AI Engineers
Building production AI applications and evaluating the tooling that ships them—from model serving to observability to the infrastructure underneath.
Platform Engineers
Own the systems everything runs on, and make the infrastructure and tooling calls that determine what gets built and how fast it scales.
AI Researchers
Pushing the boundaries of what models can do—and evaluating the tools and infrastructure that keep pace with them.
CTOs and VP Engineering
Making the infrastructure decisions that determine whether AI strategy succeeds—and actively looking for the partners and platforms that reduce that risk.
Executives
Funding fast-moving AI investments with a shrinking margin for error—and looking for the signal that separates real infrastructure from vendor noise.
Partners
Technology partners, system integrators, and channel players building on and around the AI stack—and looking for the right connections to do it.







