About the role:

The Safety team is pioneering the application of AI to make physical operations safer at global scale. We build intelligent systems that combine computer vision, VLMs, sensor data, environmental context, and behavioral patterns to detect risk and prevent accidents before they happen for some of the largest, most complex physical operations companies in the world. We’re looking for an entrepreneurial, technically-minded Product Manager to take one of our largest and fastest-growing businesses - Video-based Safety - to the next level. This is a high-ownership role launching and scaling new safety products for our customers, leveraging data from our millions of deployed devices.

In this role, you’ll define and build the core components of our perception and prediction stack, deepening our understanding of the road, environment, and surrounding vehicles and using that understanding to change driver behavior. You'll be empowered to experiment boldly, challenge conventional thinking, and demonstrate the transformative power of AI when applied to the most challenging and complex operational environments.

We’re looking for someone with a high degree of customer-obsession and a passion for changing the physical world. The ideal candidate has spent time as a founder or early startup engineer / PM with deep experience applying AI/ML to solve customer problems, and has led at-scale products. You'll collaborate closely with our dedicated teams in Engineering and Design, as well as work cross-functionally with Sales, Marketing, and Customer Success to propel our video-based safety product to its next phase of growth.

Our ambitions for this product are high, and we're excited to invite you to join us!

This is a remote position open to candidates residing in Canada.

You should apply if:

• You want to impact the industries that run our world: Your efforts will result in real-world impact—helping to keep the lights on, get food into grocery stores, reduce emissions, and most importantly, ensure workers return home safely.
• You are the architect of your own career: If you put in the work, this role won’t be your last at Samsara. We set up our employees for success and have built a culture that encourages rapid career development, countless opportunities to experiment and master your craft in a hyper growth environment.
• You’re energized by our opportunity: The vision we have to digitize large sectors of the global economy requires your full focus and best efforts to bring forth creative, ambitious ideas for our customers.
• You want to be with the best: At Samsara, we win together, celebrate together and support each other. You will be surrounded by a high-calibre team that will encourage you to do your best.

In this role, you will:

• Define and lead the roadmap for core components of Samsara’s perception stack running on millions of vehicles worldwide.
• 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.
• 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.
• Build relationships with customers at the forefront of physical operations to deeply understand their business, their needs, and inform our roadmap.
• Lead by example in using AI tools to accelerate product development, customer research, and decision-making.
• 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.

Minimum requirements for the role:

• 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.

An ideal candidate also has:

• 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.