Job Overview
Location
Barcelona
Job Type
Full-time
Category
Product Manager
Date Posted
May 21, 2026
Full Job Description
đź“‹ Description
- • Partner directly with the CEO to ideate, validate, and launch new mobile apps from concept to scale, using data-driven product discovery methods.
- • Drive product decisions for existing apps by analyzing user behavior, experimentation results, and performance metrics to identify growth opportunities and retention levers.
- • Define, track, and optimize core product KPIs including activation rate, retention, monetization, LTV, CAC, and ARPU to ensure scalable, sustainable growth.
- • Design, execute, and interpret A/B tests across onboarding flows, feature enhancements, and monetization models to validate hypotheses and maximize conversion.
- • Translate raw behavioral and transactional data into clear product hypotheses, prioritized roadmaps, and actionable insights for engineering and design teams.
- • Collaborate cross-functionally with engineering, design, and marketing to ship products quickly, iterate based on real-world data, and reduce time-to-learn.
- • Build and maintain dashboards and reporting systems that surface critical product metrics in real-time, enabling autonomous decision-making across the team.
- • Leverage AI tools to accelerate research, prototype user flows, generate content for experiments, and streamline data analysis workflows.
- • Own the product lifecycle from hypothesis generation through launch and post-mortem analysis, ensuring every release is guided by measurable outcomes.
- • Act as the primary data interpreter for product strategy, transforming complex analytics into compelling narratives that align stakeholders and drive consensus.
- • Maintain a deep focus on UI/UX quality and strive for Apple-like product experiences in mobile applications used by millions of users worldwide.
- • Operate with high autonomy in a fast-paced, startup environment where speed, ownership, and impact override bureaucracy and process.
- • Work in a fully AI-native environment where experimentation is embedded in product development and AI is used to augment, not replace, human judgment.
- • Communicate data findings and product plans clearly and structurally in both spoken and written English and Spanish to technical and non-technical audiences.
- • Contribute to a culture of continuous learning by sharing insights, documenting experiments, and refining methodologies based on results.
- • Prioritize initiatives based on potential impact, feasibility, and data validity, balancing short-term wins with long-term product vision.
- • Stay current with mobile app trends, AI advancements in product management, and evolving user expectations in productivity and subscription-based apps.
🎯 Requirements
- • Degree in a quantitative or technical field — Data Science, Computer Science, Engineering, Mathematics, Statistics, Physics, or similar
- • 2–4 years of experience as a Data Scientist, Data Engineer, or Data Analyst, looking to transition into product
- • Solid analytical foundation: SQL, statistics, experimentation, and product metrics (CAC, LTV, retention, ARPU)
- • Strong level of spoken and written English and Spanish
- • High agency, ownership, and bias for action in fast-paced environments
- • Comfortable working directly with founders and in startup settings
🏖️ Benefits
- • 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
- • Opportunity to build products from 0 to 1 and own their success
Skills & Technologies
See exactly how your profile matches this role — strengths, skill gaps, and what to do about them.
About Labhouse Inc.
Labhouse is a biotechnology company focused on accelerating drug discovery and development. They provide a platform that integrates AI-driven insights with laboratory automation to streamline the research process. Their services enable pharmaceutical companies and research institutions to identify potential drug candidates more efficiently, optimize experimental designs, and reduce the time and cost associated with bringing new therapies to market. Labhouse operates at the intersection of artificial intelligence, machine learning, and life sciences, aiming to revolutionize how new medicines are discovered and developed.
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