Note: The job is a remote job and is open to candidates in USA. Alt is a platform for buying, selling, vaulting, and financing alternative assets, beginning with the trading-card market. The Product Builder, Growth role owns user growth across seller submissions, buyer search and discovery, experimentation, marketplace liquidity, and AI-driven reactivation, while personally building, shipping, and analyzing product changes.
Responsibilities
- The submission funnel, end to end, in code. From a seller's first submission to a high-frequency, high-value one. Find the drop-offs across onboarding, Snap to Sell, quote acceptance, vault intake, and resubmission, then ship the fixes yourself. Build the experiences that activate dormant sellers and raise dealer submission frequency without anyone having to send a message
- Search, discovery, and buyer conversion. Search quality, card discovery, and browse across the platform. Move search-to-bid through ranking, filtering, recommendations, and real-time Alt Value pricing context. You'll be in the ranking code, not describing it. Right card, right buyer, right moment
- The experimentation harness. Build it, don't request it. Assignment, exposure logging, guardrails, readouts, and decision rules, wired to the warehouse and fast enough that a test is a Tuesday decision. Then run high-velocity tests on it across onboarding, activation, search, and submission, and leave behind a compounding library of what we learned
- Marketplace liquidity and supply-demand balance. Watch submission volume, listing rate, bid depth, and sell-through. Find the imbalances by card category, price tier, and seller segment, then build the product that fixes them. Use Alt Value as a growth lever: surface the market signal that makes someone act
- The bets and the trade-offs. A short quarterly plan tied to submission volume, buyer conversion, and time-to-liquidity, and a weekly record of what actually shipped. Work shoulder to shoulder with Engineering, Design, Data, Lifecycle, and Ops. Operate on the funnel detail and the experiment result, and on which bets we're making and why. Communicate the trade-offs to the CEO plainly
- Build the experiment readout as an agent: it pulls the test, checks the guardrail metrics, flags the confound, and writes the ship-or-kill recommendation you then argue with
- Run model-driven ranking and relevance experiments on search, using Alt Value and behavioural signal to decide what surfaces, measured against search-to-bid rather than click-through
- Make dealer reactivation a model decision, not a campaign: which seller, which trigger, which cards, what timing, drafted and personalized without a human in the loop
- Put an MCP server over PostHog and the warehouse so "where did first-submission activation break last week, by segment" is a question you ask in a sentence
- Build the flow yourself in Claude Code or a vibe-coding tool, put it in front of a real dealer, and ship the version that survives that
Skills
- You ship production code. Not "technical." Not "I can read code." You open the pull request, you take the review, you own the on-call consequence. Full-stack enough to move through a growth surface without a handoff: the frontend flow, the API, the query, the job
- You've owned a growth surface, marketplace funnel, or PLG motion and moved the number on it. Roughly 5+ years of building, but we're reading the work, not the years
- You own a number today and can name it, its baseline, and where you took it, on the first ask
- Strong data fluency. SQL and Python, plus PostHog, Amplitude, Mixpanel, Statsig, Eppo, or similar. You pull your own numbers and you've built the instrumentation behind them
- Experimentation in your hands, not on your résumé. You've designed the test, set the decision rule before it ran, and made the call on partial data
- Deep understanding of two-sided marketplace dynamics. Supply and demand, liquidity, and what happens to one side when you push the other
- You've built real things with AI, not just used it. Agents, skills, MCP servers, connectors, internal tooling people depend on
- Scrappy and high-ownership. You communicate with precision, you move without hand-holding, and you go find the problem rather than waiting for the brief
Benefits
- Equity for all full-time employees
- For full-time Employees: We cover 85% of your medical, dental, and vision, and up to 50% for dependents.
- HSA/FSA available
- Generous PTO that people actually take
- Parental leave at full salary
- $200/month wellness stipend
- $100/month home office stipend
- Free DoorDash Pass membership
- Remote-first (for most positions), with WeWork access when you want a room with other humans
- 401(k)
- Alt Equity to all full-time employees
Company Overview