Sales Engineer \ Commercial Engineer

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 centre of every business decision - and Alteryx is leading the transformation. No matter your role, the work you do will help organisations move faster, see more clearly, and tackle questions that used to feel impossible.

At Alteryx, you’ll help some of the world’s most data-driven organisations modernise their analytics with AI, automation, and cloud data platforms. This is an opportunity to work at the centre 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 modernisation, 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 organisation, 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, BigQuery, Redshift, or Microsoft Fabric.
• 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.
• Familiarity with SQL, Python, R, Apache Spark, or similar technologies is a plus.
• 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.

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.