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Director of Product, Lab

Turkey · Job Posted May 14, 2026
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Job Description

This is a player-coach role. You'll build and lead the Lab function while personally owning 1–2 of the highest-leverage bets. Your job is to reduce uncertainty, not ship features. You'll own ideas end-to-end — from hypothesis framing through fast experiments to explicit investment decisions: scale, pivot, or kill. Most ideas should die early. A few may graduate into Core or New Products with strong evidence behind them. Success = learning velocity, decision quality, and team leverage — not output volume or adoption.

Job Responsibility

  • Portfolio & Strategy: Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog
  • Experimentation: Frame experiments around the single riskiest assumption. Define kill criteria before building. Choose the right fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Ship fast and protect learning speed
  • Investment Decisions: Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision
  • Handoffs: When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully
  • GTM & Partnerships: Source and close lighthouse pilots with clear scope, metrics, and off-ramps. Identify enabling partners and join strategic calls to move pilots to business validation
  • Team: Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems)
  • AI & Transparency: Use AI tools to accelerate research, synthesis, and prototyping. Explore AI-enabled product ideas with a realistic lens on cost, data, and accuracy. Publish decision memos and share failed experiments openly

Requirements

  • 8-10+ years in Product with a proven 0→1 track record
  • Personally owned multiple high-risk bets with explicit go/kill decisions
  • 3+ years managing PMs (player-coach or group lead)
  • Fluency across validation tools: discovery, prototypes, engineered MVPs — knows when each is appropriate
  • Cross-functional leadership across Eng/Design/Analytics and GTM
  • comfort in pre-sales/pilot settings
  • Experience where learning speed mattered more than polish and real downside risk was present
  • Hands-on experience using AI as a product-building and exploration tool
  • Can prototype with LLMs, APIs, or modern tooling and ship a functional prototype quickly
  • Able to scope AI experiments realistically and judge feasibility without full engineering validation
  • Can spot capability shifts and turn them into testable hypotheses
  • Evaluates build vs. buy vs. partner decisions
  • Fluent in English and Russian

Nice to have

  • Ex-founder with a clear ship/scale/kill story and measurable outcomes
  • Payments, fintech, e-commerce, or nonprofit domain experience
  • EU market familiarity (PSD2/SCA, data/privacy norms) and additional languages

What we offer

  • 31 days of paid time off
  • 100% paid telemedicine plan
  • Home office setup assistance
  • English learning courses
  • Professional education budget
  • Gym or swimming pool membership
  • Co-working support
  • Fully remote work
  • Stock options
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  • Portfolio & Strategy: Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog
  • Experimentation: Frame experiments around the single riskiest assumption. Define kill criteria before building. Choose the right fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Ship fast and protect learning speed
  • Investment Decisions: Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision
  • Handoffs: When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully
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  • Team: Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems)
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