Product Builder, Growth

Role

This is a hands-on builder role focused on driving new user and activity growth for a two-sided marketplace. You will own the seller submission funnel, buyer search and discovery, and the experimentation harness end-to-end: find drop-offs, write and ship code, run experiments, read results, and iterate.

Key Responsibilities

• Own submission funnel end-to-end in code: onboarding, Snap to Sell, quote acceptance, vault intake, resubmission, and activation of dormant sellers.
• Own search, discovery, and buyer conversion: ranking, filtering, recommendations, and integrating real-time Alt Value pricing context into ranking code.
• Build and operate an experimentation harness: assignment, exposure logging, guardrails, readouts, and decision rules wired to the warehouse to enable fast, trustworthy tests.
• Monitor marketplace liquidity and supply-demand balance; build product interventions to fix imbalances by category, price tier, and seller segment.
• Ship model-driven solutions (e.g., dealer reactivation models, model-driven ranking) and operationalize them rather than running manual campaigns.
• Collaborate closely with Engineering, Design, Data, Lifecycle, and Ops; report directly to the CEO and communicate trade-offs and prioritization clearly.

How You’ll Use AI

• Build agents, agent-driven experiment readouts, and model-driven ranking or reactivation systems (e.g., agents that pull tests, check guardrails, and write ship-or-kill recommendations).
• Implement MCP-style servers over analytics (PostHog) and the warehouse to make investigative queries and flows conversational and actionable.
• Prototype and ship flows using tools like Claude Code or vibe-coding tools and productionize the versions that work.

What Great Looks Like (6 months)

• Shipping to production within weeks and being fully integrated into the team’s code review flow.
• Measurable weekly submission volume growth driven by shipped changes.
• An experimentation harness supporting multiple concurrent, trusted tests and enabling quick decisions.
• Improved Snap to Sell activation and search-to-bid conversion driven by improvements you built.
• Dealer reactivation running as a model decision rather than manual outreach.
• A concise, living prioritization plan used by Engineering, Data, and leadership.

Requirements

• Proven track record shipping production code and owning PRs and on-call consequences; full-stack enough to deliver frontend flows, APIs, queries, and jobs.
• Experience owning and moving growth metrics for a funnel, marketplace surface, or PLG motion (the posting references roughly 5+ years of building experience, assessed by work rather than years alone).
• Strong data fluency: ability to pull your own numbers and build instrumentation (SQL and Python explicitly mentioned).
• Experimentation experience: design tests, set decision rules ahead of time, and make calls on partial data.
• Deep understanding of two-sided marketplace dynamics, liquidity, supply and demand trade-offs.
• Experience building with AI: agents, skills, MCP servers, connectors, or internal tooling that teams depend on.
• High ownership, scrappiness, clear communication, and comfort operating without detailed requirements or traditional handoffs.

Interview Process (summary)

1. Recruiter screen (30 minutes) via Google Meet.
2. Hiring manager with CEO (30–45 minutes).
3. Team interviews (two 45-minute sessions) with engineers and data partners.
4. Build walkthrough (45–60 minutes): present a repo/PR/tool/agent you built.
5. Executive interview (30 minutes).
6. Reference checks (15 minutes).

Compensation & Benefits

• Compensation Range: $200,000 - $250,000
• Medical, dental, and vision: company covers 85% (up to 50% for dependents)
• HSA/FSA available
• Flexible PTO
• Parental leave at full salary
• $200/month wellness stipend and $100/month home office stipend
• Free DoorDash membership
• Remote-first with WeWork access
• 401(k)
• Equity (Alt equity) for full-time employees