Director of Product, Lab
Listed on 2026-05-31
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IT/Tech
Systems Engineer, Data Scientist, AI Engineer, Data Analyst
Highlights
- Location:
Georgia, Remote (core hours 9:00–18:00 CET) - Stock options
- Languages:
Fluent in English and Russian - Reports to VP, Product
We’re Fundraise Up - a global fundraising platform built to make donating to nonprofits fast, seamless, and accessible to all. Every month, our technology powers tens of millions of dollars in donations across the globe. We focus on innovation that directly impacts results: faster load times, higher conversion rates, global payment support, and accessibility-first design.
Our platform is trusted by many of the world’s leading nonprofits, including UNICEF, the Alzheimer’s Association, and a wide range of global NGOs. With a 4.9/5 rating across top software review platforms, we’re recognized not just for our impact - but for the quality of the product we deliver.
A Truly Global ProductWe operate in the enterprise segment, serving nonprofit organizations across North America, the United Kingdom, Australia, and Europe.
We’re building alarge and complex product ecosystemthat serves nonprofits, donors, and partners around the world. The platform includes a moderncheckout experience and customizable widgets(each a standalone SPA),donor, organization, and partner portals,admin tools, and several internal apps.
The TeamWe are a distributed team of 160+ product professionals. Our team members are mainly based across Spain, Poland, Portugal, Georgia, Armenia, Serbia, Turkey, and Cyprus.
Despite our scale, we operate like a focused team - where every task matters and every voice is heard. We value thoughtful collaboration, strong engineering practices, and a product mindset. You’ll be joining a team where quality, mentorship, and mutual respect come first.
The LabThe Lab is Fundraise Up's 01 track. It operates ahead of the roadmap, investigating opportunities driven by new technologies, AI, data, and infrastructure shifts — often before there's a clear buyer or demand signal.
The Lab does not run scaled products. It finds, validates, and hands off the ones worth scaling.
AboutThe Role
This is a player-coach role. You'll build and lead the Lab function while personally owning 1–2 of the highest-leverage bets.
Your job is to reduce uncertainty, not ship features. You'll own ideas end-to-end — from hypothesis framing through fast experiments to explicit investment decisions: scale, pivot, or kill. Most ideas should die early. A few may graduate into Core or New Products with strong evidence behind them.
Success = learning velocity, decision quality, and team leverage — not output volume or adoption.
What You'll Do- Portfolio & Strategy:
Own the Lab bet portfolio. Size opportunities, set entry/exit criteria, and make decisive scale/iterate/kill calls. Maintain a visible exploration backlog. - Experimentation:
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. - Investment Decisions:
Synthesize results into opinionated recommendations. Communicate what was tested, learned, and what remains unknown. Kill zombie initiatives — every experiment ends with a decision. - Handoffs:
When a bet shows strong signal, prepare validated hypotheses, evidence packs, risks, and a proposed scaling model. Transfer ownership fully. - GTM & Partnerships:
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. - Team:
Build a repeatable Lab Operating System (pipeline reviews, kill reviews, demo days, post-mortems).
- 3–5 high-risk bets tested with clear outcomes (scaled, iterated, or killed with rationale)
- 1–2 bets graduated to New Products or Core with evidence packs and clean handoffs
- A transparent kill list that saves months of misdirected effort
- A functioning Lab team with clear ownership, experiment discipline, and stakeholder trust
- A repeatable Lab Operating System that compounds learning
Experience (Must-Have)
- 8–10+ years in Product with a proven 01 track record
- Personally owned multiple…
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