Director of Product, Lab

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

📋 Description

• Take charge of the Lab bet portfolio by assessing opportunities, establishing entry and exit criteria, and making decisive calls on scaling, iteration, or discontinuation. Ensure a visible exploration backlog is maintained.

• Design experiments centered around the single most critical assumption at risk. Set kill criteria prior to development. Select the appropriate fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Deliver swiftly while safeguarding the speed of learning.

• Consolidate results into assertive recommendations. Clearly communicate what was tested, what insights were gained, and what remains uncertain. Eliminate ineffective initiatives — each experiment concludes with a definitive decision.

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

• Identify and secure lighthouse pilots with clear scope, metrics, and off-ramps. Recognize enabling partners and participate in strategic discussions to advance pilots toward business validation.

• Create 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 concepts with a practical understanding of costs, data, and accuracy. Publish decision memos and openly share insights from failed experiments.

⛳️ Requirements

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

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

• Over 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 experience across Engineering, Design, Analytics, and Go-To-Market; comfortable in pre-sales and pilot environments.

• Experience in situations where the speed of learning was prioritized over polish and where genuine downside risks were present.

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

• Capable of prototyping with LLMs, APIs, or modern tools and delivering a functional prototype promptly.

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

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

• Evaluates decisions regarding building, buying, or partnering.

🏝️ Benefits

• 31 days of paid time off.

• 100% covered telemedicine plan.

• Assistance with home office setup.

• English language learning courses.

• Budget for professional education.

• Membership for gym or swimming pool.

• Co-working support.

• Fully remote work.