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GenAI Project Manager, PDO

Meta

San Francisco, CAOn Site

Original Job Summary

Overview

Meta is seeking an experienced and motivated GenAI Project Manager, PDO to lead cutting-edge GenAI initiatives. Working within the Product Data Operations team, you will drive planning, execution, and delivery of strategic projects affecting machine learning and AI products at Meta.

Responsibilities

  • Lead and drive planning, execution, and delivery of GenAI projects.
  • Collaborate with research, engineering, and product teams.
  • Identify project risks, develop mitigation plans, and report progress.
  • Guide onshore and offshore vendors in data annotation projects.
  • Create project guidelines aligned with product strategies.

Qualifications

Minimum Qualifications:

  • 5+ years of experience in project management.
  • Proven experience delivering complex projects.
  • Strong communication and analytical skills.
  • Bachelor's degree or equivalent experience.

Preferred Qualifications:

  • Experience in consulting and product strategy.
  • Proven track record delivering large-scale programs.
  • Experience with SQL and advanced Excel/Google Sheets.
  • Background in AI, machine learning, or related fields.

About Meta

Meta builds technologies that help people connect, find communities, and grow businesses. The company is committed to innovation, diversity, and inclusive hiring practices.

Compensation & Benefits

Salary range: $93,000/year to $136,000/year plus bonus, equity, and benefits. Individual compensation is determined by skills, qualifications, experience, and location.

Key skills/competency

  • Project Management
  • GenAI
  • Data Operations
  • Leadership
  • Risk Mitigation
  • Stakeholder Management
  • Cross-functional Collaboration
  • AI
  • SQL
  • Strategic Planning

How to Get Hired at Meta

🎯 Tips for Getting Hired

  • Customize your resume: Tailor skills to Meta's GenAI projects.
  • Highlight leadership: Showcase your project management experiences.
  • Emphasize technical expertise: Include SQL and data operations skills.
  • Prepare succinct examples: Demonstrate complex project delivery.

📝 Interview Preparation Advice

Technical Preparation

Review SQL and data tools.
Practice advanced Excel functions.
Study AI and machine learning basics.
Understand project management software.

Behavioral Questions

Describe a project risk you managed.
Explain cross-team conflict resolution.
Discuss handling ambiguous project details.
Share experiences leading diverse teams.