AI Product Builder (Martech)

Job description

**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. This role **REQUIRES** practical knowledge of performance marketing or track record in MarTech SaaS. You'll be a great fit for the role if you are a User Acquisition expert, experienced in building own AI products, or Product Manager (technical) from MarTech SaaS – this role is a perfect fit for you. **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. **PLEASE NOTE:** If you DO NOT have proven experience in performance marketing (or haven't worked with martech products) and/or you haven't worked in B2B MarTech SaaS, we will not be able to consider your application. **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** 1. **Inspiring Mission:** Help users live longer, healthier lives through innovative products. 2. **Impact:** Directly influence company growth with minimal bureaucracy. 3. **Attractive Compensation:** Competitive salary and comprehensive benefits package. 4. **Work-Life Balance:** Flexible working hours. 5. **Professional Development:** Tuition reimbursement. 6. **Remote Work:** Fully remote, with a preference for candidates within ±2 hours of CET. 7. **Benefits:** Health insurance, gym membership reimbursement, home office support. 8. **A profitable company.** 8 years old, no runway anxiety. Your bets are judged on results, not on the next round.