Dein persönlicher KI-Karriere-Agent
Solutions Engineer(m/w/x)
Implementing dlt in customer systems and guiding platform onboarding for AI-native data tooling. Technical customer-facing and data engineering experience required. Annual learning budget, no meeting days.
Anforderungen
- Based in Berlin, willing to work in office regularly
- Experience in technical customer facing role
- Experience in Data Engineering role
- Quick learner, eager to explore new technologies
- Working knowledge of Python and data landscape solutions
- Experience teaching & communicating technical material
- Prior experience with dlt’s ecosystem
Aufgaben
- Implement and deploy dlt in customer systems
- Guide onboarding for dltHub platform
- Support paid offering onboarding
- Manage the full customer lifecycle
- Collaborate with CEO to support sales
- Build demos for sales process
- Gather customer feedback
- Address customer challenges with product team
- Address customer feature requests with product team
- Manage customer-facing documentation
- Manage customer-facing presentations
- Manage customer-facing website content
- Manage customer training materials
- Run training sessions with customers
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Iceberg
- dbt
- Snowflake
- Databricks
- DuckDB
- Postgres
- MSSQL
- Oracle
- Airflow
- Dagster
Benefits
Flexibles Arbeiten
- Work from home
Öffi Tickets
- Public transportation ticket coverage
Weiterbildungsangebote
- Annual learning and development budget
Gratis oder Vergünstigte Mahlzeiten
- Subsidized team lunches
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Attraktive Vergütung
- ESOP plan
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Solutions Engineer(m/w/x)
Implementing dlt in customer systems and guiding platform onboarding for AI-native data tooling. Technical customer-facing and data engineering experience required. Annual learning budget, no meeting days.
Anforderungen
- Based in Berlin, willing to work in office regularly
- Experience in technical customer facing role
- Experience in Data Engineering role
- Quick learner, eager to explore new technologies
- Working knowledge of Python and data landscape solutions
- Experience teaching & communicating technical material
- Prior experience with dlt’s ecosystem
Aufgaben
- Implement and deploy dlt in customer systems
- Guide onboarding for dltHub platform
- Support paid offering onboarding
- Manage the full customer lifecycle
- Collaborate with CEO to support sales
- Build demos for sales process
- Gather customer feedback
- Address customer challenges with product team
- Address customer feature requests with product team
- Manage customer-facing documentation
- Manage customer-facing presentations
- Manage customer-facing website content
- Manage customer training materials
- Run training sessions with customers
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- Iceberg
- dbt
- Snowflake
- Databricks
- DuckDB
- Postgres
- MSSQL
- Oracle
- Airflow
- Dagster
Benefits
Flexibles Arbeiten
- Work from home
Öffi Tickets
- Public transportation ticket coverage
Weiterbildungsangebote
- Annual learning and development budget
Gratis oder Vergünstigte Mahlzeiten
- Subsidized team lunches
Gesundheits- & Fitnessangebote
- Urban Sports Club membership
Attraktive Vergütung
- ESOP plan
Über das Unternehmen
dltHub
Branche
IT
Beschreibung
dltHub builds AI-native data tooling on an open-source foundation, focusing on fast iteration, experimentation, and user-centric AI workflows.
Noch nicht perfekt?
- dltHub
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