Manager, Applied AI Engineering (Startups)
OpenAI · San Francisco
About this role
## About the Team The Applied AI 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’re looking for an **Applied AI Engineering Manager, Startups** to lead and scale the Startups Applied AI Engineering motion. This team helps high-growth startups move quickly from experimentation to production, unlock meaningful usage, and build durable technical partnerships with OpenAI. In this role, you’ll 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. ## What You’ll Do - Craft and continuously refine the strategic vision and operating model for the Startups Applied AI Engineering team, aligning it with OpenAI’s broader company objectives and evolving startup needs. - 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 (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. - 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 Applied AI 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. ## You Might Thrive If - You’ve founded, scaled, or operated within early-stage startups—ideally in technical leadership roles where you owned both product/customer outcomes and technical execution. - You’ve built and led technical, customer-facing teams in high-growth, ambiguous, or startup-heavy environments. - You bring strong technical depth across APIs, platform products, AI/ML systems, developer workflows, and production deployment considerations. - You’ve created scalable operating models—not just managed one-off customer escalations. - You’re comfortable working directly
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