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Percepta

Cloud-based video analytics for shoplifting detection

Applied AI Engineer - Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeNew York, NY, USA

About the Job

Requirements

  • At least 7 years of experience building production software, including at least 2 years leading or managing engineers.
  • Continue writing code, with Python and TypeScript experience specifically required.
  • Demonstrate a track record of improving an engineer through management, with specific examples of the change.
  • Explain system design choices, likely constraints, and trade-offs.
  • Operate effectively in ambiguous situations and investigate unfamiliar systems proactively.
  • Apply product empathy by considering user needs, adoption costs, and workflow integration.
  • Demonstrate fluency with large language models as an engineering surface, including agents, tools, context, evaluations, and AI development tooling.
  • Give direct feedback while maintaining trust.
  • Communicate effectively with non-technical stakeholders, leading with the answer and then explaining caveats.

Responsibilities

  • Grow engineers by understanding their current capabilities and development goals, then assigning meaningful work that aligns their interests, development needs, and business needs.
  • Ramp direct reports by learning their working styles, providing substantial pairing in the first weeks, and co-attending customer meetings through shadowing, reverse shadowing, and their transition to leading meetings.
  • Give timely, specific, respectful feedback and hold bi-weekly one-on-ones, sequencing development areas over time.
  • Own the technical outcome across the team’s workstreams, including delegated work, and identify emerging issues before they become crises.
  • Make and document consequential technical decisions, including the rationale, assumptions, and decision ownership.
  • Set standards for code quality, testing, review rigor, and documentation, and review enough work to understand what is shipping.
  • Own the technical relationship with customers and provide a steady presence when issues arise.
  • Surface recurring field problems and push reusable solutions into Mosaic.
  • Interview candidates, help calibrate the hiring process, and shape hiring decisions.
  • Write code, review designs, pair with engineers on difficult technical work, and step in directly when a launch is at risk.

Desired Qualifications

  • Experience managing a team through a production launch in another organization’s enterprise environment.
  • Experience integrating with enterprise systems such as EHRs, ERPs, revenue cycle management, supply chain, or workforce systems.
  • Domain experience in healthcare, energy, manufacturing, or financial services.
  • Experience in forward-deployed, consulting, or design-partner work.
  • Experience building tools or frameworks used by multiple teams.
  • Startup or founding-engineer 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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