User Advocate: Build a strong, evidence-based point of view on how customers and end users engage with the platform and what they need to succeed, through direct research and ongoing product ownership.
Research & Planning: Conduct qualitative and quantitative research (user interviews, surveys, data analysis, using AI tools to accelerate synthesis) to inform the roadmap, feature backlog, and product documentation, including user stories, flows, specs, and test plans.
Delivery: Partner with design leads and tech leads, participate in running sprints, and hit delivery timelines, contributing to a high-functioning team culture around strong execution.
Results Measurement: Use analytics to track feature performance against benchmarks and business goals, and translate insights into roadmap decisions.
Technical & AI Leadership: Identify where AI and machine learning can meaningfully improve the product or the team's own ways of working, introduce new AI tools and workflows, and create opportunities for teammates to share practices and build fluency together.
Strategic Partnership: Help shape where AI capability fits into the broader platform roadmap, and operate as a strategic partner to engineering and leadership, not just an execution arm, translating technical tradeoffs into business terms.
Qualification
5+ years in product managementExperience working with largeStrong research aptitudeFast learnerSelf-drivenData-driven
Required
Experience with marketplace platforms and/or B2B enterprise software
Comfortable breaking down ambiguous problems, building systems, and shipping without heavy process scaffolding.
5+ years in product management, with strong data-driven prioritization, systems thinking, structured problem solving, and roadmap development, including at least one successful product launch at a growth-stage startup.
Technical fluency and a demonstrated ability to work effectively with strong engineering teams.
2+ years of hands-on experience designing, shipping, or iterating on AI or ML-powered product features, with a clear point of view on when AI is, and isn't, the right solution to a problem.
Fluency using AI tools in your own workflow — such as research synthesis, spec writing, prototyping, and data analysis — and enthusiasm for sharing effective practices and helping teammates experiment with and adopt these tools.
Experience working with large, strategic, or enterprise-level partners (e.g., corporate funders, foundations), and comfort presenting product strategy and tradeoffs directly to executive stakeholders.
Experience running agile sprints and experimenting with lightweight, fit-for-purpose processes to improve team velocity and collaboration.
Strong research aptitude, qualitative and quantitative, with hands-on experience in tools like SQL, PostHog, FullStory, or Google Analytics.
Fast learner, comfortable picking up new tools and systems quickly, with a track record of executing in fast-paced environments.
Self-driven: You are a motivated self-starter who navigates ambiguity with ownership. You define work clearly, proactively resolve roadblocks, and follow through to ensure projects are delivered successfully.
Data-driven: You make decisions backed by qualitative and quantitative research. You extract insights, challenge assumptions, and synthesize user feedback to drive actionable outcomes.
