Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Senior Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.

What Will You Do?

Primary responsibilities include:

• Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.
• Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly.
• Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built.
• Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.
• Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership.
• Partner with IT, Security, and Data teams so every deployed application meets SentinelOne’s standards for data security, compliance, and long-term supportability.
• Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.
• Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
• Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 8 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
• Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team.
• Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns.
• A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck.
• Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you.
• Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
• Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
• Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave

Insurance & Financial Security

• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$184,000—$253,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

Our Purpose

At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us

SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?

We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Staff Forward Deployed Engineer, AI, you will be tasked with extending SentinelOne’s engineering capacity directly into the departments that need it most, including Sales, Customer Success, Finance, Security, People, Legal, and beyond. Unlike a platform or product engineer working behind a backlog, you will embed with the stakeholders who own a problem, scope it end to end, and ship a working custom application into their hands, often in days or weeks, not quarters. This role blends hands-on full-stack engineering, rapid prototyping with modern AI tools, and the judgment to know when to build, when to reuse, and when to say no.

What Will You Do?

Primary responsibilities include:

• Embed with a functional department for a defined engagement, running discovery to understand workflows and pain points before writing a line of code.
• Scope, design, and build full-stack custom applications (not just automations or scripts) using modern frameworks, AI coding assistants, and internal platform APIs, moving from prototype to production quickly.
• Own delivery end to end including architecture, build, testing, deployment, and the training and handoff that gets a department to actually adopt what you built.
• Work hands-on in the code alongside AI coding tools (Claude Code, Codex, etc.) to compress build cycles, iterating with stakeholders in near real time rather than through long requirements documents.
• Make explicit trade-offs between scope, speed, and quality as requirements shift, and communicate those trade-offs clearly to stakeholders and leadership.
• Partner with IT, Security, and Data teams so every deployed application meets SentinelOne’s standards for data security, compliance, and long-term supportability.
• Codify recurring patterns, components, and playbooks from each engagement into reusable building blocks for the next department and for the broader engineering organization.
• Feed field learnings back to platform, product, and data teams covering what worked, what broke, and what the next generation of internal tools should look like.
• Measure and report success through production adoption and measurable business impact, not lines of code shipped or tickets closed.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 5 or more years of professional software engineering experience with a demonstrated ability to design, build, and ship full-stack applications (frontend and backend) independently.
• Proficiency in at least one modern backend language (Python, Node.js/JavaScript, or comparable) and enough frontend ability to build usable internal tools without waiting on a dedicated design or frontend team.
• Hands-on experience using AI coding assistants and LLM-based tools (Claude Code, Cursor, Codex, etc.) to accelerate development, plus a working understanding of APIs, webhooks, data structures, and integration patterns.
• A track record of working directly with non-technical stakeholders including scoping ambiguous requests, managing expectations, and shipping something real rather than a deck.
• Comfort operating with significant autonomy and shifting priorities across departments and problem spaces where the right solution is rarely handed to you.
• Strong communication skills with the ability to explain technical trade-offs to a functional VP as easily as to a fellow engineer.
• Prior experience in a forward-deployed, solutions engineering, professional services, or startup generalist role where you owned a project from discovery through production is preferred.
• Exposure to enterprise security, compliance, or data governance requirements given the internal, security-conscious environment you will be building in is preferred.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

Equity & Rewards

• Restricted Stock Units (RSUs)
• Employee Stock Purchase Plan (ESPP)

Time Off & Wellbeing

• Flexible time off
• Paid company holidays and paid sick time
• Gender-neutral parental leave
• Grandparent leave

Insurance & Financial Security

• Medical, dental, and vision coverage
• 401(k) retirement plan with company match
• Life and disability insurance
• Health and dependent care FSA
• Voluntary benefits (hospital, accident, critical illness)
• Employee Assistance Program (EAP)
• ARAG pre-paid legal
• Nationwide pet insurance
• Cancer Care program
• Global business travel medical insurance

Work Perks & Flexibility

• Home office allowance
• Mobile phone reimbursement

Wellness & Lifestyle

• Wellness coach
• Wellness/gym reimbursement
• Fertility coverage
• Adoption & surrogacy reimbursement

This U.S. role has a base pay range that will vary based on the location of the candidate. For some locations, a different pay range may apply.  If so, this range will be provided to you during the recruiting process. You can also reach out to the recruiter with any questions.

Base Salary Range

$156,000—$215,000 USD

SentinelOne is proud to be an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.

SentinelOne participates in the E-Verify Program for all U.S. based roles.

Headquarters: United States
URL: http://te.com

Job Posting Title: AI Business Acceleration Manager (Remote - Harrisburg, PA area)  
Job ID: 152378 
Job Code: 30005338    
Business Unit: [[businessUnit]]  
Building: TYCO ELECTRONICS 3101 FMR (128)  
Band/Level: 4  
Hiring Manager: Payal Jain 
Recruiter: Pete Roosendaal
Relocation: No  
Travel: Less than 10%  
Employee Referral Amount: $1,500.00  
Education Experience: Bachelors Degree (High School +4 years)  
Employment Experience: 5-7 years  

At TE, you will unleash your potential working with people from diverse backgrounds and industries to create a safer, sustainable and more connected world. 

​
 

Job Overview

The AI Business Acceleration Manager is a hands-on AI product and enablement leader responsible for identifying and delivering high-impact AI and automation initiatives across the ACL sector.
This role focuses on identifying and documenting AI use cases, developing POCs, and collaborating with the Enterprise AI Governance Council to scale practical AI solutions that improve overall operational efficiency and commercial performance. Working closely with various BU leaders and stakeholders across manufacturing, supply chain, marketing, sales, customer care, and data teams, this individual translates business needs into AI-enabled solutions, focusing on driving measurable results through disciplined execution.

 

***The ideal candidate will reside within a 3-hour drive of the Harrisburg, PA metro area***

 

Key Responsibilities

 

AI Use Case Identification & Delivery
•    Identify, validate, and prioritize high-value AI and automation opportunities aligned with ACL sector priorities across CLS, IND, and PTS.
•    Translate business challenges into actionable AI and automation initiatives, partnering with data, tech teams, and process owners, as needed, to define solutions.
•    Ensure solutions are scalable, practical, and embedded into existing workflows.
•    Build business cases and define measurable ROI and success criteria for initiatives.
•    Establish a demand management framework to identify and prioritize AI and advanced analytics initiatives. 

 

AI Enablement & Adoption
•    Promote responsible and effective use of AI tools such as TELme, Copilot, and ChatGPT Enterprise.
•    Lead AI Trailblazer team meetings by demonstrating practical use cases that improve day-to-day productivity and decision-making and establish AI champions across various functions.
•    Support AI literacy efforts across ACL sector BUs.
•    Track adoption and gather feedback to improve ongoing engagement and AI usage.
•    Build and sustain an AI community of practice within the ACL sector to share lessons learned, tools, and best practices.

 

Cross-Functional Execution
•    Partner with functional leaders to prioritize use cases based on value and feasibility.
•    Coordinate with data, analytics, tech, and process teams to implement AI solutions.
•    Remove blockers and drive progress through structured project management.
•    Ensure alignment with enterprise platforms (Salesforce, SAP, Databricks, etc.).
•    Lead end-to-end delivery of approved AI use cases from concept through pilot and scale.

 

Data Readiness to enable AI use cases
•    Partner closely with the AI Governance Council to ensure priority use cases across ACL BU’s are presented for solutioning.
•    Partner closely with Data & Analytics teams to ensure priority AI use cases have the data access and quality needed for execution.
•    Act as the business bridge, translating AI requirements into clear data needs while ensuring compliance with existing governance and security standards.
•    Identify data gaps impacting AI use case execution.
•    Support creation of curated datasets required for specific AI initiatives.

 

Performance Measurement
•    Define and track KPIs for AI initiatives (revenue impact, productivity gains, cycle time reduction).
•    Monitor pilot performance and recommend scaling decisions.
•    Document lessons learned and identify reusable assets.
•    Stay current on emerging AI tools and technologies.

What your background should look like:

Qualifications:
•    Bachelor’s degree in Computer Science, Engineering, Data Science, or related field; advanced degree (MBA, MS, or equivalent) preferred.
•    6–8 years of experience in digital product management, business transformation, AI enablement, or automation.
•    Experience delivering AI, analytics, or workflow automation solutions in a matrixed organization.
•    Working knowledge of LLMs, prompt engineering, workflow automation tools, or Python scripting.
•    Strong understanding of enterprise data environments (Salesforce, SAP, Snowflake, Databricks, etc.).
•    Demonstrated ability to translate business challenges into practical digital solutions.
•    Strong communication and influence skills; able to inspire adoption and align senior stakeholders.

 

Success Metrics:
•    Successful delivery of prioritized AI use cases within agreed timelines.
•    Measurable business value generated (efficiency, revenue enablement, cost reduction).
•    Adoption rate of deployed AI tools within supported functions.
•    Reusability of developed AI assets across teams.
•    Increased AI literacy within supported business units.
•    Demonstrated an AI-first mindset and proactive experimentation within ACL BU’s.

 

Join our team and play a pivotal role in transforming how TE Connectivity’s ACL Sector leverages AI and automation to drive growth, efficiency, and customer impact. If you’re passionate about building innovative AI solutions, raising the bar on digital capability, and shaping the future of how our teams work, we’d love to hear from you!

Competencies

Values: Integrity, Accountability, Inclusion, Innovation, TeamworkSET : Strategy, Execution, Talent (for managers)

COMPENSATION
•    Competitive base salary commensurate with experience: $161,200 - $241,800 (subject to change dependent on physical location)
•    Posted salary ranges are made in good faith. TE Connectivity reserves the right to adjust ranges depending on the experience/qualification of the selected candidate as well as internal and external equity.
•    Total Compensation = Base Salary + Incentive(s) + Benefits
BENEFITS
•    A comprehensive benefits package including health insurance, 401(k), disability, life insurance, employee stock purchase plan, paid time off and voluntary benefits.

EOE, Including Disability/Vets

 

IMPORTANT NOTICE REGARDING RECRUITMENT FRAUD
TE Connectivity has become aware of fraudulent recruitment activities being conducted by individuals or organizations falsely claiming to represent TE Connectivity. Please be advised that TE Connectivity never requests payment or fees from job applicants at any stage of the recruitment process. All legitimate job openings are posted exclusively on our official careers website at te.com/careers, and all email communications from our recruitment team will come only from actual email addresses ending in @te.com. If you receive any suspicious communications, we strongly advise you not to engage or provide any personal information, and to report the incident to your local authorities.

To apply: https://weworkremotely.com/remote-jobs/te-connectivity-ai-business-acceleration-manager-remote-harrisburg-pa-area

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa’s solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa’s platform to customers’ existing technology stacks, and guide customers and partners in maximising the value of Parloa’s AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively.
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
• Build and configure integrations between customers’ systems and Parloa’s Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer.
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions.
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale
• Excellent written and spoken English skills are required.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN’s across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The Senior Manager, Applied AI Engineering is a senior individual contributor role with broad ownership across Ceribell’s internal AI engineering portfolio. This person will carry projects from initial problem definition through production deployment, operating effectively under conditions of ambiguity and incomplete specification. The technical bar is high — this is first and foremost an engineering role — but the ability to engage at the business layer and translate between technical and commercial realities is equally non-negotiable.

This role reports directly to the Director of Strategic Programs and Applied AI and works in close, ongoing collaboration with Engineering leadership. The successful candidate will direct external engineering contractors, partner cross-functionally with stakeholders across commercial, clinical, finance, and operations, and take on expanding ownership of the AI project portfolio as the function scales.

What you’ll do:

• Assume end-to-end ownership of AI engineering projects across the portfolio — from requirements definition through architecture, development oversight, and production deployment
• Design GCP infrastructure across all environments, in partnership with engineering: Cloud Run, IAM, VPC network isolation, CI/CD pipelines, secrets management, observability, and security controls
• Translate business requirements into technically precise specifications — and proactively challenge scope or approach when a stronger path exists
• Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, super-user community development, and AI governance scaffolding
• Develop PRDs, architecture documents, and project scopes that enable contractors and engineering partners to execute independently
• Forecast build timelines and resource requirements across a portfolio of concurrent initiatives
• Direct and quality-review the output of external engineering contractors
• Identify and advance system-level improvements proactively — with a recommendation and a plan, not merely an observation
• Build documentation and operational foundations designed to scale beyond any individual project

What We’re Looking For:

Required

• 8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management
• Active, daily use of LLM-based AI tools (Claude, Gemini, or equivalent) as a core part of your professional workflow — not familiarity, fluency
• Demonstrated ability to architect and own GCP infrastructure end-to-end, without external direction
• Proven capacity to move from an ambiguous problem statement to a structured technical plan independently
• Strong ability to engage cross-functional business stakeholders, identify the root of what they actually need, and translate that into technically sound specifications
• Experience writing PRDs, architecture documents, and detailed project scopes
• Bachelor’s degree required; Master’s degree strongly preferred

Preferred

• Familiarity with mobile development constraints and cross-platform frameworks
• Experience with Salesforce integrations or CRM-adjacent technical work
• Experience directing or managing external engineering contractors or vendors
• Background in MedTech, health IT, or a regulated industry

What Sets the Best Candidates Apart

• You leave every system, document, and process better than you found it — consistently, without being asked
• You bring fully-formed ideas and recommendations, not status updates awaiting direction
• You think in systems and design for scale, not just for the immediate ask
• You are genuinely invested in arriving at the best answer, and will push back — respectfully and constructively — when you believe a better one exists
• You are energized by fast-moving, resource-constrained environments where ownership is total and the problems are genuinely novel

Compensation Range

$177,000—$226,000 USD

A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

• Performance-based incentive compensation (varies by role)
• Equity opportunities
• 100% Employer paid Health Benefits for Employees
• 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
• 100% paid Life and Long-Term Disability Insurance
• 401(k) with a generous company match
• Employee Stock Purchase Plan (ESPP) with a discount
• Monthly cell phone stipend
• Flexible paid time off
• 13 Paid Holidays + 3 Company Wellness Days
• Excellent parental leave policy
• Fantastic culture with tremendous career advancement opportunities
• Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs’ names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN’s across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The Senior Manager, Applied AI Engineering is a senior individual contributor role with broad ownership across Ceribell’s internal AI engineering portfolio. This person will carry projects from initial problem definition through production deployment, operating effectively under conditions of ambiguity and incomplete specification. The technical bar is high — this is first and foremost an engineering role — but the ability to engage at the business layer and translate between technical and commercial realities is equally non-negotiable.

This role reports directly to the Director of Strategic Programs and Applied AI and works in close, ongoing collaboration with Engineering leadership. The successful candidate will direct external engineering contractors, partner cross-functionally with stakeholders across commercial, clinical, finance, and operations, and take on expanding ownership of the AI project portfolio as the function scales.

What you’ll do:

• Assume end-to-end ownership of AI engineering projects across the portfolio — from requirements definition through architecture, development oversight, and production deployment
• Design GCP infrastructure across all environments, in partnership with engineering: Cloud Run, IAM, VPC network isolation, CI/CD pipelines, secrets management, observability, and security controls
• Translate business requirements into technically precise specifications — and proactively challenge scope or approach when a stronger path exists
• Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, super-user community development, and AI governance scaffolding
• Develop PRDs, architecture documents, and project scopes that enable contractors and engineering partners to execute independently
• Forecast build timelines and resource requirements across a portfolio of concurrent initiatives
• Direct and quality-review the output of external engineering contractors
• Identify and advance system-level improvements proactively — with a recommendation and a plan, not merely an observation
• Build documentation and operational foundations designed to scale beyond any individual project

What We’re Looking For:

Required

• 8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management
• Active, daily use of LLM-based AI tools (Claude, Gemini, or equivalent) as a core part of your professional workflow — not familiarity, fluency
• Demonstrated ability to architect and own GCP infrastructure end-to-end, without external direction
• Proven capacity to move from an ambiguous problem statement to a structured technical plan independently
• Strong ability to engage cross-functional business stakeholders, identify the root of what they actually need, and translate that into technically sound specifications
• Experience writing PRDs, architecture documents, and detailed project scopes
• Bachelor’s degree required; Master’s degree strongly preferred

Preferred

• Familiarity with mobile development constraints and cross-platform frameworks
• Experience with Salesforce integrations or CRM-adjacent technical work
• Experience directing or managing external engineering contractors or vendors
• Background in MedTech, health IT, or a regulated industry

What Sets the Best Candidates Apart

• You leave every system, document, and process better than you found it — consistently, without being asked
• You bring fully-formed ideas and recommendations, not status updates awaiting direction
• You think in systems and design for scale, not just for the immediate ask
• You are genuinely invested in arriving at the best answer, and will push back — respectfully and constructively — when you believe a better one exists
• You are energized by fast-moving, resource-constrained environments where ownership is total and the problems are genuinely novel

Compensation Range

$177,000—$226,000 USD

A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

• Performance-based incentive compensation (varies by role)
• Equity opportunities
• 100% Employer paid Health Benefits for Employees
• 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
• 100% paid Life and Long-Term Disability Insurance
• 401(k) with a generous company match
• Employee Stock Purchase Plan (ESPP) with a discount
• Monthly cell phone stipend
• Flexible paid time off
• 13 Paid Holidays + 3 Company Wellness Days
• Excellent parental leave policy
• Fantastic culture with tremendous career advancement opportunities
• Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs’ names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

About Parloa

Parloa’s mission is to make every customer conversation feel effortless for both customers and the companies serving them. As agentic AI accelerates, Parloans are shaping the foundation of a new era in customer experience - one where customer support is no longer transactions, but meaningful exchanges. It is not just a vision; Parloa has powered over ONE BILLION interactions between global enterprise brands and their customers, with companies like Booking.com, HealthEquity, Allianz, SAP, BarmeniaGothaer, and TUI already deploying Parloa at scale.

About the role:

As a Senior Agent Architect at Parloa, you will play a key role in transforming customer service with AI Agents. In this customer-facing role, you will support the implementation of Parloa’s solutions, enhancing customer experiences for clients and partners.

Using your expertise in Large Language Models (LLMs), Prompt Engineering, NLP & NLU conversational design, and integration platforms, you will craft effective AI workflows and build connections to enterprise systems and ensure quality, performance, and end-to-end operational readiness. You will design, prototype, and validate conversational solutions for AI agent deployments, including the integration layer that connects Parloa’s platform to customers’ existing technology stacks, and guide customers and partners in maximising the value of Parloa’s AI solutions.

Areas of ownership:

• Scope and implement AI Agent deployments, providing strategic advice and execution support to customers and partners.
• Leverage your knowledge of LLM internals (e.g., embeddings) to analyze customer requirements and design precise prompts for reliable, user-aligned behavior.
• Simplify complex workflows and processes into digestible conversational components, enabling LLMs to handle challenging tasks effectively.
• Fine-tune conversational flows and voice output (e.g., SSML, Lexicons, Regex) to align with customer brand standards.
• Build and configure integrations between customers’ systems and Parloa’s Platform, connecting external tools (e.g., CRMs, ERPs, ticketing systems, contact center platforms) via integration platforms and APIs to deliver end-to-end enterprise solutions.
• Collaborate with Forward Deployed Engineers on complex or custom integration scenarios that go beyond standard integration capabilities.
• Identify and solve blockers together with other departments at Parloa (e.g. Product, Agent Integration Engineering, or Sales) and the customer.
• Apply structured testing approaches to validate AI agent behaviour, quality, and performance under real-world conditions.
• Document best practices, how-to guides, and product capabilities for internal and external audiences, representing the expertise of the Agent Architect team.

Who you are:

• 3+ years of experience in enterprise customer-facing roles, with proven expertise in conversation design and AI agent development to create engaging and intuitive conversational experiences
• Ability to analyze customer requirements and craft LLM prompts that align with desired outcomes
• Entrepreneurial mindset with initiative, results orientation, and ability to identify opportunities for impact
• Proficiency with advanced prompting strategies such as chain-of-thought prompting, few-shot learning
• Strong project and stakeholder management skills, with passion for meeting milestones and effective communication
• Analytical and critical thinker with expertise in risk assessment, problem-solving, and strategy, plus solid knowledge of data structures, system integrations, and enterprise APIs
• Familiarity with API authentication patterns (OAuth, API keys, JWT), data transformation and field mapping logic
• Proficiency in REST API design, JSON/XML data structures, and API testing tools (Postman, etc.)
• Experience reading and consuming API documentation across enterprise SaaS platforms (CRMs, ERPs, contact center platforms)
• Exceptional attention to detail and logical thinking, with a proven ability to identify and address subtle nuances in conversational flows, ensuring a seamless and engaging user experience
• Familiarity with A/B testing methods to ensure AI agent performance at scale
• Excellent written and spoken English skills are required.

Our Recruiting Process:

Talent Acquisition → Hiring Manager → Technical Interview(s) → Bar Raiser

Parloa is committed to upholding the highest data protection standards for our clients’ and employees’ data. All our employees are instrumental in ensuring the utmost care, GDPR, and ISO compliance, including ISO 27001, in handling sensitive information.

Parloa is an e-verify employer in the USA. Please click here to learn more.

\* We provide equal opportunities to all qualified applicants regardless race, gender, sexual orientation, age, religion, national origin, disability status, socioeconomic background and other characteristics.

About Ceribell

Ceribell is a medical technology company focused on transforming the diagnosis and management of patients with serious neurological conditions. The Ceribell System is a novel, point-of-care electroencephalography (“EEG”) platform specifically designed to address the unmet needs of patients in the acute care setting, and is being used in hundreds of community hospitals, large academic facilities and major IDN’s across the country. Our entire team is driven by a shared commitment to transforming the landscape of critical care through our rapid seizure detection technology, come join the movement!

Position Overview:

The Senior Manager, Applied AI Engineering is a senior individual contributor role with broad ownership across Ceribell’s internal AI engineering portfolio. This person will carry projects from initial problem definition through production deployment, operating effectively under conditions of ambiguity and incomplete specification. The technical bar is high — this is first and foremost an engineering role — but the ability to engage at the business layer and translate between technical and commercial realities is equally non-negotiable.

This role reports directly to the Director of Strategic Programs and Applied AI and works in close, ongoing collaboration with Engineering leadership. The successful candidate will direct external engineering contractors, partner cross-functionally with stakeholders across commercial, clinical, finance, and operations, and take on expanding ownership of the AI project portfolio as the function scales.

What you’ll do:

• Assume end-to-end ownership of AI engineering projects across the portfolio — from requirements definition through architecture, development oversight, and production deployment
• Design GCP infrastructure across all environments, in partnership with engineering: Cloud Run, IAM, VPC network isolation, CI/CD pipelines, secrets management, observability, and security controls
• Translate business requirements into technically precise specifications — and proactively challenge scope or approach when a stronger path exists
• Lead company-wide AI infrastructure rollout and upskilling initiatives, including training programs, office hours, super-user community development, and AI governance scaffolding
• Develop PRDs, architecture documents, and project scopes that enable contractors and engineering partners to execute independently
• Forecast build timelines and resource requirements across a portfolio of concurrent initiatives
• Direct and quality-review the output of external engineering contractors
• Identify and advance system-level improvements proactively — with a recommendation and a plan, not merely an observation
• Build documentation and operational foundations designed to scale beyond any individual project

What We’re Looking For:

Required

• 8+ years of experience spanning software engineering, cloud infrastructure, and technical program or product management
• Active, daily use of LLM-based AI tools (Claude, Gemini, or equivalent) as a core part of your professional workflow — not familiarity, fluency
• Demonstrated ability to architect and own GCP infrastructure end-to-end, without external direction
• Proven capacity to move from an ambiguous problem statement to a structured technical plan independently
• Strong ability to engage cross-functional business stakeholders, identify the root of what they actually need, and translate that into technically sound specifications
• Experience writing PRDs, architecture documents, and detailed project scopes
• Bachelor’s degree required; Master’s degree strongly preferred

Preferred

• Familiarity with mobile development constraints and cross-platform frameworks
• Experience with Salesforce integrations or CRM-adjacent technical work
• Experience directing or managing external engineering contractors or vendors
• Background in MedTech, health IT, or a regulated industry

What Sets the Best Candidates Apart

• You leave every system, document, and process better than you found it — consistently, without being asked
• You bring fully-formed ideas and recommendations, not status updates awaiting direction
• You think in systems and design for scale, not just for the immediate ask
• You are genuinely invested in arriving at the best answer, and will push back — respectfully and constructively — when you believe a better one exists
• You are energized by fast-moving, resource-constrained environments where ownership is total and the problems are genuinely novel

Compensation Range

$177,000—$226,000 USD

A candidate’s final salary offer will be based on their skills, education, work location and experience, and thus it may differ from the posted range. Compensation may also include bonuses consistent with Ceribell’s corporate compensation plan. Note, the above description is not all-encompassing and Ceribell reserves the right to change or modify job duties and assignments at any time.

In addition to your base compensation, Ceribell offers eligible employees the following:

• Performance-based incentive compensation (varies by role)
• Equity opportunities
• 100% Employer paid Health Benefits for Employees
• 50% - 70% Employer paid Health, Dental & Vision for dependents (depending on plan selection)
• 100% paid Life and Long-Term Disability Insurance
• 401(k) with a generous company match
• Employee Stock Purchase Plan (ESPP) with a discount
• Monthly cell phone stipend
• Flexible paid time off
• 13 Paid Holidays + 3 Company Wellness Days
• Excellent parental leave policy
• Fantastic culture with tremendous career advancement opportunities
• Joining a mission-minded organization!

Application Deadline: Ongoing

Other Job Details Ceribell reports transfers of value to health care providers (HCPs) as required by federal and state transparency laws. These laws and implementing regulations require Ceribell to provide government agencies with HCPs’ names, addresses and the type of payments or other value received, generally for public disclosure. If you are an HCP and we pay or reimburse your recruiting expenses as a result of interviewing with Ceribell, your name, address and the amount of payments made may be reported to the government.

Equal Opportunity Employer Ceribell is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex (including pregnancy, childbirth and related medical conditions), sexual orientation, gender identity or expression, national origin, age, marital status, disability, veteran status or any other characteristic protected by law. Ceribell complies with all applicable national, state and local laws governing nondiscrimination in employment as well as work authorization and employment eligibility verification requirements of the Immigration and Nationality Act and IRCA. Ceribell is an E-Verify employer. Any applicant with a disability who requires an accommodation during the application process should contact talent@ceribell.com to request reasonable accommodation.

Privacy Statement For information on how Ceribell processes personal data of job applicants, please review our Privacy Policy.

Compliance Disclaimer If you believe this job posting is non-compliant, please submit a report to legal@ceribell.com. Please note that we will not respond to inquiries unrelated to job posting compliance.

NeoWork is seeking an AI Content Production Moderator to join our creative services team. This role will be responsible for creating AI-generated content, performing quality assurance on outputs, and supporting high-volume creative production initiatives for enterprise brand clients.

The ideal candidate has a strong creative background, excellent attention to detail, and the ability to thrive in a fast-paced, high-volume production environment.

Key Responsibilities

• Create and manage AI-generated content across various creative projects and campaigns.
• Perform quality assurance reviews to ensure content accuracy, consistency, and adherence to brand guidelines.
• Edit and produce video content to support client deliverables and live stream initiatives.
• Support large-scale content production efforts for enterprise clients, ensuring timely delivery and high-quality outputs.
• Monitor and moderate AI-generated assets, identifying and resolving content issues as needed.
• Collaborate with cross-functional teams to optimize creative workflows and production processes.
• Quickly learn and utilize proprietary platforms, tools, and emerging AI technologies.
• Maintain high standards of creativity, quality, and operational efficiency in all deliverables.

Qualifications

• Experience in AI-generated content creation and quality assurance workflows.
• Strong video editing and creative production skills.
• Excellent attention to detail and a strong eye for content quality and brand consistency.
• Technical aptitude with the ability to quickly learn new platforms, tools, and systems.
• Ability to manage multiple projects and work effectively in a high-volume, fast-turnaround environment.
• Strong communication and collaboration skills.
• Previous experience supporting digital content, creative services, or media production teams is highly preferred.

Preferred Qualifications

• Experience working with enterprise clients or large-scale content production environments.

• Familiarity with live stream operations and digital content moderation.

• Knowledge of AI content generation tools and emerging creative technologies.

• Minimum 2 years of experience in multimedia production, photo/video editing, or similar roles.

• Strong visual and spatial awareness — ability to assess layouts, proportions, and presentation quality in 3D/Matterport environments.

• Proficiency in Adobe Creative Suite, particularly Photoshop, Lightroom, or Premiere.

• Detail-oriented and proactive, with strong organizational and quality assurance skills.

• Comfortable working with digital tools and adaptable to learning new technologies or platforms quickly.

• Competitive compensation package

• Fully remote work arrangement

• HMO coverage for employee health and wellness

• Gym stipend allowance to support fitness and well-being

• Career growth and professional development opportunities

• Supportive and collaborative work culture

About NeoWork

NeoWork connects talented professionals with global clients, providing high-quality staffing solutions across creative, technical, and administrative roles. We focus on matching the right talent with the right opportunities to help teams grow and succeed.

Description

This is an Atlantic portfolio venture.

About the Venture

We are building a new path to fusion energy. Every major leap in human civilisation has followed a breakthrough in energy, from fire to steam to electricity, and we believe fusion is the next one. Our bet is that it will not come from building bigger machines. It will come from controlling matter with enough precision that fusion becomes a manufacturable technology, atoms aligned exactly enough that fusion happens under controlled conditions, on a chip. This is a semiconductor-scale path to clean power, and our stance is precision over brute force. We start in physics and simulation, then build the physical proof.

About the Role

Reaching a chip-scale approach means working through physics and simulation at a depth that is hard to reach by conventional means, and to do that we need a new class of scientific intelligence. You will work directly with the founders to design that system from the ground up: an AI-driven research platform that can read papers, connect ideas across disciplines, orchestrate simulations, evaluate hypotheses and learn from results. This is not a chatbot or prompt engineering role, and we are not building a foundation model or competing with OpenAI, Anthropic or Google. We believe these systems will need richer representations than today’s token-prediction models, so you will help explore new architectures for scientific reasoning, memory, hypothesis generation and autonomous discovery. The better that system works, the faster we get to the physical proof.

What you’ll do

• Design multi-agent research systems and the orchestration that ties them together

• Build long-term memory architectures for scientific reasoning

• Create paper ingestion and knowledge extraction pipelines

• Develop scientific reasoning workflows and connect AI agents to simulation environments

• Build autonomous experiment and evaluation loops

• Design retrieval, planning and orchestration systems

• Integrate state-of-the-art LLMs and open-source models

• Develop scalable infrastructure for continuous learning

• Explore next-generation AI architectures for scientific discovery

About You

We care far more about what you have built than about formal credentials. You will thrive here if you enjoy solving problems nobody has solved before, learn quickly and independently, and are comfortable with uncertainty. This role suits someone who wants to help create a new category of scientific intelligence rather than optimise an existing product.

• You have already built real agent systems, with strong experience across several of: multi-agent architectures, tool use and function calling, agent orchestration, planning systems, long-term memory, knowledge graphs, autonomous research workflows, RAG architectures and evaluation frameworks

• You write production-quality software with strong Python skills, and you are comfortable with API design and integration

• You know your way around cloud infrastructure, Docker and containerisation, and databases including vector databases

• You are comfortable with the mathematical ideas this work draws on, such as linear algebra, optimisation, probability, graph theory and dynamical systems

• You do not need to be a theoretical physicist, but you should enjoy working on highly technical scientific problems

Nice to have:

• Physics simulations, scientific computing or computational physics

• HPC environments

• Reinforcement learning

• AI for Science

• Quantum computing

• Scientific publishing workflows

• Open-source AI frameworks

Why Join

• Our goal is bigger than software. The systems you build will be used to accelerate research in fusion energy, scientific discovery, advanced simulation, AI for physics and quantum technologies. Success here is measured in real scientific progress.

• Work with an exceptional founding team with scientific and commercial track records across places like LMU, Apple, Amazon, Eurazeo, Sprin-D and McKinsey. Around them is a small group of physicists, simulation experts and AI specialists who value curiosity, independent thinking and the courage to challenge assumptions.

• We are remote-first, so you can work from Munich, Berlin, London, Lisbon or wherever you do your best work. We keep bureaucracy to a minimum so talented people can move fast and follow promising ideas.

• This is a chance to help build something before it becomes obvious, and to help solve one of humanity’s hardest problems.

Who we are

About Stripe

Stripe is a financial infrastructure platform for businesses. Millions of companies — from the world’s largest enterprises to the most ambitious startups — use Stripe to accept payments, grow their revenue, and accelerate new business opportunities. Our mission is to increase the GDP of the internet, and we have a staggering amount of work ahead. That means you have an unprecedented opportunity to put the global economy within everyone’s reach while doing the most important work of your career.

About the team

The Stripe Marketing organization is undergoing a fundamental transformation in how it works. We’re building a team of Forward Deployed AI Accelerators (FDAs) embedded directly with marketing cohorts to make AI the default mode for all work — not an occasional tool, but the foundation of how every marketer at Stripe executes.

Today, marketers are already achieving remarkable results — building their own data dashboards, creating agents that compress multi-day processes, and authoring tools that accelerate workflows. The FDA team exists to take what’s working and systematically scale it across the entire marketing organization.

What you’ll do

As a Forward Deployed AI Accelerator, you’ll be embedded with a group of approximately 20 marketers organized by functional team, shared workflow, or location. You’ll build alongside them, and you’ll help them fundamentally change how they operate. Your measure of success is the number of workflows you’ve permanently transformed and the extent to which those in your group start any task with an AI tool.

Responsibilities

• Identify and document the highest-leverage workflow transformations within your group’s day-to-day work by deeply understanding their processes and outputs • Build custom tools, agents, automations, and skills tailored to each marketer’s specific responsibilities
• Coach and partner with each marketer through a progressive journey — from awareness, to first win, to regular AI integration, to full workflow transformation, to self-sufficiency • Teach marketers to build and iterate on their own tools over time, creating independence
• Recognize patterns across your cohort and systematically scale what works — a tool built for one marketer will be reusable for their peers
• Document every tool, playbook, and transformation pattern you build so the entire FDA team uses each other’s work
• Share wins visibly within your cohort and with leadership to build momentum, inspire, and celebrate success
• Track individual and cohort progress rigorously against a defined maturity model, moving every marketer toward self-sustaining, AI-first work
• Prepare marketers for an agentic future — not just prompt writing, but designing, building, and overseeing autonomous, multi-agent workflows

Who you are

We’re looking for people who have already lived the transformation they’ll be driving for others. You’ve used AI to fundamentally change how you work — not as a novelty, but as your default operating mode.

• You are a deep AI practitioner. You build agents, automations, and tools fluently. You don’t just know what AI can do in theory — you’ve built things that changed how real work gets done. You build in real time alongside the people you support.
• You are an outstanding coach and communicator. You meet people wherever they are. You create desire for progress, and you adapt your approach to each person.
• You understand marketing work. You either have direct experience in marketing or quickly learn the workflows, deliverables, tools, and pressures of your assigned group. You know that understanding someone’s work is a prerequisite to transforming it.
• You are a pattern recognizer. When you build something that works for one person, you immediately see how it applies to others. You think in systems, not one-off solutions.
• You are high-caliber, persistent, and versatile. Your skills and experience are valuable across the company. You’re the kind of person who succeeds in many roles at Stripe.
• You bias toward action and speed. You’d rather show someone a working proof-of-concept on their own deliverable today than present a polished deck about what’s theoretically possible next quarter.
• You are comfortable with ambiguity and evolution. This is a new team building a new operating model. The playbook will be rewritten as we learn. You thrive in that environment.

Minimum requirements

• 5+ years of professional experience in a role requiring diagnostic thinking, problem-solving, and cross-functional collaboration
• Demonstrated, hands-on experience building AI-powered tools, agents, automations, or workflows that transformed real work processes (not just using AI as a chatbot — building with it)
• Track record of coaching, teaching, or enabling others — formally or informally — with evidence that people you’ve helped actually changed how they work
• Strong written and verbal communication skills, with the ability to explain technical concepts to non-technical audiences and adapt your style to different learners
• Comfort working across multiple workstreams and relationships simultaneously (you’ll be supporting approximately 20 marketers at varying stages of their AI journey)

Preferred qualifications

• Experience in marketing, marketing operations, growth, or a closely adjacent function
• Proficiency with AI development tools and platforms (e.g., Claude, Claude Code, Codex, custom agent frameworks, API integrations, workflow automation tools)
• Experience with change management, organizational transformation, or large-scale enablement programs
• Familiarity with marketing technology stacks (e.g., Marketo, Salesforce, analytics platforms, content management tools)
• Experience building and scaling internal tools, templates, or playbooks that were adopted beyond your immediate team
• Background in consulting, solutions engineering, technical account management, or other client-facing technical roles

Hi there :)

Thanks for checking in to find out about our open position. We´ll provide as much information as possible, but please feel free to reach us if you have further questions. We´ll be happy to see your application, even if there are skills you don’t quite master!

About South Geeks

South Geeks connects elite, AI-fluent engineers from Latin America with future-shaping companies in Health and Wealth. We’re hiring an RPA Developer to join one of our clients, a biotechnology company advancing immune-driven medicine through precision diagnostics and research.

About the Role

Our client is expanding its use of UiPath to automate core business processes. We’re looking for RPA Developers to design, build, and support automation workflows that free their teams to focus on higher-value work. This is a remote, long-term engagement with a company solving real problems in immune-driven medicine.

What You’ll Do

• Analyze business processes and identify automation opportunities

• Design and develop UiPath workflows, bots, and automation components

• Collaborate with business stakeholders to gather requirements and define automation scope

• Create Process Design Documents (PDD) and Solution Design Documents (SDD)

• Configure UiPath Orchestrator for bot scheduling, monitoring, and management

• Build reusable automation components and follow best practices

• Perform unit and integration testing, and support UAT activities

• Troubleshoot and resolve bot failures and production issues

• Monitor bot performance and drive continuous improvement

• Maintain technical documentation and knowledge repositories

• Ensure compliance with security, audit, and governance standards

• Support production deployments and hypercare activities

What You Bring

• 4+ years of UiPath development experience

• Strong knowledge of UiPath Studio, Orchestrator, and REFramework

• Experience with APIs, Excel automation, PDF processing, email automation, and web applications

• Knowledge of SQL and database integration

• Understanding of software development lifecycle and Agile methodologies

• Strong communication skills and comfort working directly with clients

Nice to Have

• Prior experience in biotech, healthtech, or another regulated industry

Why South Geeks

• Competitive rates, paid in USD

• Full-time, long-term engagement

• Continuous training and development

• Performance coaching to support your career growth

• Paid time off

• Ongoing English classes

• International, state-of-the-art projects

• 100% remote

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

Company Description

About AbbVie

AbbVie’s mission is to discover and deliver innovative medicines and solutions that solve serious health issues today and address the medical challenges of tomorrow. We strive to have a remarkable impact on people’s lives across several key therapeutic areas including immunology, oncology and neuroscience - and products and services in our Allergan Aesthetics portfolio. For more information about AbbVie, please visit us at www.abbvie.com. Follow @abbvie on LinkedIn, Facebook, Instagram, X and YouTube.

Job Description

The Modeling and Simulation Module Developer will build, deploy, and maintain M&S and AI solutions that automate and augment capabilities within Data & Statistical Sciences (DSS) to support development decision-making. This role sits within the Data and AI Acceleration (DAIA) team and supports the broader DSS organization. Develop solutions for prioritized use cases and build tools that close adoption gaps and meet end-user needs. Identify the right tool for the right problem — varying from R packages, dashboards, to agentic AI frameworks.

Responsibilities

• Develop and maintain solutions for prioritized M&S and AI use cases, from R packages and dashboards to agentic AI frameworks
• Build tools and solutions that address adoption gaps, ensuring delivered capabilities meet end-user needs
• Conduct upfront feasibility assessments and architect solution design — documenting design rationale for when to use deterministic approaches (e.g., R packages), interactive dashboards, or LLM-powered agentic workflows
• Create and maintain comprehensive benchmark test sets to ensure output quality, accuracy, and reproducibility
• Maintain and iterate on deployed tools based on user feedback, bug reports, and evolving requirements
• Translate requirements into production-ready solutions through iterative collaboration with stakeholders

Qualifications

Minimum Qualifications

• Master’s degree with 3–5 years of experience OR PhD in Statistics, Data Sciences, Computer Science, or a related quantitative discipline
• Strong hands-on development experience in R
• Experience building interactive dashboards and data applications
• Experience with agentic AI development (tool-use agents, orchestration frameworks, retrieval-augmented generation)
• Good statistical knowledge to ensure analytical rigor in delivered solutions
• Familiarity with clinical development processes and trial design concepts
• Software engineering best practices (version control, testing, CI/CD)
• Ability to evaluate trade-offs between solution approaches and calibrate complexity to the problem at hand
• Good communication skills with ability to collaborate iteratively with stakeholders

Additional Information

Applicable only to applicants applying to a position in any location with pay disclosure requirements under state or local law: ​

• The compensation range described below is the range of possible base pay compensation that the Company believes in good faith it will pay for this roleat  the time of this posting based on the job grade for this position. Individual compensation paid within this range will depend on manyfactors  including  geographic location, and we may ultimately  pay more or less than the posted range. This range may be  modified in the future. ​

• We offer a comprehensive package of benefits including paid time off (vacation, holidays, sick), medical/dental/vision insurance and 401(k) to eligible employees.​

• This job is eligible to  participate in our short-term incentive programs.  ​

Note: No amount of pay is  considered to be wages or compensation until such amount is earned,  vested,  and determinable. The amount and availability of  any bonus, commission, incentive, benefits, or any other form of compensation and benefits that are allocable to a   particular employee  remains in the Company’s sole and absolute discretion unless and until paid and may be  modified at the Company’s sole and absolute discretion,  consistent with applicable law.

AbbVie is an equal opportunity employer and is committed to operating with integrity, driving innovation, transforming lives and serving our community.  Equal Opportunity Employer/Veterans/Disabled.

US & Puerto Rico only - to learn more, visit https://www.abbvie.com/join-us/equal-employment-opportunity-employer.html

US & Puerto Rico applicants seeking a reasonable accommodation, click here to learn more:

https://www.abbvie.com/join-us/reasonable-accommodations.html

About the ClientWe’re helping an innovative accounting technology business find an AI Automation Specialist to help build the next generation of AI-powered bookkeeping and accounting systems.

We are a healthcare technology company that provides platforms and solutions to improve the management and access of cost-effective pharmacy benefits. Our technology helps enterprise and partnership clients simplify their businesses and helps consumers save on prescriptions.

As a leader in SaaS technology for healthcare, we offer innovative solutions with integrated intelligence on a single enterprise platform that connects the pharmacy ecosystem.  With our expertise and modern, modular platform, our partners use real-time data to transform their business performance and optimize their innovative models in the marketplace.

Position Summary:

The Principal AIOps Engineer will build the platform that makes AI cheap, fast, safe, and observable at RxSense. As a direct report to the Director of AI Engineering, this role will own the infrastructure that every AI-powered product at RxSense depends on. This is a hands-on-keyboard position from day one, partnering with AI engineers, software engineers, data scientists, security, and finance to deliver deployment pipelines, agent runtime, eval frameworks, self-hosted model serving, and the developer harness that determines how fast every other engineer in the company can ship.

Essential Duties and Responsibilities:

• Build and maintain end-to-end deployment pipelines for AI-powered applications, including artifact builds, environment promotion, rollback, and observability hooks. Drive new greenfield deployment platforms from initial build to the default that AI teams ship on.
• Stand up and operate the runtime and lifecycle infrastructure for production agents, including deployment, versioning, monitoring, rate-limiting, and retirement. Define the deployment contract (config, secrets, tools, memory, evals) and the operational SLOs.
• Own how the organization provisions, rotates, scopes, and meters access to model provider APIs (Anthropic, OpenAI, and others). Build a key management layer that enforces per-team and per-app quotas, prevents leakage, and gives finance and engineering a clear view of spend.
• Build evals into the CI/CD pipeline so no agent or LLM-powered service ships without passing a defined eval bar. Design the framework so product teams can author their own evals against a shared harness, and so eval results gate promotion across environments.
• Stand up self-hosted inference for workloads where managed APIs aren’t the right fit, including latency-sensitive paths, regulated data, cost optimization, and vendor redundancy. Own the serving stack, the autoscaling and GPU economics behind it, and the playbook for when a workload belongs to a managed provider versus internal infrastructure.
• Design and build the shared developer harness that every AI-powered service uses: prompt management, model routing, retries, tracing, eval hooks, and policy enforcement. Set the abstractions that determine how fast every other AI engineer can ship for the next three years.
• Partner with finance on cost visibility, including token accounting, per-feature cost attribution, and real-time spend observability.
• Write documentation, runbooks, and clear interfaces so the platform is adoptable by other engineering teams without hand-holding.
• Participate in code review and promote collaboration and best practices including simplicity, automation, sound design patterns, test coverage, and reusability.

Education/Experience/Competencies:

• BS (or higher, e.g., MS or Ph.D.) in Computer Science or related technical field involving coding, or equivalent technical experience.
• 6+ years of platform, infrastructure, or DevOps engineering, with at least 2 years building production infrastructure for AI/ML or LLM-powered systems. We care more about depth and drive than years on a resume.
• Deep hands-on experience designing and operating CI/CD pipelines for high-velocity engineering organizations, including artifact management, environment promotion, and progressive rollout.
• Strong AWS background, comfortable down to the IAM, networking, and container orchestration layers.
• Proven track record building developer platforms or internal tools that other engineering teams adopted by choice, not by mandate.
• Production experience with LLM-powered applications, including prompt management, model routing, retries, tracing, and the operational realities of running agents or chains in production.
• Hands-on coding fluency in Python or TypeScript, ideally both. This is a keyboard role, not an architecture-only role.
• Comfortable operating in a polyglot environment. The RxSense AI engineering stack spans Python, .NET, and TypeScript, and you will deploy and support services across all three.
• Comfortable owning the cost and reliability conversation with both engineering leadership and finance partners.
• Strong written communication and a bias toward documentation, runbooks, and clear interfaces.
• Proven analytical thinking and problem-solving skills.
• Excellent communication skills, both verbal and written.

Bonus Qualifications:

• Direct experience integrating with Anthropic, OpenAI, or other frontier model provider APIs at scale, including key management, quota enforcement, and capacity planning.
• Hands-on experience self-hosting models with vLLM, TGI, SGLang, or similar inference servers, including GPU autoscaling and cost optimization.
• Built or contributed to an eval framework that gated production deployments.
• Familiarity with agent runtimes and frameworks such as the Claude Agent SDK, LangGraph, or in-house equivalents.
• Working familiarity with .NET, enough to read code, debug a deploy, and pair with service owners.
• Background in healthcare, PBM, pharmacy, or another regulated data environment.
• FinOps experience, particularly attributing AI spend to features or business units.
• Kubernetes operator experience or comfort with custom controllers.
• Experience with Agile development methodologies, preferably both Scrum and Kanban

Salary Range: $190,000 - $225,000

RxSense believes that a diverse workforce is a more talented and productive workforce. As such, we are an Equal Opportunity and Affirmative Action employer. Our recruitment process is free from discriminatory hiring practices and all qualified applicants are considered for employment without regard to race, color, religion, sex, gender, sexual orientation, gender identity, ancestry, age, or national origin.  Neither will qualified applicants be discriminated against on the basis of disability or protected veteran status.  We believe in the strength of the collaboration, creativity and sense of community a diverse workforce brings.

At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held, we empower our employees to push boundaries, innovate, and shape the future of healthcare.

With the largest long-term and post-acute care dataset and a Marketplace of 400+ integrated partners, our platform serves over 30,000 provider organizations, making a real difference in millions of lives. We also reinvest a significant percentage of our revenue back into research and development, ensuring our employees have the resources to innovate and make a lasting impact. Recognized by Forbes as a top private cloud company and honored as one of Canada’s Most Admired Corporate Cultures, we offer flexibility, growth opportunities, and meaningful work.

At PointClickCare, we empower our people to be the architects of a smarter healthcare future; one that is human-first and accelerated by AI to create meaningful and lasting change. Employees harness AI as a catalyst for creativity, productivity, and thoughtful decision-making. By integrating AI tools into our daily workflows, collaboration is enhanced, outcomes are improved, and every team member has the proficiency to maximize their impact. It all starts with our hiring practices where we uncover AI expertise that complements our mission, and we continue to invest in training and development to nurture innovation throughout the employee journey.

Join us in redefining healthcare — so it doesn’t just survive, it thrives. To learn more about PointClickCare, check out Life at PointClickCare and connect with us on Glassdoor and LinkedIn.

**Travel to Office expectations**

For Remote Roles: If this role is remote, there will be in-office events that will require travel to and from the Mississauga and/or Salt Lake City office. These will include, but not limited to, onboarding, team events, semi-annual and annual team meetings.

For Hybrid Roles: If this role is Hybrid, there will be an expectation to reside within commutable distance to the office/location specified in the job listing. This will include, but not limited to, weekly/bi-weekly/monthly events in the office with your specific team. This is a requirement for this role.

Job Summary

We’re looking for creative thinkers with hands-on experience in Agentforce, AI agent development, and intelligent process automation, who thrive in a collaborative, fast-paced environment. As a Senior Application Engineer specializing in Salesforce Agentforce AI at PointClickCare, you’ll architect and deliver state-of-the-art AI agents and automations that transform system workflows. You’ll be empowered to experiment, prototype, and deliver solutions that directly shape the future of our technology landscape, gain exposure to the latest AI technologies and dedicated time for professional development and certifications as you create AI Agents using Agentforce and other AI tools.

To succeed in this role, you need to be an autonomous and accountable team player with a continuous learning mindset and understand what it means to be a member of a high performing team. You bring hands-on experience building Agentforce AI Agents and over 5 years of experience and knowledge designing, developing, and maintaining configuration and custom applications that integrate with Salesforce or other connected apps.

As a Senior Application Engineer (Salesforce Agentforce AI) at PointClickCare you will also build intelligent process automations, test automations, and debug standard to complex issues related with Apex code, JavaScript, Python or code from other programming languages as it relates to the applications you are developing for. You will develop technical documentation, be part of our DevOps maintenance crew and peer review builds developed by other team members and vendors. You will provide training and consultation related to the systems and processes developed by the team to our business partners and support both transformational projects, high priority enhancements and resolve standard to high complexity incidents to quickly deliver value to the business.

Key duties and responsibilities:

•Work at the forefront of AI-driven Salesforce solutions and build AI Agents using Agentforce, and other AI platforms like Microsoft Studio for CoPilot Agents.

•Pioneer intelligent automations in enterprise environments using IPA tools like Power Automate, Alteryx, and others.

•Build test automations to improve QA efficiencies in QA for Salesforce and other applications.

•Collaborate with product designers, end-users, and other team members to refine and understand outcomes and AI use cases.

•Collaborate with other team members to brainstorm ideas for prototyping to test and solution for use cases identified and prioritized.

•Execute standard to complex tasks in the application development life cycle using languages like Apex, JavaScript, Python, etc., etc., relevant to the core applications (Salesforce, Billing Platform, etc.) and connected or integrated apps (Conga, Docusign, Adobe, Marketo, Gainsight, Gong, Qualtrics, Kantata, TaskRay, etc.).

•Perform unit tests for your builds and collaborate with Product Designers and other team members to create accurate and quality test scripts for automated and manual testing.

•Analyze, troubleshoot, and debug systems for standard issues

•Be an AI change agent in your team to gain team buy-in for adopting use of AI agents to save time, reduce waste and improve efficiency to deliver value to customers faster

•Create and maintain technical documentation for all builds and AI Agents produced

•Onboard, mentor and coach Junior - Intermediate application engineers and your peers – including peer reviewing their work, providing feedback, approving pull requests and providing guidance as needed.

•Perform other tasks and duties as assigned

Skills and Qualifications:

•Hands-on experience building Agentforce AI Agents, AI workflows, custom agent development, and integration of external data sources.

•Solid experience with Salesforce integrations and external system integrations (Conga, Docusign, Adobe, Marketo, Gainsight, Gong, Qualtrics, Kantata, TaskRay.

• Working experience with Workday platform highly desired

•Experience creating intelligent process automations using tools like Power Automate or others

•Solid experience creating test automations for Salesforce and other platforms

•Solid experience writing clean code that performs well at scale using JavaScript, Apex, Python, etc.

•Proficient in DevOps processes and tools (e.g., Copado, AutoRabit)

•Proficient in GITHUB and troubleshooting standard versioning and DevOps issues

•Proficient in Agile methodologies (Scrum/Kanban) to iteratively deliver standard solutions

•Solid experience with automated testing frameworks (e.g. PMD, Selenium, Copado CRT)

•In-depth understanding of Salesforce data models, security, and governor limits

•Excellent organization, critical-thinking and self-management skills

•A continuous learner – you must enjoy acquiring and sharing knowledge and wisdom with others

•Solid Team player and coach to partner with cross-functional teams and other areas of practice like BA, QA & Operations

•Communicates standard - complex ideas, anticipates potential objections and persuades others, often at team level, to adopt a different point of view

•Proven experience as a great Intermediate Application Engineer

Certifications:

•Salesforce Certified Agentforce Specialist

•Salesforce Certified Platform Developer I & II (required)

•Salesforce Advanced Administrator certification (required)

•Salesforce Certified Application/Systems Architect (desired)

•BSc/BA in Computer Science, Engineering, or a related field (or equivalent work experience)

Bonus points for:

•Experience building AI Agents on other AI Platforms

•Experience being part teams that operated using the Product Operating Model

•Experience working on a SaaS product

•Experience with Salesforce Lightning Design System (SLDS) or other UI frameworks like React, Vue.js, or Angular

•Standard understanding of Salesforce Sales Cloud, Service Cloud, Revenue Cloud, Agentforce, and Salesforce Einstein

•Experience working with AWS, Azure, or other cloud platforms.

•Experience working with Service-Oriented Architecture (SOA) and SaaS product development

•Knowledge of SAML, OAuth, and OpenID Connect for authentication and authorization

•Experience with on-call responsibilities for production-grade systems.

•Understanding how to solve the dysfunctions of a team (trust, conflict, commitment, accountability and team results)

$120,000 - $135,000 a year

PointClickCare Benefits & Perks:

Benefits starting from Day 1!

Retirement Plan Matching

Flexible Paid Time Off

Wellness Support Programs and Resources

Parental & Caregiver Leaves

Fertility & Adoption Support

Continuous Development Support Program

Employee Assistance Program

Allyship and Inclusion Communities

Employee Recognition … and more!

It is the policy of PointClickCare to ensure equal employment opportunity without discrimination or harassment on the basis of race, religion, national origin, status, age, sex, sexual orientation, gender identity or expression, marital or domestic/civil partnership status, disability, veteran status, genetic information, or any other basis protected by law. PointClickCare welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection process. Please contact [email protected] should you require any accommodations. As part of our commitment to a streamlined and equitable hiring experience, PointClickCare uses AI tools to assist with candidate screening and assessment.

When you apply for a position, your information is processed and stored with Lever, in accordance with Lever’s Privacy Policy. We use this information to evaluate your candidacy for the posted position. We also store this information, and may use it in relation to future positions to which you apply, or which we believe may be relevant to you given your background. When we have no ongoing legitimate business need to process your information, we will either delete or anonymize it.  If you have any questions about how PointClickCare uses or processes your information, or if you would like to ask to access, correct, or delete your information, please contact PointClickCare’s human resources team: [email protected]

PointClickCare is committed to Information Security. By applying to this position, if hired, you commit to following our information security policies and procedures and making every effort to secure confidential and/or sensitive information.

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.