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: Enjoy competitive salary, flexible work options, and opportunities for professional growth.
- Other info: Dynamic team culture focused on diversity, equity, and inclusion.
- Why this job: Make a real 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.
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.
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.
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. 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-Driven Analytics & Cloud Data in London employer: Dormont Manufacturing Co
At Alteryx, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As a Senior Sales Engineer, you'll not only engage with cutting-edge AI-driven analytics but also benefit from extensive professional development opportunities in a supportive environment that values diversity and inclusion. Located at the forefront of the analytics transformation, our team is dedicated to empowering you to make a meaningful impact while enjoying a flexible work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Sales Engineer - AI-Driven Analytics & Cloud Data in London
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Dormont Manufacturing Co!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Senior Sales Engineer - AI-Driven Analytics & Cloud Data at Dormont Manufacturing Co.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Dormont Manufacturing Co.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Sales Engineer - AI-Driven Analytics & Cloud Data at Dormont Manufacturing Co, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Senior Sales Engineer - AI-Driven Analytics & Cloud Data in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Dormont Manufacturing Co, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Dormont Manufacturing Co. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Dormont Manufacturing Co
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Dormont Manufacturing Co!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
