AI Product Builder

TL;DR Formula grows through performance marketing, and the marketing stack behind that growth is built in-house. You’ll find the Marketing and Growth problems worth solving and take them to working products, from the first team interview to production. Who We’re Looking For
• Someone who has worked inside marketing: ad platforms, creatives, funnels and attribution are familiar, and you understand why hourly campaign optimization matters.
• A product person who speaks in problems and outcomes, not shipped features. You frame every roadmap item as a bet on a metric and can name the metric behind your last three launches and what it did. You kill features. You talk about money as easily as about UX.
• An AI builder, self-directed. You have built something alone in the last six months with Claude Code, Cursor or LLM APIs, and it is in use. A v0 takes you hours, not sprints.
• Data fluency. You pull your own numbers (SQL, Amplitude or similar), read a retention curve, design a clean experiment, and know noise from signal. What You’ll Be Doing
• Proactively identify and implement new martech solutions before they become bottlenecks — shaping the long-term vision of the domain and driving technical and product priorities.
• Learn how the marketing and growth teams actually work and find the bottlenecks they haven’t named yet.
• Choose how each problem gets solved — build it with AI, buy it, integrate it, or change the workflow — and define the MVP and the success metric before the first line of code.
• Scale what marketing can do without scaling the team: automate the operations that cap how many tests, creatives and campaigns we can run, and measure the effect in hours saved and ad performance gained.
• Connect the pieces into a pipeline — research → creative production → launch → optimization — replacing manual hand-offs with automation.
• Own what you ship after launch: adoption by the teams, reliability in production, iteration on real usage. Must Have
• Practical martech, performance or growth marketing experience; you’ve worked with ad platforms and their APIs.
• Product experience in Marketing B2B SaaS or in-house martech teams: validated problems, measured impact.
• 5+ years in product and/or engineering, with hands-on experience building production services.
• Daily use of AI-assisted coding (Claude Code, Cursor, Codex or similar) to ship solutions, not just prototypes.
• Full-cycle autonomy: discovery → design → build → launch → measure, with minimal direction. Nice to Have
• Experience at mobile app publishers (consumer subscriptions with high-volume user acquisition).
• Meta Marketing API and Google Ads API.
• LLM pipelines on data: classification, tagging, enrichment.
• Node.js/TypeScript or Python; deployment on Railway or similar.

What We Offer
• Inspiring Mission: Help users live longer, healthier lives through innovative products.
• Impact: Directly influence company growth with minimal bureaucracy.
• Attractive Compensation: Competitive salary and comprehensive benefits package.
• Work-Life Balance: Flexible

working hours
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• Professional Development: Tuition reimbursement.
• Remote Work: Fully remote, with a preference for candidates within ±2 hours of CET.
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Benefits:
Health insurance, gym membership reimbursement, home office support.
• A profitable company. 8 years old, no runway anxiety. Your bets are judged on results, not on the next round.