Product Manager, AI-Native Philanthropy

datadotorg; United States; Hybrid; USD 410,000 - 510,000; Full time

Job summary

datadotorg in San Francisco, operating on a hybrid model, is seeking a Senior Product Manager to lead AI-native philanthropy initiatives and help productize frontier AI for public benefit.

You will partner with Foundation leadership, grantmaking and program teams to shape the future of AI-enabled tools, translate complex workflows into trusted products, and guide cross‑functional squads from discovery to deployment while prioritizing privacy, safety, and impact.

Qualifications

• 8+ years of product management or equivalent experience.
• Proven track record shipping AI-enabled products or workflows.
• Ability to lead with product thinking in ambiguous, mission-driven environments.
• Experience collaborating with senior leadership and diverse stakeholders.
• Strong technical fluency to work with engineers and product constraints.

Responsibilities

• Shape the future of AI-native philanthropy with product thinking.
• Translate messy workflows into trusted products for donors and partners.
• Partner with leadership, grantmaking and program teams across foundations.
• Guide cross-functional teams from discovery to deployment with high impact.
• Establish quality bars and responsible deployment practices.

Skills

Product management

Senior leadership

Strategic thinking

AI product experience

Technical fluency

Product discovery

Cross-functional collaboration

Stakeholder management

Effective communication

Trust & ethics in AI

Job description

In A Nutshell

Location: Hybrid San Francisco, CA, United States

Salary: $410,000 - $510,000 / year

Job Type: Full-time

Experience Level: Senior-level

Deadline to apply: September 30, 2026

A central part of the work will be productizing AI-native philanthropy itself. Early focus areas may include grantmaking and diligence workflows, partner and grantee matching, knowledge management, portfolio learning, impact measurement, deployment operations, AI-assisted nonprofit workflows, and shared tools that help the broader philanthropic sector adopt frontier AI responsibly and effectively.

Responsibilities

• Partner with Foundation leadership, grantmaking teams, and program teams to shape the future of AI-native philanthropy, bringing product thinking to questions of where AI can unlock new solutions, tools, and operating models for public benefit.
• Discover high-leverage user needs across Foundation staff, grantees, nonprofits, funders, and sector partners, with particular attention to workflows where AI can create step-change improvements rather than incremental efficiency.
• Translate messy, human-centered workflows into simple, trusted products that help donors make better decisions, coordinate across stakeholders, and act with greater speed and confidence.
• Build and iterate tools and workflows that the Foundation uses internally first, including systems for grantmaking, due diligence, partner matching, knowledge management, portfolio learning, impact measurement, and deployment operations.
• Identify which internal tools should become reusable products, open-source projects, reference implementations, playbooks, or shared infrastructure for the broader philanthropic and nonprofit sectors.
• Partner closely with engineers, designers, program leads, deployment teams, and external builders to scope, prototype, ship, evaluate, and scale AI-enabled products.
• Use frontier AI tools hands‑on to prototype workflows, test product concepts, accelerate discovery, and model the operating practices we want to help the sector adopt.
• Develop adoption and support models that help other donors, philanthropies, and nonprofits successfully use the tools we build, including documentation, implementation guidance, training loops, and partner feedback systems.
• Establish product quality bars, evaluation methods, and responsible deployment practices appropriate for mission‑driven organizations working with sensitive information, vulnerable populations, and high‑trust relationships.
• Bring structure to ambiguous opportunities without over‑bureaucratizing them, creating enough clarity for teams to move quickly and learn from real users.
• Serve as a trusted product thought partner to Foundation leadership and program teams, helping them apply product thinking to strategy, prioritization, ecosystem needs, and how to maximize the reach of OpenAI’s unique assets for public benefit.

Skillset

• Have 8+ years of product management or equivalent product‑building experience, ideally including zero‑to‑one products, internal tools, enterprise workflows, developer tools, AI products, data platforms, or collaboration/productivity systems.
• Have operated at senior product scope, such as leading a significant product area, serving as a founding PM or first product hire, founding a company, or carrying broad accountability in a high‑ambiguity environment.
• Have a proven track record of taking ambiguous problems, finding the right user and product insight, and shipping products or workflows that create measurable value.
• Have built products for complex operational domains where the work depends on human judgment, stakeholder coordination, regulatory or privacy constraints, and trust.
• Bring strong technical fluency, including the ability to work deeply with engineers, understand AI product constraints, assess feasibility, and make sound tradeoffs across quality, speed, privacy, safety, and adoption.
• Are unusually good at product discovery in messy human systems, including environments where users may not yet know what to ask for and where adoption depends on trust, workflow change, and organizational readiness.
• Can operate as a senior individual contributor with broad scope: setting direction, aligning stakeholders, writing clearly, driving execution, and holding a high bar without relying on formal authority.
• Have excellent product taste and systems judgment: you can tell when a tool should be a lightweight workflow, a robust internal system, an open‑source project, a partnership, or something we should not build at all.
• Are comfortable moving between strategy and execution, from advising leaders on opportunity areas to writing a crisp product brief, testing a prototype, interviewing users, or debugging an adoption blocker.
• Communicate exceptionally well with technical and nontechnical audiences, including executives, program leaders, nonprofit operators, funders, engineers, and community partners.
• Bring curiosity, humility, and respect for the philanthropic and nonprofit sectors, paired with the imagination to help those sectors use AI in ways that are genuinely new.
• Are energized by the opportunity to help define what AI-native philanthropy can become.

Spot any inaccurate information? Have a job to share? Let us know.