Project Manager, Product Data Operations (PDO)
Meta
Project Manager, Product Data Operations (PDO)
Job Description
This role is compelling due to its central role in driving the company's AI transformation, offering a unique opportunity to work on cutting-edge projects like integrating AI into operations and developing Synthetic Data as a Service. It provides a chance to directly influence the future of AI at Meta by designing AI-native labeling workflows and collaborating with product and engineering teams on LLM development.
Locations
- Austin, TX, USA
- Menlo Park, CA, USA
- New York, NY, USA
- San Francisco, CA, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI transformationintermediate
- integrating AI into operationsintermediate
- developing Synthetic Data as a Serviceintermediate
- designing AI-native labeling workflowsintermediate
- LLM developmentintermediate
- collaborating with product and engineering teamsintermediate
Required Qualifications
- BA/BS Degree -OR- equivalent industry experience 8+ years of proven experience successfully delivering complex projects and driving process or operational improvements Experience prioritizing under constraints, driving initiatives forward despite roadblocks, and managing multiple cross-functional stakeholders Proven problem-solving and analytical skills, including extensive experience evaluating, diagnosing, and fixing complex problems Executive presence and effective communications Track record of embracing ambiguity and operating effectively in a fast-paced environment Experience building, optimizing, and scaling programs Experience influencing executive level leadership across different domains Experience in consulting and product strategy Experience designing and deploying LLMs for service delivery Hands-on experience with LLMs, synthetic data generation, or data engineering for AI/ML Proven track record of taking AI/ML solutions from concept to production in large-scale environments Demonstrated proficiency analyzing and working with data Experience building and driving initiatives in an evolving environment with fast-moving technologies (experience, 8 years)
Responsibilities
- Contribute to a team focused on the design, deployment, and scaling of Synthetic Data as a Service to accelerate AI/ML development Build and optimize AI-native labeling workflows and data-driven processes to enhance data quality and model performance Collaborate with product and engineering teams to understand LLM development and data needs, designing services that meet evolving requirements Drive end-to-end project delivery, from planning through production deployment, ensuring alignment with strategic goals Identify and mitigate program risks, communicate updates to stakeholders, and implement scalable operational solutions
Tags & Categories
Project Manager, Product Data Operations (PDO)
Meta
Project Manager, Product Data Operations (PDO)
Job Description
This role is compelling due to its central role in driving the company's AI transformation, offering a unique opportunity to work on cutting-edge projects like integrating AI into operations and developing Synthetic Data as a Service. It provides a chance to directly influence the future of AI at Meta by designing AI-native labeling workflows and collaborating with product and engineering teams on LLM development.
Locations
- Austin, TX, USA
- Menlo Park, CA, USA
- New York, NY, USA
- San Francisco, CA, USA
- Remote, US, USA (Remote)
Salary
Estimated Salary Rangemedium confidence
12,000,000 - 35,000,000 INR / yearly
Source: ai estimated
* This is an estimated range based on market data and may vary based on experience and qualifications.
Skills Required
- AI transformationintermediate
- integrating AI into operationsintermediate
- developing Synthetic Data as a Serviceintermediate
- designing AI-native labeling workflowsintermediate
- LLM developmentintermediate
- collaborating with product and engineering teamsintermediate
Required Qualifications
- BA/BS Degree -OR- equivalent industry experience 8+ years of proven experience successfully delivering complex projects and driving process or operational improvements Experience prioritizing under constraints, driving initiatives forward despite roadblocks, and managing multiple cross-functional stakeholders Proven problem-solving and analytical skills, including extensive experience evaluating, diagnosing, and fixing complex problems Executive presence and effective communications Track record of embracing ambiguity and operating effectively in a fast-paced environment Experience building, optimizing, and scaling programs Experience influencing executive level leadership across different domains Experience in consulting and product strategy Experience designing and deploying LLMs for service delivery Hands-on experience with LLMs, synthetic data generation, or data engineering for AI/ML Proven track record of taking AI/ML solutions from concept to production in large-scale environments Demonstrated proficiency analyzing and working with data Experience building and driving initiatives in an evolving environment with fast-moving technologies (experience, 8 years)
Responsibilities
- Contribute to a team focused on the design, deployment, and scaling of Synthetic Data as a Service to accelerate AI/ML development Build and optimize AI-native labeling workflows and data-driven processes to enhance data quality and model performance Collaborate with product and engineering teams to understand LLM development and data needs, designing services that meet evolving requirements Drive end-to-end project delivery, from planning through production deployment, ensuring alignment with strategic goals Identify and mitigate program risks, communicate updates to stakeholders, and implement scalable operational solutions
Tags & Categories