AI Success Engineer – Healthcare, Life Sciences

OpenAI

AI Success Engineer for healthcare and life sciences at OpenAI. Leading post-sales technical relationships and driving AI adoption to improve patient outcomes.

Posted 7/24/2026full-timeNew York City • New York • 🇺🇸 United StatesMid-LevelSenior💰 $162,000 - $240,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in OpenAI products and technical account management, with a strong focus on customer adoption, value realization, and operational deployment in regulated environments. Possesses a deep understanding of healthcare and life-sciences workflows, regulatory requirements, and the ability to translate technical concepts into actionable business strategies.

Highest-signal resume keywords

Technical Account ManagementOpenAI Product ExpertiseHealthcare Regulatory KnowledgeProject and Program ManagementCustomer Relationship Building

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

APIsSDKsPythonJavaScriptCI/CDCloud PlatformsData ClassificationIncident ResponseKPI DefinitionTechnical Deployment

Soft Skills

CommunicationProblem SolvingCollaborationOwnershipAdaptability

Tools & Technologies

OpenAI APIChatGPT EnterpriseCodexAutomation ToolsIntegration Patterns

Industry Keywords

HealthcareLife-SciencesHIPAAGxPClinical ResearchPharmacovigilanceMedical-Device RegulationData PrivacyRegulatory ComplianceBiopharma

Tech Stack

Tools & technologies

CloudJavaScriptPythonSwitching

About the role

Key responsibilities & impact

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

What you’ll need

5+ years of experience in technical customer facing roles such as technical account management, technical GenAI consulting or deployment roles, 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 - such as providers, payers, biopharma, medical-device companies, CROs, or health-technology organizations - and an understanding of their data, workflows, regulatory environments, and operating models.
Scientific or clinical training in a relevant field such as medicine, biology, chemistry, pharmacy, biomedical engineering, or public health, with a passion for applying AI responsibly to advance scientific innovation and improve patient outcomes.
Deep, hands-on operational knowledge of OpenAI product capabilities, APIs, SDKs, connectors, and common integration patterns and able to explain model behavior, limitations, technical tradeoffs, embeddings, retrieval augmentation, and approaches to fine-tuning or custom model usage.
Practical experience deploying technology in regulated enterprise environments, including authentication, access controls, encryption, data classification, retention, auditability, and incident response.
Working knowledge of healthcare and life-sciences requirements - including HIPAA/HITECH and BAAs, global health-data privacy, and, where relevant, GxP, 21 CFR Part 11, clinical research, pharmacovigilance, or medical-device regulation - with the judgment to engage Legal, Privacy, Security, Quality, and Regulatory specialists when appropriate.
Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms.
Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies
Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure
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 on customer work and owning impactful adoption and value for large enterprise customers with complex environments and multiple stakeholders

Benefits

Comp & perks

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.