About the job
Key Highlights
- Location: Remote (Poland)
- Equity Options Offered
- Language Proficiency: Fluent in English and Russian
About Fundraise Up
Fundraise Up is a leading global fundraising platform designed to empower nonprofits by providing fast, seamless, and high-conversion donation experiences.
Our advanced technology facilitates millions of dollars in donations monthly for organizations in North America, Europe, the UK, and Australia, including some of the most impactful nonprofits worldwide. We pride ourselves on our product quality, performance, and respect for both donors and nonprofit operators.
As we expand our core platform, we are also strategically investing in high-risk, high-reward product ventures that could shape the future of digital fundraising. This is where our Lab comes into play.
About the Role
At this pivotal stage, scaling our core services is no longer sufficient. We need a systematic approach to explore new capabilities, categories, and transformative technology in fundraising. The Lab is dedicated to this exploration.
As a Product Manager in the Lab, you will investigate, validate, and mitigate risks associated with bold, high-uncertainty product opportunities that may not align with Fundraise Up's current offerings.
Your primary responsibility is to reduce uncertainty rather than merely shipping features.
You will oversee ideas from inception through to explicit investment decisions—whether to scale, pivot, or terminate. Most concepts will be discarded early, while a select few may transition into New Markets or Core teams with robust supporting evidence.
Success in this position will be gauged by the speed of learning and the quality of decisions rather than output volume or adoption metrics.
Key Responsibilities
Explore High-Risk, Technology-Driven Opportunities
- Identify emerging opportunities from new technologies, AI, data, and infrastructure shifts
- Transform weak signals and technical possibilities into clear product hypotheses
- Investigate ideas even before a defined buyer, category, or demand signal exists
- Maintain an exploration backlog documenting risks, assumptions, and learning objectives
Design Experiments & Define Kill Criteria
- Frame experiments around the most significant risk assumption
- Establish clear kill criteria before any development begins
- Select the appropriate fidelity: prototype, test, or pilot

