Fireworks AI · AI infrastructure

Product Manager

  • San Mateo (Hybrid)
  • Full-time
  • $200,000 - $300,000 / year

AI roleAI Product ManagerAI product

Still open on Fireworks AI's site · checked just now

Education
A degree
Posted

What you'll do

As written by Fireworks AI · Read the original

The role

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.

Strategic projects

  • 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.

Requirements

Minimum requirements

  • 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.

Preferred qualifications

  • 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.

Skills

Stack

  • PyTorch

Working languages

English

Company

Last checked . The details above were extracted automatically; the employer's original posting is the authority.

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