Solution Engineer

Job summary
Permanent contract
Guer
Salary: Not specified
Starting date: March 01, 2025
Fully-remote
Experience: > 4 years
Education: Master's Degree
Skills & expertise
Generated content
Communication skills

Sifflet
Sifflet

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Questions and answers about the job

The position

Job description

Do you have a passion for Data and Analytics? Are you a highly successful Enterprise Sales Executive for a B2B SaaS or Modern Data software company looking for your next big opportunity? As a Solution Engineer at Sifflet, you will be helping customers build a better data culture by raising trust in their company’s data. You’ll leverage your experience in positioning the value of good quality data and how important it is to companies implementing a modern data stack in order to enable faster and improved decision making. 

In this role, you will

  • Support the prospect to identify the current pain and the future value expecting by using our data observability solution

  • Use Sifflet to demonstrate the business value articulated in the usage scenarios

  • Design and create additional Sifflet demonstrations usage oriented

  • Define evaluation plans to illustrate and validate how to apply Sifflet to deliver the expected value.

  • Work with the new customers to implement the solution during the first two months of the implementation phasis

  • Work closely with the product and engineering team to provide feedbacks about the market

  • Participate at live and/or virtual industry conferences

  • Assist our partnerships network by providing demonstrations, trainings and support

  • Technology and market intelligence to use the differentiators of our solution


Preferred experience

  • A strong technical background in Data, Analytics & Infrastructure.

  • Experience or motivation to work in a high-growth environment

  • Experience in value orientated selling of product and platform solutions.

  • 5+ years in solution engineering, data engineering or data consulting

  • Ability to communicate effectively with Decision Makers and key stakeholders.

  • Knowledge of the Modern Data Stack is a big bonus point.

  • Ability to work in a multicultural environment and adapt to client timezone constraints.


Recruitment process

meet the hiring manager

customer meeting role play

meet the team

final interview

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