OpenAI7 дней назад
AI Success Engineer - Healthcare & Life Sciences
Зарплата не указана
Полная занятостьУдалёнка
Обязанности
- 01Lead the technical relationship for post-sale customers and act as their trusted advisor on deployment, adoption, and value realization
- 02Own account health, adoption velocity, and ongoing technical deployment and success across your portfolio
- 03Be 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
- 04Identify and validate use cases by embedding with customer teams to understand workflows and pain points
- 05Lead account level coordination across multiple workstreams, including new product activation, change management, and customer rollout and deployment planning
- 06Build strong relationships with executive sponsors and technical stakeholders and help align business goals with OpenAI capabilities
- 07Translate customer objectives into an actionable adoption roadmap with clear sequencing, milestones, and KPIs
- 08Partner 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
- 09Guide value realization and measure impact through baselines, KPI definition, and post deployment reporting
- 10Facilitate workshops on use case design, adoption best practices, champion building, and internal enablement
- 11Help drive expansions by identifying high leverage opportunities where OpenAI’s platform can power new workflows or lines of business
- 12Serve as the technical advisor for existing customer implementations by guiding and optimizing account setup, configuration, etc.
Требования
- 015+ 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
- 02Meaningful 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
- 03Scientific 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
- 04Deep, 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
- 05Practical experience deploying technology in regulated enterprise environments, including authentication, access controls, encryption, data classification, retention, auditability, and incident response
- 06Working 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
- 07Understanding and familiarity with coding languages like Python or JavaScript, and comfort with REST APIs, SDKs, automation, CI/CD, containers, and cloud platforms
- 08Can translate technical concepts into clear business language and help customers understand the strategic impact of AI technologies
- 09Are comfortable embedding with customers to map workflows, identify requirements, and diagnose adoption challenges
- 10Have excellent project and program management instincts and can lead multi workstream initiatives with clarity and structure
Условия
- 01This role is based in San Francisco or NYC, with a hybrid schedule of 3 days per week in the office, or can be performed remotely from anywhere in the U.S.
- 02We also provide relocation support for new employees