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Solutions Engineer
Skills
Cloud ComputingAmazon Web ServicesBusinessComplex SalesDealsEngineeringGoogle Cloud Platform
What the job involves
The main requirements, responsibilities and hiring steps.
Requirements
- 3–5 years in a Solutions Engineer Sales Engineer or similar technical presales role
- Strong familiarity with the modern data stack including Snowflake BigQuery Redshift dbt Airflow Databricks Fivetran and Looker
- Proficient in SQL and comfortable with Python or similar scripting languages
- Solid understanding of data pipelines cloud environments AWS GCP Azure and APIs
- Ability to own technical aspects of complex sales cycles and drive deals forward proactively
- Strong storytelling and demo skills with the ability to connect technical features to business value
- Thrives in a remote startup environment with minimal oversight
- Highly organized and able to manage multiple deals and implementations in parallel
Nice to have
- startup experience
- high autonomy
- strong storyteller
- organized
- proactive
- sales oriented
Day to day
- Partner closely with Account Executives to support complex, technical sales cycles and win new business.
- Run technical evaluations and deliver compelling demos that translate product capabilities into business value.
- Own implementations for new customers and ensure a smooth handoff from sale to value realization.
- Help define how Sifflet scales in the US while working autonomously in a fast-growing, remote environment.
Hiring process
- Screening call with People & Operations Manager (30min)
- Meet Head of Solutions Engineering & Customer Success (30-45min)
- 2–3 team interviews (30 minutes each)
- Case study panel interview (1hour)
- Culture fit interview (30min)
- Offer