Senior/principal Product Manager - Safety AI

Samsara Samsara · Enterprise · San Francisco, CA · Remote · Safety

Product Manager for Safety AI at Samsara, focusing on leveraging AI/ML, computer vision, and VLMs to improve safety in physical operations. The role involves defining and scaling AI-powered safety products, developing perception and prediction models, and understanding driver behavior and crash risk. It requires a strong technical background and experience with AI/ML product delivery, with an emphasis on video data and foundation models.

What you'd actually do

  1. Define and lead the roadmap for core components of Samsara’s perception stack running on millions of vehicles worldwide.
  2. Develop AI/ML models that enable Samsara to have a comprehensive understanding of driver behavior and crash risk and interventions required to reduce that risk.
  3. Work with our talented engineering teams to conceptualize and launch new safety products to help drive a fast-growing, at-scale business with $1 Billion+ in ARR.
  4. Build relationships with customers at the forefront of physical operations to deeply understand their business, their needs, and inform our roadmap.
  5. Lead by example in using AI tools to accelerate product development, customer research, and decision-making.

Skills

Required

  • 7+ years in a product management and/or product-oriented engineering role
  • Track record of delivering business results for both 0-to-1 and at-scale products
  • Demonstrated experience and passion working on products that leverage state of the art AI/ML/CV
  • Strong technical background, ability to grasp technical concepts, and establish credibility with engineers
  • Experience balancing priorities across a complex set of business goals and engineering teams

Nice to have

  • Deep experience creating and growing products leveraging video data
  • Facility with development and deployment of AI/ML models, including training and evaluation pipelines
  • Understanding or experience with foundation models, model quantization and distillation
  • Experience in autonomous vehicles, robotics, physical operations, or on products with a vertically integrated hardware + software stack
  • Familiarity with B2B SaaS products and working with B2B sales teams

What the JD emphasized

  • state of the art AI/ML/CV
  • AI/ML/CV
  • AI/ML
  • AI tools

Other signals

  • AI/ML for safety
  • Computer Vision
  • VLMs
  • Sensor data
  • Behavioral patterns
  • Risk detection
  • Accident prevention
  • Video-based safety
  • Perception and prediction stack
  • Driver behavior
  • Crash risk
  • Foundation models
  • Model quantization
  • Distillation