About Fundraise Up 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. About Fundraise Up We’re Fundraise Up
- a integral 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.

About The Role
Most new bets don't fail. They just never get killed. You'll make sure every one ends in a decision. Fundraise Up is investing in a Lab to explore new product lines and step-change growth opportunities. The Lab runs like a small startup inside the company, turning ambiguous opportunities into shipped pilots and clear investment decisions. As the Lab's first and only permanent owner, you'll personally drive discovery, experimentation and early delivery with Engineering and Design. You'll make explicit Scale, Iterate, Pivot or Kill calls based on evidence. This is a senior individual contributor role with real authority to pursue high-impact bets, and a clear expectation to kill bad ideas early.

Key Responsibilities




Own the Lab portfolio. Build and run a single, visible, prioritised portfolio. Every bet has a clear hypothesis, expected upside, effort, dependencies, owner and next decision point. Set a repeatable prioritisation method. Weigh signals, confidence, upside, GTM dependency and effort so bets are chosen on evidence, not enthusiasm. Design experiments that can fail cleanly. Name the riskiest assumptions for each bet and set explicit kill criteria before you start. Deliver a 4–8 week experiment plan in your first months. Run fast and ship just enough. Use spikes, prototypes, Wizard of Oz tests and pilots to learn quickly without overbuilding. Instrument every pilot to capture meaningful signals. Make the call. Turn outcomes into crisp Scale, Iterate, Pivot or Kill decisions, with no zombie projects. Keep lightweight decision logs and learning summaries so leadership and GTM stay aligned. Secure the team per bet. Engineering and Design support is assigned on demand, so make it explicit for each top-priority initiative and set a working cadence. Get ahead of GTM. Coordination with GTM is usually the hardest part. Flag dependencies early (positioning, enablement, pricing, legal, support) and drive alignment across teams. Hand over winners cleanly. When the signal is strong, package what was validated, the evidence, remaining risks, success metrics and a recommended scaling plan. Work AI-native. At Fundraise Up,



AI is a default tool, not an experimental one. We expect every team member to use AI actively in their day-to-day work, spot where AI can change the shape of problems in their function, and grow their fluency as the tools evolve. In the Lab, that means using AI for research, synthesis, prototyping and analysis to move faster, while keeping judgement sharp. Skills And Qualifications Senior PM experience in 0→1, incubation or new bets, or an equivalent track record Strong product judgement and technical fluency: you write specs and reason about feasibility, trade-offs, instrumentation and data needs A proven record of running fast, scrappy experiments and moving from ambiguity to decisions Comfort as the driver, with minimal delegation and maximum ownership Strong written communication: concise decision logs, learning summaries and alignment artifacts Practical use of AI as leverage for research, synthesis, prototyping and analysis Languages: Fluent Russian (required, as you’ll be working in a Russian-speaking team) and English at C1 level, both written and spoken Nice to Have Launching early-stage products into market with measurable adoption or revenue signals Working closely with GTM teams on positioning, enablement and early go-to-market motion You’ll Thrive Here If You… Would rather kill a bet in week three than defend it in month six Structure your own specs, experiments and execution without waiting for someone else to Enjoy ambiguity and fast changes of direction more than stable roadmaps and long planning cycles Value clear thinking over looking busy Say the uncomfortable thing early, especially to GTM and leadership Get energy from real customers, real data and real constraints Ship the smallest thing that

📌 Senior Product Manager, Lab (España)
🏢 Fundraise Up
📍 España