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Product Manager

Fireworks AI · San Mateo, California

Location
San Mateo, California, United States
Workplace
Hybrid
Employment
Full time
Level
Mid level
Posted
4 August

About this role

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:

Fireworks AI is looking for a Strategic Projects Lead to drive high-impact, cross-functional initiatives. We’re looking for a high-agency operator to wear many hats at the intersection of Engineering, Product, and GTM. You’ll be part of the Fireworks product organization where you’ll be an expert in Fireworks’ products and customers. You’ll use that knowledge to drive high-priority, end-to-end projects across the company.

Key Responsibilities:

  • Identify and create new strategic capabilities for Fireworks, like new GTM motions or standardized GTM playbooks

  • Build deep relationships with customers and lead strategic customer engagements from initial sale to long-term success

  • Determine product roadmap needs and instrument solutions end-to-end

  • Own and drive cross-functional initiatives from definition to execution, like partnership creation and model launches

Minimum Requirements:

  • We’re hiring smart hungry people at a variety of experience levels - 1+ years of experience in a high-ownership, fast-paced environment (consulting, product management, software or banking)

  • Entrepreneurial mindset - excitement about wearing many hats and ability to identify issues and execute quickly

  • Fluency to engage with senior stakeholders in client and partner organizations

  • Technical fluency in AI, ML infrastructure, or cloud platforms

  • Proven track record of leading complex technical or cross-functional initiatives

  • Analytical capability and comfortability driving decisions quantitatively

  • Excellent written and verbal communication skills

  • Bias toward action and high accountability

Preferred Qualifications:

  • Experience working on ML infrastructure, inference systems, or AI platforms

  • Experience supporting enterprise or strategic customers

  • Prior experience in infrastructure, DevEx, or performance optimization initiatives

  • Experience operating in high-growth startup environments

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.

As published by Fireworks AI. Applications are handled on their site.

Skills this posting mentions

Machine LearningCustomer Facing RolesD programming language

About Fireworks AI

Fireworks.ai offers generative AI platform as a service. We optimize for rapid product iteration building on top of gen AI as well as minimizing cost to serve. https://fireworks.ai/careers

All 88 openings at Fireworks AI

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Drop a resume or a LinkedIn URL. I rank the live openings against it, rewrite the resume and write a cover letter for the best of them, and fill in the employer's form when you press the button. You read, you decide what goes out.

  1. 01Drop your resume

    A PDF or a LinkedIn URL. About a minute, once.

  2. 02I rank the openings

    Every weekday morning, the live catalog scored against your history. Up to 20 worth your time, not two hundred links.

  3. 03Each one is written up

    Resume rewritten for the posting, a cover letter, a fit score. Press send, or let me fill in the form.

  • New matches ranked and written before you are up.
  • Every bullet stays inside what your history supports. Nothing invented.
  • Queued, submitted, interviewing, offer: one screen, not a spreadsheet.

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