Sales Engineer, Alteryx
Analytics & data science automation
Posted today
Analytics & data science automation
1001+ employees
Posted today
1001+ employees
Company mission
To put data and AI to work for the Intelligent Enterprise.
Role
Who you are
- 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
- 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
- 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
What the job involves
- Sentence Splitter
- 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
- 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
Salary benchmarks
Our take
Alteryx brings a suite of tools to automate data driven processes on a large scale, massively speeding up data based procedures. The system also uses AI to analyse data and provide insights to enable rapid decision making.
What Alteryx does differently from other data science tool developers is focus on the accessibility of its software, taking a low code/no code approach. This allows for greater collaboration between people with differing skill sets, speeding up processes for its users.
The business has made some strategic partnerships over time, most notably with Snowflake and Blue Prism. And with AI becoming more, Alteryx is projected to make major inroads in its market as more companies turn to automated solutions for data analysis.
Steph
Company Specialist at Welcome to the Jungle
Insights
51% employee growth in 12 months
Company
Funding (last 2 of 4 rounds)
Oct 2015
$85m
SERIES C
Oct 2014
$60m
SERIES B
Total funding: $217m
Company HQ
Irvine Business Complex, Irvine, CA
Leadership
Dean Stoecker
(Executive Chairman)Dean began his career as a Sales Manager at D&B and Strategic Mapping for 6 years, before working as CEO of SRC for 13 years. In 1997, he co-founded Alteryx, serving as CEO from 2010, and has been Executive Chairman since 2020.
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