Open Talent Pool – Patrick J. McGovern Foundation
💰 $80,000 – $130,000/yr
Job Description
Join the Patrick J. McGovern Foundation's Talent Community
The Patrick J. McGovern Foundation (PJMF) is a forward-thinking philanthropic organization dedicated to advancing artificial intelligence and data science solutions that create a thriving, equitable, and sustainable future for all. We work in strategic partnership with public, private, and social institutions to drive measurable progress on humanity's most pressing challenges, including digital health, climate change, broad digital access, and data maturity in the social sector.
About This Opportunity
While we may not have current vacancies aligned with your background at this moment, we actively invite talented professionals to join our open talent pool. This is an excellent opportunity to express your interest in future roles with a mission-driven organization that's reshaping how technology and philanthropy intersect to solve global challenges.
We review submissions regularly as we grow and expand our team. By joining our talent community, you'll be considered for upcoming positions that match your skills, experience, and values—without waiting for individual job postings.
Who We're Looking For
We welcome applications from passionate, curious, and mission-aligned individuals who share our commitment to social impact. Ideal candidates typically have:
- Expertise in artificial intelligence, machine learning, or data science
- Experience working at the intersection of technology and social good
- Strong problem-solving abilities and intellectual curiosity
- Commitment to equity, sustainability, and broad digital access
- Collaborative mindset and ability to work cross-functionally with diverse stakeholders
- Experience in nonprofits, impact-focused organizations, or similar mission-driven environments
What We Value
At PJMF, we believe the best solutions emerge when diverse perspectives come together. We're seeking team members who are:
- Mission-Driven: Passionate about using technology to address societal challenges and create meaningful impact
- Innovative Thinkers: Comfortable exploring emerging technologies and novel approaches to complex problems
- Collaborative Partners: Experienced in working effectively with external organizations, partners, and stakeholders across sectors
- Detail-Oriented: Committed to rigorous analysis, data integrity, and evidence-based decision-making
- Adaptable: Able to thrive in a dynamic, fast-evolving philanthropic landscape
Our Focus Areas
We concentrate our efforts on four critical domains where AI and data science can drive transformational change:
- Digital Health: Leveraging technology to improve health outcomes and expand access to quality care
- Climate Change: Using data-driven solutions to accelerate climate action and sustainability
- Broad Digital Access: Ensuring equitable access to digital infrastructure and resources globally
- Data Maturity in the Social Sector: Building capacity for nonprofits and social enterprises to harness data effectively
Why Join Us?
Working at PJMF means being part of a team that combines rigorous analysis with real-world impact. You'll collaborate with leading experts, partner organizations, and thought leaders shaping the future of AI for social good. We offer a flexible, inclusive work environment where your contributions directly influence global initiatives addressing humanity's greatest challenges.
Remote-first structure means you can work from anywhere while contributing to globally significant projects. We're committed to building a diverse, equitable workplace where all voices are valued.
How to Apply
To express your interest in joining our talent community and be considered for future opportunities, please submit your resume, cover letter, and a brief statement about your interest in the Patrick J. McGovern Foundation's mission. We review all submissions regularly and will reach out when opportunities align with your background and expertise.
💰 Compensation not publicly listed. Market estimate for similar roles: from $80K, varying by experience, expertise level, and location.