Logo for SIFFLET

Solutions Engineer

Roles & Responsibilities

  • 3–5 years in a Solutions Engineer, Sales Engineer, or similar technical presales role
  • Strong familiarity with the modern data stack (e.g. Snowflake, BigQuery, Redshift, dbt, Airflow, Databricks, Fivetran, Looker)
  • Proficient in SQL and comfortable with Python or similar scripting languages
  • Solid understanding of data pipelines, cloud environments (AWS/GCP/Azure), and APIs

Requirements:

  • Partner closely with Account Executives to win new business
  • Run technical evaluations and shape how prospects understand data observability
  • Own implementations for new customers, ensuring a smooth transition from sale to value realization
  • Thrive in a remote, startup environment with minimal oversight

Job description

About the job

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 (multiple) Solutions 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.

Solution Engineer Related jobs

Other jobs at SIFFLET

We help you get seen. Not ignored.

We help you get seen faster — by the right people.

🚀

Auto-Apply

We apply for you — automatically and instantly.

Save time, skip forms, and stay on top of every opportunity. Because you can't get seen if you're not in the race.

AI Match Feedback

Know your real match before you apply.

Get a detailed AI assessment of your profile against each job posting. Because getting seen starts with passing the filters.

Upgrade to Premium. Apply smarter and get noticed.

Upgrade to Premium

Join thousands of professionals who got noticed and hired faster.