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FDE jobs at Fireworks AI

Inference and training infrastructure for open-weight AI models, with fine-tuning, reinforcement fine-tuning, and low-latency production serving for developers and enterprises.

Growth (Series B–C) · About 51–200 people · AI Infra

5 postings1 metromedian of posted base ranges $230,000

Updated

Postings read on

How Fireworks AI describes FDE work

Fireworks AI · US average

Pre-sales

Evaluation or proposal work before a deal

100% · avg 24%

Well above average

Remote

Postings that allow remote work

0% · avg 28%

Well below average

Customer contact

Work done for people outside the company

100% · avg 86%

Above average

Seniority

Senior-level responsibility or above

100% · avg 94%

Above average

Production code

Postings that involve writing production code

80% · avg 80%

About average

Travel

How often postings mention travel

40% · avg 40%

About average

0%50%100%

Fireworks AI’s postings involve pre-sales far more often than the US average (100% vs 24%) and allow remote work less often (0% vs 28%).

Shares leave out postings that say nothing about a measure. Travel counts silence as no mention. Compare with all US FDE postings and read the method →

Pay at Fireworks AI

Across 5 posted ranges, Fireworks AI’s median sits above $188,000 for senior FDE postings in the US.

Posted base ranges in annual US dollars, from postings that state both ends, each counted at the middle of its range. Bonus, commission and equity are not counted. See how posted pay differs by level, location and travel →

4 of 5 build what the customer runs.

Compare these roles with pay ranges at other US FDE employers.

Fireworks AI's FDE roles connect inference and training infrastructure to enterprise, partnership, and AI-native customer work.

Fireworks AI's current roles include AI Field Engineer positions for Enterprise, Strategic Partnerships, and AI Natives, plus AI Deployment Strategist and applied machine learning work. The segment changes the customer motion, so ask how it changes the technical work and success measures.

The company describes real-time inference, model optimization, and deployment at scale. A candidate should connect model behavior and serving constraints to a customer's production objective, then explain the tradeoff to technical and commercial partners. The current FDE sample is hybrid in the San Mateo area.

Ask which customer segment the role serves, how much work is evaluation or pre-sales versus production delivery, what travel means in practice, and which model-serving or data systems the engineer owns. See the FDE compensation page.

Employer postings · How we read postings

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