Director of Product, AI

Evolv Technologies Inc.•Waltham, MA

1d•$162,000 - $258,000•Hybrid

About The Position

Evolv Technology is looking for a Director of Product, AI, a senior individual contributor who will work at the center of our AI engineering and research teams to build the industry's best weapons detection and computer vision capabilities. You will get deep into the mechanics of how we collect data, define annotation standards, evaluate models, run field trials, and deploy detection systems into the real world, translating that work into product decisions to keep people safe. You will embed directly with AI engineering as the product lead for our detection capabilities, operating with the technical depth to make and defend decisions about data, models, and evaluation methodology.

Requirements

8+ years of product management experience, including ownership of AI, machine learning, or computer vision products from strategy through production
Experience bringing AI or computer vision systems to production in security, safety-critical, or other detection applications where accuracy and reliability matter
Strong understanding of AI and computer vision architectures, model evaluation, data pipelines, and technical trade-offs
Experience defining data collection, annotation, validation, and dataset quality standards
Experience deploying and improving ML systems on physical or edge hardware
Track record of leading cross-functional decisions across research, engineering, field operations, legal, and customer-facing teams
Ability to translate technical complexity and business constraints into clear product decisions and priorities
Experience designing field trials and using customer and performance data to inform product and release decisions

Nice To Haves

Experience with regulatory/compliance considerations around representing AI performance externally
Embedded or edge hardware background
Time spent in physical security, public safety, or critical infrastructure

Responsibilities

Define data collection strategy: what scenarios, environments, and threat types need more or better training data
Own annotation guidelines in partnership with AI engineering
Partner with AI engineering on training methodology and validation approach
Define and own model evaluation metrics specific to weapons detection (false positive/negative rates, detection latency, throughput under real-world load) and the standards for when a model is ready to ship
Design and run field trials with prospects and customers; use real-world trial results for product iteration
Collaborate closely with AI researchers and engineers to define product vision and technical roadmaps
Evaluate diverse AI models and technical approaches to select the optimal solution for specific security challenges
Analyze trade-offs across latency, accuracy, compute cost, and hardware constraints, and make explicit decisions
Oversee feature development from early experimentation through full production deployment
Work with design and product teams to integrate AI capabilities into intuitive customer- and operator-facing workflows
Partner with legal/compliance on how detection performance is represented externally to customers and the market