The Product Data Operations team plays a critical role in product development at Meta.
The team provides data and insights that power machine learning and AI at the core of all Meta products.
The team partners closely with product and provides the human operational rigor required to develop some of the most advanced technology at Meta.
As a Project Manager on the PDO team, you are responsible for managing data labeling and annotation programs end-to-end, working cross-functionally to improve existing data labeling and annotation projects, proactively surfacing insights and providing recommendations for product improvement, and actively engaging with colleagues and partners to enhance operational processes across the organization.
You will be required to showcase excellent leadership, project management, problem solving, and communication to both internal and external colleagues at scale.
Project Manager, Product Data Operations Responsibilities:
Manage and scope out multiple projects in a highly cross-functional environment.
Drive workflow/project success metrics and timeline.
Scope and define strategies for robust data collection at scale, contributing to data labeling and annotation efforts.
Work cross-functionally to build datasets that support Product and Engineering, while collecting and analyzing results.
Engage in strategic discussions to identify problems while measuring and improving the quality of workflows.
Identify opportunities to improve tooling and implement scalable solutions.
Help establish team goals and work with multiple stakeholders on strategies for executing, measuring progress, and reporting results.
Directly manage the day to day, workflows, and metrics of a vendor team responsible for data labeling efforts.
Minimum Qualifications:
2+ years of industry experience in a consumer-oriented product environment, consulting, or operations role
Experience working independently and a track record of taking initiative
Communication and presentation experience
Experience analyzing and solving problems
Experience with Excel
Preferred Qualifications:
Experience with SQL
Understanding of Facebook and Instagram products
Experience working with data sets
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.
Meta is proud to be an Equal Employment Opportunity and Affirmative Action employer.
We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
We also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.
Meta participates in the E-Verify program in certain locations, as required by law.
Please note that Meta may leverage artificial intelligence and machine learning technologies in connection with applications for employment.
Meta is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process.
If you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.
com.
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