We're hiring a senior product manager to build the AI agents at the core of the product. It's a hard problem: getting an agent to reliably run a business's back office. It's also what determines how fast we grow, because the stronger these agents become, the more contractors each office manager can serve. This role is a key part of our company's next stage. You'd own that work alongside a small, senior team with deep experience in AI, product, and the trades.

The Role

You'll be an early product hire working alongside our founding PM and co-founder. Where they hold strategy across the whole product, you go deep on the engine that does the work: our AI agents. You own the product question of whether each is genuinely accomplishing the user's goal, and how we know.

This is a senior individual-contributor role built around depth. You'll own one or two agent experiences end to end, working close with engineering, service, sales, and the customer. You'll report to our founding PM, who holds product strategy and prioritization across the whole product. Within your area, you own the roadmap, the craft, and the results, and the closer you get to users, the more your work shapes where we go next.

We're looking for a high-craft PM who wants to be in the weeds on hard problems: shaping how an agent's prompt, tools, and knowledge cohere into one experience, holding a high bar on quality, and building the evals and instrumentation that show whether it works. Crucially, this is product work: you keep the user's goal at the center and treat evals as the instrument, not the job.

This is an AI-native role. You'll shape agentic systems, and you'll lean on AI heavily in your own work. If going deep while keeping the bigger picture in your head sounds like your kind of product work, keep reading.

What You'll Own

Own your workstream end to end. Own and evolve the roadmap for your product area: dependencies, delivery, and the calls to make when priorities shift. Take features from requirements through launch, documentation, and iteration, and keep a clear line of sight to whether they move adoption, retention, and revenue.

Turn ambiguity into product. Translate messy, ambiguous user needs into concrete AI behaviors, workflows, and requirements. Boil complex technical tradeoffs down into product decisions your team can act on.

Stay close to users. Spend real time with our Senior Office Managers and contractor customers. Run discovery that gets past the surface: ask "why" with empathy, listen hard, and let what you learn drive what you build.

Define with engineering. Own the use cases, specs, and tradeoffs for your area. You're in the weeds by preference, not throwing specs over the wall, and you bring real UX instincts for the unstructured, AI-driven workflows this product runs on.

Hold the bar. You have a clear sense of what good looks like, and you keep raising the quality bar in your area. QA here is a partnership with our product-minded engineers, not a gate you stand at, and you help the team ship work everyone's proud of without slowing work down.

Prove it's working. Define success metrics across customer satisfaction, operational efficiency, and agent performance, and drive continuous improvement through data, user feedback, and experimentation. Build the measurement muscle we don't have yet: own the KPIs, stand up the evals and instrumentation, and feed what you learn into the next round.

Who We're Looking For

You have strong product management experience. You've owned products from strategy through launch, and you move easily between big-picture thinking and hands-on execution. You have real product judgment: you make the hard calls on priorities and tradeoffs, you know what to say no to, and you back your decisions with the right amount of data and research. You bring 4-6 years of product management experience.

You go deep while holding the big picture. You can live inside the details of a workstream and still hold the wider product and business in your head. You know which details matter and which don't.

You think in AI. You're curious and creative about what's newly possible, and happy to rethink a user experience from first principles rather than port over how it worked before. You understand LLMs well enough to reason about their limits and tradeoffs, and you can test an LLM pipeline in a structured way using no-code and prototyping tools.

You use AI as core infrastructure. It's woven through how you work: AI helps you get through discovery faster, turn interviews and feedback into first-draft PRDs and specs, and show up to planning with a working prototype instead of a deck - all sharpened by your own judgment. You can say concretely what it's replaced and where it breaks.

You're a strong communicator and collaborator. You get engineering, service, and GTM partners aligned without needing formal authority. You write and speak clearly, tight enough for an exec summary and deep enough for a technical reader, and you run a meeting that's worth people's time. You flag problems early and bring recommendations, not just questions.

You're comfortable where there's no playbook. You're scrappy, at ease building where there's no process yet, and you run independently on light direction. And you know the deal at a small startup: your job is to own your area deeply, but roles blur, and sometimes the highest-leverage move is to step outside your lane, which you're glad to do, without letting the bar slip on what's yours.

You raise the bar. You hold a high standard for craft and quality and can tell genuinely good work from merely fine, which is often in the details others skim past. You lift the standard of the people around you, without becoming precious about polish that doesn't matter.

What Would Make You Exceptional

• A strong eye for UX in web and mobile products, and especially for conversational interfaces (chat or voice), where much of this product lives
• Hands-on experience building LLM-powered products or agents, like prompt, tool, and eval work, even from a side project.
• Experience standing up an evals / measurement or instrumentation practice, or owning analytics in a prior role
• Early- or growth-stage B2B SaaS product management experience; vertical SaaS or SMB tooling a plus
• Familiarity with FSM software (Housecall Pro, ServiceTitan, Jobber) or the HVAC / field-service domain (nice to have, not required; our founding PM and Senior Office Managers hold the domain context, and you bring the technology foresight)