TL;DR

Senior Director of Product, Networking & Storage (AI): Defining and executing the multi-year product strategy for high-performance networking fabric, storage platforms, and data services that power AI workloads. Focus on balancing rapid innovation with architectural integrity, leading product teams, and engaging with enterprise and AI lab customers to maintain gold-standard AI infrastructure.

Location: Hybrid in Sunnyvale, CA or Bellevue, WA. Remote work may be considered for candidates located more than 30 miles from an office. New hires are invited to attend onboarding at one of our hubs within their first month. This position requires access to export controlled information, so applicant must be a U.S. person or eligible to access/obtain export authorization.

Salary: $233,000–$341,000

Company

%hirify_global% is a hyper-growth product company building The Essential Cloud for AI™ to enable innovators to build and scale AI with confidence.

What you will do

Build and lead the Networking and Storage Product organizations, delivering high-performance interconnects, data pipelines, and storage systems for AI workloads.
Define and execute the multi-year product strategy for %hirify_global%’s networking fabric, storage platforms, and data services.
Partner with Engineering, the Office of the CTO, and executive leadership to balance rapid innovation with architectural integrity.
Lead a team of Product Managers and engage directly with enterprise and AI lab customers.
Ensure %hirify_global% remains the gold standard for large-scale AI infrastructure.

Requirements

12+ years of experience in Product Management within infrastructure, cloud, or high-performance computing (HPC) environments.
5+ years of experience leading and managing teams of Product Managers.
Deep technical expertise in high-performance networking, including RDMA, InfiniBand, RoCE, and leaf-spine architectures.
Proven experience with high-performance and cloud-native storage systems, including CSI and S3-compatible object storage.
Strong understanding of data services and platforms that support large-scale AI training and inference workloads.
Hands-on experience operating in Kubernetes-native environments, with a strong understanding of API-driven and declarative infrastructure consumption.
Demonstrated ability to manage full product lifecycles, from hardware/software selection and proof-of-concept through global GA and deprecation.
Applicant must be a U.S. person (citizen, permanent resident, refugee, or asylee) or eligible to access the export controlled information.

Nice to have

Experience building infrastructure products for AI/ML, deep learning, or large-scale distributed systems.
Background working closely with enterprise customers, AI research labs, or hyperscale platforms.
Experience partnering with Sales and Marketing on technical product positioning and competitive differentiation.

Culture & Benefits

Competitive salary, discretionary bonus, equity awards, and a comprehensive benefits program.
100% company-paid medical, dental, and vision insurance.
401(k) with a generous employer match and Employee Stock Purchase Program (ESPP).
Flexible PTO and paid parental leave.
Mental wellness benefits through Spring Health, family-forming support by Carrot, and childcare support with Kinside.
Catered lunch each day in office and data center locations.
A casual work environment and a work culture focused on innovative disruption.