The Corporate Development team at Meta is responsible for sourcing, evaluating, negotiating, and executing M&A and strategic partnership opportunities. As a Strategy and Scouting Manager, you will collaborate with the broader Corp Dev team and business leaders across Meta to identify potential M&A targets, analyze ecosystem trends, and engage with the startup community. You will also partner with Deal Leads to evaluate business and M&A opportunities, conduct due diligence, perform market research, and drive deal execution. This role requires a strategic thinker with proven analytical skills, a passion for technology and innovation, and the ability to thrive in a fast-paced, collaborative environment. You will have the opportunity to make a significant impact on Meta’s growth and strategy.
Responsibilities
Identify, research, and recommend industries, companies, regional trends, and technologies for Meta’s M&A evaluation Stay current on the competitive landscape and internal product development to inform and influence M&A strategy Build and maintain relationships within the startup and investor ecosystem to proactively identify trends and M&A opportunities that accelerate Meta’s business objectives Serve as a core member of M&A deal teams, supporting all aspects of the process, including strategic and financial analysis, valuation, due diligence, and negotiation Develop and maintain financial models, dashboards, and presentations to track and analyze industry and prospective M&A opportunities Collaborate cross-functionally with product, legal, finance, and other teams to ensure successful deal execution
Qualifications
6+ years of experience in investment banking, management consulting, venture capital, or a related field, preferably covering internet, digital media, or mobile companies Bachelor’s degree Demonstrated ability to design, lead, and execute analyses and effectively communicate insights to stakeholders Familiarity with M&A processes, including deal structuring and negotiation Proven problem-solving skills, both independently and in group settings Ability to manage multiple priorities in a fast-paced environment while maintaining a high degree of organization and attention to detail 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