Senior Product Manager

B-Stock•San Mateo, CA

About The Position

We are looking for an experienced Senior Product Manager to join B-Stock. This role spans the full breadth of our platform — seller operations, buyer experience, marketplace mechanics, and the infrastructure that connects them. You will work directly with engineering, design, operations, and client teams to ship features that move real metrics for our sellers and buyers. We are hiring for high agency and sharp product instincts first. Domain fluency matters less than the ability to develop it fast. The ideal candidate uses AI as a core part of how they work — to move faster, think more rigorously, and own more surface area than a traditional PM could. If you thrive in ambiguous environments, communicate directly, and treat shipping as the beginning rather than the end of the job, this role is for you.

Requirements

Experience: 5+ years of product management experience, preferably within a B2B, SaaS, marketplace, or e-commerce environment
Education: BA/BS/MS degree in Business, Computer Science, Engineering, or a related field
Track record: Demonstrated history of shipping features with measurable business impact across varied product domains
Tools: Proficiency in product management and collaboration tools; comfort working with technical documentation and engaging directly with engineering teams
High agency: You take ownership, move without being told, and push for excellence — you're not waiting for a roadmap to be handed to you.
Problem framing: Strong ability to define the right problem before jumping to solutions; knows how to separate symptoms from root causes.
Technical fluency: Able to read API documentation, understand system architecture tradeoffs, and hold credible conversations with engineering.
Data-driven mindset: Proficiency in defining KPIs, analyzing product data, and using insights to drive prioritization and evaluate outcomes.
Requirements definition: Strong ability to write detailed PRDs and manage technical backlogs with minimal oversight.
Customer obsession: Genuine curiosity about the people you build for — sellers and buyers — and a disciplined habit of validating assumptions before committing to build.
Communication: Excellent written and verbal communication for PRDs, stakeholder updates, and cross-functional alignment.
AI fluency: Uses AI tools — including Claude and Claude Code — as a core part of how they work, not a novelty; this means faster research synthesis, sharper PRDs, rapid prototyping, and the ability to carry more product surface area than a traditional PM.
Independence: Can work autonomously within a strategic framework, make sound product decisions, and deliver results consistently.

Nice To Haves

Experience with B2B marketplace, auction, or re-commerce platforms
Background working across multiple product domains within a single company — seller tools, buyer experience, platform infrastructure, or similar
Familiarity with enterprise client dynamics and the product considerations that come with managing large, complex accounts
Exposure to logistics, payments, or operational workflows in a product context
History of improving adoption metrics and user conversion through deliberate post-launch iteration
Experience supporting platform migrations or large-scale feature rollouts
Familiarity with agile development processes and continuous delivery

Responsibilities

Drive product execution: Own discovery, prioritization, and delivery across multiple product areas simultaneously — from defining the problem through launch and iteration; AI enables you to carry more scope, and we expect you to.
Define requirements: Translate business goals and user needs into clear PRDs, user stories, and acceptance criteria that engineering and design can execute with confidence.
Own your outcomes: Define success before you build, track it rigorously after launch, and treat adoption and user conversion as your responsibility — not something that happens automatically after shipping.
Drive adoption: Take ownership of feature adoption and user conversion to new solutions; shipping is the beginning, not the end.
Partner cross-functionally: Work effectively with engineering, design, operations, account management, and client teams to align on priorities and remove blockers.
Support enterprise clients: Collaborate with account management and operations to translate client needs into product requirements and manage expectations through delivery.
Communicate directly: Articulate product strategy, tradeoffs, and progress clearly and concisely to stakeholders at all levels — from engineering stand-ups to leadership reviews; no hedging, no ambiguity.
Prototype and validate fast: Use AI tools to accelerate research synthesis, rapid prototyping, and hypothesis testing — reducing the time between idea and validated signal.
Develop domain fluency: Quickly build working knowledge of the product areas you own and the users who depend on them.
Stay current: Actively track product best practices, AI tooling developments, and industry trends — and bring what you learn back to how the team works.