Senior Product Manager, Lab

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Fundraise Up

WebsiteLinkedInAll Job Openings

51 - 200 employees

🤲 Charity

💳 Fintech

☁️ SaaS

Charity • Fintech • SaaS

Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.

📋 Description

• Build and maintain a prioritized Lab portfolio/backlog with clear hypotheses, expected upside, effort, dependencies, and status. • Define the riskiest assumptions for each bet and design experiments with explicit kill criteria. • Run fast experiments (spikes, prototypes, wizard-of-oz, pilots) and ship “just enough” product to learn—without overbuilding. • Partner tightly with engineering and design to deliver pilots and instrument them to capture meaningful signals. • Synthesize outcomes into crisp decisions: Scale / Iterate / Pivot / Kill—and prevent “zombie projects.” • Create lightweight decision logs and learning summaries to keep leadership and GTM aligned. • Identify GTM dependencies early (positioning, enablement, pricing, legal, support, etc.) and coordinate cross-functionally. • When signal is strong, prepare a clean handoff package (what was validated, evidence, remaining risks, success metrics, recommended scaling plan).

🎯 Requirements

• Senior PM experience in 0→1 / incubation / new bets (or equivalent track record). • Strong product judgment and technical fluency: can write specs, reason about feasibility, tradeoffs, instrumentation, and data needs. • Comfort operating as the driver: minimal delegation, maximal ownership. • Proven ability to run fast, scrappy experiments and move from ambiguity to decisions. • Strong communication: can produce concise decision logs, learning summaries, and alignment artifacts. • Uses AI as leverage for research, synthesis, prototyping, and analysis—while maintaining high-quality judgment.

🏖️ Benefits

• Private medical insurance for the employee and their family • 23 paid vacation days per year • 11 paid public holidays per year • 5 company-paid sick leave days • English learning courses. • Relevant professional education. • Gym or swimming pool. • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace. • Co-working. • Remote working.