Responsibilities:

• Design, build, and operate scalable backend services
• Develop and evolve AI-powered translation capabilities using LLMs
• Help build tooling and infrastructure for model evaluation
• Collaborate with product, applied science, frontend, and platform teams
• Take ownership of technical decisions and shape the system's architecture
• Improve service performance, reliability, and operational readiness
• Explore better ways of working, including leveraging AI tools

Requirements:

• Strong backend development skills in Python or Go
• Experience with modern AI tools
• Cloud platform experience (AWS or similar)
• Container orchestration (Kubernetes, Docker)
• Observability tools (DataDog)
• Database technologies (SQL and NoSQL)
• Pragmatic problem-solving with a growth mindset
• Comfortable working with real-world data
• Solid experience designing, building, and integrating quality software at scale

Benefits:

• Opportunity to build impactful technology
• Work with AI and LLMs in production
• Part of a global engineering organization
• Company culture emphasizing ownership, humility, and kindness

Compensation: The salary range for this position is €5,400 - €8,000 per month.

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You will:

• Drive technical and consumption strategy in partnership with Account Executives
• Influence stakeholders at all levels through complex engagements with the broader cloud ecosystem and 3rd-party applications
• Be a champion for both customers and colleagues, operating as an expert architect and trusted advisor for significant data analytics architecture, design, and adoption of the Databricks Data Intelligence platform
• Lead the most complex architecture engagements: multi-workload platforms, enterprise-wide migrations, real-time systems, and AI/ML at scale
• Contribute to Field Engineering thought leadership through customer-facing content, workshops, and community engagement
• Coach junior Solutions Architects and teams on use-case prioritisation and on building technical champions

Requirements:

• 8+ years in solutions architecture, principal engineering, technical pre-sales leadership, or a senior customer-facing technical role
• Strong AI-Builder mindset; Expert-level coding proficiency , Python, SQL, and ideally Spark/PySpark
• Proven track record of driving consumption growth and platform adoption with customers
• Strong technical architecture skills with deep expertise in enterprise data technologies
• Expert-level cloud platform knowledge (Databricks, AWS, Azure, GCP or equivalent depth in competing modern data platforms)
• Declared technical specialisation with recognised depth
• Executive presence and strong strategic thinking
• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

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As an Account Executive, you will sell innovation and value to existing customers, identify new use cases, and grow consumption. You will guide deals forward to compress decision cycles, understand a product in depth, and communicate its value to customers and partners.

The impact you will have:

• Co-develop a business plan with your team and ecosystem partners to accelerate customer success
• Lead customers and partners to identify impactful data and AI use cases
• Implement data and AI transformation goals through strategic partnerships, professional services, training, and Executive engagement
• Develop an understanding of technical product details and roadmap to build trust with executives and technical champions

What we look for:

• Extensive experience selling complex solutions to Enterprise Customers
• Experience managing and leading complex, federated sales campaigns in major accounts
• Experience working in Data, Cloud industries with some technical sales experience
• Proof of exceeding sales quotas in high-growth Enterprise software companies
• Experience driving consumption and commit-based engagement models
• Experience co-selling and scaling your business with Cloud Vendors and Global Solution Integrators
• Experience building effective champions, collaborative teams, and partnerships
• Understanding of how to identify key use cases and buying centres
• Experience following robust sales methodologies and processes
• Bachelor's Degree or relevant work experience
• Fluency in English

Benefits: At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees.

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