Partnership on AI

Compensation

Full Description

ROLE SUMMARY To advance the organization’s mission and vision, PAI is hiring a highly-experienced, strategic, and dynamic Program and Research Lead of AI, Labor, & Economy (AILE) to be based remotely in the US. This role will be filled by a strategic operator, substantive contributor, and partnership and project manager with demonstrated experience managing complex multi-stakeholder initiatives. PAI is committed to ensuring that the effects of AI deployments on workers are beneficial, not harmful, and that workers in high, medium, and low-income countries have a role in steering the development of AI. Reporting to the Head of AI, Labor, & Economy, the Program and Research Lead of AI, Labor & Economy is a critical member of the PAI team and will serve as both an operational backbone and substantive contributor to the team’s cross-organizational and multistakeholder efforts to shape how AI impacts the economy and workforce globally over the next 2-7 years. This role requires someone who can contribute analytical expertise and economic insights to program outputs, translate strategic vision into actionable partnerships, manage high-stakes relationships across diverse stakeholder groups, and plan and execute complex convenings and deliverables with minimal supervision in collaboration with colleagues. The Lead will work across PAI's partner community—including leading AI companies, labor organizations, civil society groups, international institutions, and philanthropic funders—to coordinate partnerships, manage program operations, contribute to research and analysis, and ensure deliverables meet the highest standards of quality and impact. This role requires exceptional project management skills, substantive expertise or background in a relevant field (expertise in all fields is not required; this may include fields such as but not limited to e.g. labor, economic policy, education or workforce development policy, international development, the economies of low- and middle-income countries, technology), and the ability to build trust and facilitate collaboration among stakeholders with fundamentally different perspectives and interests. As organizational priorities evolve, this role may flex across adjacent programmatic areas to support PAI’s broader mission and goals. WHAT YOU’LL DO: Content Leadership & Expertise Apply expertise to draft program deliverables and research reports, contributing substantive analysis and written content. Synthesize complex research from academic literature, policy reports, and stakeholder input into accessible summaries and actionable insights. Support the content, agenda setting and execution of convenings, workshops, steering committees, and/or working groups to advance programmatic work in collaboration with colleagues. Apply expertise to identify viable courses of action to advance worker well-being, including but not limited to (1) the development of new programmatic work, (2) advancement of existing work, and (3) cultivation or strengthening of stakeholder relationships Stay ahead of AI and economic trends and recently released research, analyzing their current and anticipated impacts on the workforce and broader U.S. domestic and global economy. Build upon knowledge of existing and frontier AI systems to inform programmatic efforts. Conduct targeted research and analysis on specific topics. Program Operations & Project Management Support the execution of a multi-stakeholder Steering Committee, including agenda and pre-read design, participant coordination, and post-event synthesis, as well as 1-2 workshops per year. Own project management for complex deliverables with multiple workstreams, ensuring timelines are met and stakeholder input is integrated appropriately. Lead select projects from ideation to execution and post-project impact assessment. Partner closely with colleagues across PAI teams to ensure Programs & Research work is aligned with organizational priorities and contributes to PAI’s shared goals. Maintain strong communication channels across the organization to ensure alignment and transparency. Stakeholder & Relationship Management Engage effectively and build consensus and trusted relationships among a wide range of stakeholders, including industry leaders, labor advocates, researchers, policymakers, and civil society organizations, who may hold different values and have competing interests. Work collaboratively and conscientiously across PAI to support the development of deeper partnerships with other organizations bringing complementary expertise, skills and networks. Working with PAI’s Partnership Development team, support engagement with philanthropic partners by articulating program strategies, theory of change, and expected impact. PREFERRED QUALIFICATIONS 5+ years of relevant and progressively responsible experience at the intersection of AI, labor, and economics. Deep expertise in AI, labor, and economic topics, with a strong understanding of how AI trends may impact workers and society, demonstrated via a graduate degree (Master’s or Ph.D.) or equivalent experience in a relevant field, such as in public policy, international development, economics, sociology, computer science, and/or labor studies. Demonstrated track record of structuring and managing complex partnerships with diverse stakeholder groups, particularly across the private sector, civil society, labor, and/or international institutions. Exceptional written and verbal communication skills, including the ability to create and translate technical and policy insights into accessible research, other outputs, and messaging that responds to the needs of diverse audiences. Demonstrated strategic thinker with the ability to structure and synthesize insights across industry, labor, government, and/or international institutions. Proven ability to build trust and consensus in diverse multi-stakeholder settings, including convening stakeholders with differing perspectives and spanning multiple sectors to deliberate complex issues. Ability to anticipate trends in AI and develop actionable strategies that ensure AI serves the broader economic and social good. Familiarity with advanced AI systems and their societal impacts, with deeper technical expertise an advantage. Demonstrated experience collaborating across teams to successfully deliver high-impact, high-priority projects. Collaborative mindset with experience integrating diverse perspectives into actionable plans. Knowledge of, or direct experience working in, low and medium-income countries, or with international institutions such as but not limited to the United Nations, World Bank, International Monetary Fund or OECD is a plus. PREFERRED LEADERSHIP COMPETENCIES Champion of equity, diversity, and inclusion both internally and externally. Selflessly models the ethical values of the organization. Demonstrated ability to work across sectors, including in industry, civil society and labor groups, advocacy, and academia Relationship and consensus-building skills, including experience managing coalitions and diverse communities Comfortable operating at (and pivoting between) high-level strategic vision and detailed, tactical execution OTHER CONSIDERATIONS Based in the US. Willing and able to travel domestically and internationally, and work remotely. QUALITIES THAT ARE IMPORTANT TO US Justice: Notices and addresses inequities, includes diverse perspectives, and acts fairly in decisions and collaboration. Trust: Communicates openly, follows through on commitments, and demonstrates reliability and integrity. Respect: Listens fully, values others’ time and contributions, and collaborates thoughtfully. Compassion: Shows empathy, patience, and care, especially when supporting colleagues or navigating challenges. Courageous: Able to seek out opportunities for continuous improvement, and fearless in intervening in challenging situations Decisive: Able to make informed decisions in a timely fashion Personal Development: Able to seek opportunities for individual personal development ADDITIONAL INFORMATION We know that research has shown that some potential applicants will submit an application only when they feel that they have met close to all of the qualifications for a role—we encourage you to take a leap of faith with us and submit your application as long as you are passionate about working to make a real impact on responsible AI. We are very interested in hearing from a diverse pool of candidates. PAI offers a generous paid leave and benefits package, including: Time Off: Twenty vacation days; three personal reflection days; sick leave and family leave above industry standards Benefits: High-quality health insurance plans. Dental and vision insurance 100% covered by PAI; up to a 7% 401K match, vested immediately; automatic cell phone reimbursement ($75/month); up to $1,000 in professional development funds annually; $150 per month to access co-working space; regular team lunches & focused work days. Additional perks: Professional development stipends, and opportunities to collaborate with our roughly 140 partners across industry, academia and civil society. PAI is headquartered in San Francisco yet has a remote workforce with a global membership base and scope. This role is eligible for remote work within the US. We do not offer visa support for this position at this time. PAI is proud to be an equal opportunity employer. We celebrate diversity and we are committed to creating an inclusive environment in all aspects of employment, including recruiting, hiring, promoting, training, education assistance, social and recreational programs, compensation, benefits, transfers, discipline, and all privileges and conditions of employment. Employment decisions at PAI are based on business needs, job requirements, and individual qualifications. The Partnership on AI may become subject to certain governmental record keeping and reporting requirements for the administration of civil rights laws and regulations. We also track diversity in our workforce for the purpose of improving over time. In order to comply with these goals, the Partnership on AI invites employees to voluntarily self-identify their gender and race/ethnicity. Submission of this information is voluntary and refusal to provide it will not jeopardize or adversely affect employment or any consideration you may receive for employment or advancement. The information obtained will be kept confidential. HOW TO APPLY To apply, please send a cover letter and resume. Applications may be accepted after the deadline on a rolling basis until the role is filled. Only complete applications will be reviewed. This job description is subject to periodic revisions in accordance with the evolving needs of the organization