Program Manager, Global Partners

About this role

Meta is seeking a Technical Program Manager in our Business Engineering team to deepen the relationship between Meta and the world's largest advertisers and agencies. Our biggest clients no longer come to us only to buy media; they come to re-architect how they operate, and they expect a partner who can help them plan that journey, frame it for their own leadership, and then see it through. In this role you will work alongside the client teams who own our largest global accounts and agencies, bringing an enterprise lens to each relationship: understanding what the client is already doing with Meta, diagnosing where their real constraints sit, shaping the small number of ambitious projects worth doing together, and program managing them to delivery.

This is a client-facing, hands-on role for an operator who thinks like a consultant. You will spend significant time with clients and agencies, and significant time behind the scenes designing the workshops, pre-reads, project frames and trackers that turn executive intent into committed work. You will not carry a quota or a book of business; your impact comes through the client and agency teams you support, and through your ability to make complex, multi-party programs actually land. The work spans Meta's portfolio of products, including business messaging, business AI agents, our models and ads offerings, and you will help account teams speak credibly about all of it.

Responsibilities

Lead cross-functional Business Engineering, Marketing Science and Creative Shop programs for Meta's largest global clients and agencies, acting as the "COO" to drive operational excellence and program outcomes Partner with client teams to build and maintain an enterprise view of each relationship: what is live, what is stalled, where the commercial and technical dependencies sit, and what the client's own organisation will and will not support Diagnose each client's situation from first principles, including their business priorities, public commitments, technology estate and internal decision-making structure, and translate that into a small number of high-conviction enterprise opportunities Rapidly translate client insight into Meta's product roadmap, leveraging prototypes to validate, iterate, and scale solutions that address client needs Our enterprise workshops and executive sessions end-to-end: define the objective and success criteria, recommend the content and provocations to the client team, build the pre-reads, design the agenda and breakouts, secure the right attendees on both sides, and run the session Program manage everything the client agrees to: convert workshop outcomes into scoped workstreams with named owners on both sides, milestones, dependencies and a live view of barriers and blockers, and drive them to a defined outcome Develop and manage end-to-end program plans, ensuring on-time delivery and high-quality execution across all phases of the program lifecycle Partner closely with engineering, product and business teams to clarify requirements, align on priorities, and ensure solutions are delivered to meet business objectives Coordinate the internal teams a program depends on, 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 to maximise productivity and impact across programs — including the organisational risks that stall enterprise work, such as absent senior ownership on the client side, competing mandates between marketing, media, procurement and technology, and the absence of precedent for first-of-a-kind work Collaborate with legal, policy and compliance teams to ensure all solutions and partnerships adhere to local and global regulations, maintaining the highest standards of integrity and trust Frame enterprise opportunities so they are defensible to leadership on both sides, including the mutual value, the commitment required from each party, and the criteria that make a project worth doing at all Equip account teams to hold credible enterprise conversations across Meta's enterprise portfolio, and prepare them and their clients' executives for those conversations Bring client and agency reality back into Meta, including product gaps and enterprise-readiness constraints across security, legal and support Define, track and report on program OKRs, KPIs and success metrics, ensuring transparency, accountability and continuous improvement in program delivery and client value Capture what is learned on each engagement so the approach becomes repeatable across the portfolio rather than dependent on any single relationship

Minimum Qualifications

8+ 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 to delivery, in environments without an established playbook Demonstrated experience leading cross-functional programs in a matrixed, global organisation, with a track record of delivering complex projects on time and at scale Demonstrated experience in designing and facilitating executive workshops and working sessions that produce committed decisions rather than discussions Experience working directly with senior client stakeholders, including C-level and functional leadership across marketing, technology, and procurement Experience diagnosing a client organisation's structure and decision-making dynamics, and building a path forward that accounts for them Proven ability to influence and coordinate cross-functional teams you do not manage, in ambiguous and highly matrixed environments Experience prioritizing competing workstreams based on impact, deadlines, and stakeholder needs across complex program portfolios Experience communicating complex 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, with the ability to use data and insights to drive decision-making and continuous improvement Experience working with large-scale systems or platforms, with an understanding of the challenges and opportunities in scaling technology solutions Experience in enterprise B2B or platform go-to-market environments Demonstrated experience operating in early/pre-product-market-fit product environments where scope, process, and playbooks are being defined (not just executed) Experience operating across multiple regions and markets

Preferred Qualifications

Background in a consulting or systems-integration environment, 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 (e.g., risk assessment, bias mitigation, quality and accuracy reviews) Experience with AI/ML product adoption in enterprise contexts Track record of using AI to build operational tooling or automation to improve team efficiency at scale Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements) Experience with enterprise technology adoption programs, including integration, data, security or platform onboarding work Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy review) Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies Experience building the operating artifacts that keep enterprise programs honest, such as trackers, decision logs, and blocker registers Experience in messaging, conversational or agentive AI, commerce, or emerging platform surfaces

$160,000/year to $223,000/year + bonus + equity + benefits