Sales Engineer

We Love AI Jobs; Greater London; Hybrid; GBP 70,000 - 110,000; Full time

Job summary

Alteryx is seeking a Senior Sales Engineer to act as a trusted technical advisor across cloud, hybrid, and on‑premises environments. You will lead technical discovery, deliver demonstrations, and support proofs of value for qualified opportunities in analytics modernization, automation, AI, and data platforms.

The role requires 4+ years in pre-sales or sales engineering, with strong knowledge of analytics workflows and cloud platforms.

Qualifications

• Minimum 4+ years in pre-sales, sales engineering or solution consulting.
• Experience across analytics, data engineering, BI, or automation domains.
• Knowledge of AWS, Azure, or GCP and cloud data platforms.
• Strong understanding of analytics workflows and data governance.

Responsibilities

• Lead technical discovery with customers to understand goals and architectures.
• Design and deliver demos, workshops, and proofs of value across environments.
• Support proposals, RFPs, and deal strategy during the sales cycle.
• Evaluate data preparation, analytics automation, and AI-driven workflows.
• Address architecture, connectivity, security, and deployment questions.
• Collaborate with account teams to drive broader platform adoption.

Skills

Data analytics

Business intelligence

Data engineering

Data science

Automation

Tools

Alteryx

AWS

Azure

GCP

Snowflake

Databricks

SQL

Python

Job description

# Sales EngineerAlteryxLondon, United KingdomFull-timeUpload your resume once and Scout applies for youApply with ScoutShare this job:LinkedInXSave imageThis 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 expertiseAlteryxAWSAzureGCPSnowflakeDatabricksSQLPython### 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 comparesCompared 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 descriptionMeet the Moment with AlteryxWe'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 OverviewThe 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, BigQuery, 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.