Product Manager

The role

This is a customer-facing role for a deeply technical product manager. You will work with customers to understand their data, models, and workflows to design solutions that get them to production on Fireworks.

What you will do

• Work directly with customers to find highest-value use cases.
• Map customer environments including data, models, latency, cost, and infrastructure.
• Design and propose tailored solutions and proofs of concept.
• Lead technical onboarding and implementation.
• Act as a trusted technical advisor to help customers shape AI strategy.
• Turn early interest into long-term usage and expansion.
• Own strategic customer engagements end to end.
• Run high-priority, cross-functional initiatives like partnerships and model launches.
• Create new go-to-market motions and repeatable playbooks.
• Build the business case and help close and grow key accounts with the sales team.

Required qualifications

• Technical degree in Computer Science, Electrical Engineering or a similar field.
• Prior experience in software engineering or another technical role before moving into product management.
• Product management experience.
• 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.
• Expected to step up during wartime periods.

Nice to have

• Experience in forward deployed, solutions engineering or customer-embedded technical roles.
• Engineering management experience.
• You've personally built on an LLM API or trained or fine-tuned a model.
• Partnership or strategic customer work at a technical company.
• Early startup or founding experience.

About the company

Fireworks is the platform for specialized intelligence, enabling companies to build, train, and serve AI models tailored to their own data, workflows, and products. It is a Series D company valued at $17.5 billion.