About the Job
Language: Fluent in Russian and English (C1+)
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
You'll join New Products to lead strategic 0→1 bets end-to-end. Your first bet is in the major giving space — one of the largest revenue ceilings in nonprofit fundraising. Major donors are the top 1–5% of donors who contribute 60–90% of revenue for enterprise nonprofits, a large market that is structurally underserved by digital fundraising tools.
You're joining a portfolio, not a single product — the major giving bet is where you start, and your mandate is the broader New Products portfolio.
Translate existing market research into a sharp, written investment thesis for the bet
Identify the data that's still missing — pricing intel, willingness to pay, integration constraints, donor and gift-officer behaviour — and go get it through primary interviews, secondary research, and vendor landscape work
Maintain a single source of truth for the bet: thesis, decision log, learnings
Move from thesis to validated hypothesis through working prototypes
Build prototypes yourself using AI tooling — clickable flows, interactive demos, scripted agents — and ship and iterate them in days
Validate in three loops every cycle: with major donors and their advisors, with enterprise nonprofits (gift officers, CFOs, CRM owners), and with internal teams (Sales, CSM, Partnerships)
Turn every validation cycle into a written decision memo with explicit kill criteria
Pressure-test transactional vs SaaS vs hybrid pricing against willingness-to-pay evidence
Build the unit economics: take rate, ACV, gross margin, CAC payback
Bring a sharpened, defensible model to leadership
Partner with PMM, CSM, and Sales on positioning and pilot pricing
Co-own the customer advisory pipeline for the bet
Equip GTM with the artifacts they need: one-pagers, demos, pricing rationale
Publish weekly progress in the New Products channel
Maintain decision logs and learning summaries
Kill bad ideas in writing — never let zombies linger
Mentor adjacent POs and PMs in New Products on discovery rigor, decision-making, and writing craft — raise the bar across the portfolio
Required Skills & Abilities
8+ years in product (or 6+ in product plus 2+ in an adjacent function — engineering, design, or data), with at least 2 years in 0→1 / new product line work — not feature optimization
Shipped a new product line or business model that didn't exist before, ideally in B2B SaaS, fintech, or payments
Done enterprise customer discovery at depth — 5+ decision-makers per cycle, not just user interviews
Owned a revenue model: pricing experiments, unit economics, willingness-to-pay validation
Comfortable being the single point of accountability for an initiative with no team yet
AI-native by default. You don't just use AI to draft docs — you build clickable prototypes, interactive demos, and lightweight validation tools yourself using modern AI tooling. You can ship a testable prototype in days. AI is part of your discovery loop, not a separate productivity layer
Comfortable joining a portfolio, not a single product. The major giving bet is your first mandate; if validation kills the thesis, you take on the next strategic bet in New Products
Experience in nonprofit, philanthropy, wealth tech, or donor management space
Founder or founder-adjacent experience (built and sold, or principal IC at an innovation lab)
