TPM - SME Onboarding, Engagement and Voice of Customer

Responsibilities

• Run the SME engagement lifecycle end to end: identification, onboarding, scheduling, and capture, so experts move from nomination to completed demonstration without friction.
• Plan and run recording batches: define the batch plan, set volume and quality targets by domain, track progress on a dashboard, and drive week over week velocity without last-day surges.
• Own the workflow validation process with SMEs, so validated workflows are accurate, correctly grained, and ready for capture.
• Manage partner communications: roadmaps, batch results, and regular updates to ATA XFN pod POCs and partner function leads.
• Own intake and prioritization of inbound partner requests, routing work to the right domain workstream and keeping one front door for partners.
• Run quality reviews of captured demonstrations, drive follow-up learnings into the next batch, and route failures 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 demonstrations and validations per batch by domain, report against targets, and surface risks early.
• Partner with Engineering and Product on capture tooling, so the experience works for non-engineer experts, and represent SME feedback as product requirements.
• Ensure sensitive workflows are captured within privacy and compliance guardrails, working with privacy tooling and review partners.
• Own the qualitative feedback loop and stand-up the “Voice of Customer” workstream: 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 of Computer Science or a related technical discipline, or equivalent experience
• 7+ years of software engineering, systems engineering, hardware engineering, or technical product/program management experience
• 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
• Familiarity with data privacy and compliance handling for sensitive workflows
• Demonstrated ability to integrate AI tools to optimize or redesign workflows and drive measurable impact (for example efficiency gains, quality improvements)
• Experience adhering to and implementing responsible, ethical AI practices (for example risk assessment, bias mitigation, quality and accuracy reviews)
• Demonstrated ongoing AI skill development (for example prompt and context engineering, agent orchestration) and staying current with emerging AI technologies
• 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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