Product lead & Data Analyst

Full-timeHybrid
Barcelonavia LABHOUSE CareersPosted May 20, 2026
Match with my CV

Technical skills

SQLData engineeringData analysisData science

Methods

Product thinkingProduct management

Role signals

UI/UX Design

About this role

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 AndrΓ©s 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 πŸš€

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 β€” 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 β€” 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 β€” 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
  • -
  • 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.
  • 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.

Before you apply

  • 1Which parts of your CV prove experience with SQL, Data engineering, and Data analysis?
  • 2Which recent work examples would make your application stronger for this role?
  • 3What details from the original source listing should you confirm before applying?

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