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 🚀
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
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
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).
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
TA Interview – Initial conversation to get to know each other and understand your background.
Technical Case – Practical exercise to assess your product, analytical, and strategic capabilities.
CEO / Product Team Interview – Deep dive into your product thinking, experience, and fit with the team.
Final Interview – Final conversation to ensure alignment on expectations, culture, and role fit.
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.
Job details are sourced from the employer's original posting.
Open job postingAbout the company
Labhouse is a fast-growing startup that builds, launches, and scales its own AI & Productivity Apps, operating under a subscription-based business model. They focus on mobile technology, AI, and product-driven growth.