Fireworks’ state of the art training and inference platform take you beyond the frontier, transforming open models into your specialized intelligence. Backed by Bessemer, Index and Lightspeed.
About the role
Enterprise Foundations builds the capabilities the largest companies in the world need before they can run their business on Fireworks. Global banks, insurers, healthcare and legal technology companies, and large-scale SaaS platforms are moving AI into production now, and they arrive with requirements that only apply to scaled companies: how their organization and users are modeled, who is allowed to do what, how usage is metered and billed, what gets logged, where data lives and who holds the keys, and whether...
What they're looking for
- You want your work measured in unblocked revenue, not tickets closed
- You're comfortable owning domains you've never worked in before
- You want the whole problem — data model through UI — and don't need someone else to draw the edges for you
- You can hold your own with an enterprise security architect
- You'd rather ship what closes the deal than perfect the abstraction
- You treat ambiguity as the job, not a complaint about the job
More about this role
Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. Founded by the team behind PyTorch and backed by AMD, Atreides, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, Fireworks powers production AI with hundreds of state-of-the-art open models across text, image, embedding, audio, and multimodal workloads. Today, Fireworks is a Series D company valued at $17.5 billion, bringing together an ambitious, collaborative team that's building the future of enterprise AI.
Enterprise Foundations builds the capabilities the largest companies in the world need before they can run their business on Fireworks. Global banks, insurers, healthcare and legal technology companies, and large-scale SaaS platforms are moving AI into production now, and they arrive with requirements that only apply to scaled companies: how their organization and users are modeled, who is allowed to do what, how usage is metered and billed, what gets logged, where data lives and who holds the keys, and whether the whole thing can run inside their own cloud.
You will own that work...
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