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Clay’s infrastructure team is expanding to craft systems that enable coding agents to operate with full context of the codebase, infrastructure, and development lifecycle.
You will design and build the developer experience that powers the next generation of software engineering at Clay, focusing on environments, tooling, and end-to-end workflows.
Clay’s engineering team and codebase are growing quickly, and require continued investment in tooling and infrastructure to operate effectively.
In particular, as coding agents continue to advance, the hardest challenges in engineering aren’t writing the code itself—they’re everything around it: context, environment, validation, testing, and safely integrating changes into real production systems.
At Clay, we believe the next evolution of software engineering will come from building systems where coding agents can operate with deep awareness of the codebase, infrastructure, and development lifecycle.
That requires a major investment in developer experience and engineering infrastructure.
We’re expanding our infrastructure team to build the systems that make this possible—environments where agents can understand the full context of a codebase, execute development tasks end-to-end, and safely integrate their work into production.
While coding agents will be an important area to focus on, this role spans developer tooling, infrastructure, and agent execution systems, and the systems you build will shape how software gets built at Clay.
You’ll help design and build the developer experience that powers the next generation of software engineering at Clay.
This includes systems that make both engineers and coding agents dramatically more effective across the full development lifecycle.
Our goal is to build the infrastructure harness that allows Clay to fully leverage the latest AI advancements.
We’re looking for strong engineers who enjoy building systems that improve how software gets built.
You might be a good fit if you:
You don’t need prior experience building AI systems—curiosity and experimentation matter more.
Software engineering is changing quickly.
AI models can generate code, but making that code useful in real production environments requires deep integration with developer workflows, infrastructure, and codebase context.
At Clay, we’re investing heavily in building the systems that make that possible.
You’ll be working on infrastructure that sits at the center of how software gets built, and helping define how engineering evolves in the age of AI.