
11 - 50 employees
Founded 2026
🤝 Non-profit
☁️ SaaS
🤖 Artificial Intelligence
Non-profit • SaaS • Artificial Intelligence
momoGood is an AI-native giving platform that unifies nonprofit messaging (SMS/MMS and donor texting), events & auctions (mobile bidding, ticketing, paddle raises), workplace giving (employer matching, volunteering, employee giving accounts), and donor insights and integrations into a single SaaS system. It powers two-way donor conversations, text-to-give, peer-to-peer and event fundraising, AI-driven donor scoring, smart sending, message composition, A/B testing, and an AI Inbox—serving nonprofits, employers, and individual donors with unified donor records and analytics.
🔥 2 hours ago
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11 - 50 employees
Founded 2026
🤝 Non-profit
☁️ SaaS
🤖 Artificial Intelligence
Non-profit • SaaS • Artificial Intelligence
momoGood is an AI-native giving platform that unifies nonprofit messaging (SMS/MMS and donor texting), events & auctions (mobile bidding, ticketing, paddle raises), workplace giving (employer matching, volunteering, employee giving accounts), and donor insights and integrations into a single SaaS system. It powers two-way donor conversations, text-to-give, peer-to-peer and event fundraising, AI-driven donor scoring, smart sending, message composition, A/B testing, and an AI Inbox—serving nonprofits, employers, and individual donors with unified donor records and analytics.
• Define and run the product process for the Events and Auctions surface, from discovery through delivery, in an environment where that process is still being established • Own the product roadmap for Events and Auctions, including the sequencing of integration milestones with current infrastructure • Represent the product in customer discovery, escalation calls, and event-day feedback loops with nonprofit fundraising clients • Write requirements, user stories, and acceptance criteria that UK-based engineers can act on without rounds of clarification • Run agile ceremonies (sprint planning, backlog refinement, retros) designed for a transatlantic team split across UK engineering and US design • Define and track success metrics for the product line, covering event reliability, retention through the acquisition transition, and cross-product attach with our other product lines • Partner with SDMs and Tech Leads on technical tradeoffs, architecture decisions, and build/buy/integrate calls before kickoff, not after • Create prototypes, from low-fidelity sketches to Figma mocks, to validate solutions with customers before engineering time is committed • Apply AI and emerging technologies thoughtfully to improve customer workflows and internal execution • Use data, customer feedback, and market insight to continuously improve the product experience
• At least 5 years of product experience in B2B SaaS, with a track record of owning a product surface through ambiguity, not just executing against a pre-built roadmap • Comfortable structuring undefined processes from scratch: you've joined a team where the PM playbook wasn't written yet, and you wrote it • Experience working with distributed teams across time zones, ideally with UK or European engineering counterparts, and a schedule flexible enough to make that overlap real • Technical fluency sufficient to review a data model with an engineer, understand what a webhook failure means for a customer experience, and write a spec that doesn't create a question backlog • A clear story about a metric you owned, what happened when it moved the wrong direction, and what you did about it — not a goal you contributed to, a number you were accountable for • Some prior exposure to event-driven products, live commerce, ticketing, or nonprofit fundraising - you don't need to have done exactly this, but you need to understand why a fundraising gala is different from a SaaS product launch • Strong written communication: your specs reduce ambiguity, your roadmap docs explain the reasoning behind the priorities, and your async updates give engineers and stakeholders what they need without a follow-up meeting • The instinct to say no clearly and explain why, to customers, to CS, to Sales, and to your own backlog.
• Health insurance • retirement plans • professional development
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