Life Sciences AI Deployment Lead: End-to-End Delivery

OpenAI, Inc.

United States

Hybrid

USD 180,000 - 240,000

Full time

14 days+

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Benefits offered by this job

Relocation assistance

Job summary

OpenAI's Forward Deployed Engineering team seeks a Deployment Lead Life Sciences in New York with hybrid work arrangements. You will own end-to-end delivery, from mapping customer workflows to shipping production deployments and driving adoption across Life Sciences partners.

You will bring 7+ years of customer-facing technical delivery leadership in Life Sciences and a proven track record of large, AI-enabled engagements.

Qualifications

  • 7+ years of customer-facing technical delivery leadership in Life Sciences.
  • Experience leading large, complex, high-stakes engagements with AI.
  • Ability to operate in high-ambiguity environments and simplify complexity.
  • Fluent in translating technical trade-offs for business leaders.

Responsibilities

  • Own the technical delivery plan for multiple interdependent workstreams with milestones and acceptance criteria.
  • Run day-to-day engineering execution across OpenAI FDE and customer teams to keep progress unblocked.
  • Embed with customer teams to land deployments, map workflows, and lead adoption and change management.
  • Partner with Product and Research to land platform components and research workstreams on schedule.
  • Codify reusable solution patterns and field signals to improve products and models.
  • Own value cases and ROI; set KPIs and measure pre-/post-deployment impact for exec sponsors.
  • Shape engagement strategies for Life Sciences customers.

Skills

Life Sciences domain
Delivery leadership
AI deployments
Customer engagement

Job description

OpenAI's Forward Deployed Engineering team seeks a Deployment Lead Life Sciences in New York with hybrid work arrangements. You will own end-to-end delivery, from mapping customer workflows to shipping production deployments and driving adoption across Life Sciences partners.

You will bring 7+ years of customer-facing technical delivery leadership in Life Sciences and a proven track record of large, AI-enabled engagements.

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