Director of Product – Lab

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

📋 Description

• Manage the Lab bet portfolio by identifying opportunities, establishing entry and exit criteria, and making decisive calls to scale, iterate, or terminate projects. Keep an accessible exploration backlog.

• Design experiments focused on the single most critical assumption. Define criteria for termination prior to development. Select the appropriate fidelity level (prototype, spike, wizard-of-oz, no-code, live pilot). Prioritize speed in shipping to enhance learning.

• Consolidate findings into informed recommendations. Clearly communicate what was tested, what insights were gained, and what uncertainties persist. Terminate ineffective initiatives—every experiment concludes with a decision.

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

• Identify and finalize lighthouse pilots with a clear scope, metrics, and exit strategies. Recognize enabling partners and participate in strategic discussions to advance pilots toward business validation.

• Develop a consistent Lab Operating System that includes pipeline reviews, kill reviews, demo days, and post-mortems.

• Leverage AI tools to expedite research, synthesis, and prototyping. Investigate AI-powered product ideas while maintaining a practical perspective on cost, data, and accuracy. Publish decision memos and candidly share insights from failed experiments.

⛳️ Requirements

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

• Experience personally managing several high-risk bets with clear go or kill decisions.

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

• Proficient in various validation tools: discovery, prototypes, and engineered MVPs—knows when to apply each method.

• Cross-functional leadership experience in Engineering, Design, Analytics, and Go-to-Market strategies; comfortable in pre-sales and pilot environments.

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

• 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 needing complete engineering validation.

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

• Competent in evaluating decisions related to build versus buy versus partner options.

• This experience is often gained from roles as a founder or co-founder, in early-stage startups, within internal labs/innovation teams, or through new market ventures in larger organizations.

🏝️ Benefits

• Private medical insurance coverage for employees and their families.

• 20 paid vacation days annually.

• 15 paid public holidays each year.

• 5 company-paid sick leave days.

• English language learning courses.

• Opportunities for relevant professional development.

• Access to a gym or swimming pool.

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

• Co-working options available.

• Flexibility for remote working.