SO

Engineering Manager - Code Plane [M3]

Sourcegraph
RemotePosted 15 May 2026

Job Description

Who we are Everything is changing in how software gets built, and Sourcegraph is at the center of that transformation. With Code Search, Deep Search, and MCP, Sourcegraph is the world’s most powerful code intelligence platform that developers and agents rely on to navigate, understand, and operate on massive, complex codebases with speed and confidence. Teams at companies like Stripe, Uber, and Dropbox rely on Sourcegraph to ship faster and with higher quality. We’re backed by a16z, Sequoia, and Redpoint, and proud to operate as a globally distributed team that values high agency, direct communication, and a deep love for developers and their craft. If you want to contribute to infrastructure that empowers millions of developers to do their best work - join us. Working hours 🌎 While we hire almost anywhere in the world, we have a preference for someone to reside in the following locations for this role. However, if you feel qualified, we welcome you to apply regardless of location. No matter what, working hours must overlap with EST for at least 20 hours/week. Preferred locations: North America (EST) Europe South America Level This job is an M3. You can read more about our job leveling philosophy in our Handbook . At M3, you'll lead a small team of strong individual contributors as a player-coach: up to 50% of your time may be spent contributing as an IC, and you'll be expected to provide hands-on technical guidance as well as the people, operational, and roadmap work. Why this job is exciting The Code Plane team owns the Sourcegraph products that help developers - and the agents working on their behalf - take action on code, at scale, on the world's largest codebases. Think “data plane” and “control plane” for enterprise code. This is a team that builds products that use AI and products for AI. The roadmap, the architecture, and the day-to-day technical decisions all hinge on a solid experience with and a clear-eyed view of what AI models and agents are good at, where they fail, and how to design products around them. A strong handle on and opinion of AI, formed from real-world, hands-on use, not just observation, is a hard requirement for this role. If you're excited to ship for the AI agent ecosystem rather than simply watch from the sidelines, you'll find a lot to love here. The team's surface areas include Batch Changes - our battle-tested execution layer for massive cross-repo changes helps developers automate large-scale code changes across all of an enterprise's repositories: keeping code up-to-date, fixing critical security issues, and paying down tech debt, with every change tracked through checks and code review until it merges. Teams at Stripe, Uber, Dropbox, Lyft, Reddit, and others use it to drive migrations, refactors, and security fixes. Building on this product, we’re working toward an agent in the outer-loop to turn a prompt into a staged, self-healing rollout, complete with CI feedback loops and post-publish remediation. Executors , the execution infrastructure that runs Batch Changes workloads. As we scale into agent-driven workflows, this is critical infrastructure that has to be rock solid. The Sourcegraph MCP Server , which connects the leading coding agents to Sourcegraph's code intelligence: search (keyword and semantic), commits, diffs, file/repo browsing, and Deep Search for deeper understanding. Stripe's Minion agents use it to pull internal context and code intelligence in their end-to-end coding workflows. Code Monitors and Code Insights - turning code changes into data to back up business decisions and creating dashboards surfacing critical info about repos The src CLI tool - the command-line surface that humans and the agents they employ use to automate Sourcegraph in their workflows. The features your team ships are used directly by developers and by agents working on their behalf, and you'll partner closely with Product, Design, Customer Engineering, and adjace ... (truncated, view full listing at source)
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