Senior Manager, Software Engineering - AI Developer Productivity (Dev Agents and SRE AI)
Samsara · Remote - US
About this role
**Senior Manager, Software Engineering - AI Developer Productivity (Dev Agents and SRE AI)** ## Who we are Samsara (NYSE: IOT) is the pioneer of the Connected Operations™ Cloud—helping organizations that depend on physical operations harness IoT data to deliver actionable insights and improve safety, efficiency, and sustainability. We support industries including agriculture, construction, field services, transportation, and manufacturing. ## About the role AI is changing how our R&D organization builds and runs software. This is a new role: one leader for Samsara’s AI bets across the software development lifecycle. You’ll own two efforts—and whatever comes next: - **Dev Agents**: Builds in-house and integrates vendors such as Claude and Codex. Includes an Agent Gateway for internal MCPs, managed access to skills, and cloud runners that fan work out to cloud agents. - **SRE AI**: An agent that performs first-line work of an on-call engineer. It already runs on real production incidents—writing root cause analysis, escalating severity when it has proof, and rolling back the deployment it identifies as the cause. This is a **remote** role open to candidates based in **North America**. ## What makes this unique - **One leader across the lifecycle**: Own AI for the whole software development lifecycle for R&D. - **Room to try things**: Experiment, learn, and iterate—one bet in five landing is a good outcome. - **Already in production**: SRE AI runs on live incidents today; two teams use it as first responder. - **A senior team**: Principal, senior staff, staff, and senior engineers who work without a roadmap. - **Build, don’t hand off**: Hands-on leadership—work from the details, not just a PRD. ## Why this role matters - Engineers on every team take turns on-call (costing ~10–15% of headcount). The goal is an agent that responds to every page so humans are only woken up when needed—and arrive with the root cause. - Make **SRE AI** first responder for five teams, and the default for every team by end of 2027. - Within 12 months, the median developer ships as fast as today’s 90th percentile. ## Unique technical challenges - Choose which experiments to run for root cause analysis when no playbook exists. - Decide when to build, integrate, or buy as model prices/capabilities shift roughly every quarter. - Earn trust for automated actions like severity escalation and rollbacks. - Raise output without raising engineer load—using **cost per pull request** (token spend + infrastructure) as a key metric. - Help found **AI agent factories**: within three months, stand up an end-to-end system for campaign-style work (e.g., backfilling tests, fixing recurring logging problems, driving changes). ## You should apply if - You want to **own an AI bet at scale** with a full lifecycle view across R&D. - You **build to learn** and can clearly discuss what failed. - You like working **without a roadmap**—set direction and move when needed. - You lead senior engineers by **earning trust** (you’re in the details). - You care about **cost** (tokens + infrastructure are part of the design). ## In this role, you will - Lead **Dev Agents** and **SRE AI**, and decide what comes next. - Set direction and choose experiments for agent infrastructure (gateway, internal MCPs, skills, cloud runners). - Make build/integrate/buy decisions across vendors such as Claude and Codex as models change. - Drive down **cost per pull request** while increasing output. - Expa
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