Apply

Product Manager, Content Ops Labeling

Posted 12 days agoViewed

View full description

💎 Seniority level: Manager, 2-3 years

📍 Location: United States

💸 Salary: 164200.0 - 229900.0 USD per year

🔍 Industry: Software Development

🏢 Company: Reddit👥 1001-5000💰 $410,000,000 Series F over 3 years ago🫂 Last layoff almost 2 years agoNewsContentSocial NetworkSocial Media

⏳ Experience: 2-3 years

🪄 Skills: Project ManagementPythonSQLAgileData AnalysisMachine LearningProduct ManagementCross-functional Team LeadershipProduct DevelopmentAlgorithmsAPI testingREST APICommunication SkillsAnalytical SkillsProblem SolvingData visualizationStakeholder managementData modeling

Requirements:
  • 2-3 years of product management experience
  • 1-3 years content labeling experience
  • Experience developing internal tools or workflows from 0 to 1
  • Experience with high volumes of labeling data, understand user management and queue-based review systems
  • Strong analytical and problem solving skills, including a willingness to roll up your sleeves and dive into the minutia. Ability to use SQL is a strong asset
  • Passion and drive for testing and learning at a fast pace
  • Know how to define team goals and success metrics and ensure that we are tracking towards improvements that align with Reddit's wider business objectives
  • Compelling influencer with great communication and interpersonal skills with the ability to align a diverse group of stakeholders towards a common goal
  • Direct exposure & a degree of domain expertise in Machine Learning applied to content discovery
Responsibilities:
  • Develop and execute a product vision and strategy for labeling/annotation projects, with a focus on increasing the efficiency and scale of human judgment while maintaining high data labeling quality
  • Maintain and communicate a prioritized roadmap to support Content Ops Labeling and company strategic initiatives
  • Design and implement ML-assisted tooling for workflow and labeling solutions
  • Understand operator pain points and define product requirements to address them
  • Ensure end-to-end delivery of high-quality datasets that meet project objectives
  • Work closely with developers, product managers, and labeling team members to understand problems, capture new ideas and manage a prioritized backlog of requirements
  • Participate in quarterly planning sessions to define initiatives, resolve dependencies and perform data-driven prioritization
  • Develop and maintain documentation for labeling processes and best practices
  • Define and track key performance indicators (KPIs) for labeling projects, such as accuracy, speed, and cost
Apply