JOB SUMMARY

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.

ESSENTIAL JOB DUTIES AND RESPONSIBILITIES

Driving Outcomes

• 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.
• Propose a prioritized GTM plan for buyer-facing features, aligned to the broader product roadmap.

Customer Understanding

• Develop a deep understanding of B-Stock's buyer segments — who they are, how they shop, and what drives repeat platform engagement.
• 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.
• 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.

Analytical Rigor

• 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.
• 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.
• 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.
• 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.
• Track post-launch performance for every feature GTM; surface insights back to Product and Analytics with clear recommendations.

Prioritizing Culture

• Attend sprint reviews and product forums; build trust with Product and Engineering partners.
• 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.
• 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.

MINIMUM QUALIFICATIONS, JOB SKILLS, ABILITIES

• 4+ years in product marketing, growth marketing, or a related field, ideally in B2B marketplace, SaaS, or e-commerce
• Track record of launching product features and driving measurable adoption — defining metrics, owning GTM, reporting on results
• Strong data fluency — generating hypotheses, structuring analysis, making evidence-based decisions
• Cross-functional experience with Product and Engineering in an agile environment; able to build trust and influence without formal authority
• Experience briefing a lifecycle, CRM, or demand-gen team on product-driven campaigns
• Excellent written communication — translating complex platform behavior into clear buyer-facing and internal messaging
• High ownership orientation — proactively identifies problems rather than waiting to be directed
• Practical, hands-on experience applying replicable AI frameworks/processes within product marketing

PREFERRED QUALIFICATIONS

• Experience working directly with Analytics or Data teams
• Familiarity with tools such as Salesforce, Amplitude, Jira, Braze, or similar CRM/analytics platforms
• Experience with landing page optimization or conversion rate experimentation
• Exposure to SEO/AEO content strategy as it relates to product discovery
• Background in marketplace businesses, recommerce, wholesale, or supply chain-adjacent industries

The pay rate for this role will range between $110,000 to $150,000, per annum. We consider many factors when determining salary offers, such as the applicant’s work experience, education and training, skills, market data, and internal equity.