Product Manager, Platform
Own strategy, roadmap, and delivery for Fireworks’ inference and platform products, including APIs, quotas, billing, onboarding, and abuse prevention. The role requires technical product management experience, familiarity with model serving and production tradeoffs, and strong customer and cross-functional collaboration.
About the job
Responsibilities
- Own the roadmap, strategy, and success metrics for portions of the inference and platform product across API, UI, and CLI.
- Work directly with AI-native startups and enterprises running production inference; observe workflows, unblock customers, and turn recurring pain points into product capabilities.
- Own commercial and trust surfaces, including accounts, onboarding, quotas, rate limits, billing, and fraud and abuse prevention.
- Partner with product marketing, sales, and field teams to launch platform capabilities, including pricing and packaging, documentation, cookbooks, and enablement.
Requirements
- 2–8+ years of product management experience building technical or developer-facing products.
- Strong technical background through a CS/EE degree, production engineering experience, or equivalent expertise.
- Familiarity with the inference lifecycle, including model serving, latency and throughput tradeoffs, and production cost implications.
- Demonstrated end-to-end ownership of a product area, from strategy and specifications through launch and metrics.
- Excellent written communication for specifications, launch posts, and customer-facing explanations.
- Comfort with ambiguity and a bias toward shipping and learning.
- High motivation and willingness to step up during demanding periods.
Nice-to-haves
- Experience building on an LLM API and understanding latency, cost, and reliability tradeoffs firsthand.
- Experience with self-serve or product-led growth products, signup and onboarding funnels, usage-based billing, quotas, and rate limits.
- Experience with trust and safety, fraud, or abuse prevention at scale.
- Understanding of GPU economics, including utilization, batching, latency SLAs, and margin tradeoffs.
- Experience with cloud or developer platforms with metered pricing.
- Experience with account, identity, and organization-management surfaces for enterprises.
- Early-stage startup or founding experience.
Benefits
- Work on challenging AI infrastructure problems, including low-latency inference and scalable model serving.
- Build technology shaping how businesses and developers use AI.
- High ownership and direct impact in a fast-growing environment.
- Collaborate with experienced engineers and AI researchers.
Skills
Product Management, Ai Inference, Model Serving, API Design, Cli, Latency Optimization, Throughput Optimization, Usage-Based Billing, Rate Limiting, Fraud Prevention, Trust And Safety, LLM APIs, Gpu Economics, Cloud Platforms, Product-Led Growth
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