Headquarters: Canada - Remote (ON, AB, BC, or NS Only)

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team — purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As the AI Engagement Manager, you are the operational backbone of the engagement — the person who makes complex, multi-stakeholder AI engagements actually move. This is an orchestration role, not a commercial one; success is measured by getting partners to value, not by signings or P&L. You own the partner relationship from discovery through workflow adoption, hold the team accountable to delivery, and serve as the primary bridge between field execution and R&D — all while managing multiple engagements simultaneously in an environment where the playbook is still being written.

About the Job 

• Own the full AI engagement arc. From first discovery through sustained workflow adoption — serving as the external partner's single point of contact across every phase while driving scope, timelines, milestones, and escalations and keeping cross-functional workstreams aligned and moving. There is no "launch and hand off" in this model.
• Drive requirements and delivery precision. Shape engagement structure, align on objectives, translate partner needs into a clear execution plan, and track against it with rigor. Surface risks early and keep stakeholders — partner and internal — ahead of problems, not behind them.
• Champion continuous quality. In AI engagements there's no single gate — value is proven iteratively. You oversee the testing and feedback loops that ensure the platform is performing against real partner workflows, track adoption progress, and stay on top of the change management work that determines whether a deployment becomes a lasting behavior change.
• Hold the R&D feedback loop. You are accountable for ensuring field learnings flow back to R&D and that R&D delivers on agreed roadmap commitments. When either side of the loop breaks down, you own the escalation.
• Build playbooks. Identify reusable patterns across engagements and turn them into scalable delivery frameworks the whole pod can use. We are early; what you build now will become the foundation for how this team operates at scale.
• Own engagement economics. Track the full cost structure of every active engagement — resource allocation across the pod, time spent per workstream, and cost card inputs — and maintain a running view of cost-to-deliver across the portfolio. Surface cost/benefit signals to inform prioritization and go/no-go decisions on new engagements. As the pod scales, your cost data becomes the foundation for delivery efficiency benchmarks.
• This is a field-first role. Travel is part of the job — expect to be on-site at partner locations during key engagement phases, with travel that could reach 50%+ at peak. Presence matters in this model.

About You

Minimum Qualifications

• 8+ years in technical project management, enterprise engagement management, or a related field — with a track record of delivering complex, multi-stakeholder technical programs end to end to external enterprise clientele. 
• Demonstrated experience managing programs across the full software development lifecycle — from requirements definition and scoping through build, test, and launch — including the ability to identify and manage risk, develop detailed work plans, and allocate resources across concurrent workstreams.
• Technical fluency sufficient to hold credible conversations with partner engineering teams, understand AI/ML implementations and integration dependencies, and manage technically complex delivery workstreams without being the technical expert in the room.
• Experience building and maintaining engagement cost models — tracking resource utilization, time allocation, and cost inputs across concurrent programs and translating those into cost/benefit analysis that informs business and deal-level decisions.
• Exceptional communication, organizational, and time management skills, paired with a sharp attention to both details and overarching project objectives. An expert in facilitating highly productive internal and external meetings - and creating assets and processes which drive project clarity at every step.
• Comfort operating in ambiguous, fast-moving environments where structure doesn't yet exist.
• Proficiency across program management tools (Jira, Asana, Smartsheet), collaboration and documentation platforms (Confluence, Google Workspace), and executive-level presentation tools (PowerPoint, Google Slides). 
• Bachelor's degree in Technology, Engineering, Business, or related field, or equivalent practical experience.
• Willingness to travel ~50% within North America.

 

Preferred Qualifications

• Experience managing AI, data platform, or systems integration deployments at enterprise scale.
• Background in retail tech, e-commerce, operations, or CPG.
• Experience working at the intersection of engineering, product, and commercial teams.
• Familiarity with agentic AI platforms, LLM APIs, or RAG-based systems — enough to be conversant with partners and contextualize where Instacart's platform fits.
• Familiarity with CRM tools (Salesforce), BI and reporting platforms (Tableau, Looker, Power BI), and workshop facilitation tools (Miro, Lucidspark) — enough to stay aligned with pipeline, interpret engagement metrics, and run a working session when needed.
• PMP or equivalent program management credentials.
• Prior work in a forward-deployed, embedded, or startup environment.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here. Currently, we are only hiring in the following provinces: Ontario, Alberta, British Columbia, and Nova Scotia.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For Canadian based candidates, the base pay ranges for a successful candidate are listed below.

CAN$185,000—$195,000 CAD

To apply: https://weworkremotely.com/remote-jobs/instacart-ai-engagement-manager

Headquarters: United States - Remote

We're transforming the grocery industry

At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers.

Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table.

Instacart is a Flex First team

There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work.

Overview

The Enterprise AI Pod is a forward-deployed, field-first unit within Instacart's Enterprise Solutions team — purpose-built to take the Instacart Intelligence Platform to market with B2B retail and CPG partners. As the AI Engagement Manager, you are the operational backbone of the engagement — the person who makes complex, multi-stakeholder AI engagements actually move. This is an orchestration role, not a commercial one; success is measured by getting partners to value, not by signings or P&L. You own the partner relationship from discovery through workflow adoption, hold the team accountable to delivery, and serve as the primary bridge between field execution and R&D — all while managing multiple engagements simultaneously in an environment where the playbook is still being written.

About the Job 

• Own the full AI engagement arc. From first discovery through sustained workflow adoption — serving as the external partner's single point of contact across every phase while driving scope, timelines, milestones, and escalations and keeping cross-functional workstreams aligned and moving. There is no "launch and hand off" in this model.
• Drive requirements and delivery precision. Shape engagement structure, align on objectives, translate partner needs into a clear execution plan, and track against it with rigor. Surface risks early and keep stakeholders — partner and internal — ahead of problems, not behind them.
• Champion continuous quality. In AI engagements there's no single gate — value is proven iteratively. You oversee the testing and feedback loops that ensure the platform is performing against real partner workflows, track adoption progress, and stay on top of the change management work that determines whether a deployment becomes a lasting behavior change.
• Hold the R&D feedback loop. You are accountable for ensuring field learnings flow back to R&D and that R&D delivers on agreed roadmap commitments. When either side of the loop breaks down, you own the escalation.
• Build playbooks. Identify reusable patterns across engagements and turn them into scalable delivery frameworks the whole pod can use. We are early; what you build now will become the foundation for how this team operates at scale.
• Own engagement economics. Track the full cost structure of every active engagement — resource allocation across the pod, time spent per workstream, and cost card inputs — and maintain a running view of cost-to-deliver across the portfolio. Surface cost/benefit signals to inform prioritization and go/no-go decisions on new engagements. As the pod scales, your cost data becomes the foundation for delivery efficiency benchmarks.
• This is a field-first role. Travel is part of the job — expect to be on-site at partner locations during key engagement phases, with travel that could reach 50%+ at peak. Presence matters in this model.

About You

Minimum Qualifications

• 8+ years in technical project management, enterprise engagement management, or a related field — with a track record of delivering complex, multi-stakeholder technical programs end to end to external enterprise clientele. 
• Demonstrated experience managing programs across the full software development lifecycle — from requirements definition and scoping through build, test, and launch — including the ability to identify and manage risk, develop detailed work plans, and allocate resources across concurrent workstreams.
• Technical fluency sufficient to hold credible conversations with partner engineering teams, understand AI/ML implementations and integration dependencies, and manage technically complex delivery workstreams without being the technical expert in the room.
• Experience building and maintaining engagement cost models — tracking resource utilization, time allocation, and cost inputs across concurrent programs and translating those into cost/benefit analysis that informs business and deal-level decisions.
• Exceptional communication, organizational, and time management skills, paired with a sharp attention to both details and overarching project objectives. An expert in facilitating highly productive internal and external meetings - and creating assets and processes which drive project clarity at every step.
• Comfort operating in ambiguous, fast-moving environments where structure doesn't yet exist.
• Proficiency across program management tools (Jira, Asana, Smartsheet), collaboration and documentation platforms (Confluence, Google Workspace), and executive-level presentation tools (PowerPoint, Google Slides). 
• Bachelor's degree in Technology, Engineering, Business, or related field, or equivalent practical experience.
• Willingness to travel ~50% within North America.

 

Preferred Qualifications

• Experience managing AI, data platform, or systems integration deployments at enterprise scale.
• Background in retail tech, e-commerce, operations, or CPG.
• Experience working at the intersection of engineering, product, and commercial teams.
• Familiarity with agentic AI platforms, LLM APIs, or RAG-based systems — enough to be conversant with partners and contextualize where Instacart's platform fits.
• Familiarity with CRM tools (Salesforce), BI and reporting platforms (Tableau, Looker, Power BI), and workshop facilitation tools (Miro, Lucidspark) — enough to stay aligned with pipeline, interpret engagement metrics, and run a working session when needed.
• PMP or equivalent program management credentials.
• Prior work in a forward-deployed, embedded, or startup environment.

#LI-Remote

Instacart provides highly market-competitive compensation and benefits in each location where our employees work. This role is remote and the base pay range for a successful candidate is dependent on their permanent work location. Please review our Flex First remote work policy here.

Offers may vary based on many factors, such as candidate experience and skills required for the role. Additionally, this role is eligible for a new hire equity grant as well as annual refresh grants. Please read more about our benefits offerings here.

For US based candidates, the base pay ranges for a successful candidate are listed below.

CA, NY, CT, NJ$214,000—$226,000 USDWA$205,000—$216,500 USDOR, DE, ME, MA, MD, NH, RI, VT, DC, PA, VA, CO, TX, IL, HI$196,000—$207,000 USDAll other states$178,000—$188,000 USD

To apply: https://weworkremotely.com/remote-jobs/instacart-ai-engagement-manager

Please whitelist the domains “lever.co” and “hire.lever.co” with your email provider to make sure you get our emails.

Disclaimer: This is a generic job description for the position stated below. Actual tasks and tools will be discussed further when you reach the final interview stage. Please ensure you apply for the right job based on your location and experience. We prioritize people who can do this successfully!

N8N Automation Specialist

Wing is on the exciting mission of redefining the future of work for companies worldwide! We are looking to be the one-stop shop for companies that are looking to build world-class teams & place their operations on autopilot.

And we’re looking for a N8N Automation Specialist to start immediately!

Duties and Responsibilities include but are not limited to:

• Workflow Automation: Developing n8n workflows and administering monday.com (including their APIs).

• Integrations: Connecting OpenAI/AI-agents, Gmail/Google Workspace, and QuickBooks Online.

• Development & Support: Writing JavaScript and/or Python, managing databases, handling webhooks/authentication, and doing error logging/troubleshooting.

• Project Management: Managing outside developers, documenting procedures, testing, and user training.

• Process Improvement: Continuously optimizing their workflows.

Required Tools

• N8N

• Monday.com

Qualifications:

• Technical Background: Experience with APIs, webhooks, and database authentication. They should also know JavaScript and/or Python.

• Systems & Troubleshooting: Ability to handle error logging, system monitoring, and troubleshooting.

• Project Management: Experience managing outside developers, running technology projects, and doing continuous process improvement.

• Documentation & Training: Ability to document procedures, test workflows, and train internal users.

• Schedule: Must be available part-time from 9:00 AM - 1:00 PM CST.

Technical Requirements:

• USB Headset with Noise Cancellation feature

• Working Webcam

• Computer with at least 1.8 GHz processor and at least 4GB RAM

• Main Internet Service Speed: at least 25 Mbps cable connection

• Backup Internet Service Speed: at least 10 Mbps

Benefits:

• Performance Incentives

• Job Security and Stability

• Paid Training

• Inclusive Culture

• Upskilling Opportunities

• 100% Work-From-Home

• Exceptionally Supportive Team

• Opportunities for Career Growth

• Fun Work Environment

• Holiday & Overtime Pay

Schedule: US work hours (20 hours per week, Part-time)

Location: 100% Remote

Salary Package: Up to ₱30K/month

Please note:

• Only qualified candidates will be invited to take the assessment & scheduled for an interview.

• We have other vacancies that might interest your friends & colleagues. They can check us out at our Jobs Website.

• You may also refer your friends using our Affiliate Marketing Program and earn up to $30 if your referral is hired.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

₱25,000 - ₱30,000 a month

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Who We Are

Derivative Path empowers institutions across the capital markets with innovative, AI-driven technology and expert advisory solutions. Our award-winning cloud platform supports banks, credit unions, private equity firms, hedge funds, asset managers, and insurance companies in managing interest rate, FX, and commodity risks, optimizing hedging strategies, and streamlining cross-border payments. With a client base spanning over 250 financial institutions and leading private equity firms, we deliver scalable solutions that enhance risk management and drive operational performance. Through strategic partnerships with Goldman Sachs, Wells Fargo, FNBO, Q2, and Jack Henry, we provide best-in-class capabilities to help clients achieve their financial objectives in an ever-evolving market.

With a team of seasoned professionals comprised of decades of industry experience, Derivative Path offers a flexible, hybrid work environment to its 125+ employees with the ability to work remotely in Canada. The Company is dedicated to building a diverse environment and has an unwavering commitment to creating a sense of belonging for all employees.

The Opportunity

We are looking for an Applied AI Engineer to join the AI Lab team within DerivativeEDGE. Reporting to the AI Lab lead, you will work closely with Engineering, Product, and domain experts to design, build, and ship AI-powered features in a complex, high-stakes financial environment. This is a hands-on engineering role. You will move between experimentation and production, work through ambiguous problems, and deliver AI capabilities that real clients use. Generic approaches do not get you far here. The expectation is that you learn the domain, move with urgency, and build things that hold up. The core of this role sits at the intersection of Generative AI, Agentic Workflows, and Data Engineering: building LLM-powered solutions, designing agents that can reason and act across complex workflows, and making sure the right data is available to support it all. Applied to financial derivatives, these are genuinely hard problems worth solving.

What You Will Do

• Build and ship LLM-powered features across the DerivativeEDGE platform, working directly with domain experts to translate complex financial workflows into reliable AI capabilities.
• Design and implement agentic workflows that can reason, act, and recover gracefully across multi-step processes in a production environment.
• Own the data engineering layer that feeds AI systems: pipelines, retrieval architectures, context design, and data quality.
• Move fluidly between experimentation and production. You will prototype quickly, evaluate honestly, and know when something is ready to ship.
• Contribute to the AI Lab’s broader technical direction, including evaluations, tooling, MLOps practices, and the patterns the team builds on.
• Depending on where projects take you, work may also touch NLP, model fine-tuning, synthetic data, or reinforcement learning. Curiosity and a willingness to build in new areas are expected

About You

• You are someone who moves with purpose. You form a view based on what you know, test it against reality, and adjust as you learn. Ambiguity is not a blocker for you; it is just the nature of early-stage problems.
• You are hands-on by preference. Writing code, building pipelines, running experiments: that is where you do your best thinking.
• You are a quick study. Financial derivatives is a specialized domain and we do not expect you to know it coming in. What we do expect is genuine curiosity, because the depth you develop here will directly shape the quality of what you build.
• You stay constructive. This is a team working on consequential problems in a demanding environment. When things go sideways, you focus on the path forward. Collaboration and good energy matter.
• You are pragmatic about tools and languages. You reach for whatever the project calls for and stay open to better options as they emerge.

Qualifications

• Building with LLMs: prompt engineering, RAG, fine-tuning, agents, or inference pipelines
• Data engineering: designing and building pipelines that feed real workflows
• ML or data science work, especially in complex or data-constrained environments
• Working knowledge of Python and common AI/ML frameworks (PyTorch, HuggingFace, LangChain, or similar)
• MLOps or production AI experience: getting models out of notebooks and into the real world
• Cloud platform experience (Azure, AWS, or GCP)
• Experience with reinforcement learning or financial derivatives is a bonus, not a baseline.

Location

• Canada

Benefits

• Competitive bonus, base salary, and equity compensation
• 23 days of PTO
• Fully remote
• RRSP contribution at 3%
• Competitive health benefits

The expected salary for this position is $110k - $150k CAD and is eligible for a discretionary bonus and equity. We will consider your skills, experience, and location when determining your pay.

---—————————————————————————————————————

Derivative Path is an equal opportunity employer and does not discriminate based on any of the following: race, religious creed, color, age, sex, sexual orientation, gender identity, gender expression or gender characteristic, national origin, religion, marital status, medical condition, physical or mental disability, military service or veteran status, pregnancy, childbirth and related medical conditions, or any other classification protected by federal, state, and local laws and ordinances. Derivative Path offers a comprehensive benefits package, including health, dental, vision, retirement plan, contribution, and a generous paid time off policy.

CSC Generation is the AI-native holding company re-engineering omnichannel retail. We acquire iconic brands and transform them with Genesis, our operating platform combining a Data Fabric, Automation Engine, proprietary tools, and shared services to modernize operations, elevate customer experience, and expand margins. With $1B+ in revenue across 13 brands, our portfolio includes Sur La Table, Backcountry, One Kings Lane, and others that serve as real-world innovation labs.

Reports to: VP, Performance Marketing

Location: Toronto, ON (Hybrid) preferred

About the Role

As our AI Solutions Engineer, you will build, deploy, and scale AI-powered tools and automations across CSC Generation’s portfolio of brands. This is a hands-on role that connects AI capabilities with real business processes — you will partner directly with teams, identify where automation creates leverage, and ship solutions that stick.

You will start in performance marketing and expand into operations, creative, and logistics wherever AI can unlock efficiency and scale. Success in your first 6–12 months means production automations are live, teams across multiple departments are actively using them, and measurable reductions in manual work are documented.

What You’ll Do

• Build and deploy AI tools and automations across brands, including image processing, feed optimization, content generation, reporting, and process streamlining.
• Connect software systems and APIs to create integrated workflows that scale across multiple brands with minimal reconfiguration.
• Work directly with teams across departments to understand their manual processes and build AI-powered solutions that replicate and improve them.
• Write scripts (Python, JavaScript) and design AI workflows using platforms like Claude, ChatGPT, and workflow automation tools (n8n, Zapier, Make, or similar).
• Cross-connect data across platforms including Google Ads, Meta Ads, Google Analytics, Google Merchant Center, content management systems, and image libraries.
• Scale proven tools to additional brands by adapting validated solutions for cross-brand deployment.
• Train non-technical teams on AI tools and ensure sustained adoption and productivity gains.
• Continuously identify high-impact automation opportunities by networking across the organization and prioritizing by ROI.

Required Qualifications

• 2-5 years of experience building automations, integrations, or AI-powered tools in a marketing, e-commerce, or operations environment.
• Proven experience building autonomous AI agents and architectures, moving beyond standard, linear workflow flows (e.g., n8n, Zapier) to design stateful, dynamic AI systems.
• Strong working knowledge of LLMs (Claude, ChatGPT, etc) nd the ability to design reliable, production-grade agentic workflows, prompts, and tool-calling schemas.
• Comfortable writing Python and/or JavaScript to connect APIs, manage data pipelines, handle state, and build lightweight application layers for AI agents.
• Experience with workflow automation platforms (n8n, Zapier, Make, etc) as a component of broader automated solutions.
• Familiarity with digital marketing and e-commerce ecosystems, including platforms like Google Ads, Meta Ads, Google Analytics, or Google Merchant Center.
• Strong communication skills with a demonstrated ability to independently identify business friction, propose agentic solutions, and ship without heavy direction.

Preferred Qualifications

• Experience with n8n specifically.
• Hands-on experience infrastructure tools like MCP (Model Context Protocol) servers, LangChain, CrewAI, or similar agentic frameworks.
• Background in retail, DTC, or multi-brand e-commerce environments.
• Experience training or onboarding non-technical users on new tools.

Why Join

The people who do best here are builders. They take ownership, move fast, and want to see the direct impact of their work.

• Cross-Functional Impact: Work across marketing, e-commerce, creative, logistics, and operations. Your automations will touch every part of the business.
• AI-First Environment: This isn’t an AI experiment. Get hands-on with the most advanced AI tools in market — from workflow automation to LLM-powered systems — and build a modern skill set that sets you apart.
• Ownership from Day One: You will set your own priorities, identify your own opportunities, and ship solutions end-to-end. High performers are quickly entrusted with broader scope across the brand portfolio.
• Competitive Benefits: Comprehensive benefits including paid time off, RRSP match, group benefits, and employee discounts across portfolio brands.

Interview Process

1. Recruiter Screen - 30-minute call to cover background, role fit, and logistics.
2. Take-Home Challenge - Build a working automation flow demo (2-3 days, open book). We’re evaluating problem-solving and AI fluency, not memorized syntax.
3. Solution Review Interview - Walk us through your solution, then handle live modifications on the call. We’ll also assess how you communicate to non-technical stakeholders.
4. In Person Interview - Details and logistics will be arranged with your recruiter.
5. Reference Checks - We’ll ask for professional references and conduct checks in parallel with final steps.
6. Offer - We move fast for the right candidate.

$75,000 - $85,000 a year

CSC Generation is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law.

The CSC Generation family of brands is committed to providing reasonable accommodations for qualified individuals with disabilities in our job application procedures. If you need assistance or accommodation due to a disability, please contact [email protected].

For Ontario applicants, please note that this posting is for an existing vacancy.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Elite is the trusted automation platform for law firm operations across most of the world’s largest and most successful law firms. Elite has guided firms through every technology shift and today delivers the only cloud-native SaaS platform that unifies financial, invoice, time, and data management into a single system of action. With embedded AI, predictive analytics, and integrated payments, Elite’s products enable firms to shorten billing cycles, reduce write-offs, and unlock firm-wide insights, making financial operations the foundation for law firm innovation and growth. Learn more at elite.com.

Position Overview

This role is designed for an AI-fluent individual contributor who helps shape how Elite identifies, evaluates, and applies AI across both enterprise functions and product. The position partners closely with leaders and delivery teams to guide ideation around AI and agentic automation use cases, helping teams move from opportunity framing to practical implementation paths.

The position combines hands-on technical depth with strong strategic judgment. It drives the exploration, experimentation, and rapid prototyping of emerging AI technologies, tools, and implementation patterns, while influencing the company’s broader AI direction through practical insight and demonstrated results. Rather than owning large-scale delivery directly, this role accelerates learning, informs decision-making, and helps establish scalable approaches that teams can adopt across the organization.

Work Arrangement:​Remote​

This role requires the individual to be based in ​Flexible across U.S. time zones​time zone.

Responsibilities

• Guide business, product, and technology teams through ideation for AI and agentic automation opportunities, helping frame use cases, value hypotheses, feasibility, and implementation approaches
• Drive exploration of emerging AI technologies, tools, and patterns to assess their applicability across enterprise and product scenarios
• Lead experimentation and rapid prototyping to validate new ideas, reduce uncertainty, and accelerate learning before broader investment or delivery
• Develop proof-of-concepts and reference implementations that demonstrate practical approaches for AI-enabled workflows, copilots, and agentic automation
• Influence enterprise and product AI strategy by surfacing insights from experimentation, identifying patterns, and recommending high-value opportunities and technology directions
• Partner with product, engineering, architecture, and business stakeholders to translate promising ideas into scalable implementation plans and adoption paths
• Help define practical standards, reusable patterns, and guardrails for responsible AI and agentic solution design
• Act as a trusted internal advisor on AI trends, tradeoffs, and emerging capabilities, bringing a pragmatic perspective grounded in hands-on experience
• Build organizational confidence and fluency in AI by helping teams understand what is possible, what is practical, and how to move forward effectively
• Reduce fragmentation by standardizing AI tools and approaches across teams while enabling innovation where it drives value
• Contribute thought leadership that strengthens Elite’s long-term AI vision while balancing innovation, practicality, security, and business value
• Perform other duties as assigned to support departmental and company objectives.​

Qualifications:

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, or a related technical field, or an equivalent combination of education and hands-on experience
• 9+ years strong experience in AI/ML, software engineering, data platforms, solution architecture, or related technical roles, with demonstrated hands-on work in modern AI technologies
• Hands-on experience with Generative AI, including large language models, prompt engineering, retrieval patterns, orchestration frameworks, and AI-enabled workflow automation
• Demonstrated ability to explore new technologies quickly, build prototypes, and turn ambiguous ideas into practical recommendations and next steps
• Experience guiding cross-functional teams through technical discovery, use case shaping, experimentation, and early implementation planning
• Strong understanding of emerging AI patterns such as copilots, multi-step orchestration, agentic workflows, evaluation approaches, and human-in-the-loop design
• Ability to influence senior stakeholders and strategy through clear communication, credible technical judgment, and practical insight
• Experience balancing innovation with responsible AI considerations, including data governance, security, compliance, and operational practicality
• Ability to travel up ​ 10–25% ​ as business needs require
• Role requires the following physical capacity:​​Sedentary: primarily desk/computer work​
• Must be legally authorized to work in​​United States​; ​Elite does not provide employment sponsorship for this position​

Benefits:

• Competitive Compensation Package ($202,500-$225,000 base salary + variable component)
• Comprehensive Healthcare Coverage (Health, Dental, Vision)
• Retirement Savings Plan with an Employer Contribution
• Professional Development Opportunities
• Time Off
• Wellness Initiatives
• Employee Assistance Program
• Generous Global Parental Leave
• Calm, free premium subscription
• Employee Discount Program

Elite may use technology, including artificial intelligence-enabled tools, to assist in aspects of the recruiting and employment process. These tools are used to support, but not replace, human decision-making.

Please note that we do not offer sponsorship for this position.

Additional Information

At Elite Technology, we embrace an employee-centric, flexible work model that empowers you to do your best work in the environment that suits you. However, we also recognize the importance of in-person collaboration for key moments that truly matter.

In our flexible remote approach, you have the freedom to choose a workspace within your home country that best fits your needs. Our corporate offices are located in New York City, Los Angeles, Costa Rica, and the Philippines, providing additional options for those who prefer or need a hybrid work environment.

Our diverse global team spans the U.S., Canada, U.K., Costa Rica, the Philippines, and Australia. Please note that at this time, we are unable to hire employees located in Quebec or Ontario Provinces, Alaska, Hawaii, Puerto Rico, Louisiana, and Oklahoma .

As a global business, we rely on diversity of culture and thought to deliver on our goals. To ensure we can do that, we seek talented, qualified employees in all our operations around the world regardless of race, color, sex/gender, including pregnancy, gender identity and expression, national origin, religion, sexual orientation, disability, age, marital status, citizen status, veteran status, or any other protected classification under applicable law. We are proud to be an Equal Employment Opportunity/Affirmative Action Employer providing a drug-free workplace.

We also provide reasonable accommodation for qualified individuals with disabilities and for sincerely held religious beliefs in accordance with applicable law.

We are not accepting applications submitted through recruiting agencies.

Harbor Labs is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, but we’re building this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how we operate.

We’re looking for a Director of AI Engagements to lead our most important client relationships and set the strategy for how we deploy AI in production. This is a senior role for someone who can sit across the table from a GC or COO, shape the direction of an engagement, and then roll up their sleeves and build alongside the team to deliver it.

This is a leadership role, but not a hands-off one. You’ll own the strategy for your engagements and stay close enough to the work to configure systems, pressure-test outputs, and make the calls that determine whether AI actually sticks in a client’s day-to-day.

What Makes This Different:

Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teams actually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, and we’re determined to avoid them.

We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren’t obvious, and that’s the point. As a senior leader here, you set the bar for how we approach those problems and how we show up with clients.

What You’ll Do:

• Own the strategy for your engagements. Shape what success looks like with the client’s leadership, define the roadmap, and make the prioritization calls. You’re accountable for the outcome and the relationship, not just the deliverable.
• Lead at the executive level. Be the trusted partner to GCs, COOs, and heads of legal operations. Translate where AI is heading into a concrete plan they can get behind, and bring skeptics along.
• Stay hands-on with the work. Configure systems, structure knowledge sources, write and refine prompts, design test cases, and validate outputs against real data. You lead from inside the work, not above it.
• Set direction for delivery. Define how an engagement is scoped, staffed, and sequenced. Work shoulder-to-shoulder with engineers and delivery leads to turn an ambiguous business problem into a production system.
• Design the operating model, not just the workflow. Figure out how AI changes the way a legal team operates: the processes, the roles, the governance. Redesign how the work gets done, then make the change actually happen.
• Drive architecture and integration decisions. Partner with engineers on how AI fits into client tech stacks: APIs, data flows, security and compliance requirements. Hold the line on what’s production-grade.
• Help build Harbor Labs itself. This is a ground-floor leadership opportunity. You’ll shape how we sell, how we deliver, who we hire, and where we go next.

What We’re Looking For:

• You operate like an owner. You’ve run engagements, programs, or a function end-to-end and been accountable for the result. You set direction when there isn’t one and you don’t wait for permission to fix what’s broken.
• You lead from the front, hands on the work. Seniority hasn’t pulled you away from the details. You’re as comfortable in a configuration screen or a prompt as you are in a boardroom, and you believe the two can’t be separated.
• You’ve delivered real change in how teams work. You understand legal operations, professional services, or a comparable environment, and you’ve redesigned how people actually do their jobs, not just shipped a tool.
• You’re deeply fluent in AI, but not captured by hype. You understand how these systems work in production: RAG architectures, agentic workflows, prompt engineering, evaluation methods. You know how to separate signal from noise when every vendor claims to be the next breakthrough.
• You hold current model-provider credentials. Anthropic Academy certifications (AI Fluency: Framework & Foundations, Claude Code, Building with the Claude API, Model Context Protocol) are a strong plus, and current OpenAI Academy coursework counts too. We treat these as a real signal, not a checkbox: they show you’re building with today’s tools, not describing yesterday’s.
• You’re technical-adjacent and unafraid of it. You don’t need to write Python all day, but you can read an API doc, reason about a system architecture, and have a credible conversation with engineers about tradeoffs.
• You command a room at any level. Executive presentations, working sessions with skeptical users, hard conversations about scope and risk. You build trust fast and hold it under pressure.
• You’re relentlessly practical. You care about what works in production and what changes client behavior, not what sounds impressive in a deck.
• You’re comfortable with ambiguity. Harbor Labs is new and the market is evolving. You’ll set the playbook, not follow one.

Nice to Have:

• Senior experience in legal operations, legal technology, or a transformation/innovation function
• Track record leading client engagements in consulting or professional services
• Experience at a product company (product, solutions, or delivery leadership)
• Hands-on experience with a broad range of AI development tools and LLM APIs

Why Harbor Labs:

We’re a small, senior team working on hard problems with clients who are serious about deploying AI in production. The work is hands-on, the ownership is real, and the leadership you exercise here will directly shape what this team becomes.This is early. You’ll have meaningful input into the strategy, the team, and what Harbor Labs grows into.

How to Apply:

Send us a note about why this role interests you and an engagement or initiative you led that you’re proud of, ideally one where you set the strategy and stayed close to the work. Examples and references matter more to us than a polished resume.

About Us:

Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 900+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.

Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.

Harbor Labs is a new team within Harbor focused on solving hard AI implementation problems in the legal market. We have strong hypotheses about what works, but we’re building this like a startup: learning as we go, adjusting direction based on what the market tells us, and staying flexible about how we operate.

We’re looking for an AI Delivery Lead to join at the ground floor. This role sits at the critical intersection between our engineering team and our clients, translating ambiguous business problems into concrete AI solutions, then driving them across the finish line.

This is not a management role. You will be hands-on: building AI-powered applications and solutions, designing transformational workflows, running workshops, configuring systems, testing with real data, and working shoulder-to-shoulder with clients to make AI actually useful in their day-to-day work.

What Makes This Different:

Our edge is combining deep legal domain experience with product sensibility and strong engineering. We understand how legal teams actually work, what change management looks like in risk-averse environments, and how to build software that people will use. We also know the common pitfalls of enterprise software in traditionally low-innovation areas like law, and we’re determined to avoid them.

We focus on hard, novel problems where standard platforms fall short. The work is ambiguous, the solutions aren’t obvious, and that’s the point.

What You’ll Do:

• Own client delivery end-to-end. Lead engagements from problem definition through production deployment. You’re accountable for outcomes, not just activity.
• Translate between business and engineering. Work with legal teams to understand what they actually need (not just what they say they want), then spec solutions our engineers can build.
• Design AI-native workflows. Figure out where AI fits in existing processes, what needs to change, and how to make the human + AI collaboration actually work.
• Get your hands dirty with the product. Configure systems, curate and structure knowledge sources, write prompts, design test cases, and validate outputs against real-world data.
• Drive integrations and architecture decisions. Work with engineers to figure out how AI fits into client tech stacks: APIs, data flows, security requirements.
• Run enablement and change. Train users and knowledge source owners on how to work with AI systems. Help people understand what AI can and can’t do, and design around both.
• Help build Harbor Labs itself. This is a ground-floor opportunity. You’ll shape how we work, what we build, and where we go next.

What We’re Looking For:

• You define problems, not just solve them. You don’t build to spec. You challenge assumptions, ask hard questions, and carve a path through unstructured, complex problem spaces. You can develop a vision when there isn’t one.
• You’ve shipped AI products or implementations. You understand how these systems actually work: RAG architectures, agentic workflows, prompt engineering, evaluation methods. You’ve seen what breaks in production.
• You’re deeply fluent in AI, but not captured by hype. You follow what’s happening in the space closely and understand current best practices. You also know how to separate signal from noise when every vendor is claiming to be the next breakthrough.
• You hold current model-provider credentials. Anthropic Academy certifications (AI Fluency: Framework & Foundations, Claude Code, Building with the Claude API, Model Context Protocol) are a strong plus, and current OpenAI Academy coursework counts too. This is a real signal for us, not a checkbox: it shows you’re building with today’s tools.
• You’re technical-adjacent, not afraid of code. You don’t need to be writing Python all day, but you can read an API doc, understand a system architecture diagram, and have an intelligent conversation with engineers about tradeoffs.
• You can run a room. Workshops, executive presentations, working sessions with skeptical users. You’re comfortable leading conversations at any level.
• You’re relentlessly practical. You care about what actually works in production, not what sounds impressive in a deck.
• You’re comfortable with ambiguity. Harbor Labs is new. The market is evolving. You’ll need to figure things out without a playbook.

Nice to Have:

• Background in legal technology, legal operations, or enterprise software
• Experience at a product company (PM, solutions engineering, customer success)
• Hands-on experience with a broad range of AI development tools and LLM APIs
• Experience in consulting or professional services environments

Why Harbor Labs:

We’re a small team working on hard problems with clients who are serious about deploying AI in production. The team is senior, the work is hands-on, and you’ll have real ownership over what you deliver.This is early. You’ll have meaningful input into what Harbor Labs becomes.

How to Apply:

Send us a note about why this role interests you and what you’ve built or shipped that you’re proud of. Links, portfolios, or examples of your work are more valuable than a polished resume.

About Us:

Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 900+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem.

Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.

Headquarters: Remote - USA

Ready to do the most impactful work of your career? At Coinbase, we are uncompromising on our mission to increase economic freedom. The bar is high, the environment is intense, and we like it that way. This isn't a place for complacency, it’s a place to be pushed past your perceived limits. If you're ready to build the future of finance alongside people who refuse to settle for "good enough," you belong here. Coinbase is a remote-first, but not remote-only company. Expect to get together quarterly for intense in-person working sessions called “surges.” learn more about working at Coinbase.

Coinbase's Compliance organization manages regulatory obligations across products, operations, and growth — spanning transaction monitoring, sanctions screening, regulatory change management, and exam readiness across 60+ global entities. This role sits directly inside the Office of the CTO, embedded as a founding engineer within Compliance. You'll identify high-value workflow opportunities, rapidly prototype solutions using Coinbase's existing AI platform, and drive measurable adoption of AI tooling across the Compliance org. You'll be the connective tissue between Compliance stakeholders and the engineering teams who maintain Coinbase's AI platform, acting as advocate, translator, and builder in one.

What you'll do:

• Embed with Compliance leadership and frontline teams to surface the automation opportunities with the greatest business leverage — developing ground-level understanding of workflows like transaction monitoring, sanctions screening, regulatory change management, and exam preparation.
• Prototype quickly and pragmatically using Coinbase's existing AI platform as the default foundation before recommending net-new builds.
• Own the Compliance automation roadmap in partnership with the Chief Compliance Officer and Compliance leadership, translating complex regulatory workflows — case resolution, trade surveillance, risk assessment, policy management — into engineering requirements and engineering constraints back to stakeholders clearly.
• Define the build-vs-buy strategy for Compliance tooling, evaluating what Coinbase should build internally, adopt from partner teams, procure from vendors, or retire.
• Ensure every automated compliance output is traceable, reviewable, and defensible to regulators — with auditability, approval gates, evidence retention, and human-in-the-loop controls as first-class design concerns, not afterthoughts.
• Drive adoption through brown-bags, prototype walkthroughs, and feedback loops that bring Compliance teams along on the journey and ensure tools actually get used.

Required Skills and Experience:

• 5+ years of software engineering experience with a demonstrated ability to ship production systems in ambiguous, stakeholder-heavy environments, with greenfield experience a strong plus.
• Hands-on experience deploying LLM-based applications, including prompt engineering, evaluation frameworks, hallucination guardrails, and human-in-the-loop design for high-stakes compliance outputs.
• Proven ability to embed with non-technical domain experts, rapidly internalize complex workflows, and translate them into engineering requirements.
• Familiarity with compliance and regulatory systems concepts: transaction monitoring, sanctions screening, regulatory filing workflows, case management, and audit-ready data handling.
• Familiarity with multi-agent orchestration concepts including how agent systems handle handoffs, escalation, and auditability.
• Experience in a Forward Deployed Engineering, Solutions Engineering, or embedded technical advisory capacity, ideally in compliance-tech, RegTech, or financial services environments.
• Utilizes generative AI responsibly, maintaining human oversight to deliver business-ready outputs and drive measurable improvements in workflow efficiency, cost, and quality.

Job ID: #P77745

 

Pay Transparency Notice: Base salary varies by location (see range below). Total compensation may also include equity and bonus eligibility, and benefits (medical, dental, vision, 401(k)). 

 

Annual base salary range (excluding equity and bonus):$218,025—$256,500 USD

• Application Limit: Candidates may submit a maximum of 3 applications within a 6-month period.
• Equal Opportunity Employer: Coinbase is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status, or genetic information. Applicants with criminal histories will be considered consistent with applicable federal, state, and local laws.
• US Applicants: View Employee Rights, Know Your Rights, and E-Verify Notice of Participation.
• Accommodations: If you are an individual with a disability who needs a reasonable accommodation, email us your request and contact info at accommodations[at]coinbase.com. Need screen reading technology? Click here to download a free compatible screen reader and view the tutorial.
• Data Privacy & Arbitration: By submitting your application, you agree to our Candidate Privacy Notice. US applicants: By submitting your application, you agree to Arbitration of Disputes.
  

To apply: https://weworkremotely.com/remote-jobs/coinbase-forward-deployed-engineer-compliance-office-of-the-cto

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Applied AI Solutions Architect to join our Applied AI team. In this role, you will translate complex business challenges into practical, production-ready Applied AI solutions that deliver measurable value for our clients. You will collaborate closely with client stakeholders, senior architects, and cross-functional delivery teams to design and guide implementation of robust AI systems. You will help move AI initiatives from experimentation to production while ensuring reliability, scalability, governance, and responsible AI adoption.

Key Responsibilities

• Lead the design of end-to-end Applied AI architectures that span predictive ML, MLOps, generative AI, LLM applications, agentic workflows, and intelligent automation aligned to client objectives and constraints.
• Translate ambiguous business requirements into clear solution designs, technical requirements, implementation roadmaps, and measurable success criteria for client engagements.
• Guide and contribute hands-on to prototypes, proofs of concept, and production implementations, ensuring high-quality delivery, robust integrations, and smooth transition into reliable production operations.
• Partner with client and internal stakeholders through discovery sessions, architecture workshops, and roadmap discussions to evaluate AI opportunities, recommend technology choices, and de-risk complex technical decisions.
• Ensure production AI systems are designed and implemented with strong attention to security, observability, evaluation, governance, cost-effectiveness, and ongoing monitoring, retraining, and support.

About You

You are a technically rigorous, client-focused problem solver who enjoys working in a fast-paced, outcomes-driven environment. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 8+ years of experience designing, building, or delivering Data, Analytics, Cloud, Software, Machine Learning, or AI solutions, including at least 5 years designing or leading AI, machine learning, MLOps, or data-intensive solutions in production.

Technical / Functional Skills

• Strong understanding of Applied AI and modern machine learning systems, including predictive ML, MLOps, generative AI, LLM applications, RAG, and agentic architectures.
• Hands-on experience with production AI/ML systems, including evaluation, observability, security, governance, and operational support.
• Experience with modern cloud, data, and AI ecosystems such as Snowflake, Databricks, AWS, Azure, Google Cloud, dbt, Anthropic, OpenAI, or similar frameworks.
• Proficiency with programming and software development, preferably in Python, and strong working knowledge of SQL.
• Proven ability to translate business and technical requirements into architectures, solution designs, and actionable implementation plans.

Education - If desired

• Bachelor’s or master’s degree in computer science, engineering, data science, or a related technical field, or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience with agentic AI systems, including orchestration, tool use, planning, memory, multi-agent patterns, or protocols such as MCP.
• Experience designing and deploying enterprise RAG systems, semantic retrieval, AI applications, or intelligent workflow automation.
• Experience with cloud-native AI/ML services such as AWS Bedrock and SageMaker, Azure AI/ML, Google Vertex AI, or Snowflake Cortex.
• Experience with model registries, feature stores, data and model lineage, model monitoring, drift detection, AI evaluations, prompt management, or AI gateways.
• Experience building reusable accelerators, modular architectures, or solutions deployed across multiple clients, and contributing to proposals, workshops, demonstrations, or broader technical communities.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients. You will take full ownership of strategic AI/ML projects from vision and solution design through deployment and ongoing optimization, ensuring that models can be trained, tuned, and operated reliably using client data. You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers, platform/DevOps teams, and business stakeholders to deliver high-quality solutions and advance phData’s delivery excellence.

Key Responsibilities

• Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.

• Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.

• Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.

• Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.

• Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.

About You

You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams. You thrive in an outcomes-driven environment, manage multiple work streams with ease, and bring a blend of strong engineering skills, strategic thinking, and excellent communication to every engagement. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions.

Technical / Functional Skills

• Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.

• Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.

• Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.

• Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.

• Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.

• End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.

Education - If desired

• Bachelor’s degree in a relevant technical field (such as Computer Science) or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience with cloud and data ecosystem technologies such as Spark, Databricks, Snowflake, AWS, Azure, or GCP in the context of building and operating AI/ML solutions.

• Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras, scikit-learn, or similar.

• Experience with containerization and orchestration technologies such as Docker and Kubernetes, and with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow for enterprise-scale ML.

• Background in consulting or professional services, including pre-sales, project scoping, and strategic advisory work for data and AI/ML initiatives.

• Contributions to technical communities, open source projects, public speaking, writing, or other relevant side projects demonstrating thought leadership in data and AI/ML.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

About TRG

TRG is on a mission to make the world a safer place. We build AI and data fusion solutions that help government agencies and national security organisations connect intelligence from across domains - cyber, physical, financial, and location - and turn it into decisions that protect people. The work is meaningful, the problems are hard, and the impact is real.

About the Role

We’re looking for a Data & AI Technical Lead to work closely with our Principal Data Engineer - taking ownership of technical design and architecture across data and AI systems, and acting as a reliable force multiplier for the team. This is a hands-on role - you design and you build.

The scope spans the full data and AI layer: how data flows between systems, how it is shaped for AI consumption, how agents and services are architected to work together reliably at scale. You’ll work in close partnership with the Principal Data Engineer, jointly shaping the architecture and evolution of the Data & AI domain. You’ll be expected to independently make and own technical decisions, drive initiatives from design through production, and provide technical leadership across the team.

You’ll work across teams and contribute to shaping how we approach Data Fusion: bringing together signals from heterogeneous systems and turning them into actionable insights through AI and data engineering. This requires someone who can hold the big picture in their head while still caring deeply about the details of implementation.

Beyond architecture, you’ll own the technical execution of initiatives within the Data & AI domain - driving work from design through production, making trade-off decisions, coordinating with adjacent teams, and staying accountable for systems after they go live.

We write code with AI - tools like Claude Code and Cursor are a core part of how we work at every level, including this one. At Technical Lead level we expect not just fluency but deliberate, opinionated use: knowing when to lean on AI, when to steer it hard, and when to step in entirely. This is a non-negotiable part of how we operate.

What You’ll Do

• Co-own technical architecture and system design with the Principal Data Engineer - covering data pipelines, AI flows, agent systems, and service integration patterns
• Lead design of data and AI flows across heterogeneous systems - defining how data is ingested, transformed, stored, retrieved, and consumed by agents and services
• Make and document architectural decisions independently when needed, providing clear reasoning and trade-off analysis
• Design and build MCP tools, RAG pipelines, and agent-facing APIs that connect AI systems to the data layer reliably
• Develop backend services with FastAPI as part of an event-driven architecture - hands-on, not just advisory
• Set and uphold engineering standards across the team: code quality, design patterns, review culture, and documentation practices
• Mentor engineers across the team - particularly on system design, data modelling, and AI integration patterns
• Use AI-assisted coding tools deliberately and help shape how the team uses them effectively
• Own the evolution of the Data & AI domain architecture, identifying technical debt, improving system design, and ensuring the long-term scalability and reliability of the platform
• Lead technical execution of initiatives from discovery to production - defining technical plans, driving implementation, overseeing rollout, and remaining accountable for post-release outcomes
• Act as the technical point of contact for initiatives within the domain, coordinating with Product Managers, engineers, QA, and adjacent teams to ensure successful delivery
• Collaborate closely with other Technical Leads and Principal Engineers to define shared interfaces, integration patterns, and cross-domain architectural decisions
• Drive engineering excellence in production through observability, monitoring, testing strategies, and operational readiness
• Participate in technical hiring and help shape the growth and technical direction of the Data & AI team

What We’re Looking For

• Strong Python engineering background - production-grade code across data pipelines, backend services, and AI integrations; you write things that last and that others can extend
• Data architecture experience - proven ability to design systems that handle data at scale: schema design, storage strategy, pipeline architecture, and data modelling for both analytical and AI workloads
• AI systems design - solid understanding of how LLMs, agents, and retrieval systems fit together; experience designing or building RAG pipelines, multi-agent systems, or tool-augmented LLM workflows
• Backend and API development - strong experience with FastAPI or equivalent; comfortable designing service contracts and integration patterns across systems
• Event-driven architecture - hands-on experience designing and operating event-driven systems in production (Kafka, RabbitMQ, or similar)
• Docker and containerisation - confident at developer and service level; able to reason about runtime environments and integration
• Technical leadership without authority - you influence through technical credibility, clear communication, and good judgment; you can drive alignment across engineers with different perspectives
• AI-first development - you code with AI tools as a genuine daily collaborator; at this level we expect you to have a formed point of view on how to use them well, not just a willingness to try
• Ownership mindset - you see a problem and you own it through to resolution; you don’t wait for someone to hand you a scope
• Adaptability - comfortable in exploratory, fast-moving environments where the right answer isn’t always obvious and requirements evolve
• Delivery ownership - experience leading technical initiatives end-to-end, from requirements and architecture through implementation, rollout, and production support; comfortable owning outcomes, not just implementation
• Cross-functional collaboration - ability to partner effectively with Product Managers, QA, and engineers across domains, balancing technical quality with delivery needs and business priorities
• Systems ownership mindset - experience operating production systems, with a strong focus on observability, reliability, incident response, and continuous improvement after release

Nice to have:

AI & Agents

• Experience with agent frameworks (LangChain, LangGraph, CrewAI, AutoGen, or similar)
• Familiarity with MCP (Model Context Protocol) and tool-use patterns in LLM systems
• Experience with vector databases or embedding-based retrieval
• Prompt engineering at scale - versioning, evaluation, and systematic iteration
• Deeper knowledge of LLMs, Neural Networks, concept of Fine Tuning, etc.

Data Engineering

• Experience with columnar or analytical databases (ClickHouse or similar)
• Familiarity with orchestration tools (Airflow, Prefect, Dagster, or similar)
• Background working across heterogeneous data sources and integration patterns

Your perks

• Working from home Hit your goals from the comfort of your home because we value the performance, not the place.
• Flexible hours because we promote work-life balance.
• Yearly performance bonus to reward good performance and hard work.
• Paid medical insurance because we like to take care of you.
• Daily lunch allowance so you can save lots of money, time, and effort by enjoying your free lunch at the office or home every day.
• Sport/Gym(Exercise) allowance to focus more on yourself, your well-being, and your health.
• Udemy unlimited subscription to promote your learning and development and grow your career.
• Onboarding plan and training so that you have a smooth induction and feel confident and ready to take over your new role.
• Equipment support so you have all the tools to do effectively and efficiently your work.
• No dress code because we want you to be as comfortable as possible.
• Gifts and rewards for celebrating birthdays, anniversaries, and personal milestones.
• Happy hours, coffee time, online team building, company events, and much more to promote team bonding and of course to have fun!
• Fresh fruit, snacks, coffee, and tea at the office because work makes us hungry!

About us

TRG TECH RESEARCH GROUP LIMITED deals with Data Fusion and AI products for civilian protection.

Our mission is to empower our customers to fight crime and terror through state-of-the-art technologies that provide accurate and precise intelligence.

Our product, Intellectus, is the only cloud-based all-in-one fusion platform with integrated web intelligence, discovery capabilities, advertisement intelligence, virtual ID management, and third-party database integration that can be deployed in less than 24 hours.

Want to learn more? Visit our website at www.trgint.com and our LinkedIn page.

TRG TECH RESEARCH GROUP LIMITED processes and/or controls all data in accordance with the EU General Data Protection Regulation (GDPR) 2016⁄679. For more information, visit our Privacy Policy.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

What You Will Do:

• Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows.
• Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably.
• Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough.
• Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy.
• Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences.
• Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers.

About the Role:

• You have 7+ years of full-time software engineering experience and strong TypeScript proficiency.
• You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure.
• You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help.
• You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment.
• Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Please Note: This is a Utah-based hybrid position which will require some regular in-office days each week. Additionally, employment with BambooHR is contingent on passing both a background and credit check.

This role requires travel to local customer sites. Our engineers work daily with AI coding tools such as Claude Code, Codex, and Cursor. The specific tools evolve over time.

AI at BambooHR

At BambooHR, we’re all about setting people free to do great work, and we believe AI is a powerful partner in that mission. We’re leaning into intelligent tools to streamline our workflows, giving us more time for high-impact innovation. We look for curious, forward-thinking people who are ready to explore how AI can elevate their work and help us reimagine the future of HR.

Essential Job Duties

BambooHR builds HR software that small and mid-sized businesses run on every day. We are looking for software engineers who use AI to build production-quality software. As a Senior Forward Deployed Engineer, you own the complete customer engagement cycle, from first discovery session to deployed solution. Engagements are focused, time-boxed, and built for SMB customers.

You are driven to solve real customer problems, and you scope, build, and ship with full autonomy. The AI tools and capabilities are changing rapidly. To stay resilient through change, you prioritize curiosity and continual learning, and you actively apply new best practices. You are accountable for what ships: its correctness, its reliability, and its fit to the problem it was built to solve.

You will:

• Lead on-site and video-based discovery sessions with customers to understand workflow challenges and produce a clear definition of what to build.
• Define project scope and deliverables with customers, setting realistic timelines and managing expectations through delivery.
• Build AI-powered agents, custom tools, and automated workflows for each customer’s HR needs, deployed within the BambooHR platform.
• Learn each customer’s internal systems and data sources to design integrations that fit their environment.
• Construct each solution so it can be adapted for customers with similar needs.
• Validate every solution for correctness, reliability, and fit before it reaches the customer.
• Transition completed engagements to the tools team with thorough documentation for clean handoffs and maintainability.
• Surface field learnings as product insights, sharing patterns and opportunities that belong in the BambooHR core product.
• Partner with Product, Engineering, and Customer Experience on roadmap opportunities identified through field work.
• Contribute to the Forward Deployed Engineering practice by applying its engagement playbooks, scoping frameworks, and handoff standards, and improving them from what each engagement teaches.

What You Need to Get the Job Done

• 5+ years of software engineering experience with a record of shipping production software.
• Sound judgment for when to build custom solutions and when to extend existing patterns for reuse.
• Full-stack development experience, building and shipping independently.
• Proficiency in designing systems, data models, and architecture, including performance and data-flow tradeoffs.
• Track record of building and deploying AI agents and AI-powered solutions.
• Fluency in context engineering: structuring repo and task context so agents execute reliably.
• Confidence reading unfamiliar code and running root-cause analysis to debug it.
• Demonstrated ability to review code for security and privacy risks: injection, data-handling, and unsafe generated output.
• Experience with test design and test evaluation harnesses.
• Proven ability to follow safe release practices: CI/CD, feature flags, staged rollout, and rollback.
• Depth in writing clear technical documentation for both people and agents.
• Strong written and verbal communication, including conveying customer needs, proposed solutions, and technical decisions to technical and non-technical audiences.
• Prior consulting or client-facing delivery experience is a plus.

What You’ll Love About Us

• A Great Company Culture that has been recognized by multiple organizations like Inc, and Salt Lake Tribune
• Comprehensive health, life, and disability insurance
• Generous leave policies that include 4 weeks of vacation, 12 company holidays, parental leave, and volunteer time off so you can enjoy quality of life
• 401k plans with up to 6% company match
• $2000 Paid-Paid Vacation bonus
• EAP through Headspace
• Check out all our benefits that benefit you

About Us

At BambooHR, we’re building something different: we’re building a people intelligence platform that transforms HR and sets people free to do great work! We’re a proven market leader driving innovation while building lasting success through thoughtful, sustainable growth. Here, you’ll find a place that champions growth: both professional and personal, both individual and collective.

We invest in potential, giving you the space to stretch your capabilities and turn good ideas into reality while providing the safety net of a supportive, values-driven culture. Our approach combines meaningful work with meaningful lives, offering competitive benefits, professional development, and the flexibility to thrive both in and outside the office.

What sets us apart isn’t just what we do, but how we do it: with openness, integrity, and a shared commitment to doing the right thing. Join us in creating HR software that makes work better for everyone, while we make work better for you.

BambooHR is committed to the full inclusion of all qualified individuals and will ensure that persons with disabilities are provided reasonable accommodations throughout the hiring process.  If you would like to request accommodations, please let your recruiter know.

BambooHR is An Equal Opportunity Employer–M/F/D/V Because our team members are trusted to handle sensitive information, we require all candidates that receive and accept employment offers to complete a background check before being hired.

For information on California Privacy Policy, click here.

Our process utilizes AI as an assistant to efficiently process and analyze candidate data. Recruiters and hiring managers maintain full oversight and accountability, ensuring that all final selection and rejection decisions are human-made and based solely on objective job qualifications. Please see our General Privacy Notice and California Privacy Notice for more details.

See our AI Guidelines for Candidates for details on how BambooHR uses AI in recruiting, how we expect candidates to use AI, and what is not allowed.

Join phData, a remote-first data and AI consultancy company with employees across the United States, Latin America, and India. We partner with industry leaders, including Snowflake, AWS, Anthropic, Azure, GCP, Fivetran, Pinecone, Glean, and dbt, to solve the complex data and AI challenges that slow large enterprises.

We’re growing fast, and we give our people real ownership over their work. We hire top performers and trust them to deliver results.

Why phData?

• Snowflake Implementation Partner of the Year — 7 consecutive years, and 2026 Snowflake AI Partner of the Year
• AWS Premier Tier Services Partner — the highest tier of recognition in the AWS Partner Network
• 2025 Fivetran Partner of the Year (4th consecutive year)
• 2025 dbt Labs Partner of the Year (3x winner) with Visionary partner status
• 2026 KNIME Customer Excellence Partner of the Year
• Preferred Partner in the Anthropic Claude Partner Network
• #1 Partner in Snowflake Advanced Certifications
• 600+ Expert Cloud Certifications (Sigma, AWS, Azure, Dataiku, and more)
• Recognized as an award-winning workplace in the US, India and LATAM

We are looking for a Principal Solutions Architect to join our Machine Learning team. In this role, you will lead the architecture, implementation, and lifecycle management of AI/ML applications that deliver measurable business value for our clients. You will take full ownership of strategic AI/ML projects from vision and solution design through deployment and ongoing optimization, ensuring that models can be trained, tuned, and operated reliably using client data. You will collaborate closely with clients, Sales, data scientists, ML engineers, data engineers, platform/DevOps teams, and business stakeholders to deliver high-quality solutions and advance phData’s delivery excellence.

Key Responsibilities

• Own and drive end-to-end solution design and delivery of AI/ML and data solutions for strategic client accounts, ensuring reliable model deployment, retraining, monitoring, and production operations that create clear business impact.

• Translate complex business and data science requirements into scalable, secure, and resilient AI/ML architectures, defining the environments, data flows, and infrastructure required for model development, training, tuning, and serving.

• Lead technical and strategic client engagements, including workshops, discovery sessions, and architecture reviews, to align stakeholders on AI/ML roadmaps, deployment approaches, and production-readiness standards.

• Ensure the quality, reliability, and observability of AI/ML solutions through robust testing strategies, documentation, monitoring, and governance that meet security, compliance, and performance expectations.

• Contribute to and leverage reusable assets such as reference architectures, accelerators, templates, and playbooks, while mentoring team members and partnering with Sales and account leadership to grow strategic AI/ML engagements.

About You

You are a customer-obsessed technical leader and consultant who enjoys solving complex data and AI/ML challenges while building trusted relationships with clients. You are equally comfortable discussing architecture with executives and diving deep into code, infrastructure, and data pipelines with engineering teams. You thrive in an outcomes-driven environment, manage multiple work streams with ease, and bring a blend of strong engineering skills, strategic thinking, and excellent communication to every engagement. You are comfortable operating in distributed, global teams and partnering with colleagues across time zones.

Required Qualifications

Experience

• 10+ years of experience as a Machine Learning Engineer, Software Engineer, Data Engineer, or Data Scientist building and deploying production data and machine learning solutions.

Technical / Functional Skills

• Strong proficiency in a modern programming language such as Python (or similar) for building production-grade data and ML solutions, including experience designing and integrating APIs and services that expose ML models.

• Ability to build and operate robust data pipelines across diverse data sources and toolsets, with strong working knowledge of SQL and experience writing, debugging, and optimizing complex and distributed queries.

• Hands-on experience with big data and analytics platforms such as Spark, Snowflake, Databricks, Redshift, Amazon EMR, HDFS, or similar large-scale data processing and storage technologies.

• Familiarity with multiple data source systems such as JMS, Kafka, RDBMS, data warehouses, MySQL, Oracle, and SAP, and how they integrate into analytical and ML environments.

• Systems-level knowledge of network and cloud architecture, Linux-based operating systems, and storage/compute platforms (e.g., AWS, Databricks, Cloudera), with proven experience designing and operating production ML systems for performance, security, scalability, and reliability.

• End-to-end software development lifecycle experience (design, documentation, implementation, testing, deployment, and ongoing operations) for data and ML solutions, including model deployment, monitoring, and lifecycle management.

Education - If desired

• Bachelor’s degree in a relevant technical field (such as Computer Science) or equivalent practical experience.

Preferred Qualifications

Preferred qualifications help candidates stand out but are not required for success in this role.

• Experience with cloud and data ecosystem technologies such as Spark, Databricks, Snowflake, AWS, Azure, or GCP in the context of building and operating AI/ML solutions.

• Experience working with data science and machine learning libraries and frameworks such as H2O, TensorFlow, Keras, scikit-learn, or similar.

• Experience with containerization and orchestration technologies such as Docker and Kubernetes, and with MLOps tooling such as AWS SageMaker, Azure ML, and MLflow for enterprise-scale ML.

• Background in consulting or professional services, including pre-sales, project scoping, and strategic advisory work for data and AI/ML initiatives.

• Contributions to technical communities, open source projects, public speaking, writing, or other relevant side projects demonstrating thought leadership in data and AI/ML.

Why phData?

• Impactful Work: Partner with leading organizations on meaningful data & AI initiatives.
• Collaborative Culture: Work with a supportive, high-performing global team that values transparency, autonomy, and continuous improvement.
• Growth Opportunities: Access to challenging projects, mentorship, and structured development pathways.
• Values-Driven: We prioritize doing the right thing for our clients, our teams, and our community.

Benefits at phData

US:

• Remote-First Work Environment
• 401k plan with company match
• Dental and Vision insurance
• Home Office Equipment Stipend
• Annual stipend for Learning and Development
• Competitive comp, excellent benefits, 4 weeks PTO plan plus 10 Holidays (and other cool perks)

phData celebrates diversity and is committed to creating an inclusive environment for all employees. Our approach helps us to build a winning team that represents a variety of backgrounds, perspectives, and abilities. So, regardless of how your diversity expresses itself, you can find a home here at phData. We are proud to be an equal opportunity employer. We prohibit discrimination and harassment of any kind based on race, color, religion, national origin, sex (including pregnancy), sexual orientation, gender identity, gender expression, age, veteran status, genetic information, disability, or other applicable legally protected characteristics. If you would like to request an accommodation due to a disability, please contact us at People Operations.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

About Vercel:

Vercel is the agentic infrastructure company. We free people and agents to ship what’s next.

For more than a decade, Vercel has shaped how the web is built. As the team behind Next.js, v0, and AI SDK, we create products that help builders move from idea to production with speed, security, and exceptional developer experience.

Now, software is entering a new era, and the next generation of products will not just be used by people. They will be built, extended, and operated by agents.

We are building the platform for that future, trusted by companies like OpenAI, PayPal, Ramp, Supreme, and millions of developers worldwide. Whether you’re building our products, supporting our customers, growing our community, or shaping our story, you’ll help define what comes next.

What You Will Do:

• Design and build V as the primary agentic interface for getting work done across Vercel, from answering questions and analyzing data to executing complex, multi-system workflows.
• Build the agent architecture that allows V to understand intent, plan work, select the right skills and tools, recover from failures, and complete long-running tasks reliably.
• Ship polished experiences across Slack, web, and other surfaces, combining natural-language interaction with rich, interactive interfaces when chat alone is not enough.
• Develop evaluation, observability, and feedback systems that measure whether V’s answers and actions are accurate, useful, efficient, and trustworthy.
• Establish primitives that make it easy for teams across Vercel to contribute new capabilities without creating fragmented agents or inconsistent user experiences.
• Help define what it means for a company to be operated through an agent and turn what we learn building V into ideas and infrastructure that can eventually benefit Vercel’s customers.

About the Role:

• You have 7+ years of full-time software engineering experience and strong TypeScript proficiency.
• You are comfortable working across product surfaces and system boundaries, from conversational UI and interactive data experiences to APIs, queues, databases, permissions, and production infrastructure.
• You care about the quality of AI interactions: context selection, tool use, memory, latency, generated interfaces, uncertainty, and how the system communicates progress and asks for help.
• You have a track record of openness and adaptability. You have moved into unfamiliar technologies, domains, or responsibilities and learned quickly. This space is changing too quickly for fixed expertise to matter more than curiosity and judgment.
• Experience with using and building agent harnesses (OpenClaw, Hermes, Pi, etc) is a plus but not required

Benefits:

• Competitive compensation package, including equity.
• Inclusive Healthcare Package.
• Learn and Grow - we provide mentorship and send you to events that help you build your network and skills.
• Flexible Time Off.
• We will provide you the gear you need to do your role, and a WFH budget for you to outfit your space as needed.

The San Francisco, CA base pay range for this role is $208,000 - $312,000. Actual salary will be based on job-related skills, experience, and location. Compensation outside of San Francisco may be adjusted based on employee location. The total compensation package may include benefits, equity-based compensation, and eligibility for a company bonus or variable pay program depending on the role. Your recruiter can share more details during the hiring process.

Vercel is committed to fostering and empowering an inclusive community within our organization. We do not discriminate on the basis of race, religion, color, gender expression or identity, sexual orientation, national origin, citizenship, age, marital status, veteran status, disability status, or any other characteristic protected by law. Vercel encourages everyone to apply for our available positions, even if they don’t necessarily check every box on the job description.

Magical is building an agentic AI platform that brings “AI employees” into the workplace to execute repetitive, operationally critical work.

Our agents help organizations move faster, reduce manual work, and improve outcomes in areas where reliability matters—particularly healthcare. We work directly with customers to understand complex workflows, deploy AI agents into real operating environments, and turn what we learn into a more powerful and scalable platform.

The shift toward agentic work is already underway, and we are building the infrastructure and deployment playbook that will define how it happens.

Magical is backed by Greylock, Coatue, Altman Capital, Lightspeed, and other investors behind companies including OpenAI, Anthropic, Hugging Face, and Notion.

About the role

We are looking for a Tech Lead to raise the technical bar across Magical’s Forward Deployed Engineering team and take on our most difficult customer and platform challenges.

This is a highly senior individual-contributor role. You will remain deeply hands-on while providing technical leadership across multiple customers, deployments, and FDE workstreams.

You will step into complex or ambiguous situations, quickly understand what is going wrong, and lead the work required to solve it. You will also coach less experienced FDEs, review technical approaches, and help the broader team develop stronger judgment and execution skills.

You will report to the Head of Deployments and work closely with Forward Deployed Engineers, Deployment Strategy, Product, and Engineering.

What you’ll do

• Take the lead on Magical’s most complex, high-risk, or technically ambiguous customer deployments.

• Get hands-on in the work—designing agentic workflows, writing and improving prompts, building integrations, debugging failures, analyzing system behavior, and shipping production solutions.

• Diagnose difficult issues across customer environments, integrations, agent performance, data quality, and platform behavior.

• Provide technical leadership across multiple customers and teams rather than owning only a single project or account.

• Review solution designs, implementation plans, testing strategies, and production-readiness for complex workflows.

• Coach FDEs through technical problems and help junior team members develop stronger problem-solving, debugging, and systems-thinking skills.

• Set an example for technical ownership, execution quality, urgency, and customer focus.

• Identify risks, architectural weaknesses, and reliability issues before they become customer-facing problems.

• Partner with Product and Engineering to distinguish between deployment-specific issues and platform-level gaps.

• Translate recurring customer challenges into reusable platform capabilities, internal tools, reference implementations, and technical standards.

• Improve the team’s practices for testing, observability, debugging, incident response, documentation, and release management.

• Help define what excellent Forward Deployed Engineering looks like at Magical.

What success looks like

• Magical’s technical deployments are delivered on time and thoroughly.

• Customer-facing issues are diagnosed accurately, with root causes addressed rather than repeatedly patched.

• FDEs make better technical decisions and become more capable of solving complex problems independently.

• Technical quality becomes more consistent across customers and workstreams.

• Repeated implementations are converted into reusable tools, patterns, and platform improvements.

• Product and Engineering receive clear, technically credible feedback from customer deployments.

• The organization can take on more complex customers without relying on a small number of people to repeatedly rescue deployments.

About you

• You have significant experience in software engineering, Forward Deployed Engineering, solutions engineering, systems integration, implementation engineering, or a similarly hands-on technical role.

• You have operated as a technical lead or senior individual contributor on complex, customer-facing software deployments.

• You are comfortable moving across the full problem space—from understanding a customer workflow to debugging an integration, improving agent behavior, and shipping a reliable production solution.

• You are an exceptional problem solver who can bring structure to unclear situations and make progress without complete information.

• You have strong technical judgment and know when to fix a local implementation, change the architecture, or escalate a platform limitation.

• You enjoy being hands-on and are willing to personally take on difficult implementation and debugging work.

• You are able to influence and lead other engineers without relying on formal management authority.

• You are a strong coach who can explain not only what should change, but how to think about the problem differently.

• You communicate clearly with engineers, deployment teams, and customer stakeholders, especially when a project is under pressure.

• You care deeply about production reliability, testing, observability, and solving the underlying cause of a problem.

• You are deeply curious about AI agents, prompting, automation, and multi-agent systems. Prior experience is valuable, but strong technical fundamentals and the ability to learn quickly matter more.

• You have a strong bias toward action and consistently demonstrate “show, don’t tell.”

• You have high agency and can prioritize, make decisions, and unblock yourself and others without waiting for perfect information.

• You are energized by early-stage environments where the technical playbook is still being created.

• You are located in Toronto or willing to relocate.

A science, engineering, or similarly technical educational background is helpful, but we care more about what you have built, solved, and learned than where you studied.

The reality of the role

This is not an advisory or architecture-only position. You will be expected to get into the details, work directly in the implementation, and stay close to a problem until it is solved.

You may move between customers, technical domains, and urgent priorities quickly. Some periods will involve intense work, incomplete information, and problems that do not have an obvious owner or solution.

You should be excited by the opportunity to step into those situations, create clarity, and lead from the front.

What we offer

• The opportunity to define the technical standard for Forward Deployed Engineering at Magical

• Ownership of some of the company’s most important and technically difficult customer problems

• A chance to work at the frontier of agentic AI and multi-agent systems

• Significant influence over Magical’s product, platform, and deployment practices

• A modern technical stack and access to leading AI tools

• Competitive compensation and meaningful equity

• Unlimited PTO

• Team offsites, with past trips including Iceland, Lisbon, Cancún, and Costa Rica

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.

Join Axon and be a Force for Good.

At Axon, we’re on a mission to Protect Life. We’re explorers, pursuing society’s most critical safety and justice issues with our ecosystem of devices and cloud software. Like our products, we work better together. We connect with candor and care, seeking out diverse perspectives from our customers, communities and each other.

Life at Axon is fast-paced, challenging and meaningful. Here, you’ll take ownership and drive real change. Constantly grow as you work hard for a mission that matters at a company where you matter.

Your Impact

This isn’t a relationship management role. It’s an ownership role. Sharp. Adaptable. Unstoppable.

You won’t wait to be asked. You’ll identify what’s broken before it becomes a problem, build solutions that didn’t exist yesterday, and earn the kind of trust that makes you indispensable to the agency — and to Axon.

In this embedded role, you are the primary owner of customer outcomes within a strategic account — accountable for the full lifecycle of Axon’s ecosystem. You combine deep technical expertise, builder instinct, operational leadership, and executive presence to help agencies transform how they operate, not just adopt software. You embed for the long haul: opening the laptop onsite, shipping on Axon’s stack, holding the room when it matters, and iterating on what you build until it sticks in production.

Success is measured by the agency’s operational outcomes and working solutions in production — not product health, not activity, not slideware.

What You’ll Do

This role is intentionally undefined in the day-to-day. Priorities shift with agency mission tempo, operational crises, and emerging opportunities. If you need a fixed playbook to succeed, this isn’t the role for you.

Building is the job. You will use Axon’s platform — AI Era, agents, workflows, integrations, and data tools — to design, build, and ship new capabilities on site. You own outcomes end to end across deployment, adoption, optimization, and ongoing success — as the accountable owner, not a coordinator of other teams’ work.

Onsite Building & Platform Delivery

• Discover agency problems onsite and translate them into buildable, compliant solutions tied to mission outcomes
• Design and ship working tools on Axon’s platform: AI agents, workflows, automations, integrations, and data pipelines — built and tested with real users and real data
• Build with Axon products, not around them — configure, integrate, and extend DEMS, Fusus, AI Era, Records, and related systems in the agency environment
• Iterate in the field until adoption sticks, then document patterns for reuse across accounts
• Apply responsible innovation guardrails — CJIS, evidence integrity, privacy — in every build. Ship working software, not slideware
• Troubleshoot onsite and coordinate root-cause resolution across Product, Engineering, Support, and Services when builds or integrations break

AI Build & Adoption

• Build and deploy AI-powered workflows (agents, prompts, RAG, evaluations) that solve defined agency problems — not generic experimentation
• Drive hands-on adoption with the people who use what you build daily
• Measure whether changes stick — usage, workflow impact, mission outcomes — and iterate when they don’t

Operational Transformation & Leadership

• Assess workflows onsite, identify friction and mission impact, and define what to build before you build it
• Move from reactive support to proactive outcome design — arrive with hypotheses, validate with command staff and operators, then build to match
• Build trusted relationships with agency leadership and operational stakeholders; lead QBRs, mission reviews, and strategic planning
• Define success metrics and capture baselines before major deployments so impact is proven, not assumed

Field Intelligence & Growth

• Capture customer insights, workflow patterns, and adoption barriers; share field intelligence with Product and Engineering to influence roadmap decisions
• Turn one-off builds into reusable playbooks and operational frameworks
• Identify expansion opportunities based on demonstrated impact; partner with Sales on long-term account strategy

Onsite Engagement & Outcomes

• Maintain consistent onsite presence (approximately 3-4 days/week), closely connected to agency operations and evolving needs
• Track customer success metrics: time-to-first-production-use, adoption depth by role and site, workflow improvements, and mission outcomes
• Support Sales → Post-Sales onboarding and handoff, establishing goals and accountability from day one

What You Bring

Required

• Experience in customer-facing technical roles, program management, operational transformation, or complex deployment environments (typically 8+ years; varied experience welcome)
• Former law enforcement or military experience preferred, not required
• Proven builder: you have shipped working automations, agents, workflows, integrations, or AI-enabled tools in customer environments — configuring products, writing integration logic, and delivering production-ready solutions. Using AI to assist is expected; owning the build is required
• Comfort working across technical and operational domains: hardware, software, cloud, AI-enabled technologies, and integrated systems
• Strong communication with both technical teams and senior stakeholders, including command staff in mission-critical environments
• Full ownership mentality in ambiguous, fast-changing environments; ability to navigate competing priorities across Product, Engineering, Sales, Support, and Services
• Ability to obtain and maintain CJIS compliance and adhere to security standards

Preferred

• Experience in public safety, law enforcement, corrections, or other mission-critical operational environments
• Familiarity with Records, Evidence, digital workflows, AI-enabled platforms, or integrated public safety ecosystems
• Background in forward-deployed engineering, solutions architecture, or operational transformation at scale

Additional Information

We recognize that candidates may bring strengths from different backgrounds and experiences. If your experience aligns closely with this role, we encourage you to apply.

This role is for builders who earn trust in the room — not for those looking for a predictable schedule or narrowly defined responsibilities. Every week looks different. That’s the job.

Benefits that Benefit You

• Competitive salary and 401(k) with employer match
• Discretionary paid time off
• Paid parental leave for all
• Medical, dental, and vision plans
• Fitness programs
• Emotional and mental wellness support
• Learning and development programs
• And yes, we have snacks in our offices

Axon is a total compensation company, meaning compensation is made up of base pay, bonus, and stock awards. The actual base pay is dependent upon many factors, such as: level, function, training, transferable skills, work experience, business needs, geographic market, and often a combination of all these factors. Our benefits offer an array of options to help support you physically, financially and emotionally through the big milestones and in your everyday life. To see more details on our benefits offerings please visit https://www.axon.com/careers.

Base Pay Range

$93,000—$148,800 CAD

Don’t meet every single requirement? That’s ok. At Axon, we Aim Far. We think big with a long-term view because we want to reinvent the world to be a safer, better place. We are also committed to building diverse teams that reflect the communities we serve.

Studies have shown that women and people of color are less likely to apply to jobs unless they check every box in the job description. If you’re excited about this role and our mission to Protect Life but your experience doesn’t align perfectly with every qualification listed here, we encourage you to apply anyways. You may be just the right candidate for this or other roles.

Important Notes

The above job description is not intended as, nor should it be construed as, exhaustive of all duties, responsibilities, skills, efforts, or working conditions associated with this job. The job description may change or be supplemented at any time in accordance with business needs and conditions.

Some roles may also require legal eligibility to work in a firearms environment.

We collect personal information from applicants to evaluate candidates for employment. You may request access, deletion, or exercise other CCPA rights at axongreenhousesupport@axon.com or via our Axon Privacy Web Form. For more information, please see the Your California Privacy Rights section of our Applicant and Candidate Privacy Notice.

Axon’s mission is to Protect Life and is committed to the well-being and safety of its employees as well as Axon’s impact on the environment. All Axon employees must be aware of and committed to the appropriate environmental, health, and safety regulations, policies, and procedures. Axon employees are empowered to report safety concerns as they arise and activities potentially impacting the environment.

We are an equal opportunity employer that promotes justice, advances equity, values diversity and fosters inclusion. We’re committed to hiring the best talent — regardless of race, creed, color, ancestry, religion, sex (including pregnancy), national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, genetic information, veteran status, or any other characteristic protected by applicable laws, regulations and ordinances — and empowering all of our employees so they can do their best work. If you have a disability or special need that requires assistance or accommodation during the application or the recruiting process, please email recruitingops@axon.com.  Please note that this email address is for accommodation purposes only. Axon will not respond to inquiries for other purposes.

Phishing alert:  Axon will never ask you to pay for any part of the hiring process, including training, equipment, or background checks. We do not make job offers via text message, WhatsApp, or instant messaging platforms without a formal interview process.  All legitimate job openings are listed on our official careers page at https://www.axon.com/careers.  If you receive a suspicious offer or outreach from an email address that is not @axon.com, or if you are asked for sensitive personal information (bank details, Social Security Number) prematurely, please ignore the message and report it to recruitingops@axon.com.