Product Manager, Lab
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full-time
Posted on:
Location Type: Remote
Location: Poland
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About the role
- Explore High-Risk, Technology-Driven Opportunities
- Identify opportunities emerging from new technologies, AI, data, platform capabilities, or infrastructure shifts
- Translate weak signals and technical possibilities into clear product hypotheses
- Explore ideas before there is a clear buyer, category, or demand signal
- Maintain an exploration backlog with risks, assumptions, and learning goals
- Design Experiments & Define Kill Criteria
- Frame experiments around the single riskiest assumption
- Define explicit kill criteria before building anything
- Choose the right fidelity: prototype, technical spike, wizard-of-oz, or live pilot
- Build just enough to learn — never more
- Run Fast Experiments & Pilots
- Execute scrappy prototypes, MVPs, and pilots with minimal scope
- Work closely with Engineering, Design, Data, and GTM during experiments
- Ruthlessly protect learning speed and avoid premature optimization
- Make Clear Investment Decisions
- Synthesize results into opinionated recommendations: Scale / Iterate / Kill
- Clearly communicate what was tested, what was learned, and what remains unknown
- Avoid zombie initiatives — every experiment must end with a decision
- Kill your own ideas quickly when evidence is weak
- Prepare Clean Escalation & Handoffs
- When an opportunity shows strong signal, prepare it for handoff with validated value and problem hypotheses, evidence from experiments or pilots, clear risks, assumptions, and success metrics, proposed ownership and scaling model
- Transfer ownership fully — the Lab does not run scaled products
- Operate Transparently & Share Learnings
- Maintain a visible Lab portfolio: what's being explored, why, and what the signals say
- Publish decision memos and learning summaries
- Share failed experiments openly when the learning is clear
- Leverage AI to Accelerate Learning
- Use modern AI tools to speed up research, synthesis, prototyping, and experimentation
- Explore AI-enabled product ideas with a realistic lens: cost, latency, data, accuracy
- Distinguish hype from actual capability shifts
- Help others understand when AI meaningfully accelerates learning — and when it doesn't
- Launch High-Risk, High-Signal Initiatives
- Selectively launch bold initiatives even when short-term adoption is uncertain
- Treat launches as real product bets, not demos
- Use launches to test future categories, shape market perception, and signal technical leadership
- Be explicit about intent: learning, optionality, or external signaling
Requirements
- 5+ years in product roles with real 0→1 or exploratory ownership
- Personally owned multiple high-risk bets with explicit go / kill decisions
- Experience where learning speed mattered more than polish
- Comfort operating with real downside risk (time, opportunity cost, credibility)
- Strong hands-on experience using AI as a product-building and exploration tool
- Comfortable prototyping with LLMs, APIs, or modern tooling
- Able to scope AI experiments realistically (data, cost, latency, accuracy)
- Can judge feasibility without full engineering validation
- Curious beyond AI: automation, real-time data, voice, CV, infrastructure shifts
Benefits
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
AIprototypingMVPexperimentationdata analysiscost estimationlatency assessmentaccuracy evaluationautomationreal-time data
Soft Skills
curiositydecision-makingcommunicationrisk managementlearning agilitycollaborationtransparencysynthesiscritical thinkingadaptability