At a Glance
- Tasks: Partner with teams to solve analytics challenges using AI and cloud platforms.
- Company: Join Alteryx, a leader in data analytics and automation.
- Benefits: Competitive salary, flexible work options, and opportunities for growth.
- Other info: Dynamic role with travel opportunities and a focus on innovation.
- Why this job: Make an impact by helping customers modernise their analytics with cutting-edge technology.
- Qualifications: 4+ years in sales engineering or related fields, with strong data analytics experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
- 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.
Alteryx, Inc. is an Equal Employment Opportunity Employer. Any job offer made will be contingent upon the applicant’s capacity to serve in compliance with U.S. export controls. If you require reasonable accommodation as part of the recruiting process, please contact Benefits@alteryx.com. Unsolicited third party/agency profiles and resumes will not be considered.
Sales Engineer employer: Alteryx UK Ltd
Alteryx is an exceptional employer that fosters a collaborative and innovative work culture, where employees are empowered to tackle complex analytics challenges using cutting-edge AI and cloud technologies. With a strong focus on professional development, team members have access to continuous learning opportunities and the chance to work alongside industry experts in a dynamic environment. Located in a vibrant area, Alteryx offers unique advantages such as flexible working arrangements and a commitment to diversity and inclusion, making it an ideal place for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Sales Engineer
✨Tip Number 1
Get to know the company inside out! Research Alteryx's products, values, and recent news. This will help you tailor your conversations and show that you're genuinely interested in what they do.
✨Tip Number 2
Practice your technical storytelling! As a Sales Engineer, you'll need to explain complex concepts clearly. Use examples from your past experiences to demonstrate how you've solved similar challenges.
✨Tip Number 3
Network like a pro! Connect with current employees on LinkedIn or attend industry events. This can give you insider insights and potentially a referral, which can really boost your chances.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you're serious about joining the team!
We think you need these skills to ace Sales Engineer
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Sales Engineer role. Highlight your experience with data analytics, cloud platforms, and AI workflows, as these are key areas for us at Alteryx.
Showcase Your Technical Skills:Don’t shy away from detailing your technical expertise! Mention any relevant tools or technologies you’ve worked with, like SQL, Python, or cloud platforms. We love seeing how you can bridge the gap between business needs and technical solutions.
Be Clear and Concise:When writing your application, keep it straightforward. Use clear language to explain your experiences and how they relate to the role. We appreciate candidates who can communicate complex ideas simply!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team!
How to prepare for a job interview at Alteryx UK Ltd
✨Know Your Stuff
Make sure you brush up on your knowledge of data analytics, cloud platforms, and AI workflows. Familiarise yourself with Alteryx's products and how they fit into the market. This will help you answer technical questions confidently and show that you're genuinely interested in the role.
✨Tailor Your Demos
Prepare to deliver tailored product demonstrations that align with the specific needs of the customer. Think about how you can showcase Alteryx's capabilities in a way that addresses their pain points and objectives. Practice your storytelling skills to make your demos engaging and relevant.
✨Engage with Stakeholders
During the interview, demonstrate your ability to engage effectively with both technical and business stakeholders. Be ready to discuss how you would lead technical discovery sessions and collaborate with account executives to drive new logo acquisition. Show that you can bridge the gap between business needs and technical solutions.
✨Stay Current and Share Insights
Show that you're proactive by discussing recent trends in AI, cloud data platforms, and analytics architectures. Share any insights or feedback you've gathered from your experience in the field. This not only highlights your expertise but also your willingness to contribute to the team’s success.
