Product Marketing Manager, Buyer

<h3><strong>JOB SUMMARY</strong></h3> <p>This role owns feature adoption and platform engagement for B-Stock's buyer-facing features — ensuring buyers discover, adopt, and deepen engagement with what Product ships. Lifecycle Marketing owns buyer funnel health (acquisition, activation, retention) at a cohort level; Product Growth owns whether buyers find and use the features that make the platform stickier. You'll brief Lifecycle on feature launches; they own channel execution. This role also applies AI to how feature GTM gets built and measured — using AI-assisted analysis to speed hypothesis testing and reporting.</p> <p><strong><br><br></strong><strong>ESSENTIAL JOB DUTIES AND RESPONSIBILITIES</strong></p> <p><em><strong><br>Driving Outcomes</strong></em></p> <ul> <li>Own the GTM strategy and launch execution for buyer-facing features (e.g., saved search, delivery preferences, customer preferences); define adoption metrics upfront and hold yourself accountable for delivering against them.</li> <li>Propose a prioritized GTM plan for buyer-facing features, aligned to the broader product roadmap.<br><br></li> </ul> <p><em><strong>Customer Understanding</strong></em></p> <ul> <li>Develop a deep understanding of B-Stock's buyer segments — who they are, how they shop, and what drives repeat platform engagement. </li> <li>Build and maintain buyer personas that go beyond demographics to capture behavioral patterns and feature usage; use these to sharpen both product positioning and campaign briefs.</li> <li>Brief Lifecycle Marketing on feature launches with clear audience targeting rationale, key messages, and behavioral triggers, so execution through shared channels (including in-app messaging) is accurate.<br><br></li> </ul> <p><em><strong>Analytical Rigor</strong></em></p> <ul> <li>Generate hypotheses about buyer behavior and feature adoption; use those hypotheses to structure a logical analytical approach and identify the data needed to validate or refute them.</li> <li>Partner with Analytics to define shared measurement frameworks: align on definitions (e.g., what counts as 'activated' or 'engaged'), and build visibility into feature adoption metrics. </li> <li>Demonstrate strong quantitative and qualitative judgment in decision-making — you can pull reports, interpret cohort analyses, and make evidence-based recommendations without waiting for someone else to run the numbers.</li> <li>Use AI-assisted tools to accelerate hypothesis generation, cohort analysis, and post-launch reporting for feature GTM, building repeatable analysis workflows so insights reach Product and Analytics faster.</li> <li>Track post-launch performance for every feature GTM; surface insights back to Product and Analytics with clear recommendations.<br><br></li> </ul> <p><em><strong>Prioritizing Culture</strong></em></p> <ul> <li>Attend sprint reviews and product forums; build trust with Product and Engineering partners. </li> <li>Contribute positively to team culture; live B-Stock’s vision and mission in your day-to-day work and help make the whole of the company greater than the sum of its parts.</li> <li>Share behavioral insights from product data with Lifecycle Marketing to improve cohort targeting and retention programs; maintain clear and productive handoffs so both teams can move fast without stepping on each other.</li> </ul> <h4> </h4> <h4><strong>MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES</strong></h4> <ul> <li>