Member of Technical Staff (Enterprise Foundations)

Fireworks AI; United States; On-site; USD 120,000 - 190,000; Full time

Job summary

Fireworks AI is building Enterprise Foundations to run AI at scale for top global customers. You will own end-to-end backend features from data models to control plane, runtime, and console, enabling large enterprises to deploy secure, auditable AI in their own cloud.

You will work across live production traffic, partner with security architects, and design primitives that scale across tenants, with a focus on reliability, billing, and governance.

Qualifications

• 4+ years building and operating production backend or distributed systems at scale.
• Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar.
• Kubernetes depth and infrastructure-as-code fluency (Terraform, GitOps).
• Applied cryptography and key management: envelope encryption, KMS, and threat modeling.
• Metering, quotas, or billing systems where correctness is customer-visible.
• Enterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling.

Responsibilities

• Own foundational capabilities end to end—from data model and API through control plane, runtime, SDK/CLI, and console.
• Design primitives that large customers organize around (organizations, sub-accounts, groups, roles, service identities).
• Connect them to enterprise directories through federation and provisioning (SSO, SCIM).
• Implement multi-tenant authorization, policy enforcement, and audit systems.
• Make usage metering, spend controls, and billing legible at scale for customers.

Skills

Go

Python

C++

TypeScript

Distributed systems

Security

Tools

Kubernetes

Terraform

GitOps

Job description

• 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 as end-to-end features
• A single project routinely starts in a customer conversation, becomes a change to a core data model or API, and then has to be threaded through the control plane, the training and inference stacks, the SDK and CLI, and the console before it counts as shipped
• Much of what we build is a foundational shift rather than an addition: a new primitive that other teams' code has to move onto, rolled out against live production traffic without breaking anyone
• The work sits close to revenue. Requirements come out of live enterprise deals, security reviews, and customer conversations. You will be in those rooms, decide what product becomes, and go build it
• Own foundational capabilities end to end - data model and API through control plane, runtime, SDK/CLI, and console - and migrate live systems onto them
• Design the primitives large customers organize around - organizations and sub-accounts, groups, roles, service identities - and connect them to enterprise directories through federation and provisioning (SSO, SCIM)
• Design multi-tenant authorization, policy enforcement, and audit systems that hold up in front of a security architect
• Make usage metering, spend controls, and billing correct and legible at scale - customers reconcile our numbers against their own
• Own data isolation and key management - customer-managed encryption keys across AWS, GCP, and Azure - threaded through datasets, fine-tuning, RL, checkpoints, models, and inference
• Deploy and operate Fireworks inside a customer's own cloud, and solve data residency and regional isolation for customers with hard constraints
• Use AI tooling aggressively - we expect you to automate yourself
• You'd rather ship what closes the deal than perfect the abstractionYou want your work measured in unblocked revenue, not tickets closedYou treat ambiguity as the job, not a complaint about the jobYou're comfortable owning domains you've never worked in beforeYou want the whole problem - data model through UI - and don't need someone else to draw the edges for youYou can hold your own with an enterprise security architectExperience designing APIs and data models that other teams build on, and evolving them under live traffic without breaking callersWillingness to work directly with customersA track record of owning an ambiguous, cross-team workstream from requirement through production
• 4+ years building and operating production backend or distributed systems at scaleHands-?? Strong server-side engineering skills in Go, Python, C++, TypeScript, or similar, and willingness to work outside your primary layer to land a featureKubernetes depth and infrastructure-as-code fluency (Terraform, GitOps)Applied cryptography and key management: envelope encryption, KMS, and threat modelingMetering, quotas, or billing systems where correctness is customer-visibleEnterprise identity and tenancy: SSO, SCIM provisioning, RBAC/ABAC, audit logging, and org modeling