Director of Product, Ecosystem (AI)

Location: San Jose, California, United States

Salary: $243,000–$297,000 USD base salary, plus equity and benefits.

Company

hirify.global develops full-stack generative AI platforms, RDU inference accelerators, and rack-scale, managed-capacity, and API-based infrastructure for enterprise and government token factories.

What you will do

• Define ecosystem strategy for RDU integrations across scale-out networking, inference serving, storage and caching, prefill compute, agentic CPU offload, and compiler tooling.
• Decide whether integration areas should be built internally, delivered through partners, or deprioritized, using benchmarks, competitive intelligence, and unit economics.
• Publish joint reference architectures and own RDU certification across Kubernetes, Prometheus, Grafana, and managed-stack vendors.
• Drive co-optimization with vLLM, SGLang, llm-d, model partners, PyTorch, and MLIR communities.
• Lead joint go-to-market with token-factory partners and provide benchmark data for analyst relationships and buyer TCO models.
• Report quarterly on partner deployments, reference architectures, benchmark results, and partner-attached pipeline.

Requirements

• 10+ years in AI infrastructure, accelerators, or data center systems, including 8+ years in product management with direct ecosystem, platform, or partner-facing ownership.
• Experience shipping reference architectures, certification programs, or integration surfaces adopted by external teams.
• Working fluency across scale-out networking, inference serving, storage and caching, prefill and decode disaggregation, CPU offload, and compiler toolchains, with depth in at least two areas.
• Track record of converting partnerships into measurable deployments, demand, or revenue.
• Fluency in inference economics, including cost per million tokens, tokens per second per user, latency, and throughput tradeoffs.
• Bachelor's degree in computer science, electrical engineering, or a related technical field, or equivalent experience.

Nice to have

• Experience at both a silicon or systems vendor and a model lab or inference provider.
• Completed co-optimization engagements with model providers.
• Contributions to or close working relationships with vLLM, SGLang, llm-d, PyTorch, or MLIR communities.
• Exposure to hardware sales cycles, data center power and cooling constraints, and financing-backed deals.
• Experience running joint go-to-market with networking, storage, or compute vendors sharing a common buyer.

Culture & Benefits

• Full-time US employment with equity and a comprehensive benefits package.
• Medical insurance with 95% employee premium coverage and 77% dependent premium coverage.
• Health Savings Account with employer contribution, Dental, Vision, Disability, Life, AD&D, and Flexible Spending Account options.
• Well-being benefits including Headspace, Gympass+, One Medical, and counseling through an Employee Assistance Program.
• Equal opportunity employment for qualified applicants.