3 months ago
Base Salary
$197k - $280k/yr
Responsibilities
- Own the technical partner journey from use-case selection and readiness assessment through architecture, implementation, evaluation, launch, rollout, and maintenance.
- Help partners select and implement browser sign-in, connector-initiated OAuth, and agentic account-linking or provisioning integrations.
- Write production and sample code, reference implementations, test harnesses, technical guidance, integration checklists, evaluations, and debugging tools.
- Debug identity and agent workflows across user interface state, redirects, PKCE/OIDC transactions, token exchange, account mapping, callbacks, latency, retries, rate limits, logs, traces, and metrics.
- Review partner architectures for API contracts, permissions, consent, terms acceptance, secret handling, privacy, reliability, data boundaries, and maintainability.
- Run hands-on evaluations, dogfooding, launch-readiness reviews, staged rollouts, and post-launch investigations.
- Contribute improvements to ChatGPT, Codex, and the Agent Enablement platform, including protocols, APIs, SDKs, documentation, internal tooling, and launch guardrails.
- Collaborate with product, engineering, design, partnerships, legal, policy, security, support, and go-to-market teams.
- Turn recurring partner integration patterns into platform requirements, reference architectures, playbooks, and developer guidance.
Requirements
- 4–6 years of professional software engineering or AI engineering experience.
- Experience in customer- or partner-facing roles involving project scoping, MVP development, solution design, architecture trade-offs, and implementation planning.
- Experience building and operating production full-stack products, APIs, backend services, developer platforms, connectors, or integrations.
- Ability to reason across frontend, backend, authentication, data models, reliability, privacy, and user experience constraints.
- Strong understanding of plugins and connectors for coding agents, including MCP servers, CLIs, and APIs for accessing external tools.
- Ability to work with external engineers, product leaders, and executives and translate partner feedback into technical plans and product improvements.
- Ability to turn ambiguous ideas into runnable prototypes, API contracts, and technical specifications.
- Understanding of the identity stack, including OAuth.
- Experience with APIs, webhooks, schemas, SDKs, CLIs, MCP servers, tool-calling systems, or other developer-facing integrations.
- Customer- or partner-facing engineering experience leading technical calls and helping external teams ship production software.
- 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 production improvement work.
Benefits
- Hybrid work model with 3 days per week in the San Francisco office.
- Relocation assistance is available to new employees.
- The role is based in San Francisco.
Categories
Forward DeployedSolutions Engineering
About OpenAI
OpenAI builds and deploys large-scale AI models and tools—including ChatGPT, GPT-4–class models, DALL·E, and Whisper—sold via APIs and enterprise subscriptions to developers and businesses. It monetizes through usage-based API pricing and ChatGPT Plus/Team/Enterprise, and also reaches customers via Microsoft’s Azure OpenAI Service. Founded in 2015 and headquartered in San Francisco, it operates as a private partnership.