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Sales Engineer

Remote / Online - Candidates ideally in
Greater London, London, Greater London, W1B, England, UK
Listing for: We Love AI Jobs
Full Time, Remote/Work from Home position
Listed on 2026-10-12
Job specializations:
  • Sales
    Technical Sales, Sales Engineer
  • IT/Tech
    Technical Sales, Sales Engineer
Salary/Wage Range or Industry Benchmark: 70000 - 110000 GBP Yearly GBP 70000.00 110000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

# Sales Engineer Alteryx London , United Kingdom Full-time Upload your resume once and Scout applies for you Apply with Scout Share this job:

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This customer-facing sales engineering role helps organizations assess Alteryx for analytics modernization, automation, and cloud data work. You’ll lead technical discovery, build demonstrations and proofs of value, and support opportunities alongside sales and product teams.
* Permanent* On-site
* 4+ years### Skills and expertise

AlteryxAWSAzureGCPSnowflake

DatabricksSQLPython### Key responsibilities
* Lead technical discovery to understand customer goals, data landscapes, architectures, and success criteria.
* Design and deliver demonstrations, workshops, and proofs of value across cloud, hybrid, and on-premises environments.
* Support technical validation, proposals, and deal strategy throughout the sales cycle.## How this job compares

Compared with 782 open senior sales jobs on October 10, 2026.Similar open jobs:
We Love AI Jobs lists 782 open senior sales jobs at 221 companies.

Remote work:
This job is on site. 329 of the 782 senior sales jobs (42%) are remote.

AI in this role:
Medium. The role uses AI tools and works with AI systems as a regular part of the job. The role regularly evaluates and demonstrates Alteryx capabilities for AI-driven workflows and AI/ML use cases. Its broader focus also includes analytics, automation, cloud platforms, and technical sales.## Full description

Meet the Moment with Alteryx We're living through a once-in-a-generation shift in how work gets done. Data, automation, and AI are quickly becoming the center of every business decision - and Alteryx is leading the transformation.

You'll be working on the challenges that sit at the heart of modern business. No matter your role, the work you do will help organizations move faster, see more clearly, and tackle questions that used to feel impossible.

If you're ready to meet the moment with innovation, curiosity, and excellence, there's a place for you here.

Why Join Us?

At Alteryx, you’ll help some of the world’s most data-driven organizations modernize their analytics with AI, automation, and cloud data platforms. This is an opportunity to work at the center of analytics transformation, helping customers connect data, scale decision-making, and unlock value from modern cloud and AI-driven architectures.

Position Overview The Senior Sales Engineer at Alteryx is a trusted technical advisor who partners with customers and internal account teams to solve complex analytics challenges with AI, automation, and cloud data platforms. In this role, you will bridge customer business and technical requirements with Alteryx capabilities across cloud, hybrid, and on-premises environments.

Working closely with the go-to-market team, the Senior Sales Engineer leads technical discovery, delivers tailored product demonstrations, and supports proof-of-value and proof-of-concept engagements for qualified opportunities. The ideal candidate brings strong experience in data analytics, cloud data platforms, modern data architectures, and AI-enabled workflows, and is comfortable operating independently on complex opportunities while collaborating across sales, partners, product, and customer teams.

Primary Responsibilities
• Partner with Account Executives and the wider go-to-market team on qualified opportunities, with a primary focus on new logo acquisition, aligning Alteryx solutions to customer priorities around analytics modernization, AI adoption, automation, and cloud data platforms.
• Lead technical discovery with business and technical stakeholders to understand customer objectives, current architecture, data landscape, and success criteria.
• Design and deliver compelling demos,…
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