
51 - 200 employees
🤲 Charity
💳 Fintech
☁️ SaaS
Charity • Fintech • SaaS
Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.
🔥 0 minutes ago
🗣️🇷🇺 Russian Required
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51 - 200 employees
🤲 Charity
💳 Fintech
☁️ SaaS
Charity • Fintech • SaaS
Fundraise Up is a digital platform that revolutionizes the way nonprofits conduct online fundraising. It offers a suite of tools designed to enhance donor engagement and boost conversion rates, including optimized campaign pages, a checkout system, and pre-built UI components. Fundraise Up supports global fundraising with multi-language capabilities and provides comprehensive security features to protect both donor data and the fundraising process. It integrates seamlessly with various platforms and uses artificial intelligence to personalize the donation experience. Its mission is to maximize donations for causes worldwide through innovative technology and strategic partnerships with nonprofits.
• 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
• 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
• Private medical insurance for the employee and their family • 20 paid vacation days per year • 15 paid public holidays per year • 5 company-paid sick leave days • English learning courses • Relevant professional education • Gym or swimming pool • Home Office Setup Assistance: the company offers assistance with purchasing furniture (office chair, office desk, monitor) and other items to create a comfortable workspace • Co-working • Remote working
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