Technical Success Account Manager, Alphabet Bets AI Infrastructure, Google Cloud

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SeniorOn-site·KrakówFull-time

#479353·Dodano 2 dni temu·0

Źródło: Google

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Tech Stack / Keywords

Google Kubernetes Engine (GKE)Kubernetes Google CloudGPUTPUInfrastructure-as-Code (IaC)HPCKueue/MultiKueueGCENVIDIA

Podsumowanie oferty

As a Technical Success Account Manager, you will support Alphabet Bets AI infrastructure and frontier research workloads on Google Kubernetes Engine (GKE). You will guide platform health, technical governance, and resilient multi-cluster architectures for large-scale GPU and TPU workloads.

Wymagania

Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
10 years of experience in a customer-facing role working with stakeholders and managing technical implementations or transformation programs.
Experience with cloud computing and enterprise architecture principles, including Kubernetes (GKE), GPU/compute infrastructure, networking, security, Infrastructure-as-Code (IaC), cloud-native operations, and observability frameworks in production environments.
Experience presenting to technical and executive stakeholders.

Preferred qualifications:

Master's degree or MBA in a Management, Technical, or Engineering field, and cloud professional certifications.
Experience supporting frontier AI/ML training or high-performance computing (HPC) workloads in critical cloud operations domains, including capacity planning, release management, and escalation management procedures.
Experience leading technical governance activities, such as Architecture Review Boards (ARBs), resilience reviews, and developing reference architectures for multi-cluster Kubernetes (GKE, Kueue/MultiKueue) and accelerator fleets.
Experience coordinating cross-functional issue resolution across core product/engineering teams and external hardware OEMs or accelerator vendors (e.g., NVIDIA).

Obowiązki

Establish and lead technical governance, focusing on platform health metrics, capacity forecasting, and continuous GPU/TPU/compute cost optimization.
Provide technical guidance and lead adoption of GKE multi-cluster architecture, Infrastructure-as-Code (IaC), and scheduling best practices through in-depth search and workshops.
Drive platform stability and operational excellence through architectural and resilience health assessments across large-scale GPU and TPU supercomputing fleets.
Serve as strategic technical advisor and escalation lead for critical reliability concerns, high-severity incidents, and hardware/OEM anomalies affecting business-critical AI workloads.
Act as the internal customer advocate, translating technical obstacles to influence GKE/GCE product roadmaps while owning workload stabilization, SLA tracking, and ongoing optimization.

Benefity

20% bonus target.
Equity.

Premie

Udziały pracownicze

Google

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