Technical Deployment Lead, Life Sciences at OpenAI

San Francisco, California, United States

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$280,000 – $345,000Compensation

Senior (5 to 8 years), Expert & Leadership (9+ years)Experience Level

Full TimeJob Type

UnknownVisa

Life SciencesIndustries

Requirements

7+ years of customer-facing technical delivery leadership
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, recognize broader trends across deployments

Responsibilities

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

Skills

Key technologies and capabilities for this role

Technical Project ManagementDeployment EngineeringPrototype DevelopmentMVP ScalingChange ManagementWorkflow MappingDependency ManagementStakeholder CoordinationCustomer EngineeringProduction Deployment

Questions & Answers

Common questions about this position

What is the salary range for the Technical Deployment Lead role?

The salary range is $280K - $345K.

Is this role remote, and what is the location policy?

The role is based in San Francisco with a hybrid work model of 3 days in the office per week. Travel up to 50% is required, and relocation assistance is offered.

What key skills are required for this position?

The role requires deep technical project management expertise, extreme ownership of outcomes, ability to immerse in customer workflows, and partnering with customer teams to solve complex engineering problems at pace.

What is the team and work environment like at OpenAI for this role?

The Forward Deployed Engineering (FDE) team turns research breakthroughs into production-grade systems, embedding deeply with customers on complex engagements. It operates at the intersection of deployment and development, working closely with OpenAI Research, Product, and Partnerships in a high-trust, high-autonomy environment.

What makes a strong candidate for this Technical Deployment Lead role?

Strong candidates will demonstrate impact through deployments delivering measurable value, drive adoption, ensure delivery reliability with milestones hit and low churn, create operating leverage via reusable patterns, show judgment under pressure, and influence product roadmaps with field insights.

OpenAI

Develops safe and beneficial AI technologies

About OpenAI

OpenAI develops and deploys artificial intelligence technologies aimed at benefiting humanity. The company creates advanced AI models capable of performing various tasks, such as automating processes and enhancing creativity. OpenAI's products, like Sora, allow users to generate videos from text descriptions, showcasing the versatility of its AI applications. Unlike many competitors, OpenAI operates under a capped profit model, which limits the profits it can make and ensures that excess earnings are redistributed to maximize the social benefits of AI. This commitment to safety and ethical considerations is central to its mission of ensuring that artificial general intelligence (AGI) serves all of humanity.

San Francisco, CaliforniaHeadquarters

2015Year Founded

$18,433.2MTotal Funding

LATE_VCCompany Stage

AI & Machine LearningIndustries

1,001-5,000Employees

Benefits

Health insurance

Dental and vision insurance

Flexible spending account for healthcare and dependent care

Mental healthcare service

Fertility treatment coverage

401(k) with generous matching

20-week paid parental leave

Life insurance (complimentary)

AD&D insurance (complimentary)

Short-term/long-term disability insurance (complimentary)

Optional buy-up life insurance

Flexible work hours and unlimited paid time off (we encourage 4+ weeks per year)

Annual learning & development stipend

Regular team happy hours and outings

Daily catered lunch and dinner

Travel to domestic conferences

Risks

Elon Musk's legal battle may pose financial and reputational challenges for OpenAI.

Customizable ChatGPT personas could lead to privacy and ethical concerns.

Competitors like Anthropic raising capital may intensify market competition.

Differentiation

OpenAI's capped profit model prioritizes ethical AI development over unlimited profit.

OpenAI's AI models, like Sora, offer unique video creation from text descriptions.

OpenAI's focus on AGI aims to create AI systems smarter than humans.

Upsides

OpenAI's $6.6 billion funding boosts its AI research and computational capacity.

Customizable ChatGPT personas enhance user engagement and satisfaction.

OpenAI's 'Operator' AI agent could revolutionize workforce automation by 2025.

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