Urgent! Technical Deployment Lead, Life Sciences Job Opening In San Francisco – Now Hiring OpenAI
About the Team
OpenAI’s Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems.
We embed deeply with customers to solve high-leverage problems and act as the delivery engine for our most complex large-scale engagements.
We move quickly from prototype to production and surface reusable patterns that shape our platform.
We operate at the intersection of deployment and development – working closely with OpenAI Research, Product and Partnerships.
About the Role
This is a founding role.
As AMER’s first Technical Deployment Lead (TDL), you will define how OpenAI delivers complex systems to customers.
You will own how they are built, shipped, and adopted.
You’ll translate business outcomes into a technical plan, run day-to-day execution across FDEs, Researchers, and Customer Engineers, and partner with customer teams to ensure delivery supports their goals.
You will own delivery end-to-end: embedding with customers to map workflows and success criteria, ensuring components ship on time, and leading readiness and change management for adoption.
You’ll track progress, manage dependencies, make sequencing decisions, and drive 0→1 prototypes through MVP and scale.
You will also share field insights with Product and Research to guide roadmap and priorities.
Success will be measured first and foremost by impact - deployments that deliver measurable value against customer goals, drive adoption, and become critical to their workflows.
Additional measures of success include delivery reliability (milestones hit, low reopen/churn), operating leverage (patterns reused across deployments), judgment under pressure, and product impact (field signal that shifts roadmaps/architectures).
This is a high-trust, high-autonomy role.
Success requires deep technical project management expertise, extreme ownership of outcomes, and an ability to immerse in customer workflows and partner with customer teams to solve complex engineering problems at pace.
This role is based in San Francisco.
We use a hybrid work model of 3 days in the office per week.
We offer relocation assistance.
Travel up to 50% is required.
In this role, you will:
Own the technical delivery plan for multiple interdependent workstreams.
Translate business objectives into a roadmap with milestones, dependencies, and acceptance criteria.
Run day-to-day engineering execution. Track and drive delivery across OpenAI FDE and customer teams.
Keep progress unblocked and sequenced.
Make real-time trade-offs on scope and priority to protect the critical path.
Embed with customer teams to land production deployments and drive adoption. Map workflows, shape tools/integrations, and translate requirements into a delivery plan.
Lead onboarding, adoption, and change management.
Partner with Product and Research so platform components and research workstreams land in time to support deployment goals.
Codify solution patterns and evals. Extract reusable patterns and package field signals to improve product and models.
Own value cases and ROI. Set impact hypotheses, baselines, and KPIs; run pre-/post-deployment measurement and report to exec sponsors.
Shape how we engage Life Sciences customers
You’ll thrive in this role if you:
Bring 7+ years of customer‑facing technical delivery leadership.
Have expertise in Life Sciences
Track record of successfully leading large, complex, high-stakes customer engagements where customer outcomes depended on tight coordination and fast decision making, ideally involving AI.
Excel in high ambiguity environments.
Know how to simplify complex and dynamic work.
Move fluidly between system level understanding and execution level detail; can dive into customer workflows/data, map constraints, sketch architectures and move ambiguous problems to shipped systems.
Think strategically and pattern-match.
Able to step back from execution detail, recognise broader trends across deployments, and connect customer needs to scalable, reusable solutions.
Have strong technical fluency and sharp sequencing instincts.
Confident discussing technical details, pressure-testing architectures, and making trade-offs.
Have shipped AI/LLM systems.
You understand solution patterns, integration basics, and production pitfalls.
You’re a translator with executive presence.
You make complex technical trade-offs legible to business leaders and convert strategy into day-to-day technical execution.
Enjoy being onsite with customers to accelerate delivery (often 25-50%, sometimes higher).
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Unlock Your Technical Deployment Potential: Insight & Career Growth Guide
Real-time Technical Deployment Jobs Trends in San Francisco, United States (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Technical Deployment in San Francisco, United States using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 25616 jobs in United States and 1027 jobs in San Francisco. This comprehensive analysis highlights market share and opportunities for professionals in Technical Deployment roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! OpenAI is currently hiring and seeking a Technical Deployment Lead, Life Sciences to join their team. Feel free to download the job details.
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An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at OpenAI adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Technical Deployment Lead, Life Sciences Jobs United States varies, but the pay scale is rated "Standard" in San Francisco. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.
Key qualifications for Technical Deployment Lead, Life Sciences typically include Computer Occupations and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Before the Interview:To prepare for your Technical Deployment Lead, Life Sciences interview at OpenAI, research the company, understand the job requirements, and practice common interview questions.
Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the OpenAI's products or services and be prepared to discuss how you can contribute to their success.
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