Technical Program Manager, Expert Engagement and Voice of Customer (AI)

Meta; Menlo Park (CA); On-site; USD 190,000 - 230,000; Full time

Job summary

Meta is building AI agents to automate routine professional work across Finance, Legal, People, Sales, and more. This Technical Program Manager role runs the expert engagement program end-to-end, onboarding experts, capturing their work, and turning outcomes into measurable results for partner teams.

You will own the Voice of Customer program, transforming feedback into product and process improvements, and you will be the operational engine coordinating across multiple teams and external

Qualifications

• 12+ years in technical program management or equivalent.
• Experience delivering programs end-to-end across multiple teams.
• Ability to build dashboards to track progress.
• Experience with data privacy and compliance in workflows.
• Proven ability to scale expert networks and operations.

Responsibilities

• Identify experts for priority workflows and onboard them.
• Capture expert work at high quality and translate to actionable results for partner teams.
• Own Voice of Customer program and drive product/process improvements.
• Interface with partner organizations and scale engagement model.
• Define metrics and report on portfolio performance.

Skills

Technical program management

Cross-functional leadership

Analytics & dashboards

AI tools integration

Stakeholder management

Education

Bachelor's degree in Computer Science or related field

Tools

SQL

Tableau

Excel

Job description

Meta is building AI agents that take on routine professional work across functions like Finance, Legal, People, Sales etc. so teams can focus on judgment and strategy. Our models learn how this work is done from the experts who do it: experienced professionals who opt in to show how they complete their workflows, which we turn into standardized workflows, evaluations and training data that make Meta's own AI models better at professional work.

This Technical Program Manager runs our expert engagement program end to end: identifying the right experts for each priority workflow, onboarding them, capturing their work at high quality, and turning each round of work into results partner teams can see. You will also own the Voice of Customer program, turning feedback from experts and partner teams into improvements to our products and processes. You'll be the operational engine of the program and the primary interface with partner organizations, building a repeatable engagement model that scales without hand-holding every expert.

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience12+ years of experience in technical program management, software engineering, or systems engineering, with demonstrated ownership of portfolio-defining programs across multiple engineering organizations
• Experience delivering technical programs from inception to delivery
• Experience running recurring operational programs with volume and quality targets, and reporting against them
• Experience operating autonomously across multiple teams, with demonstrated critical thinking and thought leadership
• Experience building relationships with non-technical stakeholders and senior partners across functions
• Organizational, coordination, and multi-tasking experience
• Analytical and problem-solving experience, including defining metrics and building dashboards to track progress
• Experience working with product and engineering teams to translate user friction into product requirements
• Experience running data collection, annotation, or human-in-the-loop programs at scale
• Experience designing onboarding or enablement motions that scale to new teams without bespoke support
• Experience running programs with external or cross-functional contributors, such as expert networks, user research panels, or annotation vendors
• Familiarity with data privacy and compliance handling for sensitive workflows
• Demonstrated ability to integrate AI tools to optimize/redesign workflows and drive measurable impact (e.g., efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (e.g., risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (e.g., prompt/context engineering, agent orchestration) and staying current with emerging AI technologies