At a Glance
- Tasks: Partner with teams to solve complex analytics challenges using AI and cloud data platforms.
- Company: Join Alteryx, a leader in data-driven transformation and innovation.
- Benefits: Competitive salary, diverse workplace, and opportunities for professional growth.
- Other info: Dynamic role with travel opportunities and a focus on collaboration.
- Why this job: Make an impact by helping businesses modernise their analytics and embrace AI.
- Qualifications: 4+ years in sales engineering or related fields with strong data analytics experience.
The predicted salary is between 60000 - 80000 £ per year.
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.
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 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, 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.
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.
Senior Sales Engineer — AI, Analytics & Cloud Data employer: Alteryx Inc.
At Alteryx, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to innovate and excel. As a Senior Sales Engineer in London, you'll not only engage with cutting-edge AI and cloud technologies but also benefit from extensive professional development opportunities and a collaborative environment that values diverse perspectives. Join us to be part of a transformative journey where your contributions directly impact the future of analytics and data-driven decision-making.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Sales Engineer — AI, Analytics & Cloud Data
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend relevant meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Nail that interview prep! Research Alteryx thoroughly, understand their products, and be ready to discuss how your skills align with their needs. Practice common interview questions and prepare some insightful questions of your own to show your interest.
✨Tip Number 3
Showcase your expertise! Create a portfolio or case studies that highlight your experience with data analytics, AI, and cloud platforms. This will give you an edge and demonstrate your hands-on knowledge during discussions.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in being part of the Alteryx team. Don’t miss out!
We think you need these skills to ace Senior Sales Engineer — AI, Analytics & Cloud Data
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience with data analytics, AI, and cloud platforms. We want to see how your skills align with the role of Senior Sales Engineer!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical know-how! Mention any relevant tools or technologies you’ve worked with, like SQL, Python, or cloud platforms. We love seeing candidates who can bridge the gap between business and tech.
Be Clear and Concise:When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your achievements and experiences. We appreciate a well-structured application!
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’s super easy to do!
How to prepare for a job interview at Alteryx Inc.
✨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 modern analytics landscape. 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 resonate with the specific needs of the customer. Think about how you can showcase Alteryx’s capabilities in a way that addresses their unique challenges. Practice makes perfect, so rehearse your demos until you can present them smoothly.
✨Engage with Stakeholders
During the interview, demonstrate your ability to engage effectively with both technical and business stakeholders. Share examples from your past experiences where you successfully bridged the gap between technical requirements and business objectives. This will highlight your collaborative skills and understanding of customer needs.
✨Stay Current
Keep yourself updated on the latest trends in AI, cloud data platforms, and analytics. Being able to discuss current market trends and how they relate to Alteryx’s offerings will show that you’re proactive and knowledgeable. It’s a great way to impress your interviewers and position yourself as a thought leader.
