Sr. Product Manager

Bloomerang is a mission-driven company providing giving technology and support to nonprofit organizations. The Senior Product Manager will own outcomes for a nonprofit customer persona by developing customer insight, identifying problems, prototyping and experimenting with solutions, and delivering measurable product improvements. The role also involves using AI tools and partnering across teams to create valuable AI-enabled product experiences.

Responsibilities:

• Develop a deep understanding of a nonprofit persona, including their goals, workflows, challenges, and measures of success. Translate those insights into product strategy, prioritization decisions, and measurable outcomes for customers and Bloomerang
• Build direct and ongoing relationships with customers. Conduct frequent customer conversations, observe workflows, analyze behavior, and develop strong intuition about the problems worth solving
• Separate signal from noise. Find the real problem beneath the stated request. Frame opportunities clearly, surface tradeoffs, and make strong recommendations about where Bloomerang should invest. Know when you have enough data to make a call and move. A good hypothesis tested quickly is more valuable than weeks of data gathering that delays a decision
• Move quickly from hypothesis to evidence. Create prototypes, experiments, workflows, mockups, demos, and lightweight solutions that help teams learn faster and make better decisions
• Partner closely with Engineering, Design, Data, Product Marketing, Customer Success, Sales, and Support to bring solutions to market. Define success before shipping, measure results after launch, and continuously improve what you build
• Use modern AI tools to accelerate research, synthesis, discovery, prototyping, communication, and delivery. Help shape AI-enabled features, intelligent workflows, automation experiences, and agentic capabilities that create real customer value
• Bring strong product taste. Know the difference between functional and exceptional. Advocate for experiences that are useful, intuitive, elegant, and effective
• Communicate with precision. Influence without authority. Align teams around the few things that matter most and help drive decisions forward

Requirements:

• 7+ years of product management experience
• Strong product judgment and the ability to make decisions when information is incomplete and ambiguity is high
• A builder mentality with a history of creating prototypes, experiments, workflows, demos, tools, or other tangible ways to test ideas and accelerate learning
• Deep customer curiosity and a track record of developing strong customer intuition through direct engagement
• Strong product taste and a clear point of view on what makes a product experience valuable and delightful
• Demonstrated ability to use modern AI tools to prototype ideas, test hypotheses, automate workflows, and accelerate product discovery and delivery
• Familiarity with AI-enabled products, agentic experiences, intelligent workflows, automation, and emerging AI interaction patterns
• Ability to participate meaningfully in the discovery, prototyping, evaluation, and delivery of AI-powered capabilities
• Strong partnership skills with Engineering and Design, including enough technical fluency to discuss tradeoffs, constraints, and opportunities
• Strong data literacy, including experience using analytics, experiments, and product metrics to guide decisions
• Excellent communication and influence skills across technical, business, and customer-facing teams
• A bias for action, ownership, learning, and continuous improvement
• preferably in SaaS or technology products
• Demonstrated success owning product outcomes and business impact, not just delivering features
• Experience in nonprofit technology, fundraising, CRM, volunteer management, or adjacent industries
• Experience working with specific user personas or vertical customer segments
• Experience in high-growth, startup, or highly ambiguous environments
• Experience with APIs, integrations, platform products, or data-driven products
• Experience creating side projects, internal tools, automations, or other self-directed products outside of core job responsibilities