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1–1 jobs· newest first

AI Infrastructure Global Technical Sales Lead
Google · Austin, US+4 more
$192K–$267KOn-site · Full-time · Senior

+10K new in the last hour

AI Infrastructure Global Technical Sales Lead

Google · Posted Nov 6, 2026

Austin, Texas, United States +4 more
On-site
Full-time · Senior
$192K–$267K per year
10+ years

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Lead customer-facing technical engagements and guide enterprise AI infrastructure strategy as a field technical leader.

Locations (5)

Austin, Texas, United States
Chicago, Illinois, United States
Addison, Texas, United States
Houston, Texas, United States
Sunnyvale, California, United States

Compensation

US: $192000 - $267000 (USD) + 42.86% bonus target + equity + benefits

Responsibilities

Lead customer-facing technical engagements, partnering with C-level executives, research leads, and engineering teams to define AI infrastructure strategy and optimize price-per-flop performance.
Guide customers through complex system architecture designs, including workload sizing, mixed-compute deployments, and performance trade-offs between TPU and GPU clusters.
Partner cross-functionally with Core Infrastructure Engineering, Specialist Sales, and Product Management to resolve technical blockers on tier-one engagements and develop global sales playbooks.
Define requirements across backend operational layers and distributed systems to accelerate adoption of specialized accelerator hardware and large model training/inference stacks.
Represent customer requirements back to product and engineering teams to influence future hardware roadmaps, software tooling, and platform capabilities.

Requirements

Bachelor's degree or equivalent practical experience
Nice to have: Master’s degree or PhD in Computer Science, Computer Engineering, or a related field
Nice to have: partnering with ecosystem players
Nice to have: OEMs
Nice to have: ODMs

Skills

technical pre-sales systems engineering technical consulting modern HPC AI networking GPU/accelerator application performance technical sales strategies enterprise customers full-stack AI/ML compute infrastructure data center solutions technical stakeholders executive leaders distributed training inference frameworks collective communications libraries NCCL modern AI software stacks

Benefits

benefits

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