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Product Manager – Lab at Fundraise Up | JobVerse
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Product Manager – Lab
Fundraise Up
Remote
Website
LinkedIn
Product Manager – Lab
Cyprus
Full Time
1 hour ago
No Sponsorship
Apply Now
Key skills
Go
AI
Leadership
Prototyping
Remote Work
About this role
Role Overview
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
A 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
Apply Now
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