Sales Engineer

Reposted 16 Days Ago
Hiring Remotely in United States
Remote
Mid level
Artificial Intelligence • Big Data • Software • Big Data Analytics
The Role
Presales-heavy Solutions Engineer partnering with Account Executives to run technical evaluations, demos, and win deals (~80% presales). Own new-customer implementations, ensure smooth handoffs, and scale Sifflet's North American presence by combining technical depth, sales influence, and autonomous ownership.
Summary Generated by Built In

About Sifflet

Sifflet is a leading data observability platform helping modern data teams trust their data and move faster. We enable organizations to monitor data quality, reliability, and lineage across the modern data stack empowering data engineers, analysts, and business teams to make better decisions with confidence.

We’re a fast-growing, international company expanding our presence in North America and this is an opportunity to be on the ground floor of that growth.

The Role We’re hiring Sales Engineer in the US - a highly autonomous, sales-oriented technical expert who will play a critical role in building our North American business.

This is a presales-heavy role (~80%), where you’ll partner closely with Account Executives to win new business, run technical evaluations, and shape how prospects understand data observability.

You’ll also own implementations for new customers, ensuring a smooth transition from sale to value realization.

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

  • 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.

Technical 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.

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

  • Ability to navigate ambiguity and drive deals forward proactively.

Autonomy & Ownership:

  • Thrives in a remote, startup environment with minimal oversight.

  • Excited about building from scratch and being the first on the ground.

  • Highly organized and able to manage multiple deals and implementations in parallel.

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)

  • Offer !

Why Join Sifflet

  • Be part of our scaling phase in North America

  • High-impact role with direct influence on revenue and product direction.

  • Work with cutting-edge data technologies in a fast-growing category.

  • Competitive compensation, including equity.

Skills Required

  • 3-5 years in a Solutions Engineer, Sales Engineer, or similar technical presales role
  • Experience in a startup or high-growth environment
  • Familiarity with modern data stack (Snowflake, BigQuery, Redshift, dbt, Airflow, Databricks, Fivetran, Looker)
  • Proficient in SQL
  • Comfortable with Python or similar scripting languages
  • Solid understanding of data pipelines, cloud environments (AWS/GCP/Azure), and APIs
  • Experience owning technical aspects of complex sales cycles, demos, and storytelling
  • Ability to manage multiple deals and implementations autonomously in a remote startup environment
Am I A Good Fit?
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The Company
42 Employees

What We Do

Sifflet is a cloud-native data observability platform that gives data teams end-to-end oversight of their data stack. It detects anomalies, diagnoses root causes, and ties technical issues to business impact so teams can trust data used for dashboards, models, and decisions. Sifflet’s tooling aims to reduce data breaks, improve alignment, and make data reliable for AI and business use.

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