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Manager, Field Engineering

Fireworks AISan MateoSales
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Salary
$270K – $310K
Job type
Full-time
Work mode
Remote
Posted
29 Sept 2026
Status
Open · checked 7d ago

About this role

Fireworks AI is seeking a Manager, Field Engineering to lead a distributed team of hands-on engineers driving technical evaluations and production adoption of its inference and fine-tuning platform. This full-time position is based in San Mateo with remote flexibility and suits an experienced technical leader with a strong background in enterprise software or AI infrastructure.

Role Overview

This is a hybrid player-coach role where leadership meets deep technical execution. The Manager, Field Engineering will manage, hire, and develop a distributed team of engineers while remaining deeply involved in complex customer engagements at ambitious AI-native companies and enterprises. Serving as a crucial bridge between the field and internal teams, the manager unblocks evaluations, ensures high technical standards for customer deployments, and partners with regional sales leadership to scale engagement models.

Key Responsibilities

Lead, coach, and scale a distributed team of Field Engineers by establishing high bars for technical excellence and customer success.
Oversee the team's engagement portfolio, assigning appropriate engineers to discoveries, demos, proofs of concept, and production integrations.
Directly lead complex evaluations end-to-end, stepping in personally for the highest-stakes or most technically challenging deals.
Coach Account Executives and Field Engineers in real time, review architectures, and conduct post-mortems on wins and losses.
Develop and refine the Field Engineering playbook, including discovery frameworks, templates, and reference architectures.
Act as the internal voice of customers and the field to influence product and engineering roadmaps.
Collaborate with revenue leadership regarding pipeline health, forecasting, and regional territory planning.
Maintain hands-on involvement by building and shipping POCs, conducting load testing, and optimizing fine-tuning pipelines.
Monitor and enhance operating metrics such as win rates, cycle times, utilization, and customer adoption outcomes.

Requirements

Total of 8+ years of professional experience.
2+ years of experience managing Field Engineering, Solutions Engineering, Forward Deployed Engineering, or Pre-Sales teams within enterprise software or AI infrastructure.
Strong technical foundation and fluency in the LLM stack, including inference trade-offs, model serving, and fine-tuning workflows.
Demonstrated ability to build production software with customers and ship code running in external production environments.
Proven track record of coaching and developing individual contributors into senior and lead roles.
Experience partnering effectively with sales teams while maintaining technical integrity and customer trust.
Exceptional communication skills, ranging from running discovery calls with executives to debugging latency issues with machine learning engineers.
Strong builder mindset suited for fast-paced startup environments.
Willingness to travel up to 30% for customer engagements and team onsites.

Skills and Tools

PyTorch
AWS
GCP
Azure
LLMs and Generative AI workflows
vLLM, SGLang, and TensorRT-LLM model-serving choices
SFT, DPO, and RFT fine-tuning methods

Salary and Benefits

Annual Salary: $270,000 to $310,000 USD per year

About the Company

Fireworks AI 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 prominent investors such as AMD, Benchmark Capital, Index Ventures, Lightspeed, NVIDIA, Sequoia Capital, and TCV, the company powers production AI with hundreds of open models across text, image, embedding, audio, and multimodal workloads. Fireworks AI operates as a Series D company with a flat, talent-dense organization focused on making AI inference fast, affordable, and production-ready.

How to Apply

Interested candidates should apply directly on the official company careers page.

Skills and tech stack

PyTorchLLMAWSGCPAzureFine-tuning

Questions candidates ask

What is the salary for the Manager, Field Engineering role?

The annual salary for this position ranges from $270,000 to $310,000 USD.

Is this position remote or located in San Mateo?

The role is based in San Mateo with remote flexibility, and requires up to 30% travel for customer engagements and team onsites.

What level of experience is required for this job?

Candidates must have 8+ years of overall experience, which includes at least 2 years of management experience in Field Engineering, Solutions Engineering, Forward Deployed Engineering, or Pre-Sales teams.

What technical skills are needed for this role?

Required technical skills include fluency in the LLM stack, PyTorch, major cloud platforms like AWS, GCP, and Azure, model serving, and fine-tuning workflows.

How should I apply for this position?

Candidates should apply directly on the official company careers page.

Ready to apply?

The application is on the official Fireworks AI careers page.

Apply on company site