Sales Engineer at Alteryx Remote
New York, New York County, New York, 10261, USA
Listed on 2026-01-12
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IT/Tech
Data Engineer, Data Analyst, Data Science Manager, Cloud Computing
Location: New York
- Sales Engineer at Alteryx – New York, USA – Remote, United States
We’re looking for problem solvers, innovators, and dreamers who are searching for anything but business as usual. Like us, you’re a high performer who’s an expert at your craft, constantly challenging the status quo. You value inclusivity and want to join a culture that empowers you to show up as your authentic self. You know that success hinges on commitment, that our differences make us stronger, and that the finish line is always sweeter when the whole team crosses together.
Why work for just any analytics company? At Alteryx, Inc., we are explorers, dreamers and innovators. We’re on a journey to build the best analytics platform in the world, but we can’t do it without people like you, leading the way. Forget the stereotypical tech companies of the past. Embrace the unconventional, exercise your imagination and help alter the future with Alteryx.
Position Overview:
The Consulting Sales Engineer at Alteryx is a trusted technical advisor who helps enterprise customers modernize their analytics strategy with AI, automation, and cloud-based data solutions. In this role, you will play the pivotal role of bridging the gap between customer needs and Alteryx’s technical capabilities. This role involves working closely with the sales team to provide technical expertise, product demonstrations, and solution recommendations tailored to prospective clients.
The ideal candidate will possess a deep understanding of data analytics, integrating with Cloud Data Warehouses, on-premises to cloud migration journeys, and the evolving tech industry.
Primary Responsibilities:
- Lead technical engagements with strategic customers, providing pre-sales support for pre-qualified opportunities and aligning Alteryx solutions with their AI, automation, and cloud analytics strategies.
- Design and deliver impactful demos and proof-of-concepts (POCs) showcasing the feasibility and value of Alteryx solutions in the customer’s environment, including addressing technical objections and demonstrating how Alteryx provides competitive advantages in cloud, hybrid, and on-prem environments
- Stay ahead of industry trends, including advancements in AI, cloud-native architectures, data governance/security best practices, and how Alteryx integrates with modern cloud data warehouses and AI/ML workflows
- Remain up to date on Alteryx solutions and features, competitive products, and emerging technologies while maintaining familiarity and adherence to all company methods and procedures.
- Advise on best practices for AI-driven data automation, cloud cost optimization, and scalable analytics workflows, helping customers accelerate digital transformation.
- Work with management to drive sales and to mentor junior team members to improve their abilities, skills and knowledge of the Alteryx platform, sales engineering strategies, and client facing skills.
Qualifications:
- 8+ years of pre-sales or consultant experience in data analytics, business intelligence, or data science, preferably in the software industry. This includes at least 3 years of experience in the field.
- Knowledge of and hands-on experience with public clouds(AWS, Azure, GCP) and cloud data warehousing solutions like Snowflake and Databricks. Certifications with each are a plus. Proficiency in SQL, Python, R, Apache Spark or similar product or language are also a plus.
- Strong knowledge of data analytics, data science, ETL processes, AI/ML workflows, automation, and model deployment within cloud environments. Proficiency in using Alteryx or similar data analytics tools is highly desirable.
- Demonstrated ability to handle complex selling situations, including ability to engage with business and IT stakeholders, including data scientists, analysts, and C-level executives, to drive analytics adoption.
- Experience setting up data connectivity for both on-prem and cloud sources, including ODBC configurations for on-prem systems and OAuth/SSO-based integrations for cloud platforms.
- Ability to handle a fast-paced environment and continuously re-prioritize while maintaining a…
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