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Fireworks AI

Product Manager - Enterprise

Fireworks AI is hiring a Product Manager - Enterprise for a remote role open to applicants in United States. It pays $200k-$300k a year and Level rates it ; you can apply on Fireworks AI.

Level's read on this job

  • Level rates this AI product manager role Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Pay on this posting starts 12% higher than the typical AI product manager posting on Level.
  • This is listed as a remote role.
  • The posting mentions PyTorch and fine tuning among its tools and skills.
  • Fireworks AI has 94 other open roles on Level.

AI in this role

PyTorch
fine-tuning

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.

How we rate this

Product Manager - Enterprise at Fireworks AI rates 77 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Fine-tuningPyTorch

Also common in AI product manager jobs at this level

Pay

This job starts at
$200k
Typical AI product manager job
$179k

This posting starts 12% above the typical AI product manager job. See AI product manager jobs

Questions you could be asked

  1. Walk me through fine-tuning a model: what data did you use, and how did you check the result?
  2. Walk me through how you've used PyTorch in your day-to-day work.
  3. Describe a typical day in a role like this one: which parts run through AI directly?
  4. If you removed AI from this role, what would be left, and how do you decide what still needs a human?

Adapt your resume

  • List these exact terms on your resume: Fine-tuning and PyTorch. An applicant tracking system matches the wording, not the idea.
  • Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
  • Show where AI is part of your daily process, not a one-off project. This role expects it to be a running habit.

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