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Alteryx

Sr. Sales Engineer

Posted 6 Days Ago
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In-Office
London, Greater London, England, GBR
Senior level
In-Office
London, Greater London, England, GBR
Senior level
The Senior Sales Engineer at Alteryx works closely with customers to understand their complex analytics needs, delivering customized demonstrations and supporting technical validation during the sales process.
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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, an 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, workshops, and POVs/POCs that clearly demonstrate the value of Alteryx in customer environments across cloud, hybrid, and on-premises deployments.
  • Help customers evaluate solution approaches for data preparation, analytics automation, AI-driven workflows, and integration with cloud data platforms.
  • Address technical questions and objections related to architecture, connectivity, governance, security, scalability, and deployment patterns.
  • Support technical validation throughout the sales cycle, including proposals, RFP responses, and opportunity strategy for complex deals.
  • While the primary emphasis is on new logo acquisition, support expansion opportunities within existing customers by identifying additional use cases, mapping customer pain points to Alteryx capabilities, and helping account teams drive broader platform adoption where appropriate.
  • Stay current on Alteryx products, competitive offerings, and market trends in AI, cloud data platforms, and modern analytics architectures.
  • Share field feedback, reusable assets, and best practices with the SE organization, and provide informal guidance to less experienced team members where appropriate.
Qualifications
  • 4+ years of pre-sales, sales engineering, solution consulting, or related experience in enterprise software, with strong experience in data analytics, business intelligence, data engineering, data science, or automation.
  • Experience across two or more relevant domains such as analytics, ETL/ELT, cloud data platforms, AI/ML workflows, automation, or enterprise data architecture.
  • Knowledge of public cloud platforms such as AWS, Azure, or GCP, and exposure to cloud data platforms such as Snowflake, Databricks, Big Query, Redshift, or Microsoft Fabric. Relevant certifications are a plus, although not a requirement.
  • Strong understanding of analytics workflows, data integration, data governance, automation, and how modern analytics solutions fit into governed enterprise environments.
  • Understanding of on-premises and cloud data sources connectivity, including APIs, ODBC/JDBC, and identity-based integrations such as OAuth and SSO.
  • Ability to engage effectively with technical decision makers, analysts, data engineers, architects, IT stakeholders, and business leaders.
  • Strong presentation, demo, and storytelling skills, with the ability to explain complex technical concepts clearly and credibly.
  • Familiarity with SQL, Python, R, Apache Spark, or similar technologies is a plus.
  • Experience with Alteryx or similar analytics platforms is highly desirable.
  • Ability to work independently in a fast-paced environment, manage multiple priorities, and remain closely aligned to the sales process.
  • Travel up to 40%, or as required.

Find yourself checking a lot of these boxes but doubting whether you should apply? At Alteryx, we support a growth mindset for our associates through all stages of their careers. If you meet some of the requirements and you share our values, we encourage you to apply. As part of our ongoing commitment to a diverse, equitable, and inclusive workplace, we’re invested in building teams with a wide variety of backgrounds, identities, and experiences.

This position involves access to software/technology that is subject to U.S. export controls. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls.

Top Skills

AI
Spark
Automation
AWS
Azure
Big Query
Cloud Data Platforms
Data Analytics
Databricks
GCP
Microsoft Fabric
Python
R
Redshift
Snowflake
SQL

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