Director of Product, Lab

🕒 May 5

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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

• Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog. • Frame experiments around the single riskiest assumption. Define kill criteria before building. Choose the right fidelity (prototype, spike, wizard-of-oz, no-code, live pilot). Ship fast and protect learning speed. • Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision. • When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully. • Source and close lighthouse pilots with clear scope, metrics, and off-ramps. Identify enabling partners and join strategic calls to move pilots to business validation. • Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems). • Use AI tools to accelerate research, synthesis, and prototyping. Explore AI-enabled product ideas with a realistic lens on cost, data, and accuracy. Publish decision memos and share failed experiments openly.

🎯 Requirements

• 8–10+ years in Product with a proven 0→1 track record • Personally owned multiple high-risk bets with explicit go/kill decisions • 3+ years managing PMs (player-coach or group lead) • Fluency across validation tools: discovery, prototypes, engineered MVPs — knows when each is appropriate • Cross-functional leadership across Eng/Design/Analytics and GTM; comfort in pre-sales/pilot settings • Experience where learning speed mattered more than polish and real downside risk was present • Hands-on experience using AI as a product-building and exploration tool • Can prototype with LLMs, APIs, or modern tooling and ship a functional prototype quickly • Able to scope AI experiments realistically and judge feasibility without full engineering validation • Can spot capability shifts and turn them into testable hypotheses • Evaluates build vs. buy vs. partner decisions

🏖️ 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