Development and Adoption System Manager, Global Operations

Meta is seeking a Development and Adoption System Manager to join the Global Operations Systems team. You will manage a team of solution architect managers responsible for strategy definition, design, delivery, and adoption of internal tooling necessary for different lines of business (e.g. Product Data Operations; Product Operations; Integrity and Support Operations) to achieve their organizational objectives, in collaboration with product and engineering teams.We are in the midst of a fundamental transformation of our tooling. As the leader of a high impact team, you will be at the heart of driving this transformation focusing on strategy definition and key technical developments. In close partnership with engineering, product and other cross-functional teams, you will lead your team to translate tooling problem statements into strategy, technical requirements, design solutions with product and engineering, and deploy key solutions that meet current and future business needs. Doing so will require aligning and leading large cross-functional teams and programs.

Development and Adoption System Manager, Global Operations Responsibilities:

• Build and lead a team of Solution Architect Managers focused on internal tooling development, through rapid infrastructure, tooling, and product growth
• Manage, mentor, and grow the existing team while fostering a healthy, and productive team
• Define strategic tooling direction and optimize tooling stack
• Drive end-to-end execution and delivery of technical programs from ideation, technical and data analysis, system design, development, testing, and implementation and post-implementation
• Implement scalable systems that align with business objectives, mapping supporting data structures to drive informed decision-making and measurable customer outcomes
• Develop a technical understanding of system architecture and data flows to identify opportunities for optimization, ensuring seamless integration and effective measurement of key performance indicators
• Craft technical programs where none existed, pulling disparate and often complex components together
• Drive strategy and execution of the program by building alignment, managing dependencies, mitigating risks, and communicating clearly
• Forge partnerships with technical and business leaders across the company, ensuring that team resource investments align with company priorities. This requires navigating conflicting priorities, competing resources, quickly evolving business needs, and the AI landscape
• Lead from the front by leveraging your technical proficiency to proactively identify and analyze complex, long-term, critical tooling challenges with engineering leaders and stakeholders
• Structure and optimize the team for effective execution, including attracting talent and swiftly filling gaps in the existing team to facilitate growth
• Build and lead an organization centered on customer focus and effective communication, emphasizing decisive, fast-moving solutions, quick and constructive conflict resolution

• B.S. in Computer Science or a related technical discipline, or equivalent experience
• 10+ years of software industry experience, including systems engineering, consulting, or technical product/program management experience
• 2+ years of experience managing, leading, and coaching teams to deliver technical programs or products from inception to delivery
• Experience in organizational coordination and establishing work relationships across multi-disciplinary teams and partners in different time zones
• Experience in analytical thinking and problem-solving with large-scale systems, proven track record in delivering technology programs or products from inception to delivery, understanding user needs, gathering requirements, and defining scope
• Experience operating across multiple teams, demonstrating critical thinking and thought leadership
• Experience communicating and collaborating with technical management teams to develop systems, solutions, and products
• Experience in AI, machine learning, or related fields