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Percepta

Cloud-based video analytics for shoplifting detection

Research Program Manager

Program ManagementPosted on Nov 9
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • Prior experience as a program or technical program manager supporting a research, machine learning, or other deeply technical organization with multiple parallel work streams.
  • Ability to read and reason about technical research content well enough to track dependencies and risk without conducting the research or setting its direction.
  • Ability to translate status and risk between research leads, engineers, product managers, and non-technical stakeholders.
  • Experience keeping complex, multi-team technical work on track and shipping, with outcomes measured rather than activity.

Responsibilities

  • Own the research organization’s operating rhythm, including roadmap tracking, milestone check-ins, status reporting, and recurring rituals that keep four research tracks legible to each other and to leadership.
  • Track dependencies across the four research tracks and proactively surface them.
  • Manage allocation of shared infrastructure, including compute, data access, and research engineering time across competing priorities, and escalate trade-offs rather than resolve them unilaterally.
  • Maintain an accurate view of commitments to customer-facing teams and commitments the research organization has made to ship, along with progress against both.
  • Coordinate timelines, internal review, and compliance for external research outputs where applicable, without owning the research content.
  • Build and maintain trackers, documents, and dashboards that help a fast-growing technical research team stay organized without unnecessary process.
  • Connect Research Leads, Embedded Product Managers, and Applied AI Engineers by ensuring they have the information they need.

About the Company

Percepta

Cloud-based video analytics for shoplifting detection

Percepta Labs builds cloud-based video analytics for retail loss prevention. It ingests retailers’ existing security camera feeds and uses action recognition and pose estimation to identify behaviors that could indicate shoplifting in real time, then assigns a probability that a theft is happening. The system emphasizes ethical AI by anonymizing demographic features (race, gender, age) to avoid bias and protect privacy. The product is sold to retailers to help reduce shrinkage and improve margins, with early testing claiming higher accuracy than human loss-prevention staff. Percepta’s growth has been supported by a major investment from ADT Commercial, which acquired the company and appointed its co-founder as ADT’s first Director of Artificial Intelligence. The company’s goal is to provide scalable, privacy-conscious video analytics that help retailers prevent theft more efficiently and cost-effectively.

Company size
1-10
Company stage
Seed
Total funding
$1M
Headquarters
New York City, New York
Founded
2019

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