AI Success Engineer - Healthcare & Life Sciences

Compensation

The base pay offered may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. The salary range for this role is $162K - $240K per year, with generous equity, performance-related bonuses, 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
• 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

About the Team

OpenAI's HLS AI Success Engineering team partners with the world's most ambitious healthcare and life sciences organizations to translate cutting-edge AI into real patient outcomes. We guide customers from first deployment through scaled enterprise adoption.

About the Role

The AI Success Engineer role is the primary post-sales point of contact for OpenAI's most important customers. You are responsible for driving account health and adoption, ensuring technical readiness, identifying new use cases, and delivering measurable value to our customers.

Responsibilities

• Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
• Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
• Be an expert in all of OpenAI products across our API and agentic platform, Codex, ChatGPT Enterprise, and more, and conduct technical enablement and configuration sessions across them
• Identify and validate use cases by embedding with customer teams to understand workflows and pain points
• Lead account-level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning
• Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
• Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
• Partner with Solutions Architecture, Product, Engineering, and Research by surfacing customer feedback, field patterns, and technical blockers, and act as a cross-functional navigator who keeps teams aligned, informed, and moving toward customer outcomes
• Guide value realization and measure impact through baselines, KPI definition, and post-deployment reporting
• Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement
• Help drive expansions by identifying high-leverage opportunities where OpenAI's platform can power new workflows or lines of business
• Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.

Requirements

• 5+ years of experience in technical customer-facing roles
• Meaningful experience working with healthcare or life-sciences organizations
• Scientific or clinical training in a relevant field
• Deep, hands-on operational knowledge of OpenAI product capabilities
• Practical experience deploying technology in regulated enterprise environments
• Working knowledge of healthcare and life-sciences requirements
• Understanding and familiarity with coding languages like Python or JavaScript
• Can translate technical concepts into clear business language
• Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
• Have excellent project and program management instincts
• Enjoy being a thought partner for C-level stakeholders while also diving deep with technical teams
• Operate with high ownership and can manage fast decision-making, context switching, and dynamic customer needs
• Have a strong record of driving technical deployments with hands-on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders