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Fireworks AI

Field Execution Partner, AI Field Engineering

Fireworks AI is hiring a Field Execution Partner, AI Field Engineering for a remote role open to applicants in United States. It pays $210k-$256k a year and Level rates it ; you can apply on Fireworks AI.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • The posting lists this role as remote.
  • Tools and skills the posting cites include PyTorch and AI agents.
  • Level lists 90 other open roles at Fireworks AI.
  • The role was posted in the last few days.

AI in this role

PyTorch
ai-agents

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

We're seeking a technical, field-tested operator to serve as the dedicated execution and enablement partner for our AI Field Engineering (AFE) team. As part of Revenue Operations, you'll design the programs and lead the change that keep this team sharp, consistent, and ahead of the curve as Fireworks scales.

This role requires deep domain experience as a former AFE, Solutions Architect, or Sales Engineer. You'll pair technical credibility with business-operations rigor to bring a clear point of view on what great looks like and the program discipline to make changes stick globally. You'll also use your own AI fluency to bring agentic workflows into how AFEs work day to day. Your success will be measured in AFE outcomes: time to first technical win and ramp compliance for new hires, and productivity across the ramped team.

Please Note: This is an individual contributor role reporting to the Head of GTM Enablement. Expect ~15–20% travel for team events and trainings.

What You'll Own

  1. Embed in AFE leadership and drive critical change management initiatives:
    Take a standing seat in AFE leadership forums, where you'll help shape the segment's go-to-market strategy alongside your RevOps counterpart. As the operating model evolves, you'll drive the execution of the team's most critical initiatives, whether that's a multi-quarter transformation or a fix shipped in days.

  2. Design and deliver ongoing enablement programs for tenured AFEs:
    Keep experienced AFEs ahead of a fast-moving product with a continuous cadence of AFE-specific enablement, spanning technical trainings, process execution, skills workshops, and manager-led certifications.

  3. Optimize the AFE ramp program and own the outcomes for new AFEs:
    Audit and continuously improve the AFE onboarding experience, from our Firecademy onboarding program through full ramp, and make sure every new AFE ramps consistently, wherever they sit. You'll be measured on time to first technical win, ramp compliance, and ramp productivity.

  4. Surface and scale AFE best practices:
    Pinpoint what top AFEs do differently through call reviews, field conversations, and performance data. Then scale those patterns across the team with programs like peer showcases, POC reviews, and a curated call library, and feed what you learn back into the broader go-to-market team.

  5. Build the AI tools AFEs use on live deals:
    Design and ship AI agents that work inside the AFE workflow, such as POC preparation, eval design, and technical objection handling, so AFEs move faster with customers.

Minimum Qualifications

  • 8+ years of experience, including significant time as an AFE, Solutions Architect, Sales Engineer, or in a similar technical pre-sales role

  • Technical depth in AI/ML or developer infrastructure, and the credibility to coach technical sellers who work with technical buyers

  • A track record of driving change across a team, with the rigor to define, track, and act on the metrics that prove it worked

  • Strong at both content development and live facilitation for technical audiences, from new-hire cohorts to experienced practitioners

  • Has personally built AI agents or apps, through prompting, no-code, low-code, or code, to drive seller or operational productivity (engineering degree not required)

  • Thrives in ambiguity, high ownership, and the pace of a high-growth startup

  • Based in AMER and willing to travel ~15–20%

Preferred Qualifications

  • Experience as a first- or second-line leader of a technical pre-sales team, or as Chief of Staff to a GTM leader

  • AFE, SA, or SE experience at an AI/ML infrastructure, developer tools, or API-first and consumption-based business, with literacy in usage-based pricing models

  • Prior ownership of onboarding, ramp, or enablement programs for technical sellers

  • Fluency in enterprise sales methodologies (e.g., Command of the Message, MEDDICC) applied to technical pre-sales

  • Familiarity with modern enablement tooling and systems (LMS, CMS, CRM, conversation intelligence)

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

Field Execution Partner, AI Field Engineering at Fireworks AI rates 76 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

AI agentsPyTorch

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  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: AI agents 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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