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German-Speaking Marketing & Data Cloud Solution Engineer

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: Salesforce, Inc.
Full Time position
Listed on 2026-11-01
Job specializations:
  • IT/Tech
    CRM Systems & Management, Sales Engineer, Technical Sales, AI Engineer (Applied/Software)
Salary/Wage Range or Industry Benchmark: 120000 - 180000 CHF Yearly CHF 120000.00 180000.00 YEAR
Job Description & How to Apply Below
Job Category

Sales

Job Details About Salesforce

Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn’t a buzzword — it’s a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all.

Ready to level-up your career at the company leading workforce transformation in the agentic era? You’re in the right place! Agentforce is the future of AI, and you are the future of Salesforce.

Overview of the Role

The Salesforce Marketing Cloud platform is a leader in AI-driven customer experience solutions. It gives digital, data and marketing teams comprehensive capabilities to unify their data, segment audiences, gain insights and activate across customer touchpoints like email, mobile and web, while optimizing the marketing funnel through agentic capabilities.

As Marketing Architect, you will be the Swiss team's hands‑on technical specialist for Marketing Cloud Next and Data 360. Working alongside our pre‑sales Solution Engineers, you will support the most technically demanding parts of the customer journey: building proofs of concept, contributing to Mar Tech architecture designs, and helping customers get their first use cases live. You will be a link between customers, our product teams and our delivery ecosystem, and you will contribute reusable assets that help the wider team.

This role is part of the Swiss Solution Engineering team. It complements the Solution Engineers, who own deal coverage, by providing deep technical expertise that helps complex deals and deployments succeed.

Responsibilities

Success will be measured by the quality and impact of your technical contribution to the pipeline and to customer outcomes:

  • Work in close partnership with sales teams, partners, product and industry specialists
  • Support and co‑lead client technical workshops so that the proposed solution delivers customer success, addresses business and architectural challenges, and provides a path to fast ROI
  • Present and demonstrate technical solutions, with a passion for understanding business challenges and bringing the most value to customers
  • Build proofs of concept and prototypes on Marketing Cloud and Data 360, working to success criteria agreed with the Solution Engineer and your manager
  • Contribute to Mar Tech architecture designs, including integrations with CRM, commerce, content and analytics systems, with guidance from senior architects where needed
  • Stay informed on the latest innovations in customer experience management solutions
  • Share your successes and learnings with the team
Required Experiences and Qualifications
  • Native in German and English
  • 3+ years of experience in Solution Consulting, Technical Architecture, Technical Product or similar roles, demonstrating solutions to inspire and transform the customer experience
  • 3+ years working in one or more of:
    Digital Marketing (B2C and/or B2B), Marketing Automation, Customer Data Platforms and AI
  • Working knowledge of Mar Tech architectures and integrations with CRM, commerce, content and analytics systems through APIs, ETL and event streaming
  • A self‑starter who can learn, prioritize and manage time effectively
Advantageous/Preferred Experience s and Qualifications
  • Experience building and delivering POCs or implementations on marketing or data platforms
  • Technical expertise in any of:
    Customer Data Platforms (CDP), cloud data platforms, Loyalty Management, Analytics, Content Management Systems and/or Real‑time Personalisation
  • ML/AI project experience, including LLMs, prompt engineering and agentic use…
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