What You'll Do

Ship end-to-end growth features across onboarding, referral, and market discovery flows, from spec to production to measurement.
Build and maintain core growth surfaces including leaderboards, referral code systems, invite flows, and social share mechanics.
Partner with marketing to take half-formed GTM asks and turn them into clearly scoped, buildable features, pushing back when the idea won't move the right metric.
Instrument every feature you ship with proper event tracking and funnel analytics so you always know whether it worked.
Run A/B experiments, analyze results with appropriate statistical rigor, and make the call to kill, iterate, or scale.
Identify drop-off points in acquisition and activation funnels using product data and propose the next set of bets.
Move fast and make smart tradeoffs. A referral MVP does not need the architecture of the matching engine.

What We're Looking For

Proven track record shipping production growth features end-to-end, referrals, onboarding, virality loops, or similar, with minimal oversight.
Strong enough full-stack skills to build independently across frontend and backend without waiting on other engineers.
Comfortable working directly with marketing or GTM stakeholders, translating ambiguous requests into scoped engineering work.
Fluency in experimentation, including A/B testing, event instrumentation, funnel analysis, and interpreting results correctly.
Good product instincts. You should be able to look at a growth loop and have a real opinion on what's broken and what to build next.
Experience making deliberate speed versus quality tradeoffs. You know when to ship scrappy and when technical shortcuts will cost you later.
(Plus) Experience at a crypto or web3 product company.
(Plus) Familiarity with prediction markets or financial products.
(Plus) Background in consumer growth at a high-scale startup.