Product Manager, Supplier Growth

Taivo is hiring a Product Manager to own supplier search and promotion across its OneSource platform. The role turns an established initiative into a roadmap, leads a cross-functional squad to build and launch promotion experiences, and measures their impact while protecting search quality and buyer trust.

Responsibilities:

• 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

Requirements:

• 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
• You have delivered at least one feature where an AI model (ranking, relevance, recommendations, classification, or generation) was part of the product
• You know how to define quality for it, how to evaluate it before and after launch, determine where it fails, and iterate
• You have worked on how one group finds, chooses, or pays to reach another: search and relevance, sponsored products or retail media, listings and placements, recommendations, or promotions
• You understand the trust tension in pay-for-placement products and have managed it
• You maintain a regular cadence with customers rather than running research as a phase
• You can describe a decision that changed because of something you heard, or data analysis that you conducted
• You define the success metric before you build and instrument the work to be measurable
• You can tell when a number proves something and when it only looks good
• You understand basic statistics and use that when looking at data and dashboards
• You are comfortable in the details with engineers: how data connects across systems, how an action gets attributed to a result, how APIs and integrations work
• You do not need to be an engineer, but you have strong data capabilities that allow you to pull and analyze data (SQL, Excel/Google Sheets, product analytics, and BI tools)
• You build a working map of a new industry fast: how money flows, who the alternatives are, where our products sit, what customers do today when our product is not in the picture
• You build trust with a new team and with peers whose scope borders yours
• You hold strong opinions loosely, and you can push back on engineering, design, go-to-market, or leadership with evidence rather than volume
• 4+ years in product management, with at least 2 years on a product where you owned a roadmap and led a squad
• We will consider candidates with 3 years in product management
• Experience in B2B, B2C, or B2B2C software
• Comfortable working in a remote team and in the US time zones we operate in
• Candidates must be physically located and legally authorized to work in one of the following states: AZ, AR, CA, CO, CT, FL, GA, IL, IN, KS, ME, MI, MN, MO, MT, NV, NH, NC, OH, OK, OR, PA, SC, TN, TX, UT, VA, WA, and WI
• Catalog, e-commerce, marketplace-adjacent, or vertical SaaS backgrounds translate well
• Branded merchandise experience is not expected, but would be a big plus
• Bachelor's degree in computer science, engineering, business, or a quantitative field preferred; equivalent experience welcome