Senior Software & ML Engineering Manager - Products

Who we are

Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud, which is a platform that enables organizations that depend on physical operations to harness Internet of Things (IoT) data to develop actionable insights and improve their operations. At Samsara, we are helping improve the safety, efficiency and sustainability of the physical operations that power our global economy. Representing more than 40% of global GDP, these industries are the infrastructure of our planet, including agriculture, construction, field services, transportation, and manufacturing — and we are excited to help digitally transform their operations at scale.

Working at Samsara means you’ll help define the future of physical operations and be on a team that’s shaping an exciting array of product solutions, including Video-Based Safety, Vehicle Telematics, Apps and Driver Workflows, and Equipment Monitoring. As part of a recently public company, you’ll have the autonomy and support to make an impact as we build for the long term.

As Senior Software & ML Engineering Manager – New Products, you’ll lead a small, high-calibre team (starting ~10 SWE/ML engineers, with clear scope to grow) building a new approach to how Samsara turns telematics data into action. The mission: detect anomalies across vast fleets — theft, misuse, suspicious stops, GPS jamming, emerging risk patterns — and surface the right incidents to the right operators, fast, with clear workflows to move from signal to resolution.

This is a 0-to-1 leadership role with real visibility and real-world impact. You’ll partner closely with Product, Firmware, and Design to ship end-to-end capabilities across hardware, firmware, and cloud software — building intelligent detection (ML + heuristics), real-time alerting, and an operator-friendly incident experience at scale.

• Recruit, hire, mentor, and grow an inclusive, high-performing team of software and ML engineers.
• Turn ambiguous “new product” bets into a clear roadmap, technical strategy, and shipped customer value.
• Build systems that analyse large-scale telematics data and detect anomalies across fleets — not just per-vehicle troubleshooting.
• Lead delivery of end-to-end security and incident workflows, from detection to investigation to resolution.
• Guide the team in applying ML and modern AI techniques (including LLMs where they add leverage) to create differentiated capabilities.
• Partner deeply with Product, Design, Firmware, and Data Science to deliver cohesive experiences across the stack.
• Champion engineering excellence: architecture quality, reliability, and thoughtful scoping — while keeping velocity high.
• Keep the team close to customers: rapid prototyping, direct feedback loops, and outcome-driven iteration.
• 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+ years of formal people management experience in a product-driven engineering environment, including managing managers.
• Degree in Computer Science/Engineering (or equivalent practical experience).
• Strong technical judgement and curiosity — you’re willing to dive into complex systems and messy real-world data.
• Clear, confident communicator who builds trust across engineering, product, and cross-functional partners.
• Passion for developing engineers and building a team culture that raises the bar.

• Experience thriving in ambiguity — “startup DNA” in a high-growth environment.
• Hands‑on ML experience (building with, deploying, or fine‑tuning models) and the ability to guide ML work pragmatically.
• Strong understanding of the data lifecycle and how to maintain integrity across distributed systems without creating silos.
• Track record of shipping and scaling products used by large customer bases.

At Samsara, we welcome everyone regardless of their background. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, sex, gender, gender…