Growth Engineer, User Acquisition
Sales & Business Development
San Mateo, CA, USA
USD 140+ / hour
Posted on Sep 10, 2026
We are looking for an exceptional recent graduate or early-career engineer: a highly technical growth hacker who uses data, code, and creativity to move real numbers. You will work directly with the founders across paid acquisition, funnel analytics, monetization, and experimentation. This is an execution role, but not a mechanical one. You will run weekly experiments and kill or scale on evidence. Question weak assumptions, understand why a metric exists, and connect every campaign decision to the larger learning system. Priorities will change as evidence improves; you must be ready to pivot without losing rigor. The weekly measure, kill, or scale loop: at most three arms, reach times effort stated up front, directional gates at low sample sizes, a real lift bar once the data supports it. Small, fast paid tests across Meta, TikTok, Google and Apple Search Ads, from brief to optimization. You read creative on IPM, hook and hold rates, CTR, CPI and ROAS, and kill or scale on the evidence. The cohort, retention and lifetime-value models behind the Loyalist Rate: engaged users across the first 7, 14 and 30 days, with CAC judged against an honest LTV. The subscription funnel from install to trial to paid, wired to local payment rails. AI-native operations: agents draft the briefs, parse the results and build the reports, so you run more experiments per week than the headcount suggests. The measurement stack you build: per-channel dashboards and attribution the whole team runs on, with no one waiting on a report. You will likely have studied engineering, sciences, mathematics, computer science, or a similarly rigorous discipline at a leading university. Equivalent evidence of exceptional ability is equally valuable. Strong first-principles reasoning and real comfort with probability, statistics and funnel math. Technical by default: SQL and spreadsheets in your hands, Python or R to go further. AI-native: agents are already part of how you work, used to test more, not less. Already pulled toward this world: ad experiments you ran, a funnel you took apart, a growth problem you could not put down. An experimentation mindset: you think in hypotheses, samples, confidence and effect sizes. An extreme sense of ownership: hands-on, high execution speed, and willing to do whatever the win needs, even when the evidence forces you to discard the work. Thoughtful about culture, privacy, and the limits of paid persuasion. {'kind': 'prompt', 'intro': 'There is no application form, and no single right answer. This wants a story from having done the work.', 'question': 'A time the cheapest channel was the wrong one, or the expensive one was right. What did you see that cost-per-install missed, and what did you do about it?', 'placeholder': 'Specifics beat theory. Real numbers if you have them.', 'minimum': 140, 'codeWord': 'KILL OR SCALE'}