Product Manager - Enterprise

About Us: 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. 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. Build What’s Next: Work with bleeding-edge technology that impacts how businesses and developers harness AI globally. Ownership & Impact: Join a fast-growing, passionate team where your work directly shapes the future of AI—no bureaucracy, just results. Learn from the Best: Collaborate with world-class engineers and AI researchers who thrive on curiosity and innovation. Fireworks AI is an equal-opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all innovators.