Tech Lead - Code Plane [IC5]

About this role

Who we are Our mission is to bring clarity and control to the world's most complex codebases. AI is accelerating code creation, but the infrastructure to understand, oversee, and evolve that code hasn't kept pace. Sourcegraph gives engineering organizations full visibility across their systems, precise context for their agents, and the ability to execute coordinated code changes at scale. As agentic development becomes the dominant engineering paradigm, we provide the context layer teams need to take control of their codebase.

With Code Search, Deep Search, MCP, and Agentic Batch Changes, we deliver on that mission today - giving engineering teams and their AI tools the cross-repo context to navigate massive codebases with confidence, and the ability to make changes across hundreds of repositories at once. Companies like Stripe, Reddit, and Leidos 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 customer love.

If you want to build the infrastructure that lets every engineering team - and every agent they deploy - operate on their codebase with confidence, join us. Hours & location 🌎 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 CEST for at least 20 hours/week.

Preferred locations: Europe EST 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, across the world's largest codebases. Think “data plane” and “control plane” for enterprise code: the surfaces where intent becomes code changes across hundreds (or more!) of repositories. 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.