Sr. Product Manager - AI & Data Services

Bloomerang is a company dedicated to empowering nonprofits through innovative technology and support. The Sr. Product Manager – AI & Data Services will be responsible for developing and implementing AI-powered capabilities that enhance value for nonprofit customers, working collaboratively across teams to ensure successful delivery and adoption of these technologies.

Responsibilities:

• Build & Ship Agentic AI: You won’t just write requirements; you’ll turn ideas into working prototypes, agents, and experiments. Partnering with Engineering and AI architects, you'll build systems leveraging LLMs, retrieval (RAG), and orchestration frameworks. You’ll also play a key role in evolving Penny, Bloomerang’s AI Fundraising Assistant, by staying hands-on with emerging AI tech
• Modernize the AI Product Lifecycle (AI PDLC): We’ve moved beyond the era of 50-page PRDs. You will help shape a lifecycle where the demo is the spec. Using tools like Cursor or Claude Code, you'll produce high-signal outputs—product briefs, prompt designs, and evaluation frameworks—that reduce handoffs and prioritize observed system behavior over static documentation
• Architect Data & Integration Foundations: AI is only as good as its data. You’ll collaborate with Data and Engineering teams to ensure our AI capabilities are powered by high-quality, governed, and well-structured data services. In the near term, you’ll also oversee our public API and partner ecosystem, ensuring these integrations are robust and ready to support future AI-driven use cases
• Drive Cross-Functional Execution: As a horizontal leader, you’ll be the 'connective tissue' between Engineering, Design, and GTM teams. You’ll coordinate with Product Marketing to position our AI story, and work with Sales and Success to ensure our tools are driving real outcomes for nonprofits—all while ensuring every feature is built with safety, reliability, and scale

Requirements:

• 7+ years of product management experience, with strong experience in technical, AI, or data-driven products
• Proven experience building and shipping AI-powered products in a SaaS environment
• Hands-on experience creating working prototypes, agents, or workflows using modern AI tools
• Strong understanding of LLMs, RAG architectures, and emerging agentic patterns
• Experience working with APIs, integrations, and distributed systems, including external partner ecosystems
• Experience working with data systems and understanding how data quality impacts AI outcomes
• Demonstrated ability to operate as a builder, combining product thinking with technical and design intuition
• Experience collaborating across both technical and go-to-market teams (e.g., Product Marketing, Sales, Customer Success, Support)
• Comfort operating in a fast-moving, ambiguous environment with evolving tools and practices
• Strong collaboration and communication skills across diverse stakeholders
• A strong bias for action, ownership, and continuous improvement
• Experience with tools such as Claude Code, Cursor, or similar AI development environments
• Familiarity with frameworks such as LangChain, AutoGen, CrewAI, or similar
• Experience supporting developer platforms, APIs, or integration ecosystems
• Exposure to evaluation frameworks for AI systems (e.g., prompt testing, output quality measurement)
• Experience with data governance, data quality, or analytics platforms
• Background in nonprofit technology, CRM, or fundraising software