Data Cloud Sales Specialist, EMEA North

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X Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Stockholm, Sweden; Munich, Germany; Warsaw, Poland.

Minimum qualifications:

• 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 to business executives.
• Experience positioning and selling technical solutions in data management, analytics, infrastructure, or AI/ML.

Preferred qualifications:

• 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 other 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, with experience selling across a wide set of industries (i.e. Retail, Manufacturing, Services, etc).
• Practical understanding of how modern cloud architectures, data governance (e.g., cataloging, lineage, compliance), and clean data estates enable AI and real-time analytics.

About the job

As part of the Data Cloud Sales Specialists team, we work together with Field Sales Representatives (Account Managers), Customer Engineers, and our Partners to help our customers modernize their operational and analytical data foundations on GCP. We enable them to transition to modern, unified cloud architectures that position data as the absolute foundation for AI success and power next-generation AI and intelligent applications. As a master of complex lakehouse solutions, data governance, and AI, you will be a sales expert we need to translate technical capabilities into high-impact business outcomes.

You will be at the forefront of driving Google Cloud's most critical data and AI growth. In this role, you will drive growth by securing net-new greenfield logos and identify untapped, uncommitted workloads. You will partner with Field Sales Representatives, Customer Engineers, and partners to execute joint Data and AI plays that establish long-term data platform standardization.

You will be a master of value-selling. You will engage with line-of-business (LoB) leaders, CDO, CAIO, and CFO to discover critical pain points, build robust business cases (ROI/TCO reduction), and demonstrate the quantifiable business value of modernizing data estates on GCP.

Additionally, you will guide technical stakeholders and position Google Cloud's Agentic Data Cloud suite (BigQuery, Knowledge Catalog, Borderless Lakehouse, Spanner, AlloyDB) as the premium data intelligence platform for AI. You will present demos that showcase how unified, well-governed data foundations power secure, hallucination-free AI agents and real-time experiences.

Google Cloud accelerates every organization's ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google's cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

Germany: €96000 - €98000 (EUR) 100% bonus target equity benefits
Poland: zł348000 - zł356000 (PLN) 100% bonus target equity benefits
Sweden: kr880000 - kr900000 (SEK) 100% bonus target equity benefits

Learn more about benefits at Google .

Responsibilities

• Deliver against quota and achieve or exceed strategic business and growth goals. Drive net-new greenfield logos and workloads in existing accounts through proactive campaigns.
• Run complex, multi-threaded business cycles from initial discovery and value hypothesis to ROI business case creation and commercial close.
• Engage business leaders, Chief Data Officer, Chief Financial Officer, Chief Marketing Officer, Chief AI Officer, through value-selling, tying modern Data and AI capabilities to quantified business outcomes.
• Align cross-functionally with FSRs and Partners to execute joint Data and AI plays, driving platform standardization and co-sell motions.
• Whiteboard modern architectures (BigQuery, Spark, Spanner, AlloyDB) to demonstrate how unified data foundations power high-performance, hallucination-free AI agents.

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Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.

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