Forward Deployed Product Manager

Fireworks AI · Data AI · San Mateo, CA · Product

AI Product Manager focused on customer success and translating technical requirements into product offerings for generative AI infrastructure, specifically LLM inference and fine-tuning.

What you'd actually do

  1. Engage directly with customers from fast-moving startups to large enterprises, to identify use cases and convert interest into long-term usage and expansion
  2. Define and propose tailored solutions and proof-of-concepts (POCs) that demonstrate the value of Fireworks’ platform in real customer environments.
  3. Lead onboarding and implementation efforts, including fine-tuning workflows, latency benchmarks, API integration, and infrastructure alignment.
  4. Translate customer insights into structured product definition, identifying common themes and high-leverage feature requests.
  5. Collaborate closely with engineering and applied ML teams to align customer needs with technical roadmap

Skills

Required

  • Strong technical background (CS/EECE background and/or production level development experience) or technical product management experience
  • Intimate familiarity with LLMs, fine-tuning, model inference, agents etc.
  • 2 - 5+ years of experience in products for software engineers
  • Strong customer interaction skills, deep customer success focus
  • Ability to communicate highly technical concepts to all kinds of audiences including the latest AI developments
  • Focus on driving outcomes, not just technical milestones
  • Ability to navigate complex customer/technical scenarios and come up with creative solutions

Nice to have

  • Prior experience in technical product management roles with high degree of customer interactions
  • Interest in generative AI or developer tools
  • Early startup or founding experience
  • Prior technical leadership / technical PM experience

What the JD emphasized

  • fine-tuning
  • model inference
  • agents

Other signals

  • customer success
  • product roadmap
  • technical advisor
  • fine-tuning
  • model inference