The product data operations (pdo) team plays a critical role in product development at metaThe team provides data and insights that power machine learning and artificial intelligence at the core of all meta productsThe team partners closely with product and engineering teams and provides the human operational rigor required to support some of the most advanced technology at metaAs a project manager on the pdo team, you are responsible for managing data labeling, data collection, 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 organizationData labeling typically involves managing a vendor team to review content that will help engineers train or evaluate modelsThis also includes collaboration and communication with vendor partners across the organizationYou will be required to showcase excellent leadership, project management, problem solving, and communication to both internal and external colleagues at scaleAs a pdo project manager, you will lead the operations that support machine learning models and signal generation centering on understanding different aspects of community problems, content and understanding the quality of our detection modelsThis role is highly cross-functional and collaborative, requiring you to partner with product, engineering, data science, data engineering, and operations partnerships, among other teams.
Project manager, product data operations responsibilities:
Train and manage vendor partners across multiple projects in a highly cross-functional environment.
Drive project success metrics and timelines.
Directly manage the day-to-day, workflows, and metrics of vendor teams responsible for data labeling efforts.
Work with legal and become the subject matter expert for guidelines and policies partner with product teams on building out product roadmaps and signal generation/machine learning strategy.
Scope and define strategies for robust data collection at scale, leading data labeling efforts and insight generation.
Identify and lead opportunities to improve operational efficiencies, improve quality, and implement scalable solutions.
Help establish team goals and work with multiple stakeholders on strategies for executing, measuring progress, and reporting results.
Minimum qualifications:
5+ years of industry experience in a consumer-oriented product environment, consulting, operations, or project management role
Experience working in highly cross-functional environments in leadership roles
Executive presence and communications skills
Experience with data-driven decision making and problem solving
Proficient in excel
Preferred qualifications:
Experience with sql
Understanding of meta products
Proven understanding in history of team leadership roles
Experience with machine learning
Master`s degree in a related field
Facebook is proud to be an equal opportunity and affirmative action employerWe 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 characteristicsWe also consider qualified applicants with criminal histories, consistent with applicable federal, state and local law.facebook is committed to providing reasonable accommodations for candidates with disabilities in our recruiting processIf you need any assistance or accommodations due to a disability, please let us know at accommodations-ext@fb.com.
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Posted 25 days ago
