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Advisory Presales Solution Consultant - Platform, Data & AI

Job in 1001, Lausanne, Canton de Vaud, Switzerland
Listing for: ServiceNow
Full Time position
Listed on 2026-02-12
Job specializations:
  • IT/Tech
    AI Engineer, IT Consultant
Salary/Wage Range or Industry Benchmark: 80000 - 100000 CHF Yearly CHF 80000.00 100000.00 YEAR
Job Description & How to Apply Below

It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Fast forward to today — Service Now stands as a global market leader, bringing innovative AI-enhanced technology to over 8,100 customers, including 85% of the Fortune 500®. Our intelligent cloud-based platform seamlessly connects people, systems, and processes to empower organizations to find smarter, faster, and better ways to work.

But this is just the beginning of our journey. Join us as we pursue our purpose to make the world work better for everyone.

Overview

Advisory Presales Solution Consultant – Platform, Data & AI: you will be the technical and solution expert partnering with Solution Sales Executives, focusing on Data solutions while also driving broader Custom Application and AI initiatives. Your mission is to drive innovative business outcomes for enterprise customers by architecting, positioning, and delivering advanced AI and Data solutions on the Service Now platform.

You will act as a trusted technical advisor to architects, translating complex architectures into measurable business value, and enabling customers to modernize their data ecosystems while realizing the full potential of AI-enabled workflows on the Service Now platform.

Responsibilities
  • Technical Leadership & Solution Delivery
  • Build trusted customer relationships and engage early to support shaping AI, Custom Application and Data strategies.
  • Lead consultative discovery sessions with C-suite stakeholders to understand business challenges, define requirements, and co-create solution visions that align Service Now’s Platform, Data & AI capabilities with customers’ transformation goals.
  • Design innovative, state-of-the-art solution experiences that address specific business challenges and deliver them through impactful storytelling.
  • Serve as the technical subject matter expert throughout the sales process, qualifying opportunities, responding to RFPs and RFIs, and providing architectural guidance to ensure solutions are feasible, scalable, and positioned for successful adoption and expansion post-sale.
  • Provide thought leadership that showcases Service Now innovations, inspiring not only the Service Now community but also sales and solution consultant teams.
  • Collaborate with broader Solution Consulting teams to build and present reusable yet easily tailored demonstrations, hands-on proof-of-concepts, and “art of the possible” workshops that clearly communicate technical value and business impact, driving customer validation and buy-in.
  • Actively drive and support regional knowledge and best-practices sharing and enablement activities for colleagues, customers and partners.
  • Present at executive briefings, industry events, and partner forums to share Service Now’s vision on data, analytics, and AI-driven enterprise transformation. Lead executive briefings on AI operating models, governance, ROI, and risk (responsible AI, privacy, IP protection).
  • Provide essential customer-based product feedback to Product Management for continuous improvement.
  • Integrate AI/ML, business intelligence, and analytics strategies into customer solutions, ensuring alignment with business transformation goals.
  • Ensure customer advocacy, renewal, and upsell by overseeing adoption and value realization.
  • Build industry-specific playbooks linking AI use cases to functional outcomes (IT, customer operations, employee experience, security).
Qualifications
  • 5+ years in presales solution consulting, technical architecture, or solution delivery in any of AI, Data, Analytics, or cloud platforms.
  • Strong business acumen and communication skills to translate technical capabilities into clear business outcomes and value realization.
  • Some hands-on experience with GenAI, LLMs, Knowledge Graphs, and Vector Databases. Strong understanding of data fabric architectures, data integration strategies, and the modernization of legacy data ecosystems to support an AI-first strategy is a benefit.
  • Skilled in architectural and value-based discussions on advanced analytics and/or AI, preferably with proficiency in data-driven Agentic AI business solutions.
  • Prove…
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