Senior Software, ML Engineering Manager – New Products
Samsara
full-time
Posted on:
Location Type: Remote
Location: United Kingdom
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Job Level
Tech Stack
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 — 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.
Requirements
- 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.
Benefits
- Full time employees receive a competitive total compensation package
- employee-led remote and flexible working
- health benefits
- much, much more
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
machine learningAI techniquesdata analysisanomaly detectionsoftware engineeringproduct managementtechnical strategysystem architectureprototypingdata lifecycle management
Soft Skills
people managementcommunicationteam buildingtrust buildingmentoringadaptabilitycustomer focusgrowth mindsetcollaborationleadership
Certifications
degree in Computer Sciencedegree in Engineering