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Product Manager, Lab

Fundraise Up

full-time

Posted on:

Location Type: Remote

Location: United States

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About the role

  • 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
  • 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
  • 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
  • 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
  • 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
  • Use modern AI tools to speed up research, synthesis, prototyping, and experimentation
  • Selectively launch bold initiatives even when short-term adoption is uncertain
  • Treat launches as real product bets, not demos
  • 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 analysisLLMsAPIsautomationreal-time datacomputer vision
Soft Skills
curiositydecision-makingcommunicationrisk managementlearning speedadaptabilitysynthesiscollaborationcritical thinkingproblem-solving