Data Cloud Sales Specialist, EMEA North
- Compensation
- Not disclosed
- Location
- Stockholm, Sweden; Munich, Germany; Warsaw, Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 7+ years
- Category
- Sales
- Posted
Skills
Must have
- 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.
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 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.
Full description
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.
- 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.