Manager, Product Management, Data Cloud

Manager, Product Management, Data Cloud
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Menlo Park, CA
Meta connects almost 3 billion people and the Data Infrastructure (DI) product team is responsible for building the software to collect, store, analyze and act on the big data stream collected across Meta products that are used by billions of people globally and by data centers, servers, and services that power our products. We run one of the world's largest scale systems in the world all the way from where data is logged to the applications where the data is visualized. This data helps us build better Meta products, to keep our services always on, and to keep customers safe and their data private. The software the DI teams build, which includes data processing and storage, data warehouses, data lakes, dashboards, data exploration and incident management tools, is used by over fifty thousand Meta employees who get insights from our tools to do ad-hoc analysis of data at scale and monitor this data for anomalies. A large number of these are data developers–software engineers, production engineers, data engineers and data scientists. Within the Data team, the Cloud Data, Compute and Storage team’s mission is to build Big Data technologies, including our query engines, data orchestration, language APIs and data lake storage for all data processing at Meta. For example, for Facebook and Instagram, interactions between people and pages they like is an example of the collection and storage of large datasets, and where data can be modeled as graphs. This team builds the underlying data management stack so that Implementing analytics on top of the data can offer useful insights about Meta products, such as improving the way we recommend friends. Suggestions you see in Meta products, like Pages You May Like or People You May Know, are powered by features computed with APIs, services and tools built by this team. We are looking for a manager of Product Managers to take the lead on a broad and complex problem domain that started in the data warehousing and compute space, expanded to storage, and spans multiple pillars of independent teams. Immediately, you will be hiring PMs, and working with engineering teams, to define the vision, strategy and plans to improve Meta’s cloud data and data processing technologies. A key opportunity you may also get is leading expansion by defining an M&A strategy, which is a unique career path among PMs at Meta.
Manager, Product Management, Data Cloud Responsibilities
  • Hire, support and grow a team of 5 product managers.
  • Inbound product management for all data processing engines at Meta such as Presto and Spark. Includes managing customer requirements, setting and communicating product strategy, defining execution goals, prioritizing features, and shaping engineering and design work.
  • Outbound product management for developer or data engineering personas–ship features via early adopter programs and release planning, and orchestrate product launches at Meta via blogs, posts, release notes, and demos.
Minimum Qualifications
  • Full lifecycle product management from concept to delivery. Includes inbound, outbound, and cross-functional product management with partners such as Design, Data Science, and Technical Program Management teams.
  • Experience building products for software engineers, data engineering, and data scientist user personas.
  • Experience articulating the use of big-data tools such as Apache Spark, Amazon Presto, Amazon Redshift, and data warehousing, data lake or data integration products such as Databricks, Cloudera, Snowflake or Informatica.
  • Effective communication demonstrated by public posts on LinkedIn, clearly showing experience conveying complex technical ideas simply.
  • Demonstrated experience and techniques in accelerating software development via precise planning and execution via goals and objectives.
  • Minimum of 4 years experience as an individual contributor PM.
  • Minimum of 2 years experience managing Product Managers.
Preferred Qualifications
  • Experience in building Big Data grade products and services, e.g. Databricks, Amazon Redshift, Cloudera, Google BigQuery, or Snowflake.
  • Software or other engineering experience, especially in the area of Developer Tools, or Artificial Intelligence.
  • Degree in Computer Science, or Engineering, or equivalent years in software engineering.
  • 4+ years experience managing Product Managers.
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About Meta
Meta builds technologies that help people connect, find communities, and grow businesses. When Facebook launched in 2004, it changed the way people connect. Apps like Messenger, Instagram and WhatsApp further empowered billions around the world. Now, Meta is moving beyond 2D screens toward immersive experiences like augmented and virtual reality to help build the next evolution in social technology. People who choose to build their careers by building with us at Meta help shape a future that will take us beyond what digital connection makes possible today—beyond the constraints of screens, the limits of distance, and even the rules of physics.
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