Senior Software, ML Engineering Manager – New Products
Samsara
full-time
Posted on:
Location Type: Remote
Location: Poland
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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 along with 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 strategyprototypingdata lifecycle managementmodel deployment
Soft Skills
people managementcommunicationteam buildingtrust buildingcuriositymentorshipadaptabilitycustomer focusinclusive leadershipproblem-solving
Certifications
degree in Computer Sciencedegree in Engineering