Data & AI Presales Engineer

Presales Engineer Data & AI   

Nice to meet you! 

We’re a leader in data and AI. Through our software and services, we inspire customers around the world to transform data into intelligence - and questions into answers. 

We’re also a debt-free multi-billion-dollar organization on our path to IPO-readiness. If you're looking for a dynamic, fulfilling career coupled with flexibility and world-class employee experience, you'll find it here. 

About The Job: 

We are seeking a Presales Engineer Data & AI to join our technical software sales team, focusing on data analytics, artificial intelligence solutions, and enterprise system integrations. This role combines technical expertise with solution architecture to help customers achieve their digital transformation goals. 

This is a hybrid position that offers flexibility with a blend of in-office and home working arrangements. While we operate as a virtual team across the region, this role can be based out of any of our DACH offices in Vienna, Zurich, Heidelberg, Frankfurt, Munich, Hamburg, or Berlin. Occasional travel to client sites will be required.

Key Responsibilities

• Design cloud-native solutions incorporating AI/ML capabilities, data platforms, and enterprise systems integration for prospective customers
• Create high-level solution designs and technical architectures to demonstrate value propositions during the sales cycle
• Develop integration strategies combining open-source technologies with enterprise platforms
• Partner with sales teams to provide technical expertise during customer engagements and proof-of-concept demonstrations
• Evaluate customer requirements and propose integrated SAS software solutions integrating with both open-source and enterprise technologies
• Provide expertise on data migration strategies, security considerations, and integration patterns

Required Qualifications

• You have the natural aptitude and curiosity to forge trusted client relationships, truly understand their needs, and craft innovative solutions.
• Good understanding of major cloud platforms (AWS, Azure, GCP)

• Experienced in data platforms, AI/ML services, and analytics tools
• Strong background in open-source data science tools and frameworks (Python, R, Jupyter, Apache Spark/Kafka/Airflow, etc)
• Skilled in data technologies such as Data warehousing, lakes, ETL/ELT pipelines

• Experienced in agile methodologies and DevOps practices
• Good understanding of major cloud platforms (AWS, Azure, GCP)

• Knowledge of Container orchestration (Kubernetes, Docker)
• Knowledge of Integration - APIs, middleware, enterprise service buses
• Willingness to travel within the DACH region as needed. 
• Fluency in German and English
• You’re curious, passionate, authentic and accountable. These are our values and influence everything we do. 

Diverse and Inclusive

At SAS, it’s not about fitting into our culture – it’s about adding to it. We believe our people make the difference. Our diverse workforce brings together unique talents and inspires teams to create amazing software that reflects the diversity of our users and customers. Our commitment to diversity is a priority to our leadership, all the way up to the top; and it’s essential to who we are. To put it plainly: you are welcome here.

Additional Information:

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