Facebook's mission is to give people the power to build community and bring the world closer together. Through our family of apps and services, we're building a different kind of company that connects billions of people around the world, gives them ways to share what matters most to them, and helps bring people closer together. Whether we're creating new products or helping a small business expand its reach, people at Facebook are builders at heart. Our global teams are constantly iterating, solving problems, and working together to empower people around the world to build community and connect in meaningful ways. Together, we can help people build stronger communities — we're just getting started.
In addition, the Facebook platform offers marketers limitless opportunities to reach consumers. Those same properties that make the Facebook platform an ideal place for consumers and marketers also make the platform an ideal place to do good measurement and marketing research. This role will be part of the Marketing Science organization that is focused on supporting our global small business organization through better understanding of how businesses can grow using our platforms through data and science. This team leader will be responsible for building and operating a team executing key media & measurement research programs intended to deliver strategies and insights that will help businesses grow.
With millions of advertisers on Facebook, Instagram, Messenger and Whatsapp around the world the potential impact you have to understand how businesses can grow using our platforms is massive. You will work closely with key cross-functional teams, our Marketing Science Experts regional teams and individual small businesses or agencies to run these programs. To succeed on this team you will need to develop data driven best practices as well as evolve how to execute and learn in the most scaled and efficient way. The ideal candidate will have a strong background in media or advertising effectiveness research methods along with a natural curiosity to understand how things work. They should be passionate about Facebook, analytically minded, a great communicator, and able to partner and influence across complex organizations. Most importantly they should have a deep experience building & leading teams.
This is a full-time position and is located in Menlo Park, CA, with global coordination responsibilities.
Hire, lead, and develop team of talented ad effectiveness researchers
Define goals, success & identify key KPIs for the team
Manage and evolve global operating model including budgeting, team growth and external partner relationships to service business
Design research programs that create clear understanding of how our advertising drives outcomes for key small business segments
Communicate results and illustrate suggestions in compelling and creative ways to leaders across the globe
Identify the best ways to scale ad effectiveness research programs
Identify (in partnership with SMB and other Marketing Science leaders) key areas of opportunity for the team to execute programs globally
Advocate for small businesses with product organizations in developing key products & measures for determining success of business outcomes
Lead third party research initiatives to generate understanding of advertising impact on small businesses
Bachelor’s degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field
10+ years experience in a quantitative research field, such as consulting, market research, media research
5+ years experience in managing high performing teams
Experience in building teams and engagement models across both internal and external stakeholders
Experience with ad effectiveness research from brand to direct response
Problem solving, analytical and quantitative analytical skills
Experience influencing and communicating with technical and business audiences at senior levels
Proven ability to define and lead strategy, set direction and execution priorities for a team and operate in evolving, sometimes ambiguous environment
Advanced degree in Economics, Statistics, Computer Science, Machine Learning, Applied Mathematics, Operations Research, Engineering, or similar quantitative field
Understanding of current media landscape and challenges small business advertisers face
Statistical analysis experience valuable, including but not limited to experimental design
Experience using programs like SQL, Hive, SPSS, SAS, R, Matlab, Tableau