Fundraise Up · 1 day ago
Product Manager, Lab
United States
Full-time
Remote
Senior Level, Lead/Staff
5+ years expFundraise Up is a global fundraising platform that helps nonprofits enhance their donation experiences. As a Product Manager for the Lab, you will explore and validate high-risk product opportunities, focusing on reducing uncertainty and making informed investment decisions based on learning speed and decision quality.
Artificial Intelligence (AI)B2BEnterprise SoftwareFinTechNon ProfitPaymentsSocial Impact
Responsibilities
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
Qualification
Required
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
Ship a functional prototype quickly
Evaluate build vs buy vs partner decisions
Spot capability shifts and turn them into testable hypotheses
Preferred
Experience from founder or co-founder roles
Experience from early-stage startups
Experience from internal Labs / innovation teams
Experience from new market or platform bets inside larger companies
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
Company
Fundraise Up
Fundraise Up is an online donation platform that helps nonprofits engage donors and increase revenue.
51-200 employees
Funding
Current Stage
Growth StageTotal Funding
$82.1MKey Investors
Summit PartnersTelescope PartnersSplash Capital
2025-01-06Series B· $70M
2021-03-01Series A· $10M
2020-01-09Seed· $1.25M
Leadership Team
Peter Byrnes
Co-Founder & CEO
Yuriy Smirnov
Co-Founder
Recent News
The Real Deal
2025-04-23
2025-02-06
Company data provided by crunchbase