Advisory Solution Consultant - CRM & Agentic AI

ServiceNow is looking for an Advisory Solution Consultant to help enterprises in the Swiss market unlock the potential of CRM and Agentic AI. The role sits in Zurich, is full-time and hybrid, and is a strong fit for someone who enjoys working closely with customers in their environment to turn data into measurable results. ServiceNow positions its AI platform as an orchestration layer that brings together AI, data and workflows to help large organizations work smarter, faster and better.

In this position you’ll be the technical faces of a different way of selling. Instead of leading with decks, you’ll embed with customers, conduct deep Discovery to isolate one high-value problem, and prove value in the open by building a working Proof of Value on the customer’s own data using Agentic workflows. You’ll partner with Sales, Product Management and executive leadership to turn a single, well-chosen use case into data-backed proof that advances the relationship. The role blends a Sr. Advisory Solution Consultant mindset with hands-on, field-based engineering, configuring and proving solutions inside a customer’s environment rather than presenting finished products from the outside.

ServiceNow describes work arrangements as flexible for a distributed workforce. The company notes work personas that reflect flexibility, with details available on its site. To learn more about how they classify roles and location flexibility, you can follow the linked information in their materials.

The embedded path to CRM and AI outcomes

Day by day, you’ll run a Discovery-first, POV-centric engagement, using your technical depth and Agentic workflow know-how to turn customer data into tangible outcomes while supporting regional sales targets. You’ll act as the embedded technical lead alongside the sales team to pursue transformational CRM opportunities, and you’ll map the customer’s data and systems before any product is shown. Demonstrations stay minimal and purposeful, serving to establish credibility while the real value is proven on live data.

You’ll work to secure and define a POV, earning customer sponsorship to engage in a hands-on cycle where Agentic workflows are built against the client’s environment. You’ll configure those workflows, pull in the customer’s live data, and deliver measurable results that can be quantified and narrated to executives. Translating those outcomes into a compelling value story helps move the relationship from a single proven use case to enterprise-wide adoption, and you’ll collaborate with Product Management to feed field learnings back into Agentic workflow and integration improvements.

Throughout, data privacy, security expectations and enterprise compliance standards guide every Discovery and POV engagement. You’ll also codify reusable POV assets and Discovery playbooks so the embedded POV motion scales across the team, and you may represent the company at enterprise events and leadership forums as a hands-on technical voice for this approach.

Must-haves

Here’s what the team considers essential.

• A builder’s instinct: you’re comfortable getting hands-on with a customer’s data and environment to prove value directly, rather than leaning on canned demos
• POV-centric selling: you can scope, sell and deliver Proof-of-Value engagements that translate a single problem into quantified, data-backed outcomes
• Discovery rigor: you excel at quickly identifying the right problem and securing customer commitment to a POV
• Agentic and AI fluency: you understand Agentic workflows and AI-driven automation and know how to apply them to CRM problems on live data
• CRM expertise: you have solid hands-on experience with CRM and customer experience, including service, sales, and lead-or opportunity-management know-how
• Enterprise experience: you’ve worked with large organizations and earned executive sponsorship for hands-on, data-driven engagements
• Strong communication: you can translate technical POV results into business-focused value stories for senior stakeholders
• Collaboration: you’ve proven you can work effectively in cross-functional, global teams spanning Sales, Product and delivery

Nice-to-haves

These qualifications help, but aren’t required at the outset.

• Hands-on POVs or prototypes: a track record of proving value on real customer data, not just presenting concepts
• AI and Agentic workflow experience: practical work applying these tools to automate CRM-related processes and analyze AI-driven outcomes
• 10+ years in pre-sales solution consulting or sales engineering, with a shift toward Discovery-led, proof-based selling
• Familiarity with the ServiceNow platform, or strong technical proficiency with cloud software
• Experience collaborating with product management, product marketing, partners and professional services
• A history of partnering with a Sales counterpart to drive execution excellence and pursue transformational opportunities

Advice for applicants

Lead with a POV project on your resume. Highlight a real customer problem you isolated through Discovery, the live data you worked with, and the measurable outcome you delivered using an Agentic workflow. Make the arc clear: from problem to data to action to impact.

Show how you prove value with concrete examples. Describe how you mapped data and systems, secured sponsorship, and built a POV that led to a data-backed business result rather than a polished demonstration. Quantify the impact when you can, and point to the live data you used.

Be ready to talk through your interview plan. Explain how you would conduct Discovery in a Swiss CRM context, how you’d structure a POV with the customer’s data, and how you’d keep product demonstrations minimal while still proving impact. Also be prepared to discuss cross-functional collaboration with Sales, Product and Delivery teams.

Ask a smart, role-specific question. Consider asking how the team scales POV assets across the region, how Agentic workflows integrate with ERP or other enterprise systems, or how they measure success after the POV moves into enterprise adoption.