Senior Product Manager - Safety AI

About the role:

We are looking for an exceptional Senior Product Manager to take a key role within one of our largest and fastest-growing businesses: Video-based Safety.

Safety is not just a feature; it is the core platform differentiator and a critical reason why customers choose Samsara. This role is at the cutting edge of Applied AI and Computer Vision, operating at an incredible scale. Your team will be the driving force behind the next generation of our AI-powered features, which leverage trillions of data points from our fleet to proactively identify driving risks, prevent accidents, and save lives. This is a chance to move beyond incremental optimization and ship a product that defines the future of AI in industrial safety.

You will own the vision, roadmap, and execution for a major new initiative within the Safety organization. If you are a technical PM motivated by massive ML/CV engineering challenges that have clear, positive societal outcomes, this is your opportunity.

To better understand the scale and mission of this team, we encourage you to review the Samsara Cameras product overview here, and watch our SVP of Safety, Johan Land, discuss our AI-powered safety platform here.

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-caliber team that will encourage you to do your best.

In this role, you will:

• Define and own the end-to-end product strategy for a major new area within Video-based Safety, acting as the entrepreneurial CEO of your product line.
• Lead the development cycle of real-time AI/ML models, from ideation and data strategy to model deployment and iteration on connected devices at massive scale.
• Identify, design, and take to market innovative solutions that drive measurable safety outcomes, working across Design, Engineering, and Go-to-Market teams.
• Develop a bold, long-term vision for your product area, while consistently maintaining the ability to dive into execution details and unblock complex technical challenges.
• Champion, role model, and embed Samsara’s cultural principles as we scale globally.

Minimum requirements for the role:

• 7+ years of progressive product management experience with a visible history of successfully launching and scaling technically complex products.
• Prior experience shipping features that rely heavily on Machine Learning, Computer Vision (CV), or large-scale IoT data processing.
• Strong technical acumen that enables you to establish immediate credibility with engineers; comfortable engaging in technical trade-off discussions regarding model architecture, training, and deployment.
• A bias-to-action and hands-on experience delivering tangible business outcomes in a fast-paced, high-growth environment.
• Excellent communication skills, comfortable and effective presenting strategy and results to customers and senior executive leadership.
• Undergraduate or graduate degree (MS, PhD, or MBA) in Computer Science, Engineering, or a related technical field.

An ideal candidate also has:

• Experience defining the product roadmap for hardware/software integrated systems or SaaS products that manage physical assets.
• A deep understanding of data quality, labeling pipelines, and MLOps best practices in a production environment.
• Proven ability to define key performance indicators (KPIs) for ML-driven products and use data science to measure model efficacy and business impact.