Product lead & Data Analyst
Labhouse
| Company | Labhouse |
| Category | Data & Analytics |
| Location | Barcelona |
| Remote | Hybrid |
| Employment | Not stated |
| Level | Lead |
| Salary | Not stated by the employer |
| Posted | 20 May 2026 |
| Last verified | 3 Aug 2026 |
| Source | Employer ATS (ashby) |
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