Senior Technical Product Manager (Agent Runtime)

Join our team as a Senior Technical Product Manager (Agent Runtime). In this role, you will own the agent runtime and the platform that powers our agentic products. You will define the runtime architecture, set non-functional requirements, and lead product evaluations. This is an engineering-facing role that requires a deep understanding of LLM-based systems and agent architectures. You will work closely with engineering, go-to-market, and other cross-functional teams.

• Ownership of the agent runtime and platform that powers agentic products, including defining the runtime architecture and non-functional requirements.
• Leading the creation and execution of product evaluations to ensure agents remain accurate and reliable as they scale and upgrade models.
• Collaborating with engineering teams to translate customer and business needs into technical architecture, and driving the direction of the agent runtime.
• Highly autonomous. You operate with little direction: you find the problems that matter, set the direction, and drive them without waiting to be told
• Entrepreneurial. You treat your area like your own company - scrappy, outcome-obsessed, and comfortable making the call under ambiguity
• A tinkerer. You build to understand - prototypes, prompt chains, quick experiments. You'd rather try it than theorize about it
• A product thinker in an engineer's seat. You don't need to be an auditor, but you love representing the customer and the business problem - and turning that understanding into strong architecture. The technical depth is in service of product value, not an end in itself
• Treats non-functional requirements as a first-class product surface: latency, reliability, scalability, cost, observability
• Hands-on experience creating and running evals that measure and improve agent accuracy and reliability at scale
• Background in distributed systems or infrastructure - you understand how runtimes behave under scale and how a change ripples across the stack
• Deep understanding of LLM-based systems and agent architectures: prompting, tool use, planning, multi-step agent loops, context and memory, multi-agent systems - with enough grasp of retrieval/vector search to judge when it's the right tool
• Can write technical specs that engineers review for feasibility (not correctness) and prototype with code to validate hypotheses; comfortable with architecture trade-offs (latency vs. accuracy, cost vs. capability)
• 4+ years in product management, with 2+ years on technical/platform products (APIs, infrastructure, ML systems, or developer tools)
• Fluency in model operations: model selection and swaps, provider trade-offs, token cost/performance optimization
• Experience in audit, accounting, or financial services (domain context for what the agents do)
• A public point of view on AI/agents - writing, talks, OSS - or the appetite to build one
• Former software engineer, ML engineer, or data scientist who moved into product