Product Manager (AI)

TL;DR

Product Manager (AI): Defining how hirify.global delivers secure, reliable, and high-performance connectivity at global scale, including the networking foundations required to support AI-driven products and workloads with an accent on network strategy to support AI products. Focus on latency-sensitive inference, large-scale model training pipelines, vector search, streaming ingestion, and cross-region data movement.

Location: Hybrid (Menlo Park, CA or Bellevue, WA)

Salary: $160K - $230K

Company

hirify.global is transforming how the world uses data and AI.

What you will do

• Define the networking strategy required to support hirify.global’s AI products.
• Partner with AI platform, compute, and storage teams to ensure networking capabilities meet the performance, isolation, and reliability needs of emerging AI use cases.
• Drive architectural decisions around traffic engineering, load balancing, service mesh, regional and cross-region routing, and failure handling in multi-cloud environments.
• Define customer-facing networking capabilities and abstractions that make it easy for customers to deploy secure, high-performance AI workloads on hirify.global.
• Lead cross-functional execution across infrastructure, AI, security, and go-to-market teams, driving clarity in complex, deeply technical problem spaces.

Requirements

• 2+ years of product management experience or a role in a similar capacity in infrastructure, networking, distributed systems, or cloud platforms.
• Strong understanding of networking fundamentals including TCP/IP, DNS, load balancing, routing, service mesh, private link and multi-cloud connectivity.
• Experience building or operating platforms that support latency-sensitive or high-throughput workloads, such as AI inference, streaming, or real-time systems.
• Ability to collaborate deeply with engineers on architectural design, performance optimization, and scalability trade-offs.
• Customer-first mindset with the ability to translate complex infrastructure challenges into intuitive product experiences.
• Bachelor’s degree in Computer Science, Engineering, or equivalent practical experience.

Nice to have

• Experience supporting AI/ML platforms, including inference services, model serving, or GPU-accelerated workloads.
• Familiarity with cloud networking constructs (AWS, Azure, GCP), private connectivity, and cross-region architectures.
• Experience with service mesh technologies (e.g., Envoy, Istio), traffic shaping, or network observability platforms.
• Background working with security or platform teams on zero-trust networking models.

Culture & Benefits

• Culture that’s all in on impact, innovation, and collaboration.
• Opportunity to build big, move fast, and take technology — and careers — to the next level.