Manager, Applied AI Engineering (Digital Natives)
OpenAI · San Francisco · New York City · Seattle · Mountain View
CHECKED 36M AGO
Frontier labremotemanager$302k–$335k
At a glance
Highlights
- Lead applied AI team helping tech customers turn frontier AI into products.
- Guide hands-on design, build, and scale of ambitious AI applications.
- Shape product direction by channeling insights from top AI adopters.
What they offer
- Equity
- Relocation assistance
Ideal candidate
A technical customer-facing leader energized by frontier AI adoption who coaches engineers, partners with CTOs, and turns ambiguity into production impact.
Requirements
- 8+ years in deeply technical, customer-facing roles such as applied engineering, solutions architecture, or technical consulting
- 2+ years leading technical teams with hiring, mentoring, and managing high-performing engineers
- Experience building or deploying generative AI, ML, developer platforms, or cloud software in production
- Strong technical depth across APIs, AI/ML systems, application architecture, and cloud infrastructure
- Hands-on software engineering fluency with Python or JavaScript
- Comfortable working with engineering, product teams, CTOs and executive stakeholders
- Ability to translate ambiguous customer problems into technical approaches from exploration to production
- Strong judgment on deep customer investment vs repeatable segment solutions
- Effective communicator across technical and business audiences
- Thrives in ambiguous, fast-moving environments at forefront of AI adoption
- remote policy
- Hybrid, 3 days in office per week
Lab profile
About OpenAI
Builds safe frontier AI models and products like ChatGPT for broad benefit.
What they build
- ChatGPT
- OpenAI API
- Frontier AI models
Known for
- Frontier-scale distributed ML training
- Massive GPU fleet and data center operations
- Exabyte-scale data lakes and streaming
- AI alignment and safety research
Key facts
- Operates one of the world's largest GPU fleets