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At Cloudera, we empower people to transform complex data into clear and actionable insights. With as much data under management as the hyperscalers, we're the preferred data partner for the top companies in almost every industry. Powered by the relentless innovation of the open source community, Cloudera advances digital transformation for the world’s largest enterprises. The AI & Cloud Sales Team is a purpose-built growth engine that turns our corporate AI & Cloud strategy into repeatable, revenue-producing execution in the field. This team combines driving direct sales to named accounts, as well as supporting the wider field with general Cloud and AI adoption. The team you would be joining operates as a cross-functional hub, that aligns Product, PS, Marketing, Partners, Revenue, Operations and Enablement around standard play frameworks—target account lists, discovery cadences, pitch assets, proposals, virtual Hands-On-Labs, and more, so the field never starts from scratch. The team also amplifies core account coverage by engaging new AI personas, orchestrating partner funding, and shortening the path from interest to “deployed and showing value” across our Cloud Anywhere form factors. Success is measured in AI & Cloud -sourced pipeline, Closed deals and consumption growth in our largest and highest-potential accounts.
Job Responsibility:
Be the sales expert helping shape customer decisions to buy and adopt Cloudera AI & Cloud technology, serving as a thought leader and trusted advisor to CEMEA field sales teams
Own AI & Cloud pipeline and bookings in your patch: Align to a VP and drive sourced and influenced AI & Cloud pipeline across your region (CEMEA). Own AI & Cloud specific booking and consumption targets. Own and Manage the Forecast for your region. Deliver incremental Revenue through use case adoption with existing customers and new logos via Opportunity owndership
Be the AI & Cloud face to our largest accounts: Act as the go-to AI & Cloud Sales specialist for strategic & enterprise accounts. Lead AI-focused discovery, whiteboards, and value conversations with client personas, and line-of-business owners. Expand beyond traditional IT
help account teams reach new AI & Cloud buyers in the business
Run AI & Cloud Sales plays, end-to-end: Use our key sales plays as your primary motions to Open: land meetings using TALs, cadences, campaigns and events. Prove: design and sell funded pilots (vHOLs, Jumpstarts, Builder Series). Close: convert pilots to production and incremental ARR / consumption. Make sure every serious AI & cloud conversation ends with clear next steps: workshop, vHOL, pilot, or POV
Partner across SEs, PS, VM and Cloud Ops: Team with SEs for deep technical validation, architecture sessions, and competitive proof. Align with PS to bundle delivery motions (Jumpstart, Builder Series, Hackathon/vHOL) into every deal. Use Cloud / Field Ops dashboards to track your AI & Cloud pipeline, pilots, wins, and consumption impact
Requirements:
10+ years in enterprise software / cloud / data selling (AE, overlays, or specialist roles), with a track record in complex, multi-stakeholder deals
Fluency in German is essential for this role
Proven experience opening, shaping, and closing Deals (Cloud, Data, AI/ML, Analytics, or similar)
Proven experience of managing and growing cloud consumption within a set of customers or region
Comfortable being the “AI person” in the room—you don’t need to be able to write code, but you can credibly talk about AI, agents, LLM-driven use cases, and why architecture + economics matter
Strong hunting muscle: you know how to work account lists, partners, and existing customer base to create net-new opportunities, not just wait for inbound
Field-friendly style: you know how AEs, SEs, CSMs, and Partners really work, and you’re good at co-selling without stepping on toes
Executive-level communication: you can simplify complex ideas for executives, tell a clear business story, and connect AI to outcomes in plain language
Hands-on knowledge of the big data ecosystem, including selling or delivering data warehousing, data engineering, data in motion, operational databases, and/or machine learning technologies
BA/BS or equivalent educational background with an ability to operate independently in an entrepreneurial environment