Product Manager (Platform)

Fireworks AI; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

Fireworks AI is seeking a product manager to lead parts of our core inference product and platform, spanning inference performance and control, accounts and fraud reduction. You will set strategy, write specs, and sit with customers running production traffic, working with inference, infrastructure, and GTM teams to deliver real customer impact.

As a PM on our platform, you’ll own roadmaps, collaborate to launch platform capabilities, and help customers scale while balancing cost and

Qualifications

• 8+ years of product management experience building technical or developer-facing products.
• Strong written and verbal communication.
• Ability to ship and learn in ambiguous startup environments.
• Experience with cloud or developer platforms with metered pricing.
• Understanding of GPU economics and AI inference concepts.

Responsibilities

• Own the roadmap, strategy, and success metrics for parts of the Fireworks platform.
• Write specs and work with customers running production traffic.
• Collaborate across inference, infrastructure, and go-to-market teams to deliver impact.
• Launch platform capabilities with pricing, docs, cookbooks, and enablement.
• Engage with AI-native startups and enterprises to reduce friction in production use.

Skills

Product management

Technical background

Ownership

Customer engagement

Startup experience

Education

CS/EE degree

Job description

• 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
• 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

• Comfort with ambiguity, and a bias toward shipping and learning over waiting for certainty2 – 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
• Deep hunger and motivation. This isn’t a 9-5 job and you’ll be expected to step up, especially during periods of “wartime.”
• 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
• Early startup or founding experience
• Experience with cloud or developer platforms with metered pricing, or with the account, identity, and org-management surfaces enterprises expect
• Understanding of GPU economics and how utilization, batching, and latency SLAs trade off against margin
• Experience with trust and safety, fraud, or abuse prevention at scale — payment fraud, free-tier abuse, or account takeover
• Experience with self-serve or PLG products — signup and onboarding funnels, usage-based billing, quota and rate-limit design
• You’ve personally built on top of an LLM API and felt the latency, cost, and reliability tradeoffs firsthand