Product Manager, Fireworks AI

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

Desirable

• This is a customer-facing role for a deeply technical product manager
• You'll spend most of your time with our most important customers and strategic projects. You'll go into a customer's environment, understand their data, models and workflows, and design the solution that gets them to production on Fireworks
• You'll be equally at home in a technical deep dive with a customer's ML engineers and in a meeting with their executives. You'll own outcomes: a customer's success, a new use case, or a high-priority strategic project from start to finish
• Work directly with customers, from fast-moving AI startups to large enterprises, to find their highest-value use cases
• Map each customer's environment: data, existing models, latency and cost needs, and infrastructure
• Design and propose tailored solutions and proofs of concept that show the value of Fireworks in real customer environments
• Lead technical onboarding and implementation, including fine-tuning workflows, latency benchmarks, API integration and cost modeling
• Act as a trusted technical advisor, helping customers shape their AI strategy on Fireworks
• Turn early interest into long-term usage and expansion
• Own strategic customer engagements end to end, from first conversation to long-term success
• Run high-priority, cross-functional initiatives, such as partnerships and model launches
• Create new go-to-market motions and repeatable playbooks so one customer's success becomes many
• Build the business case and help close and grow key accounts with our sales team
• Partner closely with engineering, research, applied ML, sales and field engineering
• Share what you learn from customers with our engineering and research teams
• Explain complex technical trade-offs clearly to any audience