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

Responsibilities

• Run the expert engagement lifecycle end to end: identification, onboarding, scheduling, and capture, so experts move from nomination to completed work without friction.
• Plan and run recurring capture cycles: set volume and quality targets by function, track progress on dashboards, and drive steady week-over-week progress.
• Own the workflow validation process with experts, so validated workflows are accurate, correctly scoped, and ready for capture.
• Manage partner communications.
• Own intake and prioritization of inbound partner requests, routing work to the right team and giving partners a single, clear point of entry.
• Run quality reviews of captured expert work, carry learnings into the next cycle, and route issues back to the right owner.
• Build the self-serve onboarding path: playbooks, guides, and tooling that let a new function get started in under a week.
• Track expert contributions and validations by function, report against targets, and surface risks early.
• Partner with Engineering and Product on capture tooling, so the experience works for non-engineering experts, and represent expert feedback as product requirements.
• Ensure participation is opt-in and sensitive workflows are captured within privacy and compliance guardrails, working with privacy and legal partners.
• Own the qualitative feedback loop and build the Voice of Customer program: collect input from experts and partner teams, route it to the right owners, and track it to resolution, so the program improves based on real experience.

Minimum Qualifications

• Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience
• 12+ 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

Preferred Qualifications

• 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

Compensation

• $199,000/year - $272,000/year; Country: US; Bonus eligible; Equity eligible

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