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OpenAI Presence, part of Enterprise Engineering, builds a platform for reliable AI agents that execute high-volume business workflows. The platform supports agent development, deployment, and improvement through real-world interactions, connecting agents to company systems with voice and chat experiences, policies, guardrails, and human handoffs.
You will provide hands-on technical leadership to shape the foundations of the Presence platform and build systems that make AI agents dependable in production business operations. You'll guide architectural decisions and implementation across the platform, staying close to the code while setting technical direction. The work centers on backend services powering Presence and extends across the stack, giving you scope to influence both underlying systems and the experiences they enable.
Key responsibilities include:
- Provide hands-on technical leadership, guiding architectural decisions and implementation across the Presence platform
- Design and build backend systems for reliable, high-volume agent workflows in support, sales, and other enterprise use cases
- Develop platform capabilities that support agent development and learning from real-world use
- Identify and address reliability bottlenecks as agent workflows become more complex and usage grows
- Work across backend infrastructure and product experiences as needed, collaborating with other engineers to turn evolving requirements into working software
You'll bring deep backend expertise and strong product judgment to connect what the team builds with how businesses use it. The role requires balancing delivery speed, reliability, security, and long-term maintainability while maintaining hands-on involvement in complex systems.
REQUIREMENTS:
- 9+ years of professional engineering experience (excluding internships) in backend, platform, or product engineering roles
- Track record of hands-on technical leadership, including setting architecture, breaking complex problems into clear implementation plans, and guiding engineers through delivery
- Deep backend engineering and systems design skills, with proficiency in at least one backend programming language and experience designing services, data models, and interfaces that remain reliable as usage grows
- End-to-end ownership of complex systems or product capabilities, from ambiguous requirements and technical design through implementation, launch, and production iteration
- Strong production engineering judgment: ability to diagnose difficult failures, reason about performance and scalability, and improve reliability through testing, observability, and operational discipline
- Strong product judgment that connects technical decisions to user needs
- Ability to move between backend infrastructure and product experiences, contribute across the stack when needed, and quickly learn unfamiliar systems, tools, and domains
- Clear technical communication and effective collaboration across disciplines
- Experience with AI agents, enterprise workflows, integrations, or agent development and evaluation is a plus but not required
