Solutions Engineer (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Solutions Engineer (AI): Partnering with customers to solve real-world data challenges by combining technical expertise with business context to demonstrate what’s possible on the Data Intelligence Platform with an accent on data engineering, analytics, and AI/GenAI. Focus on shaping customer architectures and driving lakehouse and Lakebase adoption.
Location: Munich, Germany
Company
unifies data, analytics, and AI on one platform, simplifying how teams work with data and accelerating innovation for over 10,000 organizations worldwide.
What you will do
- Help customers realize the value of the Data Intelligence Platform as a trusted technical partner to account teams.
- Progress through FE Launchpad from structured learning and shadowing to independently leading customer engagements.
- Build demos and prototypes across data engineering, analytics, and AI/GenAI to solve real customer problems.
- Partner with Account Executives, Solutions Architects, and cross-functional teams to shape customer architectures and drive lakehouse and Lakebase adoption.
- Grow through certifications, bootcamps, and mentorship, and share your learning with your cohort and the broader FE community.
Requirements
- Professional proficiency in English and German (written and spoken) to support customer engagements in the region.
- Early-career professionals with ~2 years of experience in data engineering, software engineering, AI/ML, or a related field who are interested in customer-facing technical roles.
- A strong technical foundation (STEM degree or equivalent experience) and curiosity about modern data architectures, AI applications, and real-time analytics.
- Interest in working with customers; running discovery, understanding challenges, and explaining technical concepts clearly to both technical and business audiences.
- Clear communication skills, strong collaboration, and a growth mindset suited to a cohort-based learning environment.
- Foundational familiarity with cloud platforms such as AWS, Azure, or GCP.
Nice to have
- Exposure to or cloud certifications
Culture & Benefits
- Comprehensive benefits and perks to meet the needs of all employees.
- Fostering a diverse and inclusive culture where everyone can excel.
- Hiring practices are inclusive and meet equal employment opportunity standards.
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