AI Success Engineer - Healthcare & Life Sciences

Details

OpenAI’s HLS AI Success Engineering team partners with healthcare and life sciences organizations to translate AI into patient outcomes. The team supports customers from initial deployment through scaled enterprise adoption, including technical integration and enablement, workflow transformation, and ongoing program and product delivery.

Customers include healthcare and life sciences innovators, biopharma companies, medical technology organizations, healthcare providers, payers, and research organizations.

Responsibilities

• Lead the technical relationship for post-sale customers and act as a trusted advisor on deployment, adoption, and value realization.
• Own account health, adoption velocity, technical deployment, and customer success across a portfolio.
• Develop expertise in OpenAI products, including the API and agentic platform, Codex, and ChatGPT Enterprise, and conduct technical enablement and configuration sessions.
• Identify and validate use cases by working with customer teams to understand workflows and pain points.
• Coordinate multiple account-level workstreams, including product activation, change management, rollout, and deployment planning.
• Build relationships with executive sponsors and technical stakeholders and align business goals with OpenAI capabilities.
• Translate customer objectives into adoption roadmaps with sequencing, milestones, and KPIs.
• Partner with Solutions Architecture, Product, Engineering, and Research to surface customer feedback, field patterns, and technical blockers.
• Guide value realization through baselines, KPI definition, and post-deployment reporting.
• Facilitate workshops on use-case design, adoption best practices, champion building, and internal enablement.
• Identify expansion opportunities where OpenAI’s platform can support new workflows or lines of business.
• Advise customers on implementation, account setup, and configuration.

Requirements

• 5+ years of experience in technical customer-facing roles such as technical account management, technical generative AI consulting or deployment, solutions architecture, technical delivery leadership, customer architecture or engineering, or other deep technical enterprise adoption work.
• Meaningful experience working with healthcare or life sciences organizations, including providers, payers, biopharma, medical-device companies, CROs, or health-technology organizations.
• Scientific or clinical training in a relevant field such as medicine, biology, chemistry, pharmacy, biomedical engineering, or public health.
• Hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns.
• Ability to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and fine-tuning or custom model usage.
• Experience deploying technology in regulated enterprise environments, including authentication, access controls, encryption, data classification, retention, auditability, and incident response.
• Familiarity with HIPAA/HITECH, BAAs, global health-data privacy, GxP, 21 CFR Part 11, clinical research, pharmacovigilance, or medical-device regulation, as relevant.
• Familiarity with Python or JavaScript, REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.
• Ability to translate technical concepts into clear business language and communicate the strategic impact of AI technologies.
• Strong project and program management skills, with the ability to lead multi-workstream initiatives.
• Experience working with C-level stakeholders and technical teams.
• Strong ownership, adaptability, and ability to manage fast decision-making, context switching, and dynamic customer needs.
• A strong record of driving technical deployments and owning adoption and value for large enterprise customers with complex environments and multiple stakeholders.

Benefits

• Equity, performance-related bonuses for eligible employees, and benefits including medical, dental, and vision insurance.
• Health Savings Accounts, flexible spending accounts, commuter benefits, and a 401(k) plan with employer match.
• Paid parental, medical, caregiver, vacation, sick, and safe leave.
• Paid company holidays and coordinated office closures.
• Mental health and wellness support.
• Employer-paid basic life and disability coverage.
• Annual learning and development stipend.
• Daily office meals and eligible meal delivery credits.
• Relocation support for eligible employees.
• Additional benefits may include charitable donation matching and wellness stipends.

The role is hybrid, with three days per week in the office, or may be performed remotely from anywhere in the United States. OpenAI is an equal opportunity employer and provides reasonable accommodations to applicants with disabilities.