Reporting to the Executive Director, Market Access Operations and serving as a core member of the leadership team, this role oversees the end-to-end lifecycle of market access contracts,spanning drafting, negotiation, and regulatory compliance to enable both patient access and value creation.

The leader will drive contract implementation, rebate and chargeback processing, and revenue-leakage analysis, directing high-performing teams to improve efficiency in close partnership with payers, wholesalers, and Pharmacy Benefit Managers (PBMs).

Importantly, this role will be accountable for steering the organization through a period of change as we adapt rebate constructs in light of evolving policy updates, setting direction, aligning stakeholders, and ensuring disciplined execution to safeguard market access contracts and sustain operational excellence.

**Key Responsibilities:"

• Operational Management: Oversee the full contract lifecycle,from drafting through execution and renewal,ensuring timely, efficient implementation of pricing strategies and policies aligned with business objectives.

• Contract Administration: Lead administration of Market Access customer contracts, securing favorable terms and ensuring compliance with Gross-to-Net (GTN) implications and Fair Market Value (FMV) assessments.

• Operational Excellence: Drive economic transparency, accurate processing, and SOX-compliant auditability for payments,including rebates, service fees, data purchases, and outcomes-based arrangements,within a robust, end-to-end framework emphasizing internal controls, data integrity, and disciplined documentation.

• Launch Readiness & Supply Chain: Coordinate cross-functional product launch activities, manage wholesaler orders, and ensure supply continuity.

• Change Leadership & Team Management: Lead a large, high-performing team through a period of change, ensuring processes reflect best practice and evolve in step with a rapidly changing external landscape. Make staffing decisions and effectively assess and coach managers to optimize team composition, capability, and performance.

• Process Improvement: Institutionalize standardized operating processes while continuously identifying and implementing enhancements to improve efficiency, accuracy, and compliance.

• Compliance & Risk Management: Ensure adherence to all laws, regulations, and policies governing AZ Contract and Trade Operations, proactively manage risks, and participate as a voting member of the GTN Governance Committee.

• Performance Metrics & Analytics: Develop and operationalize KPIs and dashboards to monitor contract performance, financial liabilities, and account/partner performance; deliver data-driven insights on market trends to support strategic planning and decision-making.

• Cross-Functional Collaboration: Partner with Legal, Finance, Brand, and Market Access teams to align contracting strategies with commercial goals.

• Stakeholder Engagement: Build and maintain strategic relationships with key external stakeholders,including payers, wholesalers, and industry associations,and manage vendor and third-party partnerships.

Requirements:

• Bachelor’s degree in relevant field (Business, Finance, or Life Sciences).

• 8 years in market access, access strategy or finance with at least 5 years in a leadership role. Proven track record in leading and developing high-performing teams

• Strong understanding of payers, specialty pharmacy models (including limited distribution networks), 3PL operations, and group purchasing organizations.

• Proficiency in contract management systems (e.g., Model N, Salesforce), ERP systems (e.g., SAP, Oracle), and data analytics tools (e.g., Excel, PowerBI).

• Successfully leads cross-functional projects, manages vendor relationships, and negotiates in matrixed organizations.

Preferred Requirements:

• An Advanced Degree (MA/MS/MBA) or equivalent experience is preferred

• Pharmaceutical trade, distribution, or contracting roles

• Detailed understanding of AZ business model with knowledge of brand team operation, brand planning, and sales model.

Why AstraZeneca?

At AstraZeneca when we see an opportunity for change, we seize it and make it happen, because any opportunity no matter how small, can be the start of something big. Delivering life-changing medicines is about being entrepreneurial - finding those moments and recognizing their potential. Join us on our journey of building a new kind of organization to reset expectations of what a bio-pharmaceutical company can be. This means we’re opening new ways to work, pioneering cutting edge methods and bringing unexpected teams together.

Interested? Come and join our journey. When we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility.

Join us in our unique and ambitious world. Ready to make a difference? Apply now and join us on this exciting journey

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At Gusto, we're on a mission to grow the small business economy. We handle the hard stuff , payroll, health insurance, 401(k)s, and HR , so owners can focus on their craft and their customers.

With teams in Denver, San Francisco, and New York, we support more than 400,000 small businesses nationwide and are building a workplace that reflects the people we serve.

All full-time employees receive competitive base pay, benefits, and equity (RSUs) , because everyone who helps build Gusto should share in its success. Offer amounts are determined by role, level, and location. Learn more about our Total Rewards philosophy.

AI is a fundamental part of how work gets done at Gusto. We expect all team members to actively engage with AI tools relevant to their role and grow their fluency as the technology evolves. AI experience requirements vary by role and will be assessed during the interview process.

About the Role:

Gusto is scaling our AI-powered risk function to support a complex, multi-entity business operating in highly regulated environments. As the Enterprise Risk Management Lead, you will own and operate Gusto's Enterprise Risk and Third Party Risk Management programs , built AI-first, designed to scale, and built to enable the business to move fast without breaking things.

This is a People Empowerer (manager) role. You balance hands-on program leadership with managing and developing a team of compliance professionals. You navigate the tension between "doing the work" and "leading the work" , contributing directly to complex, high-impact programs while ensuring your team delivers with excellence.

You are a change agent who influences how automated risk management gets done at Gusto, models AI-enabled ways of working, and helps others grow their own capabilities in the process.

You will champion the adoption of AI, machine learning, and process automation across risk monitoring, control testing, incident management, and reporting , and you will partner with Product, Data Science, and Engineering to make it explainable, adopted, compliant, and scalable.

Here’s what you’ll do day-to-day:

You manage initiatives that are complex in both scope and impact, influencing the strategic direction of Gusto's compliance risk management framework.

You apply a deep understanding of the regulatory landscape and how it intersects with Gusto's business model to proactively design and lead cross-functional risk programs.

You translate complex risk topics into clear, actionable guidance that senior leaders can immediately understand and operationalize.

You lead cross-functional working groups, align divergent perspectives, and drive cohesive progress toward shared goals , with minimal oversight.

As a PE, you balance individual risk and compliance contribution with team leadership.

You manage operations, professional development, resource allocation, and performance , while staying close enough to the work to be a credible, hands-on partner to your team and stakeholders.

You model responsible AI use, and act as a source of knowledge and mentorship , supporting your team's AI journey and helping others apply it responsibly and effectively.

AI-Enabled Risk Operations, Innovation & Transformation

This is how you and your team operate , not a side project.

• Champion the adoption of AI, machine learning, process automation, and advanced analytics to improve risk monitoring, control testing, and reporting across ERM, TPRM, and broader compliance functions

• Lead the integration of AI and automation into every phase of the risk lifecycle: vendor assessments, document ingestion and analysis, continuous monitoring and alerting, risk scoring, prioritization, and trend analysis

• Build intelligent risk monitoring and evaluation systems , including auto-tagging for risk issues, audit requests, and regulatory changes , that improve real-time visibility and eliminate manual effort across the enterprise risk portfolio

• Drive the digitalization of risk tools including RCSAs, KRIs, incident reporting, and audit tracking , transforming periodic, reactive processes into continuous intelligence systems with live leading and lagging indicators that enable real-time decision-making

• Partner with Product, Data Science, and Engineering to define requirements for AI-driven workflows, decisioning engines, and dashboards , ensuring explainability, auditability, and regulatory defensibility of all AI-enabled risk decisions

• Design and build intelligent dashboards and reporting tools that deliver real-time risk visibility and decision-quality insights to senior leadership and cross-functional stakeholders

• Design AI workflows with appropriate validation loops, human-in-the-loop checkpoints, and guardrails , ensuring outputs are reliable, governable, and meet regulatory standards before being used to frame risks, recommendations, or decisions

• Stay current on AI advancements and emerging technologies and proactively integrate new capabilities into team operations to increase velocity and scale

• Model responsible AI use , supporting ICs in their AI journeys and fostering a culture of intentional experimentation, accountability, and continuous improvement

Enterprise Risk Management

• Design, implement, and continuously improve Gusto's ERM framework, ensuring alignment with best practices and Gusto's stage of growth and strategic priorities across all entities

• Define and maintain Gusto's enterprise risk taxonomy, risk appetite statement, and key risk indicators spanning operational, regulatory, technology, financial, and reputational risk domains

• Lead Gusto's Enterprise Risk Management process , driving integration of risk practices across business functions, promoting a proactive risk culture, and ensuring incident management, root cause analysis, and lessons learned are systematically captured in an automated, AI forward way.

• Apply AI-assisted insights to enterprise risk datasets to surface systemic patterns, validate assumptions, prioritize risks, and deliver proactive, data-driven advisory to senior leadership

• Monitor the regulatory landscape (OCC, FDIC, CFPB, SEC, FINRA, GDPR, NIST, ISO, SOC) and leverage AI to proactively incorporate changes before they become compliance gaps

• Act as a key advisor to senior compliance leadership , translating complex risk findings into clear, actionable recommendations with minimal oversight

Third Party Risk Management (TPRM)

• Design, implement, and independently manage a high-impact, AI-first TPRM program with clear milestones, progress tracking, and measurable outcomes across all Gusto entities

• Manage the full third-party risk lifecycle , onboarding and risk profiling, periodic assessments, issue management, corrective action tracking, and offboarding , across suppliers, product partners, contractors, service providers, and cloud service providers , and do so in an AI and automated way.

• Maintain a centralized, authoritative vendor risk inventory and risk register, ensuring real-time visibility into Gusto's third-party risk posture

• Conduct periodic AI-driven audits and reviews of third-party compliance with contractual obligations and regulatory standards, identifying patterns that inform continuous program improvement

• Serve as the central orchestrator across Compliance, Security, Legal, Procurement, IT, and GRC for proactive and reactive third-party incident management

• Own Gusto's TPRM policy and maintain comprehensive documentation , risk assessments, audit findings, corrective actions , ensuring full accountability and traceability

People Leadership & Team Development

• Balance individual compliance contribution with team leadership , managing operations, professional development, resource allocation, and performance while staying close to the work

• Coach and develop ICs toward next

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Join our team as an OTC Derivatives Sales Trader, where you will be at the forefront of connecting a wide range of client personas with tailored crypto derivative solutions, navigating complex market dynamics, and driving revenue generation.

This role offers a unique platform to leverage your expertise, expand your network, and make a significant impact within a collaborative and high-performing culture. Get ready to immerse yourself in the intricacies of global markets and play a pivotal role in shaping our clients' investment strategies.

Technical Skills:

• Drive: Proactively identify and pursue new business opportunities within the OTC derivatives space.
• Build: Establish and nurture strong, long-term relationships with institutional clients, understanding their specific needs and providing tailored derivative solutions.
• Develop: Use programming skills to find efficiencies in work flows and operational processes, reducing manual effort and the human error surface area.

Complexity and Impact of Work:

• Lead: Take ownership of client relationships and sales processes, guiding clients through the execution of complex derivative transactions.
• Manage: Effectively manage a portfolio of client relationships, ensuring their ongoing satisfaction and identifying opportunities for additional trading needs.

Organizational Knowledge:

• Collaborate: Work closely with trading, structuring, legal, and operations teams to develop and deliver comprehensive solutions to clients.
• Deliver: Ensure the seamless execution of trades and the efficient delivery of post-trade services to clients.

Communication and Influence:

• Listen: Actively listen to clients to understand their investment goals, risk tolerance, and market views.
• Contribute: Articulate complex derivative concepts clearly and concisely to clients, both verbally and in written presentations.

You may be a fit for this role if you have:

• A strong understanding of OTC derivative products, particularly forwards and options trading
• Proven experience in a client-facing sales/trading role
• Demonstrable track record of building and maintaining successful relationships with institutional clients
• Excellent communication, presentation, and negotiation skills, with the ability to explain complex concepts clearly
• Strong analytical and problem-solving abilities, with the capacity to understand and address client-specific needs
• A solid understanding of relevant market regulations and compliance requirements
• A Bachelor's degree in Finance, Financial Engineering, Statistics, Economics, or a related quantitative field.

Although not a requirement, bonus points if:

• Existing network of institutional clients within the relevant market segments
• Programming experience, particularly focused on operational efficiencies and auditability
• Strong background in macro trading and dominant themes in a variety of markets such as crypto, equities, fixed income, energy and fiat currencies.

Additional Information About Anchorage Digital: Anchorage Digital is committed to being a welcoming and inclusive workplace for everyone, and we are intentional about making sure people feel respected, supported, and connected at work,regardless of who you are or where you come from. We value and celebrate our differences and we believe being open about who we are allows us to do the best work of our lives.

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Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

People

Compensation

• $265K – $295K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the Team

OpenAI’s People team is committed to hiring, engaging, and supporting world-class talent to help safely build and deploy universally beneficial Artificial General Intelligence (AGI).

About the Role

As Director of People Operations, you will own the core operational infrastructure that enables OpenAI to scale responsibly. This role serves as the operational backbone of the People function, with accountability for data integrity, operational controls, and audit readiness across the systems that support a complex, global workforce, including the operational foundations of recruiting and hiring at scale.

Responsibilities

• Own and continuously improve People Operations across the full workforce lifecycle, from candidate and hiring operations through onboarding and offboarding, ensuring scalable, compliant, and people-centered processes globally.

• Lead and develop a high-performing operations team across people and recruiting operations, setting clear standards, driving accountability, and building strong operational judgment.

• Own the integrity of workforce data end-to-end, from candidate and hiring data through employee lifecycle data, proactively identifying gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Design, document, and rigorously test critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

• Serve as a senior operational partner to Finance, Legal, IT, Security, and People leadership, translating business needs into durable infrastructure that supports both hiring velocity and responsible workforce scale.

• Oversee People systems and vendors that support hiring and the employee lifecycle (e.g., ATS, HRIS, onboarding, payroll, benefits administration), ensuring reliability, clean handoffs, and strong user experience.

• Lead operational readiness for growth events such as headcount expansion, new entities, new geographies, and other strategic initiatives.

What You Will Bring

• Exceptional judgment, comfort operating in ambiguity, and the ability to balance rigor with empathy at scale.

• Strong operational judgment, with a focus on data-driven decision making and process improvement.

• Proven ability to lead and develop high-performing teams, with a focus on building strong operational judgment and accountability.

• Strong communication and interpersonal skills, with the ability to effectively partner with cross-functional stakeholders.

• Experience with People Operations, Recruiting Operations, or a related field, with a focus on scalable, compliant, and people-centered processes.

• Strong analytical and problem-solving skills, with the ability to identify gaps, risks, and failure points before they impact compliance, reporting, or trust.

• Experience with designing, documenting, and rigorously testing critical People and hiring processes and internal controls, with a strong focus on auditability, SOX-relevant controls where applicable, and long-term scalability.

What We Offer

• Competitive salary and benefits package, including equity and performance-related bonus(es).

• Opportunity to work with a rapidly growing company that is making a significant impact in the field of artificial general intelligence.

• Collaborative and dynamic work environment, with a focus on building strong operational judgment and accountability.

• Professional development opportunities, including training and education programs, to help you grow and develop in your career.

• Flexible work arrangements, including remote work options and flexible hours.

How to Apply

If you are a motivated and experienced professional looking to join a dynamic and growing company, please submit your application, including your resume and a cover letter, to [insert contact information].

Contact Information

[Insert contact information, including email address and phone number].

XML job scraping automation by YubHub

Location

New York City

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in NYC. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and process improvements.

What we offer

• Competitive salary and equity package

• Opportunity to work with a talented team of engineers and researchers

• Collaborative and dynamic work environment

• Professional development and growth opportunities

• Flexible work arrangements

• Comprehensive benefits package

• Access to cutting-edge technology and resources

How to apply

If you are a motivated and talented individual who is passionate about AI and life sciences, we encourage you to apply for this exciting opportunity. Please submit your resume and a cover letter explaining why you are a strong fit for this role.

XML job scraping automation by YubHub

Location

San Francisco

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

Compensation

• $198K – $335K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

Benefits

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

Responsibilities

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

Requirements

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validat

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Location

Paris, France

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in Paris. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

XML job scraping automation by YubHub

Location

London, UK

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Dublin, Ireland

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in Dublin. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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Location

Munich, Germany

Employment Type

Full time

Location Type

Hybrid

Department

Model Deployment for Business

About the team

OpenAI’s Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production-grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments.

About the role

We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre-clinical) and development (e.g., trial design, trial ops, biostats) by leading end-to-end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real-world data, infrastructure, and constraints into production systems.

You will measure success through production adoption, measurable workflow impact, and eval-driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You’ll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence.

This role is based in Munich. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required.

In this role you will

• Design and ship production systems around models, owning integrations, data provenance, reliability, and on-call readiness across research, clinical, and operational workflows.

• Lead discovery and scoping from pre-sales through post-sales, translating ambiguous workflow needs into hypothesis-driven problem framing, system requirements, and an execution plan with measurable endpoints.

• Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact.

• Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling.

• Run evaluation loops that measure model and system quality against workflow-specific scientific benchmarks and use results to drive model and product changes.

• Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments.

You might thrive in this role if you

• Bring 5+ years of software/ML engineering or technical deployment experience with customer-facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged.

• Have owned customer GenAI deployments end-to-end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time.

• Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout.

• Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility.

• Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

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PM - Finance Transformation

Location

San Francisco

Employment Type

Full time

Department

Finance

Compensation

• $216K – $240K • Offers Equity

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. If the role is non-exempt, overtime pay will be provided consistent with applicable laws. In addition to the salary range listed above, total compensation also includes generous equity, performance-related bonus(es) for eligible employees, and the following benefits.

• Medical, dental, and vision insurance for you and your family, with employer contributions to Health Savings Accounts

• Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses (parking and transit)

• 401(k) retirement plan with employer match

• Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), plus paid medical and caregiver leave (up to 8 weeks)

• Paid time off: flexible PTO for exempt employees and up to 15 days annually for non-exempt employees

• 13+ paid company holidays, and multiple paid coordinated company office closures throughout the year for focus and recharge, plus paid sick or safe time (1 hour per 30 hours worked, or more, as required by applicable state or local law)

• Mental health and wellness support

• Employer-paid basic life and disability coverage

• Annual learning and development stipend to fuel your professional growth

• Daily meals in our offices, and meal delivery credits as eligible

• Relocation support for eligible employees

• Additional taxable fringe benefits, such as charitable donation matching and wellness stipends, may also be provided.

More details about our benefits are available to candidates during the hiring process.

This role is at-will and OpenAI reserves the right to modify base pay and other compensation components at any time based on individual performance, team or company results, or market conditions.

About the Team

The Finance Transformation team at OpenAI partners closely with Finance, Engineering, Product, and GTM to rethink and scale core business processes as the company grows. Our work sits at the intersection of process design, systems architecture, and operating model evolution—turning fragmented, manual workflows into scalable, repeatable, and well-controlled platforms.

We operate as embedded partners to finance, accounting and operations teams, with real influence over priorities and roadmap. The team focuses on building durable foundations across finance-critical domains such as Record-to-Report, Order-to-Cash, Procure-to-Pay, and Supply Chain—enabling speed, accuracy, and insight as OpenAI continues to evolve.

About the Role

As a PM on the Finance Transformation team, you will lead complex, cross-functional initiatives to redesign and scale core finance and business processes. This role is not traditional project management or intake coordination. Instead, you will operate as a process expert and transformation lead, owning problem definition, future-state design, and end-to-end delivery in close partnership with AI and application engineers.

You’ll work across Finance, Accounting, GTM, Infra, Data and Engineering to align on outcomes, shape technical priorities, and ensure solutions are built for scale, auditability, and long-term sustainability. Success in this role comes from deep understanding of how processes actually work, comfort operating in ambiguity, and the ability to translate business complexity into clear, system-enabled solutions.

This role is based in San Francisco, CA. We use a hybrid work model of 3 days/week in the office and offer relocation assistance.

In this role, you will:

• Lead end-to-end transformation initiatives across core finance and business processes, from current-state assessment through future-state design and scaled adoption.

• Act as a process expert and problem framer, deeply understanding existing workflows to identify root causes, translate business needs into clear requirements, and influence process owners to adopt future-state, leading practices.

• Identify opportunities to leverage automation and AI to improve accuracy, efficiency, and decision-making across finance processes.

• Partner closely with AI and application engineers to design system-native solutions rather than manual workarounds or downstream fixes.

• Redesign operating models, workflows, and controls to enable consistent, repeatable execution as the company scales globally.

• Drive cross-functional alignment across Finance, Accounting, GTM, and Infra; balancing speed, control, and flexibility.

• Define success metrics and outcomes (cycle time, error rates, automation coverage, close impact) and use them to guide delivery and prioritization.

• Lead UAT, change management, and rollout planning to ensure solutions are adopted and sustained in real operations.

You might thrive in this role if you have:

• 8+ years of experience in product management, process transformation, or finance process-owner roles in complex, scaled environments.

• Deep understanding of how finance and operational processes actually run (e.g., O2C, P2P, supply chain, core accounting), even if you’ve not owned every domain directly.

• Experience partnering closely with engineering teams and influencing technical priorities without owning direct reports.

• A strong process mindset—you enjoy untangling ambiguity, identifying root causes, and designing future-state workflows that scale.

• Comfort operating across business and technical contexts, with the ability to translate between stakeholders.

• A bias toward durable, system-enabled solutions over manual processes or one-off fixes.

• Strong written and verbal communication skills, especially in cross-functional settings.

• Experience leading complex initiatives

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