Director of Product – Lab

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

📋 Description

• Take ownership of the Lab bet portfolio. Assess opportunities, establish entry and exit criteria, and make decisive calls on scaling, iterating, or discontinuing projects. Maintain a visible exploration backlog.

• Design experiments around the single most critical assumption. Define kill criteria prior to development. Select the appropriate fidelity level (prototype, spike, wizard-of-oz, no-code, live pilot). Deliver quickly while prioritizing learning speed.

• Consolidate results into clear recommendations. Communicate findings regarding what was tested, learned, and what remains uncertain. Discontinue ineffective initiatives — every experiment concludes with a decision.

• When a bet demonstrates strong signals, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Fully transfer ownership.

• Identify and finalize lighthouse pilots with defined scope, metrics, and off-ramps. Pinpoint enabling partners and participate in strategic discussions to advance pilots towards business validation.

• Establish a repeatable Lab Operating System, including pipeline reviews, kill reviews, demo days, and post-mortem evaluations.

• Leverage AI tools to enhance research, synthesis, and prototyping. Investigate AI-enabled product concepts with a realistic perspective on costs, data, and accuracy. Publish decision memos and openly share insights from failed experiments.

⛳️ Requirements

• 8–10+ years of experience in Product with a proven track record of 0→1 success.

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

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

• Proficiency with validation tools: discovery, prototypes, engineered MVPs — understands the appropriate context for each.

• Cross-functional leadership skills across Engineering, Design, Analytics, and Go-To-Market; comfortable in pre-sales and pilot environments.

• Experience in scenarios where the speed of learning was prioritized over polish and real downside risks existed.

• Hands-on experience utilizing AI as a tool for product development and exploration.

• Ability to prototype using LLMs, APIs, or modern tools and deliver a functional prototype swiftly.

• Capable of realistically scoping AI experiments and assessing feasibility without complete engineering validation.

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

• Evaluates build versus buy versus partner options effectively.

🏝️ Benefits

• Private medical insurance for employees and their families.

• 22 paid vacation days annually.

• Up to 14 paid public holidays each year.

• 5 company-paid sick leave days.

• English language courses.

• Opportunities for relevant professional education.

• Access to gym or swimming pool facilities.

• Home Office Setup Assistance: the company provides support for purchasing office furniture (such as chairs, desks, and monitors) and other essentials for a comfortable workspace.

• Co-working opportunities.

• Options for remote work.

• €50 monthly allowance to cover internet and mobile phone expenses.