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Project Manager – Product Data Operations

Project Manager – Product Data Operations

CompanyMeta
LocationMenlo Park, CA, USA
Salary$153261 – $156750
TypeFull-Time
DegreesMaster’s
Experience LevelJunior, Mid Level

Requirements

  • Master’s degree(or foreign degree equivalent) in Computer Science, Computer Engineering, Electronic Engineering, Business Administration, Information Systems, or a related field and one year of work experience in the job offered or in an engineering-related occupation.
  • Requires one year of experience in the following: 1. Project management 2. Labeling workflow management 3. Process documentation writing skills and document management 4. Audience-based communication skills, AND 5. Vendor management experience.

Responsibilities

  • Tackle complex problems holistically, solving for problems end to end, not just within immediate scope that have significant business impact.
  • Identify interdependencies across teams and proactively clarifies roles or any potential issues to ensure everyone solves problems consistently.
  • Ability to lead and complete several complex to highly complicated projects, including mentoring others on the team through their projects.
  • Exhibit excellent, articulate, persuasive, concise written and verbal communication skills.
  • Lead the operations services that support machine learning models, signal generation centering on identify understanding different aspects of community problems, content and understanding the quality of our detection models.
  • Partner with Product, Engineering, Data Science, Data Engineering, and various Operations cross functional stakeholders.
  • Partner with product teams by contributing to product roadmaps and signal generation/machine learning strategy.
  • Define/scope operational strategies for scaled robust data collection model, manage and optimize data labeling efforts and insight generation.
  • Manage and scope multiple projects in a highly cross-functional environment.
  • Drive project success metrics and timelines.
  • Identify and deliver operational efficiencies by improving process quality and implementing scalable solutions.
  • Contribute to operational goals and stakeholder strategies: Execute on new service needs, manage metrics to target requirements, report progress to stakeholders and track issues with vendor teams.
  • Manage day-to-day escalations from product team or support vendors, workflows, and various metrics.

Preferred Qualifications

    No preferred qualifications provided.