Director of Product, Lab

This is a fully remote position, open to applicants in Spain.

📋 Description

• Take ownership of the Lab bet portfolio. Assess opportunities, establish entry/exit criteria, and make decisive choices on scaling, iterating, or discontinuing projects.

• Design experiments focusing on the most critical assumptions. Define kill criteria prior to development. Select the appropriate fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Move quickly while safeguarding the pace of learning.

• Integrate results into well-informed recommendations. Clearly communicate what was tested, the insights gained, and the uncertainties that remain.

• When a bet demonstrates a strong signal, prepare validated hypotheses, evidence packs, risk assessments, and a proposed scaling strategy. Fully transfer ownership.

• Identify and secure lighthouse pilots with clear objectives, metrics, and exit strategies. Recognize enabling partners and participate in strategic discussions to advance pilots towards business validation.

• Develop a repeatable Lab Operating System, including pipeline reviews, kill reviews, demo days, and post-mortems.

• Leverage AI tools to enhance research, synthesis, and prototyping. Investigate AI-driven product ideas with a realistic perspective on cost, data, and accuracy. Publish decision memos and openly share insights from unsuccessful experiments.

⛳️ Requirements

• 8–10+ years of experience in Product with a proven track record of taking ideas from 0 to 1.

• Directly managed multiple high-risk bets with clear go/kill decisions.

• At least 3 years of experience managing PMs (as a player-coach or group lead).

• Proficiency in validation tools: discovery, prototypes, engineered MVPs — understands when each tool is appropriate.

• Cross-functional leadership experience across Engineering, Design, Analytics, and GTM; comfortable in pre-sales and pilot environments.

• Background in situations where learning speed was prioritized over polish and real downside risk was present.

• Practical experience utilizing AI as a tool for product development and exploration.

• Capable of prototyping with LLMs, APIs, or modern tools and delivering functional prototypes swiftly.

• Able to realistically scope AI experiments and assess feasibility without complete engineering validation.

• Skilled at identifying capability shifts and transforming them into testable hypotheses.

• Evaluates decisions regarding build versus buy versus partner options.

🏝️ Benefits

• Comprehensive private medical insurance for employees and their families.

• 23 paid vacation days annually.

• 11 paid public holidays each year.

• 5 company-paid sick leave days.

• Access to English learning courses.

• Opportunities for relevant professional development.

• Gym or swimming pool membership.

• Home Office Setup Assistance: the company provides support for purchasing furniture (office chair, desk, monitor) and other items to create a comfortable workspace.

• Co-working space options.

• Flexibility for remote working.