Job description

JOB SUMMARY B-Stock is a managed B2B recommerce marketplace, and its two sides couldn't be more different: enterprise sellers moving returned and excess inventory at scale, and thousands of buyers hunting for value in it. You'll own one part of that machine end to end, whether that's seller operations, buyer experience, logistics, or core platform. When the business's biggest problem moves, you may move with it. The domain changes; the bar doesn't. We're hiring for how fast you build real fluency in something you've never seen and start making sound calls before the picture is complete. Somewhere in your 4+ years of product experience is clear evidence you've done exactly that. We work AI-natively. Engineering ships fast with agentic tooling (Claude Code and similar), and the Product team operates at the same speed: AI is already part of how you research, prototype, and write, with the judgment to know what to delegate and where your own thinking stays in the loop. B-Stock is an office-first company. You will be expected to work on-site three days per week on Tuesday, Wednesday, and Thursday at our office in San Francisco, CA, with Monday and Friday remaining non-office days where you may perform your duties remotely from your residence. We believe having consistent time together helps teams stay connected to the work happening across the business, collaborate in real time, and move ideas and decisions forward more effectively. WHAT YOU'LL DO Own a domain of the marketplace end to end, from framing ambiguous, high-stakes problems to shipped, measured outcomes. Frame problems sharply: separate what you know from what you're assuming, commit to the highest-leverage path, and be explicit about what would prove you wrong. Write PRDs and acceptance criteria engineering can execute in one read. Own the metric, not just the launch: define the KPI, ship, and stay on it until it moves. Collaborate across the org: engineering, design, data, operations, account management, and whatever other teams the problem touches. This role cuts across departments, and you'll pull in the right people wherever the work leads. Communicate outcome first, with tradeoffs and rationale legible without a second meeting. WHAT WE'RE LOOKING FOR The one thing we won't compromise on is range : a track record of stepping into unfamiliar domains and getting effective quickly. Everything below supports it. Decisiveness under uncertainty. You chase down the signal that exists (research, tickets, behavior, conversations), then commit without the signal that doesn't, and stay honest about what would change your mind. Data fluency. You define KPIs, run the analysis yourself, and are comfortable in analytics and experimentation tooling. Technical fluency. You read API docs, reason about architecture tradeoffs, and hold your own with engineers. AI-native habits. AI tooling is already part of how you research, prototype, and ship. A plus, not the point: B2B marketplace, auction, or two-sided platform experience; shipping AI/ML into customer-facing products; operations or logistics product work; time in scrappy 0-to-1 environments. WHAT SUCCESS LOOKS LIKE? Six months in, you've ramped into a part of the marketplace you'd never touched, shipped, and moved the metric. Whatever the hardest, least-defined problem is next, in your domain or a new one, leadership hands it to you knowing it's in good hands. And you find the work itself fascinating; the best people in this seat always do. The pay rate for this role will range between $160,000 to $170,000, 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. EMPLOYEE BENEFITS Competitive compensation packages, including bonus and options Medical, Dental, and Vision benefits Paid Time Off, telecommuting, and matching 401(K) Support for continuing education Team offsites, social events, and extracurricular activities are a staple Snacks, drinks, and the occasional box of donuts THE COMPANY B-Stock is the world's largest B2B re-commerce platform, connecting sellers and buyers of returned, trade-in, and overstock inventory. Our customers range from today’s top brands and retailers that want best-in-class inventory resale management to tens of thousands of entrepreneurs looking to purchase valuable merchandise for their resale businesses. While the amount of returned and overstock inventory continues to grow, there is also growing pressure on retailers and consumers to adopt a more circular economy and keep products in use as long as possible. Accordingly, the need for re-commerce solutions - to find products a second life - has never been greater! At B-Stock we’re proud to play a large part in powering resale, reuse, and the circular economy through our platform: annually we sell over 130 million items across all categories and conditions, equating to 400 million pounds of inventory. We believe there is tremendous value in and demand for this inventory - no matter the category, condition, or location. With hundreds of thousands transactions completed annually, B-Stock gives buyers a simple and direct way to buy valuable products directly from retailers and offers sellers a technology-driven replacement for traditional resale methods, while boosting operational efficiency, recovery rates, and cycle time. Led by eBay veterans and backed by top investors including Spectrum Equity, True Ventures, and Susquehanna Growth Equity, B-Stock shows no signs of slowing down. Our core values have shaped the company we are today and will continue to drive our success for many years to come. For more information, visit bstock.com/careers/ OUR VALUES Make Each Dollar Count Whether it’s the recovery amount or a buyer’s budget, money matters to all of our clients. And because each dollar matters to them, it matters to us. Take Our Work Seriously, Not Ourselves Everything at B-Stock continues to grow - everything but our egos, that is. We’re not afraid to let loose and laugh (often at ourselves). Do The Hard Things Today That Will Pay Off Tomorrow We’re willing to sacrifice and endure, fail and adapt to reach our long-term goals. Use Trust As The Best Measure Of Success The trust we earn along the way is more valuable than money. Without trust from both our buyers and sellers, our business won’t succeed. Find Strength In Numbers Use our passion for data to provide value to our customers, improve ourselves, and develop new ways to delight our buyers and sellers. No applicant will face discrimination/harassment based on race, color, ancestry, national origin, religion, age, gender, marital domestic partner status, sexual orientation, gender identity, disability status, or veteran status. Above and beyond discrimination/harassment based on “protected categories,” B-Stock also strives to prevent other, subtler forms of inappropriate behavior (e.g., stereotyping) from ever gaining a foothold in our office. Whether blatant or hidden, barriers to success have no place at B-Stock. Work Authorization required.

Requirements

Must-haves

Own a domain of the marketplace end to end, from framing ambiguous, high-stakes problems to shipped, measured outcomes.
Frame problems sharply: separate what you know from what you're assuming, commit to the highest-leverage path, and be explicit about what would prove you wrong.
Write PRDs and acceptance criteria engineering can execute in one read.
Own the metric, not just the launch: define the KPI, ship, and stay on it until it moves.
Communicate outcome first, with tradeoffs and rationale legible without a second meeting.
The one thing we won't compromise on is range : a track record of stepping into unfamiliar domains and getting effective quickly. Everything below supports it.
Decisiveness under uncertainty. You chase down the signal that exists (research, tickets, behavior, conversations), then commit without the signal that doesn't, and stay honest about what would change your mind.
Data fluency. You define KPIs, run the analysis yourself, and are comfortable in analytics and experimentation tooling.
Technical fluency. You read API docs, reason about architecture tradeoffs, and hold your own with engineers.
AI-native habits. AI tooling is already part of how you research, prototype, and ship.
WHAT SUCCESS LOOKS LIKE?
Support for continuing education
Team offsites, social events, and extracurricular activities are a staple
Snacks, drinks, and the occasional box of donuts
Take Our Work Seriously, Not Ourselves Everything at B-Stock continues to grow - everything but our egos, that is. We’re not afraid to let loose and laugh (often at ourselves).
Do The Hard Things Today That Will Pay Off Tomorrow We’re willing to sacrifice and endure, fail and adapt to reach our long-term goals.
Use Trust As The Best Measure Of Success The trust we earn along the way is more valuable than money. Without trust from both our buyers and sellers, our business won’t succeed.

Nice-to-haves

A plus, not the point: B2B marketplace, auction, or two-sided platform experience; shipping AI/ML into customer-facing products; operations or logistics product work; time in scrappy 0-to-1 environments.
Competitive compensation packages, including bonus and options

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aiapiml

Platform: greenhouse
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision

401(K)

Paid Time Off