About the Job
Location: Spain, Remote (core hours 9:00–18:00 CET)
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...
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.
Key Responsibilities
This is a senior individual contributor PM role for someone who thrives in ambiguity and can personally drive discovery, experimentation, and early delivery with engineering and design.
The core mandate is to build and validate high-uncertainty bets and make explicit Scale / Iterate / Pivot / Kill calls based on evidence.
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).
A single, visible Lab portfolio exists with clear statuses, owners/counterparts, and next decision points.
A repeatable prioritization method is in place (signals, confidence, upside, GTM dependency, effort).
A 4–8 week experiment plan is defined and executed.
Multiple experiments are completed and end with explicit decisions (no zombie initiatives).
Engineering/design counterparts are named per top initiative and working cadence is established.
One permanent owner at the start: you.
Engineering and design support are assigned on demand per initiative, and must be made explicit for each top-priority bet.
The biggest challenge is typically coordination with GTM, so crisp communication and early dependency management are critical.
Required Skills & Abilities
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.
Experience launching early-stage products into market with measurable adoption/revenue signals.
Experience working closely with GTM teams on positioning, enablement, and early go-to-market motion.
Stable roadmaps, long planning cycles, and incremental optimization.
Heavy reliance on others to structure specs, experiments, or execution.
Low tolerance for ambiguity or rapid direction changes.
Ability to turn ambiguous problems into sharp hypotheses and experiment plans.
Speed-to-learning and rigor in kill criteria.
Hands-on execution with engineering/design and ability to keep scope tight.
Quality of decision-making and clarity of written artifacts.
Cross-functional alignment (especially with GTM).
