Senior Manager, Software Engineering - AI Developer Productivity (Dev Agents and SRE AI)
Role Overview
Own Samsara’s AI efforts across the software development lifecycle, including Dev Agents and SRE AI.
Lead a team of five to ten senior engineers and work directly with R&D leaders and developers.
This is a remote position open to candidates based in North America.
Key Skills for This Role
Full Job Posting
About the role
Own Samsara’s AI efforts across the software development lifecycle, including Dev Agents and SRE AI.
Lead a team of five to ten senior engineers and work directly with R&D leaders and developers.
This is a remote position open to candidates based in North America.
Dev Agents and SRE AI
- Dev Agents builds in-house capabilities and integrates vendors such as Claude and Codex, including an Agent Gateway for internal MCPs, managed skills access, and cloud runners.
- SRE AI performs first-line on-call work on production incidents, including writing root cause analyses, escalating severity when supported by evidence, and rolling back identified deployments.
- Lead both efforts, set direction and experiments for agent infrastructure, and make build, integrate, or buy decisions.
- Reduce cost per pull request while increasing output, and scale SRE AI from two teams toward use by every team.
- Work directly with R&D leaders and tool users, and manage, hire, and develop a team of five to ten senior engineers.
- Within three months, establish an end-to-end system for campaign-style agent work, such as backfilling tests and fixing recurring logging problems.
Minimum requirements
- At least 8 years of software engineering experience and at least 5 years of people management experience.
- Experience leading approximately six to ten engineers, including senior- and staff-level engineers.
- Has built something with current AI tools or agents, at work or at home.
- Has set direction without an existing playbook or product manager.
- Bachelor’s or master’s degree in Computer Science or another technical field.
Ideal candidate
- A methodical, systems-level approach to choosing experiments for unsolved problems.
- Relevant background in developer productivity, agentic AI, incident response, or on-call tooling is advantageous.
- Follows and applies work from industry leaders.
- Can reason about token spend and infrastructure costs as models and prices change.
- A master’s or PhD in Computer Science or a related technical field is advantageous.
Role impact and challenges
The goal is for SRE AI to respond first to every page, waking people only when human action is needed and providing a root cause.
The posting targets SRE AI use by five teams and a default for every team by the end of 2027.
Within 12 months, the median developer is targeted to ship as fast as today’s 90th percentile.
Key challenges include experimenting without a playbook, earning trust for automated actions, and controlling costs as model capabilities and prices change.
Compensation
- Annual base salary range is CAD 154,800–212,850, with the applicable range depending on primary work location.
- The role is eligible for an initial RSU grant and ongoing performance-linked refresh opportunities, subject to plan terms.
- Total compensation may include base salary, performance-based bonus or variable pay, and equity for eligible roles.
Total rewards
- Benefits include a professional development stipend, health and parental leave plans, and a flexible employee-led remote model.
About Samsara
Samsara provides a Connected Operations Cloud that uses IoT data to help organizations improve the safety, efficiency, and sustainability of physical operations.
Its product areas include video-based safety, vehicle telematics, driver workflows, and equipment monitoring.
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