# Advisory Solution Consultant, Workflow Data Fabric and Intelligent Automation at ServiceNow

- Company: ServiceNow
- What the company does: It all started in sunny San Diego, California in 2004 when a visionary engineer, Fred Luddy, saw the potential to transform how we work. Backed by Greylock and Sequoia.
- Company website: https://www.servicenow.com/
- Type: Startups
- Level: Mid level
- Location: San Diego, California
- Work setup: On-site
- Pay: $166K to $274K base salary per year (USD)
- Posted: 2026-09-24
- Apply by: 2026-11-08
- Apply: https://jobs.smartrecruiters.com/ServiceNow/744000151681299
- Page: https://www.1752.vc/careers/jobs/servicenow-advisory-solution-consultant-workflow-data-fabric-and-intelligent-aut/

## About the role

Join us in shaping digital transformation through data-driven innovation and delivering impactful solutions with the power of ServiceNow. Not sure if you meet every qualification? We still encourage you to apply! We value inclusivity, welcoming candidates from diverse backgrounds, including non-traditional paths. Unique experiences enrich our team, and the willingness to dream big makes you an exceptional candidate!

## What they're looking for

- Customer Engagement: Lead technical discovery sessions, thoroughly understand complex data integration challenges and requirements, and translate them into effective ServiceNow-based solutions
- Collaboration and Leadership: Closely collaborate with sales, product, engineering, and delivery teams to ensure comprehensive solution alignment and successful project execution
- Sales Strategy: Support the presales lifecycle from opportunity qualification through close, effectively driving sales targets with tailored data integration-focused solutions
- Continuous Learning: Maintain deep technical expertise on ServiceNow’s Workflow Data Fabric, NowAssist, Agentic AI, and stay informed of industry trends and emerging technologies in data engineering
- 5+ years of experience in technical presales, solution architecture, or consulting roles, with a demonstrated track record in enterprise-scale data integration and analytics solutions
- Strong technical background in data engineering, including hands-on experience with data ingestion tools, ETL processes, data modeling, storage solutions (relational and NoSQL databases), and analytics platforms

Tags: Sales