Vision AI Programs Lead: Data & Ops Orchestration

Stord

United States

On-site

USD 180,000 - 240,000

Full time

12 days ago

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Job summary

Stord is seeking an experienced Technical Program Manager to own the operational backbone of a vision AI data program within Stord Labs. You will orchestrate cross-functional teams spanning engineering, Legal, Site Operations, and Finance to move ideas from hypothesis to production-ready data products.

You will design evaluation frameworks, lead hardware and vendor assessments, manage data pipelines from pilot capture through annotation and delivery, and ensure governance, privacy, and risks are

Qualifications

  • Bachelor’s degree or above in a technical discipline.
  • 8+ years of experience in Technical Program Management or similar roles.
  • Experience running CV, ML, or data pipeline programs end-to-end.

Responsibilities

  • Own the evaluation lifecycle with clear hypotheses and measurable success criteria.
  • Lead hardware and vendor evaluations including RFPs and scorecards.
  • Coordinate requirements across Legal, Site Operations, Finance, and warehouse operations.
  • Manage the data pipeline from pilot capture through annotation, validation, and secure delivery.
  • Engage with frontier AI and robotics partners and academic collaborators.
  • Ensure consent, privacy, and data rights are addressed with Legal throughout capture activities.

Skills

Cross-functional leadership
Agile execution
Data-driven decisions
Operational coordination

Education

Bachelor’s degree in Computer Science, Industrial Engineering, Electrical Engineering, Supply Chain, or related

Job description

Stord is seeking an experienced Technical Program Manager to own the operational backbone of a vision AI data program within Stord Labs. You will orchestrate cross-functional teams spanning engineering, Legal, Site Operations, and Finance to move ideas from hypothesis to production-ready data products.

You will design evaluation frameworks, lead hardware and vendor assessments, manage data pipelines from pilot capture through annotation and delivery, and ensure governance, privacy, and risks are

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