AI Deployment Engineer, Agent Enablement
$197,000–$280,000 year
HybridSan Francisco, California, United States
Job Summary
Own the technical partner journey for priority agent enablement integrations, from use-case selection through architecture, prototype, implementation, evaluation, launch, and ongoing maintenance. Help partners choose and implement the right integration path across browser sign-in, connector-initiated OAuth, and agentic account linking with clear user journeys and safe fallback behavior. Write production code, build reference implementations, and create technical guidance and debugging tools that move partners from concept to production. Debug identity and agent workflows end to end, including UI state, browser redirects, token exchange, and latency. Review partner architectures for API contracts, permissions, and data boundaries. Run hands-on evaluations, dogfood, launch-readiness reviews, and post-launch investigations to turn findings into concrete fixes. Contribute targeted improvements to ChatGPT, Codex, and the Agent Enablement platform, including identity protocols, APIs, SDKs, and internal tooling. Work closely with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams to ensure partner launches are smooth, safe, and repeatable. Bring structured signals from partners back to product and engineering to refine platform requirements and developer guidance. This role is based in the San Francisco office with a hybrid schedule of three days in-office per week.
Required Qualifications
- 4–6 years of professional software engineering or AI engineering experience
- Strong enough technically to contribute to the platform itself while still enjoying hands-on coding
- Operated in a customer or partner facing roles in scoping projects, building MVPs, presenting trade-offs in solution design and architecture, understanding user value drivers as well as scoping and executing on tight implementation plans
- Built and operated production full-stack products, APIs, backend services, developer platforms, connectors, or integrations
- Can reason across frontend, backend, auth, data models, reliability, privacy, and UX constraints
- Work comfortably with external engineers, product leaders, and executives
- Translate partner feedback into crisp technical plans and product improvements
- Comfortable with ambiguity and rapidly changing conditions
- Turn high-level ideas into runnable prototypes, API contracts, technical specs
- Balance urgency with judgment
- Keep complex partner launches moving while staying precise about the details that matter
- This role is based in our San Francisco office
- We use a hybrid work model of 3 days in the office per week
- Offer relocation assistance to new employees
Desired Qualifications
- High-level understanding of the identity stack, including how OAuth works
- Experience designing or operating APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations
- Prior customer-facing or partner-facing engineering experience, including leading technical calls, navigating ambiguity, and helping external teams ship production software
- Strong familiarity with AI products, LLM APIs, ChatGPT or Codex surfaces, coding harnesses, developer platforms, agent workflows, or ecosystem products
- Experience with evaluations, staged rollouts, observability, incident response, launch operations, and turning production learnings into durable platform improvements
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