Senior AI Infrastructure Tech Strategist

Red Hat

. Lead Technical Strategy for Joint Offerings: Act as the primary technical lead for defining the vision of joint offerings.

Posted 4/21/2026full-timeSunnyvale • California • 🇺🇸 United StatesSenior💰 $147,820 - $243,690 per yearWebsite

Tech Stack

Tools & technologies

KubernetesOpenShift

About the role

Key responsibilities & impact

Lead Technical Strategy for Joint Offerings: Act as the primary technical lead for defining the vision of joint offerings.
Direct engagement with NVIDIA, AMD, Intel and OEM (HPE, Dell, Lenovo) product leadership to align future roadmaps and identify strategic opportunities.
Engage key GTM leaders to align those offerings into VAR, GSI, and ISV based offerings.
Requirement Sourcing & Prioritization: Serve as a primary conduit to the Ecosystem Engineering team.
You will source and prioritize the technical requirements for what needs to be architected, prototyped, or co-created, providing the strategic "why" and "what" so Engineering can execute the "how."
Perform initial architectural scoping specifically to identify the technical gaps and requirements needed for new offerings, ensuring a smooth hand-off to engineering for detailed design.
Lead contribution of key partner product, solution, and use-case strategies for AI Infrastructure partners in the overall AI Ecosystem strategy.
Collaborate with the AI Tech Sales team and the AI Tech Sales Eco Global Leader to ensure that technical offering definitions are successfully transitioned into field-ready sales motions by establishing early input and ongoing feedback mechanisms.

Requirements

What you’ll need

10+ years of experience in technical leadership with a proven ability to drive joint strategy with global partners like NVIDIA or major OEMs.
Expert ability to source requirements from external partners and prioritize them effectively for internal engineering and product teams.
Ability to use high-level architecture as a tool for requirement gathering rather than an end-goal, knowing when to hand off to deep engineering specialists.
Deep understanding of the business drivers for AI, including private compute, the cost of inference at scale, and sovereign AI requirements.
Ability to identify market opportunities and direct resources to build solutions that fill them.
Excellence in defining clear technical handoffs to both Engineering (for build) and GTM teams (for sale).
Be a leader in open communication, open culture, and lead cross functional, cross company teams to success with a positive and results driven mindset.
Knowledge of OpenShift, Kubernetes, RHEL, Inference, and the NVIDIA software portfolio (NVAIE).

Benefits

Comp & perks

Comprehensive medical, dental, and vision coverage
Flexible Spending Account - healthcare and dependent care
Health Savings Account - high deductible medical plan
Retirement 401(k) with employer match
Paid time off and holidays
Paid parental leave plans for all new parents
Leave benefits including disability, paid family medical leave, and paid military leave
Additional benefits including employee stock purchase plan, family planning reimbursement, tuition reimbursement, transportation expense account, employee assistance program, and more!

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Hard Skills & Tools

technical leadershiprequirement sourcingarchitectural scopingAI Infrastructure strategysolution strategyuse-case strategymarket opportunity identificationtechnical handoffdeep engineering collaboration

Soft Skills

leadershipopen communicationcross-functional collaborationresults-driven mindsetstrategic thinking