Product Manager

Who you are

• 2 – 8+ years of product management experience building technical or developer-facing products (we are hiring at multiple levels for this role)
• Strong technical background — CS/EE degree, production engineering experience, or equivalent depth earned on the job
• Familiarity with the post-training lifecycle: dataset curation, SFT, LoRA/PEFT, RL-based methods, evaluation, and how these connect to inference in production
• Demonstrated ownership of a product area end to end from strategy, spec, launch, to metrics
• Excellent written communication. You can write a spec, a launch post, and a customer-facing explanation of a tradeoff, and all three will be clear
• Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty
• Deep hunger and motivation. This isn't a 9-5 job and you'll be expected to step up, especially during periods of "wartime."
• PREFERRED QUALIFICATIONS:
• You've personally fine-tuned models and shipped the result into something real
• Experience with ML platform, MLOps, or AI infrastructure products — training platforms, eval tooling, or model registries
• Familiarity with reinforcement fine-tuning specifics: reward modeling, rollout environments, and agent-training workflows
• Understanding of GPU economics and how training cost, throughput, and quality trade off against each other
• Open-source or developer-community experience — you know what makes an SDK or API feel good to use
• Early startup or founding experience

What the job involves

• Fireworks is building specialized intelligence to enable companies to own their AI with frontier-beating quality and efficiency
• Training is at the core of how they get there
• As a PM working on training, you’ll help set strategy, write specs, sit with customers running real tuning jobs, and work across our training, research, and inference teams to deliver real customer impact
• Example problems you may work on include determining how to grow our self-serve training usage or making training easier and faster for our enterprise users
• Own the roadmap, strategy, and success metrics for parts of the Fireworks training product, across API, UI, and CLI
• Work directly with AI-native startups and enterprises running real training workloads — watch them work, unblock them whey they stall, and convert repeated pain into productized capability
• Turn the bespoke work our forward-deployed and applied ML teams do for top accounts into scalable, self-serve product
• Partner with product marketing, sales, and the field to launch training capabilities that land — pricing and packaging, docs, cookbooks, and enablement included