Snowflake
AI Account Engineer - Activation(m/w/x)
Vollzeitnur vor OrtBerufserfahren
Berlin
Neuer Job?Nejo!
Dein persönlicher KI-Karriere-Agent
SNSnowflake
Commercial Solution Engineer(m/w/x)
Berlin
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing data architecture and analytics solutions on Snowflake for AI-native enterprises. Solution Engineering/Architect experience in SaaS or relevant industry required. Collaboration with sales teams and channel partners.
Anforderungen
- Solution Engineering/Architect experience in SaaS or relevant industry
- Outstanding presentation skills to technical/executive audiences
- Understanding of and experience with data architecture, analytics, cloud
- Hands-on SQL experience
- Ability to solve customer business problems with Snowflake solutions
- Customer-facing communication skills to technical/executive audiences
- Hands-on Python experience
- Experience with modern data technology (dbt, spark, containers, devops, git)
- Experience with data science and machine learning technology
- Ability to build connections, relationships, and trust with customers
- Love of learning
- Openness to giving and receiving feedback
- Passion for customer and team success
- Willingness to apply even if not ticking every box
Aufgaben
- Solve complex customer problems
- Collaborate with account sales team and channel partners
- Understand and support customer needs
- Strategize on customer evaluations
- Help customers choose Snowflake solutions
- Translate features into business solutions
- Present Snowflake technology to executives and technical teams
- Demonstrate Snowflake value through hands-on interactions
- Create and develop technical champions
- Stay updated on Snowflake technology and roadmap
- Maintain knowledge of competitive and complementary technologies
- Position Snowflake effectively in the market
- Learn from sales wins and losses
- Collaborate with sales engineers
- Work with Product Management, Engineering, and Marketing
- Represent Snowflake at industry events
- Build joint architectures with ecosystem partners
- Collaborate on account strategies and initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SaaS
- analytics
- data science
- data engineering
- SQL
- Python
- dbt
- spark
- containers
- devops tooling
- orchestration tools
- git
- data architecture
- data analytics
- cloud technology
- machine learning technology
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snowflake erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
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SNSnowflake
Commercial Solution Engineer(m/w/x)
Berlin
VollzeitVor OrtBerufserfahren
AI/ML
Data Science
Nejo KI-Zusammenfassung
Designing data architecture and analytics solutions on Snowflake for AI-native enterprises. Solution Engineering/Architect experience in SaaS or relevant industry required. Collaboration with sales teams and channel partners.
Anforderungen
- Solution Engineering/Architect experience in SaaS or relevant industry
- Outstanding presentation skills to technical/executive audiences
- Understanding of and experience with data architecture, analytics, cloud
- Hands-on SQL experience
- Ability to solve customer business problems with Snowflake solutions
- Customer-facing communication skills to technical/executive audiences
- Hands-on Python experience
- Experience with modern data technology (dbt, spark, containers, devops, git)
- Experience with data science and machine learning technology
- Ability to build connections, relationships, and trust with customers
- Love of learning
- Openness to giving and receiving feedback
- Passion for customer and team success
- Willingness to apply even if not ticking every box
Aufgaben
- Solve complex customer problems
- Collaborate with account sales team and channel partners
- Understand and support customer needs
- Strategize on customer evaluations
- Help customers choose Snowflake solutions
- Translate features into business solutions
- Present Snowflake technology to executives and technical teams
- Demonstrate Snowflake value through hands-on interactions
- Create and develop technical champions
- Stay updated on Snowflake technology and roadmap
- Maintain knowledge of competitive and complementary technologies
- Position Snowflake effectively in the market
- Learn from sales wins and losses
- Collaborate with sales engineers
- Work with Product Management, Engineering, and Marketing
- Represent Snowflake at industry events
- Build joint architectures with ecosystem partners
- Collaborate on account strategies and initiatives
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Abgeschlossene BerufsausbildungODER
- Bachelor-AbschlussODER
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- SaaS
- analytics
- data science
- data engineering
- SQL
- Python
- dbt
- spark
- containers
- devops tooling
- orchestration tools
- git
- data architecture
- data analytics
- cloud technology
- machine learning technology
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Snowflake erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Gefällt dir diese Stelle?
BetaDein Career Agent findet täglich ähnliche Jobs für dich.
Über das Unternehmen
Snowflake
Branche
IT
Beschreibung
The company develops a cloud data platform that combines data warehousing, big data flexibility, and cloud elasticity.
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