Senior Manager, Safety AI

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

Senior Manager, Safety AI at Samsara, leading teams focused on end-to-end computer vision and machine learning for AI dash cameras. The role involves detecting, interpreting, and surfacing actionable safety events and continuous risk signals by fusing on-device computer vision with other vehicle data. Responsibilities include owning the model lifecycle from data curation to deployment and monitoring, developing the core AI platform, and partnering with other teams to ship low-latency features. The role requires experience leading large teams and building/deploying large-scale ML systems.

What you'd actually do

  1. Lead teams of scientists and engineers working on CV, sensor fusion, and ML.
  2. Help architect, build, and improve solutions for hybrid cloud-edge ML.
  3. Actively contribute to building the roadmap for AI products at Samsara.
  4. Stay connected to industry and academic research and adopt novel technology that suits Samsara’s needs.
  5. Champion, role model, and embed Samsara’s cultural principles (Focus on Customer Success, Build for the Long Term, Adopt a Growth Mindset, Be Inclusive, Win as a Team) as we scale globally and across new offices.
  6. Hire, develop and lead an inclusive, engaged, and high performing team.

Skills

Required

  • BS or MS in Computer Science or other technical degree.
  • 7+ years relevant technical experience with AI systems.
  • 6+ years relevant software engineering work experience.
  • 5+ years of experience leading large software and science teams including senior ICs.
  • Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.
  • Comfortable leading full-stack / backend development in addition to science and research.

Nice to have

  • MS or PhD in Computer Science or other technical degree.
  • Proven track record for innovation and delivering value to customers using AI.
  • Customer orientation and intensive focus on improving the customer experience.
  • Experience building, deploying, and optimizing AI systems than span edge devices and the cloud.
  • Experience building products and solutions that rely on CV or sensor fusion.

What the JD emphasized

  • 5+ years of experience leading large software and science teams including senior ICs.
  • Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.
  • Experience building, deploying, and optimizing AI systems than span edge devices and the cloud.

Other signals

  • end-to-end computer vision and machine learning
  • real-time driver safety insights
  • in-cab alerts
  • hybrid cloud-edge ML
  • fleet scale