Senior Program Officer, AI-Enabled Engagement Systems

Senior Program Officer, AI-Enabled Engagement Systems

Reporting to the Deputy Director, Digital Holistic Student Supports (DHSS), the Senior Program Officer, AI-Enabled Engagement Systems will own the strategy and investment portfolio for the development of AI-native workflow platforms in higher education. This includes delivering high-impact use cases that drive measurable improvements in outcomes for students, faculty, and administrators – with an emphasis on Black, Latino, and Indigenous students, and students from low-income backgrounds. The goal is to transform how institutions execute core support workflows by evolving engagement platforms into AI-powered orchestration layers and funding the codification of institutional policy into machine-readable, auditable digital systems.

The Senior Program Officer, AI-Enabled Engagement Systems plays a critical role at the intersection of AI technology, institutional practice, and regulatory compliance. As part of a highly interconnected team, you will collaborate across DHSS and with external product developers, grantees, and institutional partners to ensure that AI-enabled solutions are built and adopted in ways that are equitable, technically rigorous, and practically sustainable.

What You'll Do

• Own the strategy and investment portfolio for development of AI-native workflow platforms in higher education, delivering high-impact use cases that drive measurable improvements in outcomes (e.g., advising, financial aid, alerts, degree planning)
• Partner with product developers to evolve engagement platforms into AI-powered orchestration layers, enabling end-to-end workflow execution across core institutional systems (e.g., SIS, CRM, financial aid, LMS)
• Fund tools and approaches to codify institutional policy and workflows into machine-readable logic, ensuring alignment with regulatory requirements (e.g., FERPA, Title IV)
• Fund adoption of AI public goods to improve solutions quality and drive modernization of compliance and policy infrastructure (e.g., auditability, AI-in-the-loop governance)
• Advance best practices for AI-mediated interaction, including conversational and agent-based interfaces for students and staff, ensuring equity and trust are foundational
• Monitor the emerging ecosystem of vertical AI infrastructure – including workflow orchestration engines, policy-as-code frameworks, and AI-native CRM/SIS integrations – and identify strategic investment opportunities
• Manage a portfolio of grants and contracts, ensuring alignment with DHSS strategy, appropriate documentation, budgeting, and reporting
• Nurture high-impact relationships with key partners, grantees, and collaborators including technology providers, higher education institutions, and open-source communities
• Provide written analysis, presentations, and summaries on key topics for foundation leadership and external partner audiences, including systemic risks and mitigation approaches
• Collaborate with DHSS team members to align investment strategies and ensure collective success across the portfolio

Your Experience

A bachelor's degree in a relevant field (e.g., Education, Computer Science, Public Policy, Business Administration) or equivalent demonstrated experience is required.

Student Success Technology Markets & Products

• Fluency with emerging AI solutions in edtech, including agentic and LLM-based workflow systems and their development lifecycle
• Experience designing or funding conversational and agent-based interfaces for student- or staff-facing use cases
• Hands-on experience designing or evaluating agentic AI systems – including multi-agent orchestration, tool use, and human-in-the-loop workflows
• Familiarity with open-source products, communities, and licensing trade-offs
• Experience with AI safety, auditability, and explainability requirements in regulated environments (e.g., financial aid, student records, compliance workflows)

Higher Education Context

• Fluency with institutional policy logic and compliance frameworks (e.g., Title IV, SAP, degree audit rules) and experience translating these into modular, auditable digital systems
• Deep understanding of the constraints and challenges lower-resourced higher education institutions face in adopting and optimizing the use of AI-enabled technology
• Practical understanding of the boundary between what AI can automate and what requires human judgment or institutional policy logic – and how to design systems accordingly

Strategy Development & Execution

• Skilled at planning, prioritizing, and managing competing demands across complex investment portfolios; sees the critical path and makes clear trade-offs
• Ability to partner effectively with product developers and vendors to influence product roadmaps and drive strategic alignment without direct authority
• Demonstrated commitment to equity in product and investment design – ensures AI-enabled solutions advance outcomes for underserved student populations

Collaboration & Communication

• Experience and passion for collaborating with team members with diverse backgrounds, approaches, and beliefs to pursue a complex, interdependent strategy
• Ability to collaborate effectively within a complex organization and with a diverse set of external collaborators; facilitates cross-sector partnerships where they may not have previously existed
• Thoughtfully communicates complex information and data in written and oral formats; synthesizes large volumes of information into clear recommendations and decisions; advocates and communicates effectively with a broad and diverse audience

Must have unrestricted work authorization in the country where this position is located.

The Foundation does not provide immigration-related sponsorship for this role.

The salary range for this role is $190,100 to $294,700 USD. We recognize high-wage market differences in Seattle and Washington D.C., where our offices are located. The range for this role in these locations is $209,100 to $324,100 USD. As a mission-driven organization, we strive to balance competitive pay with our mission. New hires salaries are typically between the range minimum and the salary range midpoint. Actual placement in the range will depend on a candidate's job-related skills, experience, and expertise, as evaluated during the interview process.