Program Manager, Global Partners

Meta•San Francisco, CA

1d•$160,000 - $223,000

About The Position

Meta is seeking a Technical Program Manager for its Business Engineering team to deepen relationships with the world’s largest advertisers and agencies. The role supports client teams responsible for Meta’s largest global accounts, bringing an enterprise perspective to client relationships: understanding current work with Meta, diagnosing client constraints, identifying high-value joint projects, and managing those projects through delivery. This is a client-facing, hands-on position that combines consulting-style analysis with operational program management. It involves substantial time with clients and agencies, as well as designing workshops, pre-reads, project plans, and trackers that turn executive intent into committed work. The position does not carry a quota or book of business; its impact comes through the client and agency teams it supports and the successful delivery of complex, multi-party programs. Work spans Meta products including business messaging, business AI agents, models, and ads offerings. The Program Manager leads cross-functional programs for large global clients and agencies, coordinating with internal teams across engineering, product, business, marketing, legal, privacy, policy, compliance, and partnerships. The role develops enterprise opportunities, shapes and facilitates executive workshops, translates agreements into scoped workstreams, and tracks plans, milestones, dependencies, risks, and outcomes. It also brings client and agency feedback into Meta, helps account teams communicate credibly about Meta’s enterprise portfolio, and captures lessons so successful approaches can be repeated across the portfolio.

Requirements

8 or more years of experience in program management, enterprise engagement management, management consulting, digital advertising, business engineering, or a related field.
Experience owning complex, multi-stakeholder programs end-to-end, from diagnosis and framing through delivery, in environments without an established playbook.
Demonstrated experience leading cross-functional programs in a matrixed, global organization and delivering complex projects on time and at scale.
Experience designing and facilitating executive workshops and working sessions that produce committed decisions.
Experience working directly with senior client stakeholders, including C-level and functional leaders across marketing, technology, and procurement.
Experience diagnosing client organizational structures and decision-making dynamics and building an appropriate path forward.
Ability to influence and coordinate cross-functional teams without direct authority in ambiguous, highly matrixed environments.
Experience prioritizing competing workstreams according to impact, deadlines, and stakeholder needs across complex program portfolios.
Experience communicating program updates, risks, and recommendations in writing and verbally to technical and non-technical stakeholders, including engineering, product, business, and external partners.
Experience translating technical and product topics into clear, executive-ready narratives.
Analytical and problem-solving skills, including using data and insights to drive decisions and continuous improvement.
Experience working with large-scale systems or platforms and understanding the challenges and opportunities of scaling technology solutions.
Experience in enterprise B2B or platform go-to-market environments.
Demonstrated experience operating in early or pre-product-market-fit product environments where scope, processes, and playbooks are being defined.
Experience operating across multiple regions and markets.

Nice To Haves

Background in consulting or systems integration applied inside a product company.
Experience coordinating across multiple geographies or regional teams with competing priorities.
Experience in or alongside advertising agencies, or with the largest global advertisers.
Experience adhering to and implementing responsible, ethical AI practices, such as risk assessment, bias mitigation, and quality and accuracy reviews.
Experience with AI/ML product adoption in enterprise contexts.
Track record of using AI to build operational tooling or automation that improves team efficiency at scale.
Ability to integrate AI tools to optimize or redesign workflows and drive measurable impact, such as efficiency gains or quality improvements.
Experience with enterprise technology adoption programs, including integration, data, security, or platform onboarding work.
Ongoing AI skill development, such as prompt or context engineering and agent orchestration, and staying current with emerging AI technologies.
Experience building operating artifacts that support enterprise program accountability, such as trackers, decision logs, and blocker registers.
Experience in messaging, conversational or agentive AI, commerce, or emerging platform surfaces.

Responsibilities

Lead cross-functional Business Engineering, Marketing Science, and Creative Shop programs for Meta’s largest global clients and agencies, driving operational excellence and program outcomes.
Build and maintain an enterprise view of each client relationship, including active and stalled work, commercial and technical dependencies, and the client organization’s capacity to support initiatives.
Diagnose client business priorities, public commitments, technology estate, and decision-making structure, then translate findings into high-conviction enterprise opportunities.
Translate client insights into Meta product roadmap opportunities, using prototypes to validate, iterate, and scale solutions.
Design and run enterprise workshops and executive sessions end-to-end, including objectives, success criteria, content, pre-reads, agendas, attendees, and facilitation.
Convert workshop outcomes into scoped workstreams with named owners, milestones, dependencies, and a current view of barriers and blockers; drive the work to defined outcomes.
Develop and manage end-to-end program plans to support on-time delivery and high-quality execution across the program lifecycle.
Partner with engineering, product, and business teams to clarify requirements, align priorities, and deliver solutions that meet business objectives.
Coordinate internal teams on which programs depend, including enterprise technical sales specialists, Business Engineering, product, marketing, legal, privacy, and partnerships, without owning their deliverables.
Identify and proactively mitigate risks, streamline execution, and scale best practices across programs, including organizational risks that can stall enterprise work.
Work with legal, policy, and compliance teams to ensure solutions and partnerships meet local and global regulations and uphold integrity and trust.
Frame enterprise opportunities for leadership on both sides, including mutual value, required commitments, and criteria for pursuing a project.
Equip account teams to conduct credible enterprise conversations across Meta’s portfolio and prepare teams and client executives for those conversations.
Bring client and agency feedback into Meta, including product gaps and enterprise-readiness constraints related to security, legal, and support.
Define, track, and report program OKRs, KPIs, and success metrics to support transparency, accountability, and continuous improvement.
Capture engagement learnings so approaches can be repeated across the portfolio rather than relying on a single relationship.