AI Product Builder (Martech)

Formula (formerly Fjor); Netherlands; Remote; EUR 70.000 - 110.000; Vollzeit

Benefits dieser Stelle

Tuition reimbursement

Health insurance

Home office support

Flexible working hours

Fully remote with CET overlap

Zusammenfassung

Formula is expanding its marketing and growth stack with an AI-driven, data‑driven product approach. You will own martech initiatives, optimize ad platforms, and build production services that move quickly from discovery to measurement.

Expect autonomy, cross‑functional collaboration, and a focus on measurable impact.

Qualifikationen

• Practical martech, performance or growth marketing experience with ad platforms and their APIs.
• Product experience in Marketing B2B SaaS or in-house martech teams with validated problems and measurable 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.
• Full-cycle autonomy: discovery → design → build → launch → measure with minimal direction.

Aufgaben

• Identify and implement new martech solutions, shaping long-term vision.
• Understand how marketing and growth teams work and identify bottlenecks.
• Decide how to solve problems: build with AI, buy, integrate, or change workflows; define MVP and success metric.
• Automate operations to scale testing, creatives, and campaigns; measure hours saved and ad lift.
• Create an end-to-end pipeline: research → creative production → launch → optimization.
• Own adoption, reliability, and iteration after launch.

Kenntnisse

Martech experience

Growth product mindset

AI-assisted coding

SQL / Amplitude

Data-driven decision making

End-to-end ownership

Ausbildung

5+ years in product/engineering

Tools

Meta Marketing API

Google Ads API

Node.js/TypeScript

Python

Jobbeschreibung

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.

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.
• Professional Development: Tuition reimbursement.
• Remote Work: Fully remote, with a preference for candidates within ±2 hours of CET.
• 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.