Sales Engineer

As a Sales Engineer your role will be:

• Join sales calls and product demonstrations to explain the platform’s methodology and analytical approach to help overcome technical objections

• Answer technical and methodological questions from prospects during the sales process.

• Help prospects understand how INCRMNTAL differs from traditional attribution, MMM, or experimentation approaches.

• Support the sales team in moving deals forward by building trust in the platform’s measurement framework.

• Deliver clear and engaging product demonstrations tailored to different audiences (CMOs, growth teams, data scientists, analysts).

• Translate complex modeling concepts into intuitive explanations that marketers can understand.

• Customize demo narratives based on the prospect’s marketing stack and challenges.

• Support proof-of-concept discussions and pilot programs

• Explain the underlying modeling logic and how the system measures incrementality.

• Walk prospects through validation methods, case studies, and experimental comparisons used by customers.

• Help prospects interpret platform outputs and understand how to operationalize insights.

• Work closely with product and data science teams to stay current on platform capabilities.

You will also participate in important decisions around the product, our strategy as well as have the opportunity to choose the areas you work on based on what you want or like to do the most.
We believe in helping each other get most of ourselves rather than do what we’re not interested in doing.

Key Requirements:

• 4+ years in a Sales Engineer, Solutions Consultant, Data Consultant, or Marketing Analytics role.

• Experience working with marketing data, attribution models, MMM, or growth analytics is a major advantage.

• Experience presenting technical concepts to non-technical audiences.

• Strong analytical thinking and ability to understand statistical models.

• Excellent communication and storytelling skills.

• Ability to translate complex ideas into simple explanations.

• Comfortable presenting to senior marketing leaders.

• Familiarity with marketing measurement methodologies such as:

  • Incrementality testing

  • Marketing Mix Modeling

  • Attribution models

• Experience with tools such as SQL, Python, or analytics platforms.