Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).
| Title | Stage | AI score |
|---|---|---|
| Data & AI Platform Architect (Professional Services) This role is for a Data & AI Platform Architect within Databricks' Professional Services team. The primary focus is on customer engagements to help them leverage the Databricks platform for big data and AI initiatives. Responsibilities include designing and building reference architectures, productionalizing use cases, and providing technical consulting for data engineering, data science, and cloud projects. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on successful customer adoption and project delivery. | Data | 5 |
| Solutions Architect Solutions Architect role focused on driving technical sales cycles for Databricks' Data & AI platform. The role involves understanding customer challenges, demonstrating the platform's capabilities, building proof-of-concepts, and translating business requirements into practical, scalable data and AI solutions. It sits within the sales organization and requires a blend of customer engagement and hands-on technical expertise. |
| Ship |
| 5 |
| Enterprise Hunter Account Executive, Nordics Enterprise Hunter Account Executive for Databricks in the Nordics, responsible for driving strategic growth and expanding the company's footprint across enterprise accounts. The role involves assessing accounts, building a customer base, identifying and closing new logo opportunities, and leading customers to identify impactful big data and AI use cases on the Databricks Lakehouse platform. | — | 0 |
| Director, Enterprise Sales Enterprise Sales Director for Databricks in Denmark and Norway, leading a team of Account Executives to achieve sales quotas and grow Databricks consumption. The role involves team leadership, strategic planning, forecasting, and building customer relationships within the Data, AI, Cloud, or SaaS industry. | — | 0 |
| Named Enterprise Account Executive Databricks is seeking an Enterprise Account Executive in Denmark to drive sales of their Data and AI platform. The role involves developing business plans, identifying use cases, implementing data and AI transformations, and building relationships with customers and partners. The ideal candidate has extensive experience selling complex solutions to enterprise clients, particularly in the data and cloud industries, with a proven track record of exceeding sales quotas. | — | 0 |
| Pre-sales Manager, Field Engineering - Named Accounts This role is a pre-sales manager for Databricks' named accounts in Denmark. The manager will lead a team of technical pre-sales Solutions Architects and Solutions Engineers, focusing on designing value-focused solutions and supporting sales growth. The role involves coaching the team, communicating complex ideas, building customer relationships, and collaborating with various internal teams. While the role is within a data and AI company and involves discussing AI technologies with customers, the core responsibilities are leadership, sales support, and team management, not direct AI/ML development or research. | — | 0 |
| Senior Solutions Engineer Databricks is seeking a Senior Solutions Engineer to join their team in Aarhus, Denmark. This role involves building relationships with clients, demonstrating the Databricks Data Intelligence Platform, and providing technical and business value. The engineer will also contribute to the technical community and develop into a Solutions Architect. The position requires coding skills in Python or SQL, knowledge in Big Data Analytics, and familiarity with major public cloud platforms. | — | 0 |
| Senior Solutions Engineer Databricks is seeking a Senior Solutions Engineer to join their team in Aarhus, Denmark. The role involves building client relationships, demonstrating the Databricks Data Intelligence Platform, and contributing to the technical community. Responsibilities include hands-on evaluation, Spark programming, authoring reference architectures, and developing pre-sales skills to become a Solutions Architect. The ideal candidate will have experience working with clients, delivering technical propositions, identifying pain points, coding in Python, and knowledge in Big Data Analytics and a major public cloud platform. | — | 0 |
| Software Engineer - Backend Software Engineer - Backend at Databricks, focusing on building and scaling the company's data and AI infrastructure platform. The role involves developing foundational infrastructure, cloud-agnostic abstractions, and tools to enhance engineering efficiency, particularly optimizing the Rust development experience. | — | 0 |
| Staff Software Engineer - Backend Software engineer with a backend focus to build infrastructure for the Databricks platform at scale, supporting core compute fabric resource management, service platforms, and machine learning infrastructure. Responsibilities include building foundational infrastructure, implementing cloud-agnostic abstractions, and developing tools to enhance engineering efficiency, with a current focus on optimizing the Rust development experience. | — | 0 |
| Sr. Software Engineer - Backend Software engineer focused on building backend infrastructure for the Databricks platform, including core compute fabric resource management, service platforms, and machine learning infrastructure. Responsibilities involve creating scalable, cloud-agnostic systems, enhancing developer efficiency, and optimizing development experiences. | — | 0 |