United States only- Apply your expertise in quantitative analysis, data mining, and the presentation of data to see beyond the numbers and understand how our users interact with both our consumer and business products.
- Identify the opportunities most important for growth, to remove barriers for product adoption, retention, engagement, and/or monetization, and partner with our growth-focused engineering teams to execute on projects based on what’s identified to accelerate the growth and adoption of Meta Platforms, Inc. products in all the markets we serve.
- Understand funnels, ecosystems, user behaviors, and long-term trends in the adoption of our products to identity opportunities for step-changes and angle changes in growth.
- Define and analyze metrics that inform the success of products and allow us to monitor the heath of product adoption in the markets we serve.
- Communicate the state of business, experiment results, opportunities, etc. to product teams.
- Influence and inform product teams through presentation of data-based recommendations.
- Lead the product understanding process using data to identify opportunities to remove friction and accelerate growth and market adoption of our products.
- Lead the ideation and execution of product changes that drive growth, partnering with Product Management, Engineering, Design, Content Strategy and Data Science.
- Bring a deep understanding of growth and optimization best practices to growth focused engineering teams.
- Drive consensus and prioritize the road-map of the growth-focused engineering team to drive a ruthless focus on the most impactful ideas.
- Partner with product designers, who are also members of our growth-focused product and engineering teams, to ensure that designs incorporate known best practices, remove friction, and will be effective at increasing product adoption in the market.
- Partner with Engineering and Data Science to develop and implement experiments to test hypothesis for which changes will drive product adoption and growth.
- Analyze the results of experiments to determine what should launch or not.
- Learn from and iterate on those experiments by identifying additional opportunities to drive growth.
- Communicate and simplify concepts to build buy-in with the engineering team.
- Establish shared vision across the company for growth product optimizations by building consensus on priorities leading to major product improvements.
- Understand the competitive landscape facing Meta Platforms, Inc.
- products and relative position in the market, to inform the product growth strategy and design.
- Lead direct response communication efforts with users and potential users of Meta products
- choosing the best targeting, channel, and message to drive product adoption.
- Take product optimizations best practices that are known to be effective and implement them in other places.
- Optimize funnels to reduce friction and drive the best possible experience for users who are going through any product flows necessary to become users of our products and services.
- Lead product adoption efforts partnered with product growth teams, to effectively promote high retention experiences.
- Telecommuting permitted anywhere in the U.S.
- Requires a Master’s degree in Business Analytics, Information Management, Business Administration, Statistics, or a related field and 24 months of experience in Job offered or in a related occupation. Foreign degree equivalent accepted. Experience must include 24 months involving the following:
- 1. Working collaboratively with product team members, including product management, engineering, design, data science, and data engineering
- 2. Manipulating data sets through statistical software, such as R, SAS, or Pivot Tables
- 3. Product optimization work, including funnel and website optimization or outbound communication channels like email or push notifications
- 4. SQL
- 5. Product optimization or growth best practices
- 6. Making analytical, data-driven decisions and communicating the results of analyses
- 7. Statistics, including hypothesis testing, product experimentation, regressions, experimentation logic, and biases.
Individual pay is determined by skills, qualifications, experience, and location. Compensation details listed in this posting reflect the base salary only, and do not include bonus, equity or sales incentives, if applicable. In addition to base salary, Meta offers benefits. Learn more about benefits at Meta.
Australia
Singapore
Mexico
Canada
Colombia
Brazil
Argentina
Netherlands
Germany
Belgium
United Kingdom
Ireland
Denmark
United Arab Emirates
Switzerland
South Africa
Nigeria
Sweden
Spain
Italy
Norway
France
Czechia
Israel
Poland
New Zealand
India
Hong Kong
Indonesia
Malaysia
South Korea
China
Taiwan
Japan
GN and PG only
