Product Manager - Enterprise

The Role:

This is a customer-facing role for a deeply technical product manager who builds for the enterprise.

You’ll advance the product surface that makes Fireworks deployable inside the world’s largest companies: Fireworks Sovereign, identity management, usage visibility, and governance. You’ll go into a customer’s environment, understand their data, models, workflows, and security requirements, and ship the capabilities that get them to production on Fireworks.

You’ll be equally at home in a technical deep dive with a customer’s ML engineers or in a meeting with their executives and admin teams. You’ll own outcomes like a shipped capability or a high-priority strategic project from start to finish.

What You'll Do:

Enterprise Product

• Own and ship the enterprise product surface: Fireworks Sovereign (on-prem, VPC, and in-region deployments), identity management (SSO, SAML/OIDC, SCIM, RBAC), usage visibility (metering, cost attribution, chargeback, audit logs), and governance (policy controls, data residency, compliance).

• Define the roadmap for these areas and drive it with engineering from spec to launch.

• Own adoption, sales enablement and marketing narrative for these features, partnering closely with engineering, marketing, security, sales and field engineering.

Customer Engagements

• Work directly with customers, from fast-moving AI startups to large enterprises, to find their highest-value use cases.

• Design and propose tailored solutions and proofs of concept that show the value of Fireworks in real customer environments.

• Act as a trusted technical advisor, helping customers shape their AI strategy on Fireworks.

Minimum Requirements:

• Technical degree in Computer Science, Electrical Engineering or a similar field.

• 5+ years of product management experience, including shipping products or features for enterprise customers.

• Previous customer-facing experience, working directly with external customers and clients.

• Strong, practical fluency with LLMs: inference, fine-tuning, evals and agents, and how they connect to latency, quality and cost in production.

• Credible with both a customer’s engineers and their executives.

• Focus on outcomes, comfort with ambiguity, and fast context-switching.

• Deep hunger and motivation. This isn’t a 9-to-5 job, and you’ll be expected to step up during “wartime” periods.

Preferred Qualifications:

• Experience with enterprise platform needs: identity and access management, multi-tenancy, audit and governance, usage metering and billing, or self-hosted/air-gapped deployments.

• Familiarity with enterprise compliance and security frameworks and how they shape product decisions.

• Experience in forward deployed, solutions engineering or customer-embedded technical roles.

• You’ve personally built on an LLM API or trained or fine-tuned a model.

• Early startup or founding experience.

Why Fireworks?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.