Product Manager (AI Inference Platform)

Location: San Mateo, United States

Salary: $170,000–$300,000 per year, plus equity.

Company

hirify.global provides an AI platform for building, training, and serving specialized models across text, image, embedding, audio, and multimodal workloads.

What you will do

• Own the roadmap, strategy, and success metrics for inference and platform products across API, UI, and CLI.
• Work with AI-native startups and enterprises running production inference and convert recurring customer pain into product capabilities.
• Manage account, onboarding, quota, rate-limit, billing, and fraud- and abuse-prevention surfaces.
• Partner with inference, infrastructure, product marketing, sales, and field teams to launch platform capabilities, pricing, documentation, cookbooks, and enablement.
• Define and evaluate tradeoffs involving rate limits, latency, throughput, reliability, cost, and GPU utilization.

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, throughput, and production cost tradeoffs.
• End-to-end product ownership from strategy and specifications through launch and metrics.
• Excellent written communication and comfort working through ambiguity with a bias toward shipping and learning.
• Hands-on experience building on an LLM API and understanding latency, cost, and reliability tradeoffs.

Nice to have

• Experience with self-serve or product-led growth products, usage-based billing, quotas, and rate limits.
• Experience with trust and safety, fraud, or abuse prevention at scale.
• Understanding of GPU economics, utilization, batching, latency SLAs, and margin.
• Experience with cloud or developer platforms, metered pricing, identity, accounts, or organization management.
• Early-stage startup or founding experience.

Culture & Benefits

• Work on AI infrastructure and low-latency inference at production scale.
• Collaborate with engineers and AI researchers on emerging technology.
• High ownership and direct product impact in a fast-growing environment.
• Compensation includes equity.