Give humans and agents complete context to understand, oversee, and evolve the world. Backed by Insight, Sequoia and a16z.
About the role
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.
What they're looking for
- 8+ years of professional software engineering experience
- Fluency across our stack, backend and frontend: Go, TypeScript, SvelteKit and React, GraphQL APIs, PostgreSQL, and Docker and Kubernetes in a multi-service environment
- A strong technical background, with the ability to provide technical guidance on architecture, code quality, and trade-offs
- Proven experience on teams that build end-user product features — ideally developer tools, agent/AI products, CLIs, or other technical product surfaces
- Experience partnering closely with Product and Design to take features from idea to shipped, and incorporating customer feedback into the roadmap
- You have built something that agents or other programs call, not just something you used an agent to build. MCP servers, agent SDKs, tool surfaces, harnesses, or a CLI designed for non-human callers
More about this role
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...
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