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Percepta

Cloud-based video analytics for shoplifting detection

Product Engineer

Software EngineeringConfirmed live in the last 24 hours
Full-timeNew York, NY, USAIn-person

About the Job

Requirements

  • At least 5 years of experience building production software, ideally including taking a product or system from zero to one.
  • Fluency in Python and TypeScript.
  • Ability to create abstractions when needed and maintain their usability over time.
  • Ability to explain who a product is for, why it matters, and how it can be sold.
  • Ability to work in ambiguous problem spaces and exercise judgment about when to align rather than proceed independently.
  • Strong communication skills, including the ability to convince customers and other stakeholders.
  • Comfort working with customers periodically and shipping into another organization's environment.

Responsibilities

  • Embed with a customer team and ship production delivery work to ground product decisions in real-world context.
  • Take an idea from inception to a deployable, usable product and make the case for it to stakeholders who would invest in it.
  • Generalize and harden prototypes into products and drive adoption across multiple customer accounts.
  • Own the roadmap, rollout plan, and outcomes for products built.
  • Build reusable work with clear ownership, well-defined interfaces, and readable code.
  • Contribute reusable components to Mosaic so future deployments can build on prior work.
  • Stay engaged with customers after launch to support adoption.

Desired Qualifications

  • Experience with workflow orchestration or task execution frameworks.
  • Experience building internal developer platforms.
  • Deep domain experience in healthcare, energy, manufacturing, or financial services.
  • Prior forward-deployed, consulting, or design-partner experience.

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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