AI Deployment Engineering Manager, Startups

at OpenAI
USD 251,000-335,000 per year
MIDDLE
✅ Hybrid
✅ Relocation

Used Tools & Technologies

Machine Learning

Required Skills & Competences

Leadership @ 5 Communication @ 3 Prioritization @ 5 API @ 6 Technical Leadership @ 5 Experimentation @ 3 AI @ 3

Details

About the Team

The AI Deployment Engineering team partners closely with customers to help them move from experimentation to production with OpenAI’s technologies. We act as trusted technical advisors, working across customer strategy, architecture, deployment, and adoption to help organizations realize meaningful impact from frontier AI.

The Startups segment serves fast-moving, high-growth companies that are often building new products, workflows, and businesses directly on top of AI. These customers move quickly, operate with high ambiguity, and expect practical, creative, and technically rigorous partnership.

About the Role

We are looking for an AI Deployment Engineering Manager, Startups to lead and scale the Startups AI Deployment Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI.

This leader will operate in a high-velocity customer segment where founders, CTOs, and technical teams expect speed, judgment, and hands-on problem-solving. They will balance team leadership, technical depth, customer prioritization, and cross-functional influence across Sales, Product, Engineering, Research, and broader go-to-market teams.

In this role, you will define how OpenAI supports startup customers at scale: identifying where deep technical engagement can unlock outsized impact, building repeatable deployment mechanisms, and ensuring the team can serve a broad and dynamic customer base without losing quality or strategic focus.

Responsibilities

  • Craft and continuously refine the strategic vision and operating model for the Startups AI Deployment Engineering team, aligning it with OpenAI’s broader company objectives and the evolving needs of high-growth startup customers.
  • Lead, mentor, and grow a team of high-performing technical ICs supporting startup customers across AI-native, developer-led, and product-led companies.
  • Help startups move from early experimentation to production usage by identifying technical blockers, advising on architecture, and driving practical paths to deployment.
  • Partner closely with Sales to determine where technical engagement can accelerate adoption, production usage, and long-term account growth.
  • Represent the technical voice of startup customers by synthesizing high-signal feedback, especially around developer experience, product gaps, deployment blockers, model performance, and emerging use cases.
  • Translate recurring startup needs into repeatable playbooks, starter packs, reference architectures, internal tooling, and customer-facing assets that help the broader team move faster.
  • Serve as a senior technical escalation point for priority startup customers, including founder-, CTO-, and technical executive-level conversations.
  • Balance urgent customer needs with OpenAI’s broader product and platform priorities, especially when startups request niche features, bespoke support, or accelerated roadmap changes.
  • Coach AI Deployment Engineers on technical quality, customer judgment, prioritization, executive communication, and cross-functional partnership.
  • Partner across Sales, Product, Engineering, Research, and other GTM teams to improve how OpenAI supports startups from early adoption through scaled production usage.

Requirements / Qualifications

  • Proven experience founding, scaling, or operating within early-stage startups, ideally in technical leadership roles where you owned both product or customer outcomes and technical execution.
  • Strong track record of building and leading technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments.
  • Strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations.
  • Experience creating scalable operating models, not just managing one-off customer escalations.
  • Comfortable working directly with founders, CTOs, technical executives, and highly technical ICs.
  • Demonstrated judgment about when to go deep for a strategic customer versus when to build repeatable mechanisms for the broader segment.
  • Ability to translate complex technical and product considerations into clear decisions, practical guidance, and customer-facing recommendations.
  • Commitment to fostering the safe and beneficial development of AI.

Success Metrics

  • Increased startup account usage, including tokens, requests, and production workloads.
  • A strong cadence of successful customer sprints and production-oriented technical engagements.
  • High-quality customer stories, founder and CTO satisfaction, and referenceable startup wins.
  • Creation of repeatable startup deployment patterns, starter packs, templates, and reference architectures.
  • Strong Product and Research feedback loops informed by startup customer needs and emerging use cases.
  • A healthy, high-performing team with strong prioritization, clear operating mechanisms, and the ability to scale coverage across a high-demand segment.

About OpenAI

OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.

We are an equal opportunity employer and provide information about background checks, applicant privacy, and accommodation processes in the posting.

Benefits

  • Medical, dental, and vision insurance with employer contributions to Health Savings Accounts.
  • Pre-tax accounts for Health FSA, Dependent Care FSA, and commuter expenses.
  • 401(k) retirement plan with employer match.
  • Paid parental leave (up to 24 weeks for birth parents and 20 weeks for non-birthing parents), paid medical and caregiver leave (up to 8 weeks).
  • Flexible PTO for exempt employees and up to 15 days annually for non-exempt employees.
  • 13+ paid company holidays and company office closures throughout the year.
  • Mental health and wellness support; employer-paid basic life and disability coverage.
  • Annual learning and development stipend.
  • Daily meals in offices and meal delivery credits as eligible.
  • Relocation support for eligible employees.
  • Additional taxable fringe benefits such as charitable donation matching and wellness stipends.