Software Engineer, Developer Experience (AI)

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.

Areas you might work on include:

Monorepo organization, orchestration, and tooling

CI/CD pipelines, including evaluation and validation of agent-generated changes

Cloud dev environment exploration

Expose rich codebase context to coding agents, enabling multiple agents running and parallel and supporting automated refactors, migrations, and bug fixing

Setup metrics and dashboards, organize forums - and any other venue to keep a pulse on how the engineering team is doing and how they can further be assisted

Our goal is to build the infrastructure harness that allows Clay to take advantage of every new AI capability as it emerges.

Success in this role means:

Clay engineers can move faster with less friction

Coding agents can operate with deep context and make meaningful changes safely

Our development environment adapts quickly as new AI capabilities emerge

Engineering productivity compounds as more of the software lifecycle becomes automated

Developing a relationship with the engineering team and creating a collaborative environment to resolve friction points

We’re looking for strong engineers who enjoy building systems that improve how software gets built.

You might be a good fit if you:

Have experience building developer tooling, infrastructure, or internal platforms

Care deeply about developer experience and engineering productivity, including removing obstacles to productivity

Enjoy designing systems that automate complex workflows

Are excited about how AI will transform the software development lifecycle

Write clean, maintainable code and enjoy owning systems end-to-end

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.