Sifflet

Sifflet

Sales Engineer

United States

Sponsorship not specifiedDetected 6 days ago
PythonSQLBigQuerySnowflakeRedshiftDatabricksAWSGCPAzureCloud PlatformsAirflowdbtData EngineeringData VisualizationSalesCustomer SuccessOrganizational Skills

About the role

  • This is a unique opportunity to combine technical depth, sales influence, and ownership, while helping define how Sifflet scales in the US.

Responsibilities

  • Excited about building from scratch and being the first on the ground.
  • Highly organized and able to manage multiple deals and implementations in parallel.

Requirements

  • Strong storytelling and demo skills - you can connect technical features to business value.

Nice to have

  • 3-5 years in a Solutions Engineer, Sales Engineer, or similar technical presales role.
  • Experience in a startup or high-growth environment is a strong plus.

Skills

  • Strong familiarity with the modern data stack (e.g. Snowflake, BigQuery, Redshift, dbt, Airflow, Databricks, Fivetran, Looker, etc.).
  • Proficient in SQL and comfortable with Python or similar scripting languages.
  • Solid understanding of data pipelines, cloud environments (AWS/GCP/Azure), and APIs.
  • Sales Mindset:
  • Comfortable owning technical aspects of complex sales cycles.
  • Autonomy & Ownership:
  • Thrives in a remote, startup environment with minimal oversight.
  • Process:
  • Screening call with People & Operations Manager (30min)
  • Meet Head of Solutions Engineering & Customer Success (30-45min)
  • Team interviews: 2-3 sessions (30 minutes each) with different team members
  • Case study: Panel interview (1hour)

Compensation

  • Competitive compensation, including equity.

Benefits

  • Work with cutting-edge data technologies in a fast-growing category.
  • Competitive compensation, including equity.

Company info

  • You'll also own implementations for new customers, ensuring a smooth transition from sale to value realization.
  • Be part of our scaling phase in North America

This listing is sourced directly from Sifflet's careers page and normalized into a canonical job model.