AI Product Manager, Agents & Orchestration

Role overview Lead product direction for the runtime and orchestration layer behind production AI agents. You’ll define how agents plan work, use tools and shared memory, coordinate across a customer journey, and involve people when needed, then turn those capabilities into a platform other teams and customers can configure.

Responsibilities - Own runtime capabilities such as planning, tool use, memory access, safety controls, and levels of human oversight. - Design coordination patterns for agents that hand work across customer-facing stages, share account context, and resolve competing actions. - Turn repeatable go-to-market workflows into configurable plays with triggers, steps, agent assignments, and human checkpoints. - Build an evaluation system for agent quality, choose measurable release criteria, and track results over time. - Define APIs, configuration tools, and administrative experiences for teams building and tuning agents, including enterprise-specific adaptations. - Partner with research and engineering on a weekly delivery cycle; involve customer-facing teams in release preparation. - Write implementation-ready specifications and prototype ideas before formalizing them.

Requirements - At least five years in product management, including two or more years shipping LLM-based agents to production users. - Practical understanding of tool calling, planning, retrieval and memory, agent handoffs, and common failure modes. - Experience building or owning an evaluation harness and using measured results to gate releases. - Ability to specify data models, state machines, and APIs, and explain the tradeoffs. - Comfort making decisions with incomplete information and iterating on production releases quickly. - Clear, concise writing for product specifications, evaluation reports, and cross-functional communication.

Nice to have - Experience with supervised fine-tuning, preference optimization, reinforcement learning, or tenant-specific model adapters. - Work on voice or real-time conversational systems, workflow platforms, or enterprise administration and permissions. - Go-to-market or customer success experience, or a background building products for those teams.

Benefits and work setup Fully remote within the United States. The listed base salary range is $185,000–$260,000, with stock options and company-paid benefits; final compensation depends on experience and location.