Product Builder, Growth

Vibehackers; New York (NY); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Medical, dental, and vision coverage

Remote-first with WeWork access

Equity for full-time employees

401(k)

HSA/FSA

Parental leave at full salary

Wellness stipend

Home office stipend

DoorDash membership

Job summary

Vibehackers seeks a Senior Growth Engineer to own the end-to-end seller submission funnel, buyer search and discovery, and the experimentation infrastructure. You will write code, run fast tests, and use AI-driven flows to improve submission volume and search-to-bid conversion.

You will ship model-driven ranking and dealer reactivation models, collaborate cross-functionally, and report to the CEO with clear prioritization and trade-offs.

Qualifications

• Production-grade code shipping experience
• Ownership of growth funnels and metrics
• Strong data fluency with SQL/Python
• Experience building growth experiments and instrumentation
• Two-sided marketplace expertise is a plus
• Proactive communication and ownership

Responsibilities

• Own seller submission funnel end-to-end in code.
• Own search, discovery, and buyer conversion.
• Build and operate an experimentation harness.
• Monitor liquidity and balance; implement interventions.
• Ship model-driven ranking and reactivation solutions.
• Collaborate with Engineering, Data, Lifecycle, and Ops.

Job description

Uses vibe-coding tools (Claude Code) and builds agents/MCP servers; expects rapid prototyping and shipping of AI-driven flows.

About the Role

Lead growth by owning and shipping the end-to-end seller submission funnel, buyer search/discovery, and the experimentation infrastructure—writing code, running high-velocity tests, and using models/agents to improve submission volume and search-to-bid conversion.

Job Description

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)

• Hiring manager with CEO (30–45 minutes).
• Team interviews (two 45-minute sessions) with engineers and data partners.
• Build walkthrough (45–60 minutes): present a repo/PR/tool/agent you built.
• Executive interview (30 minutes).
• Reference checks (15 minutes).
• 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

SQL Python PostHog Amplitude Mixpanel Statsig Eppo Claude Claude Code MCP server Data warehouse Alt Value

Skills

Growth Engineering Experimentation (A/B testing) Product Development Full-stack Development Data-driven Decision Making Data Instrumentation Marketplace Strategy High Ownership & Autonomy Communication On-call Ownership

Experience Level

Senior

USD 200,000 - 250,000/year

Employment Type

Full-time

• Medical, dental, vision coverage (85% paid; up to 50% for dependents)