Lead Product Manager, AI Agents

We are seeking a hands-on Lead Product Manager to define and scale AI-powered experiences across a two-sided home services marketplace. As the first dedicated core AI Product Manager, you will own the strategy and roadmap for conversational AI, autonomous agents, and intelligent workflows serving both consumers and service professionals. You will turn AI interactions into meaningful actions, enabling users to book, reschedule, or manage services directly through conversations and existing product experiences. You will also establish the evaluation frameworks, quality standards, and safety guardrails needed to deploy reliable AI at scale. Working across Product, Engineering, Applied Science, Design, Data, Customer Support, and Operations, you will lead through influence in a fast-moving environment. This is a high-impact individual contributor role for someone who enjoys building AI products from the ground up and delivering measurable results to real users.

The ideal candidate is an experienced product leader who has launched AI-powered products used by real customers and understands the complexity of deploying autonomous systems in live environments. You should combine strong product judgment, technical fluency, data-driven prioritization, and a hands-on approach to quality and execution.

• At least 6 years of product management experience, including a minimum of 3 years launching AI products for internal or external users.

• Experience managing consumer-facing products, supported by a bachelor's degree in business, analytics, engineering, design, or a related discipline, or equivalent practical experience.

• Proven track record of launching AI products used by real end users in B2C, B2B, or B2B2C environments.

• Hands-on experience launching and managing production chatbots or conversational AI systems, beyond prototypes, demonstrations, or basic prompt-based implementations.

• Ability to analyze conversation transcripts, identify interaction failures, and translate findings into product improvements.

• Practical experience designing and writing AI evaluations (evals), defining quality benchmarks, and determining whether an AI experience is ready for production.

• Strong understanding of AI agents and tool use, including the implications of allowing AI systems to execute actions within real-world applications and workflows.

• Ability to design appropriate safeguards, permissions, confirmation steps, and error-handling processes for autonomous actions.

• Strong data-driven product strategy skills, with the ability to prioritize initiatives, justify trade-offs, and make decisions based on measurable evidence.

• Systems-thinking mindset, with the ability to anticipate the wider effects of product changes across interconnected users, workflows, pricing, and operations.

• Experience in marketplace products is beneficial, particularly where changes affecting one user group have consequences for another.

• Strong cross-functional collaboration and communication skills, with the ability to lead through influence rather than direct people management.

• Comfort working independently in a lean environment, including building evaluation frameworks and product standards from the ground up.

• Willingness to work hands-on across product strategy, specifications, testing, quality analysis, and execution rather than operating solely at a strategic level.