Product lead & Data Analyst

Job description

Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model. Based in Barcelona, Labhouse was founded by Andrés Bou and Horacio Martos (Co-Founders of SocialPoint). We operate at the intersection of mobile technology, AI, and product-driven growth, with a strong focus on experimentation and performance. Would you like to make an impact as part of a company that builds the best mobile apps used by millions of users worldwide? If so, discover your next challenge below. Now we're looking for a Product lead & Data Analyst to work side by side with our CEO, turning data into the apps of tomorrow 🚀 ABOUT THE ROLE As Data Product Manager, you'll partner directly with the CEO to launch new apps and evolve our existing portfolio. You'll bring a data-first mindset to product decisions — using user behavior, experimentation, and analytics to identify opportunities, prioritize features, and ship products that scale. This role requires someone highly autonomous, entrepreneurial, and impact-driven, capable of defining KPIs, building dashboards, and making data-informed decisions. You'll be responsible for: - Working hand in hand with the CEO to ideate, validate, and launch new mobile apps - Driving product decisions on existing apps using data, experimentation, and user insights - Defining and tracking the metrics that matter: activation, retention, monetization, LTV - Designing and analyzing A/B tests, onboarding flows, and monetization experiments - Translating raw data into clear product hypotheses and roadmap priorities - Collaborating with engineering, design, and marketing to ship fast and iterate faster - Leveraging AI tools to accelerate research, prototyping, and decision-making ABOUT YOU: Academic background: - Degree in a quantitative or technical field — Data Science, Data Engineering, Computer Science, Engineering, Mathematics, Statistics, Physics, or similar - Strong academic record from a top-tier university What are we looking for: - 2-4 years of experience as a Data Scientist, Data Engineer, or Data Analyst, who has transitioned into product - Solid analytical foundation: SQL, statistics, experimentation, and product metrics (CAC, LTV, retention, ARPU) - A genuine product mindset — you don't just analyze data, you ask why and propose what to build next - High agency, ownership, and bias for action - Comfortable working directly with founders in a fast-paced environment - Strong proficiency with AI tools to accelerate your workflow - Passion for UI/UX and Apple-like product experiences Communication: - Strong level of spoken and written English and Spanish - Clear, structured communicator who can simplify complex data into product narratives NICE TO HAVE: - Experience building products from 0 to 1. - Experience working closely with founders or in startup environments. - Ability to work remote or hybrid (Barcelona-based preferred). WHAT WE OFFER: - The opportunity to work side by side with serial entrepreneurs who've built and exited at the highest level - A real path to becoming a product leader, mentored directly by the CEO - Attractive compensation package, above market average - Hybrid work model from our Barcelona office - A fast-moving, AI-native environment where shipping beats talking HIRING PROCESS 1. TA Interview – Initial conversation to get to know each other and understand your background. 2. Technical Case – Practical exercise to assess your product, analytical, and strategic capabilities. 3. CEO / Product Team Interview – Deep dive into your product thinking, experience, and fit with the team. 4. Final Interview – Final conversation to ensure alignment on expectations, culture, and role fit. YOU SHOULD KNOW: Labhouse is proud to be an equal-opportunity employer. However you identify or whatever your journey to this point, we welcome all candidates to apply for the position that inspires them. Come join us and help us build a company that everyone is proud to be part of.