Ads Operations Manager

Meta Meta · Big Tech · Bellevue, WA +2

This role is for an Operations Manager within the Ads Operations team, focusing on supporting high-priority projects. The role involves acting as a consultant/agency to accelerate or fix initiatives, partnering with VP-level leaders, and translating strategic goals into actionable plans. The candidate will establish operational infrastructure, drive cross-functional alignment, and provide strategic counsel in fast-moving environments. While the role itself is not directly building AI models, it requires experience in integrating AI tools to optimize workflows, adhering to ethical AI practices, and demonstrating ongoing AI skill development.

What you'd actually do

  1. Serve as a strategic thought partner to VP-level leaders and their organizations — translating leadership priorities into structured execution plans, proactively identifying risks, and providing operational counsel on org-wide decisions
  2. Establish and maintain operational cadence for senior leadership — designing review processes, ensuring the right stakeholders are in the room at the right frequency, managing staff meetings, and driving accountability on outcomes
  3. Gatekeep and prioritize requests for executive reviews; prepare pre-read materials, briefing documents, and week-ahead summaries; provide pre- and post-review coaching and feedback to teams
  4. Drive high-priority, cross-functional initiatives (including CEO/Company-level requests) from inception to delivery — scoping, stakeholder alignment, milestone tracking, escalation management, and ensuring flawless execution across organizational boundaries
  5. Coordinate working groups for areas that cut across organizational lines; at times be specifically tasked to own a workstream or deep dive into a part of the organization to kickstart 0-to-1 efforts or accelerate execution

Skills

Required

  • 12+ years of experience in program management, strategy, management consulting, or operations
  • Experience operating as a trusted advisor to VP/SVP-level leadership, with the executive presence and judgment to navigate senior stakeholder dynamics independently
  • Demonstrated quantitative, analytical, and conceptual problem-solving skills with solid business acumen
  • Track record of organizing, developing, and executing complex strategy projects with successful outcomes in highly cross-functional environments
  • Experience operating autonomously and efficiently in ambiguous, fast-paced settings — rapidly scoping problems, building credibility, and driving alignment without established playbooks
  • Proven ability to partner with cross-functional leadership to transform insights into actionable outcomes
  • Experience navigating complex organizational structures while maintaining confidentiality and discretion
  • Experience influencing and building alignment with senior management through problem-solving, analytical skills, and executive-level communication
  • Interpersonal skills and experience developing effective relationships with peers, senior management, and cross-functional partners
  • MBA or Master's degree in business, technology, or related field
  • Background in top-tier management consulting (McKinsey, Deloitte, BCG, Bain) or equivalent strategy/ops experience
  • Experience in advertising, monetization, or B2B technology environments
  • Track record of successfully deploying into new organizations, rapidly learning the landscape, and delivering impact within weeks
  • Experience driving change and improving end-to-end processes at scale
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies

What the JD emphasized

  • Experience operating autonomously and efficiently in ambiguous, fast-paced settings
  • Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies
  • Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
  • Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)