Google

Data Cloud Sales Specialist, EMEA North

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SeniorOn-site·WarszawaFull-time

#469666·Dodano 16 dni temu·2

Źródło: Google

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Tech Stack / Keywords

Google Cloud GCP BigQueryKnowledge CatalogBorderless LakehouseSpannerAlloyDBSpark GenAIAI/ML

Podsumowanie oferty

Drive growth for Google Cloud’s data and AI platform by securing new customers and workloads and building value cases with business leaders. Position BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, and AlloyDB as data foundations for AI applications.

Wymagania

Bachelor's degree or equivalent practical experience.
7 years of experience with quota-carrying cloud or software sales.
Experience building business cases through workshops or product demos for business executives.
Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Nice to have:

Experience selling across the Financial Services or Manufacturing industries.
Experience positioning modern cloud data platforms, lakehouses, real-time streaming, or GenAI platforms against legacy or proprietary enterprise systems.
Experience working with Global System Integrators, hyperscalers, or ISVs to co-sell and accelerate pipeline.
Broad, relevant experience in solution selling to enterprises across industries such as Retail, Manufacturing, and Services.
Practical understanding of modern cloud architectures, data governance (such as cataloging, lineage, and compliance), and clean data estates as enablers of AI and real-time analytics.

Obowiązki

Deliver against quota and achieve or exceed strategic business and growth goals; drive new greenfield logos and workloads in existing accounts.
Run complex business cycles from discovery and value hypothesis through ROI business case creation and commercial close.
Engage business leaders, including CDO, CFO, CMO, and CAIO, through value-selling and connect data and AI capabilities to quantified business outcomes.
Align with Field Sales Representatives and partners on joint Data and AI initiatives, platform standardization, and co-selling.
Whiteboard modern architectures using BigQuery, Spark, Spanner, and AlloyDB to demonstrate how unified data foundations power AI agents.

Benefity

Premie

Udziały pracownicze

Google

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