Product Manager

Own your domain from fuzzy to growth. Take an ambiguous problem space through discovery, definition, build, launch, adoption, and revenue. You are responsible for the outcome.

Get onsite, constantly. Distributors work in warehouses and on sales floors. Onsite visits, shadowing sessions, and discovery calls are how you learn the domain, and the best calls come from standing next to a rep. Our product people know their users by name.

Run genuinely iterative development with customers in the loop. Think big, ship small, put working software in front of real users early, and let what you learn reset the next cycle. Design the feedback loop deliberately rather than waiting for feedback to arrive.

Build hands-on with engineering, design, and data science to ship features and agentic workflows, and to make sure the surrounding UX lets a user act on what AI surfaces.

Own adoption, not just launch. Run alphas and betas, stay close through the first rollouts, then push adoption across the installed base and watch where it stalls and why.

Enable GTM. Give sales and CS the positioning, proof, and training they need. Join customer and prospect calls, show the product yourself when it helps, and make sure what you built is sellable and supportable without you in the room.

Product and startup experience. At least 2 years managing features end-to-end through the SDLC. Early-stage startup experience (Seed through B or C) is a plus.

Real agile experience, and the judgment to adapt it. You've worked inside traditional scrum, know what those rituals were for, and can run a tight iterative loop with customers rather than a release calendar. You've shipped something incomplete on purpose because it was the fastest way to learn.

Technical and AI collaboration. You've built alongside engineers and data scientists to deploy AI-centric features at scale, and you're fluent enough to hold your own with senior engineers on data models, APIs, and service boundaries.

Daily, hands-on use of AI in your own practice. Claude Code, Cursor, or equivalent, used to ship real work rather than generate artifacts. You can say concretely how you structure context and how you check what comes back.

Customer-facing range. You're as comfortable in a warehouse aisle with a rep as on a call with a VP of Sales, and you can carry a room in front of a prospect. You'd rather be with a user than briefed about them.

Data-driven and adaptive thinking. You make data-driven calls while embracing the uncertainty earlier-stage vertical B2B SaaS brings.

Problem-solving and communication. You navigate complexity, distill the key issue, and communicate clearly to technical and non-technical audiences alike.

Business sense and a continuous improvement mindset. Strong business intuition and a real appetite for innovation, iteration, and AI excellence.

Complex B2B, enterprise, or ERP-adjacent software, with high-frequency users and workflows people can't opt out of.

Agentic products, and the patterns for trust, correction, and handoff between a person and an agent.

Systems-of-record or integrations work. You understand how messy real-world source data becomes a clean, canonical model, and what breaks when it doesn't.