Software Engineer, Internal Applications - Enterprise

OpenAI OpenAI · AI Frontier · San Francisco, CA · Security

Software Engineer to build internal enterprise applications that automate technology support and administration, reduce manual intervention, and create agentic systems for ticket resolution. Focus on integrating employees, AI agents, and human responders within an ITSM framework, emphasizing user experience and secure, auditable automation.

What you'd actually do

  1. Build frontend experiences that let employees request help, let agents gather context and take safe actions, and let human responders review, approve, or take over without losing the thread.
  2. Reduce reliance on broadly privileged manual actions by replacing them with narrow, auditable, policy-aware automation.
  3. Turn recurring technology support and administration problems into paved-path processes that can be completed consistently and, where appropriate, without a human in the loop.
  4. Build agentic solutions that can understand tickets, gather context, execute safe actions, and escalate intelligently when automation is not enough.
  5. Improve ITSM experiences across intake, routing, execution, handoff, and auditability.

Skills

Required

  • production software development (frontend and backend)
  • modern frontend development
  • designing interfaces for complex operational products
  • turning ambiguous operational problems into clear, usable products or systems
  • backend engineering fundamentals (API design, data modeling, integrations, system reliability)
  • building internal platforms, support tooling, automation systems, or operational products
  • interest in agentic systems, ITSM, enterprise administration, or software that reduces manual operational burden
  • judgment around security, access boundaries, and designing systems that constrain risky actions
  • stakeholder management
  • cross-functional collaboration
  • clear and concise communication

Nice to have

  • enterprise SaaS administration
  • identity systems
  • privileged operational tooling
  • building AI-assisted or agentic support systems
  • ticketing systems
  • request routing
  • approval flows
  • operational case management
  • designing reusable toolsets or platforms consumed by both humans and agents
  • compliance frameworks (SOC 2, ISO 27001, FedRAMP, NIST)

What the JD emphasized

  • build agentic systems
  • reduce reliance on manual intervention
  • build internal products
  • agentic systems
  • human responders
  • policy-aware automation
  • agentic solutions
  • automation is not enough
  • AI-assisted or agentic support systems

Other signals

  • build agentic systems
  • reduce reliance on manual intervention
  • build internal products