Senior Manager, Safety AI

• Own the technical direction for Samsara's on-device and cloud safety AI systems - making architectural decisions about what runs on constrained edge hardware vs. cloud, how models are packaged and deployed across more than 2M dashcams, and how the data flywheel is built to drive continuous improvement.

• Lead the transition from individual model deployments to a coherent, system-level platform - one that fuses camera, IMU, GPS, and vehicle telemetry data to detect, interpret, and surface safety events with high precision and low latency.

• Evaluate and integrate emerging AI capabilities (e.g. VLMs, foundation models, multi-task architectures) and determine when they are ready to move from research to production at fleet scale.

• Partner with product and full-stack teams to define, scope, and ship safety features that reduce accident rates, improve driver coaching outcomes, and deliver quantifiable value to fleet operators.

• Lead experiment design, offline/online evaluation, and go/no-go decisions for new ML-powered features - grounding every launch in real safety metrics, not just model performance benchmarks.

• Own the full model lifecycle: data curation, training, evaluation (shadow and online experiments), deployment, monitoring, and iteration on a continuous improvement loop.

• Lead and grow a team of applied scientists and engineers across CV, sensor fusion, edge ML, maintaining a culture of high technical standards and strong delivery.

• Hire, coach, and develop senior ICs and early-career talent; create growth paths across both technical and leadership tracks.

• Operate as a tech lead manager: setting the architectural direction while staying hands-on enough to review modeling approaches, unblock technical decisions, and maintain credibility with your most senior engineers.

• 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.

• 8+ years of experience in applied ML or computer vision, with a strong track record of shipping models to production in real-world systems.

• 5+ years leading technical teams of scientists and engineers, including senior ICs - with demonstrated ability to set technical direction, not just manage delivery.

• Experience shipping CV and/or sensor fusion systems that fuse multiple data streams (e.g. camera, IMU, GPS, telemetry) in production environments.

• Demonstrated ability to navigate science-engineering tension: you know when to hold the platform line and when to adapt for research velocity, and you can communicate trade-offs clearly to both sides.

• Experience building and deploying large-scale machine learning systems with feedback loops for continuous improvement.

• 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 with VLMs, foundation models, or multi-task architectures in production settings - particularly in constrained compute environments.

• Background in AV, robotics, or fleet telematics domains where safety and reliability are first-class requirements.

• Contributions to or deep familiarity with the academic research literature in CV and perception and the ability to evaluate what's worth bringing in from research and what isn't.

• MS or PhD in Computer Science, Electrical Engineering, or a related technical field.

The range of annual base salary for full-time employees for this position is below. Please note that base pay offered may vary depending on factors including your city of residence, job-related knowledge, skills, and experience. This role is also eligible for an initial RSU grant with no vesting cliff, and ongoing refresh opportunities tied to performance, subject to plan terms and conditions. Learn more about our total rewards and benefits below.

Annual Base Salary $178,640 - $287,100 USD