Senior Technical Product Manager

Responsibilities

Build, prioritize and improve the product throughout the development cycle

• Scope, prioritize, and ship product improvements in collaboration with contract engineering partners, including reviewing features prior to release.
• Contribute hands-on technical work when it meaningfully accelerates delivery, such as prototyping workflows, refining prompt systems, or improving internal tooling.
• Synthesize insights from evaluation, user feedback, and usage data to inform product priorities, working with the Technology Lead to sequence improvements and surface trade-offs.
• Lead regular conversations with end users and other stakeholders to understand workflows, test features, and identify where the product creates (or fails to create) value.

Ensure AI output quality, reliability and performance

• Design and maintain evaluation frameworks for AI outputs, including reviewing model behavior, identifying drift or failure modes, and translating findings into concrete improvements.
• Write test cases, refine prompts, run regressions, and set quality standards for accuracy, tone, and appropriateness in nonprofit fundraising contexts.
• Monitor system health and product usage patterns to identify and mitigate risks and ensure reliable performance.

Drive adoption and translate insights for portfolio and field-wide learning

• Improve usability and onboarding, and build the documentation and enablement materials needed to support adoption across the portfolio.
• Contribute to insights reports, briefings, and public presentations about the product, in collaboration with the Product & AI Studio team.
• Some travel required – roughly 6-8 trips annually.

Skillset

• Demonstrated experience in product management roles, including overseeing an entire product development cycle from concept to launch.
• Hands-on experience building, deploying, or meaningfully improving an AI-powered product, including using evaluation or feedback loops to improve quality over time.
• Sufficient technical depth to evaluate engineering work, ask good architectural questions, and push back when needed – even when you are not the primary implementer.
• Familiarity with modern web-based products and infrastructure concepts (e.g., APIs, integrations, version control, deployment workflows), and an ability to reason about systems, dependencies, and failure modes.
• A nuanced understanding of responsible AI use – including data privacy, appropriate use boundaries, and thoughtful judgment about when automation should support (not replace) human decision-making.
• Strong product judgment and the ability to operate with limited precedent, making informed trade-offs as goals and constraints evolve, and to communicate and collaborate with others to navigate decisions with uncertain outcomes.
• Comfort working closely with engineers, designers, and non-technical nonprofit professionals (e.g. development directors, operations staff, or executives), translating between technical systems and real-world workflows.
• An interest in nonprofit journalism, fundraising, or mission-driven technology, and a desire to learn from newsroom partners and collaborators. Experience in the field is a plus but not required.
• Clear written and verbal communication skills, with the ability to explain complex ideas to non-technical audiences and synthesize feedback into actionable insights.