Product Manager, Supplier Growth

**Taivo** At Taivo, we’re bringing together the industry’s leading technology solutions to power the businesses behind branded merchandise. Our trusted products—including OrderMyGear, OneSource, Printavo, GraphicsFlow, and Clarity—help distributors, decorators, printers, sign shops, suppliers, and team dealers manage and grow their businesses. By connecting these solutions in one ecosystem, we’re building a better way for the industry to work, grow, and deliver exceptional experiences to their customers.

**Product Management @ Taivo** You will own how supplier products get found, chosen, and promoted across Taivo. That starts with search and ranking inside OneSource and the supplier-facing promotion tools that sit on top of it. This is a product manager role inside an established product. The strategy and the first initiative are set. You will turn that initiative into a roadmap of well-framed problems, lead a cross-functional squad to ship them, and prove with data that they worked.

You will report to the Director of Product for our Supplier domain and partner closely with other product managers, design, engineering, and our go-to-market teams.

**The OneSource Solution** OneSource is our supplier product platform. Suppliers publish their catalogs once. That data then powers product search across our tools for presentations, online stores, and quotes, along with the industry-standard APIs that other systems pull from. Today our ecosystem sees millions of product searches a month, and suppliers already pay for visibility in it.

**A Day in the Life**

• Own the roadmap for supplier search and promotion. Translate the initiative into a prioritized set of epics, each with a clear problem, a target user, and a success metric defined before anything gets built. Explain the “why” of every epic to your squad and stakeholders.
• Build a new promotion experience, end to end. Design how suppliers buy, target, and manage promotion; how placements appear to the clients searching for products; and how results get reported back. Prototype early, test with real users, and ship in slices that teach you something.
• Protect search quality while you monetize it. Set the bar for how much promotion a surface can carry and what “relevant” means for a paid result. When short-term revenue and buyer trust pull against each other, bring a recommendation grounded in data and make the call at the squad level, escalating when needed.
• Prove the return. Define the measurement model for promotion (what counts as an impression, a click, an attributed order) and get it instrumented. Lead updates with the metric and its movement, not the feature you shipped. Be relentless about getting the data a decision needs rather than settling for “I didn’t have access.”
• Run continuous discovery. Keep a standing cadence of conversations with suppliers who advertise and with the distributors and store owners whose search experience you protect. Interview for actual past behavior, not opinions about features, and turn what you learn into decisions the team can act on.
• Lead the squad. Own the “what” for a cross-functional team of engineers and designers; partner with them on the “how” and “when.” Manage the backlog for predictability, balance roadmap work against bugs and unplanned requests, and say no to good ideas that do not serve the goal.
• Ship AI where it earns its place. Apply generative AI and machine learning as appropriate to the use cases. You will shape how models and heuristics are used in the product, define how we evaluate quality, and decide where a human stays in the loop.
• Launch well. Partner with marketing, sales, and support on release plans, supplier-facing messaging, and feedback loops. Keep executives and stakeholders informed on progress, changes, and risks, and escalate early when something is not working.

**Must-Haves**

• A builder who has shipped. You have taken a new capability from problem to production inside an existing product, more than once. You prototype yourself (we use tools like Claude Code and v0) and test with users to validate problems and assumptions; you would rather put a rough version in front of a user this week than a polished spec next month; and you read API documentation and test endpoints.
• Shipped AI into production. You have delivered at least one feature where an AI model (ranking, relevance, recommendations, classification, or generation) was part of the…