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We are looking for an AI Product Builder in Madrid: someone for whom thinking, designing, and building are not separate stages, but a single act. Someone who collapses the distance between idea and product until it becomes almost invisible. End-to-end, no intermediaries, no safe havens. You will work directly with the Data leadership and ship real impact from day one.
Job Responsibility:
Own consumer-facing AI products end-to-end: from identifying the opportunity, to designing the experience, to shipping the implementation, to measuring impact
Embed AI across the full consumer flow — discovery, recommendations, conversion, retention, support — using LLMs, agents, and modern AI tooling
Understand our business, our customers, our market, and the data behind our consumer product
Move fast with strong opinions: form a hypothesis, build the smallest thing that proves or kills it, ship, learn, iterate
Build prototypes and production-ready experiences yourself when needed
Define the right metrics, run experiments (A/B tests, offline evals, online evals for AI features), and continuously improve product and model performance
Collaborate with stakeholders across Design, Growth, and the Tech team
Translate broad, ambiguous opportunities into concrete, measurable bets, and make sharp prioritization calls
Help shape the vision and strategy for AI in the consumer product, and bring it to life through what you ship
Requirements:
Bachelor's degree in Engineering, Computer Science, or a related field
3+ years of relevant experience building consumer-facing digital products end-to-end (as a builder, founder, full-stack PM, product engineer, or similar hybrid role)
Proven, hands-on experience integrating AI / LLMs into real products in production — not just prototypes or demos
Solid experience in consumer products: you understand user behavior, funnels, conversion, retention, and what makes a consumer experience feel magical
Strong technical fluency: comfortable understanding system architecture, prototyping with modern AI tools, working with APIs, and holding deep technical conversations with the engineering team
Independent judgment and taste: you have your own criteria for what good looks like and defend it with arguments, not consensus
Precision and speed: you ship quickly without losing rigor, and you treat being wrong fast as a way to get closer to the truth
Strong quantitative and analytical skills — comfortable with data, metrics, and turning numbers into product decisions
Proficiency in English
able to communicate complex technical and product ideas clearly to any audience, in writing and in person
High sense of ownership, urgency, and drive in a fast-paced, ambiguous environment
Nice to have:
Hands-on experience with the modern AI stack: LLM APIs (OpenAI, Anthropic, etc.), prompt engineering, RAG, evals, agentic workflows, and AI coding tools
Experience designing and running evaluations for AI-powered features (offline and online), and reasoning about model quality, cost, and latency trade-offs
Background in tech startups, or a strong willingness to operate inside a fast-moving, high-ambition tech company
Track record of shipping products as a small team or solo: founder, early-stage employee, indie builder, or similar
Strong product taste and design sensitivity — you care about how things feel, not just whether they work
Experience formulating hypotheses, building lean validations, running A/B tests, and defining primary and guardrail metrics
Strategic sense: ability to collaborate in defining where the consumer product and its AI surface area should go in the next 1–3 years
Ability to build trust quickly across different levels of an organization and rally people around what you are building
What we offer:
Flexible schedule
2 days per week at the office
40% discount on all Fever events and experiences
Health insurance from Day 1
English or Spanish Lessons
Wellhub Membership
Cobee (tax free allowance on restaurants and transport)
Possibility to receive in advance part of your salary by Payflow