Software & ML Engineering Manager – New Products
Samsara
full-time
Posted on:
Location Type: Remote
Location: Remote • 🇬🇧 United Kingdom
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
Distributed Systems
About the role
- 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.
- 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 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 as we scale globally and across new offices.
Requirements
- 6+ years of professional software development experience.
- 3+ years of formal people management experience in a product-driven engineering environment.
- 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 (ideal).
- Hands-on ML experience and the ability to guide ML work pragmatically (ideal).
- Strong understanding of the data lifecycle and how to maintain integrity across distributed systems without creating silos (ideal).
- Track record of shipping and scaling products used by large customer bases (ideal).
Benefits
- Full time employees receive a competitive total compensation package
- Employee-led remote and flexible working
- Health benefits
- Accommodations for qualified persons with disabilities
- Flexible working model that caters to diverse needs
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
software developmentmachine learningdata analysisincident managementsystem architectureprototypingdata integrityproduct scalingtechnical strategyanomaly detection
Soft skills
mentoringteam buildingcommunicationtrust buildingleadershipcuriosityadaptabilityproblem-solvingcollaborationcultural advocacy
Certifications
degree in Computer Sciencedegree in Engineering