Product Manager, Platform

THE ROLE:

Inference is at the core of what Fireworks does. It’s how specialized intelligence reaches production, and the platform around it is what makes it fast to adopt, easy to trust, and economical at scale. We’re hiring a PM to work on our core inference product and general platform, spanning inference performance and control, accounts and fraud reduction.

As a PM working on our platform, you'll help set strategy, write specs, sit with customers running production traffic, and work across our inference, infrastructure, and go-to-market teams to deliver real customer impact. Example problems you may work on include figuring out whether we should let customers 5x their current rate limits, or cutting fraudulent free-tier usage without adding friction for legitimate users.

KEY RESPONSIBILITIES:

• Own the roadmap, strategy, and success metrics for parts of the Fireworks inference and platform product, across API, UI, and CLI.

• Work directly with AI-native startups and enterprises running production inference. Watch them work, unblock them when they stall, and convert repeated pain into productized capability.

• Own the commercial and trust surfaces of the platform, including accounts, onboarding, quotas and rate limits, billing, and fraud and abuse prevention

• Partner with product marketing, sales, and the field to launch platform capabilities that land, like pricing and packaging, docs, cookbooks, and enablement.

MINIMUM REQUIREMENTS:

• 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 inference lifecycle: model serving, latency and throughput tradeoffs, and how these connect to cost 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 built on top of an LLM API and felt the latency, cost, and reliability tradeoffs firsthand.

• Experience with self-serve or PLG products — signup and onboarding funnels, usage-based billing, quota and rate-limit design.

• Experience with trust and safety, fraud, or abuse prevention at scale — payment fraud, free-tier abuse, or account takeover.

• Understanding of GPU economics and how utilization, batching, and latency SLAs trade off against margin.

• Experience with cloud or developer platforms with metered pricing, or with the account, identity, and org-management surfaces enterprises expect.

• Early startup or founding experience.

Why Fireworks?

• Solve Hard Problems: Tackle challenges at the forefront of AI infrastructure, from low-latency inference to scalable model serving.