• Establish and maintain your role as the customer's primary technical advisor. Think of yourself as the CTO of the customer relationship. • Work with customers to onboard new datasources and implement custom integrations of Glean into their work environment and business application architecture • Build and provide tools, templates, and documentation for customers to leverage in integrating with Glean based on their business application stack • Identify opportunities with the customer to expand the use of Glean within their business application architecture • Provide training and guidance to customer technical resources to enable them to manage, support, and extend Glean in their environment • Align technical plans with customers and Glean Customer Success to ensure priorities between Glean and the customer are fully aligned and executed against • Assist with issue identification, troubleshooting, and remediation for your assigned customers through resolution • Work with Product Management and Engineering to drive improvements to the product helping customers expand their adoption of Glean • Be an active member of the Glean customer technical community

• Serve as the technical subject matter expert throughout the sales process • Owning and managing various pre-sales activities • Collaborate with the Sales team • Help to drive deeper & wider into the account • Understand and document customer business & technical requirements • Build strong relationships with key contacts in the partner ecosystem

Role Description As a Sr Resident Solution Architect in our professional services, you would be part of a highly specialized customer-facing AI team at Databricks. We deliver professional services engagements to help our customers build and productionize first-of-its-kind AI applications. We work cross-functionally to shape long-term strategic priorities and initiatives alongside engineering, product, and developer relations, as well as support internal subject matter expert (SME) teams. We view our team as an ensemble: we look for individuals with strong, unique specializations to improve the overall strength of the team. This team is the right fit for you if you love working with customers, teammates, and fueling your curiosity for the latest trends in GenAI, LLMOps, and ML more broadly. Open to remote locations. The impact you will have: - Develop cutting-edge GenAI solutions, incorporating the latest techniques from our Mosaic AI Research to solve customer problems. - Own production rollouts of consumer and internally facing GenAI applications. - Serve as a trusted technical advisor to customers across a variety of domains. - Collaborate cross-functionally with the product and engineering teams to influence priorities and shape the product roadmap. Qualifications - Experience building GenAI applications, including RAG, multi-agent systems, Text2SQL, fine-tuning, etc., with tools such as HuggingFace, LangChain, and DSPy. - Expertise in deploying production-grade GenAI applications, including evaluation and optimizations. - Extensive years of hands-on industry data science experience, leveraging common machine learning and data science tools, i.e. pandas, scikit-learn, PyTorch, etc. - Experience building production-grade machine learning deployments on AWS, Azure, or GCP. - Graduate degree in a quantitative discipline (Computer Science, Engineering, Statistics, Operations Research, etc.) or equivalent practical experience. - Experience communicating and/or teaching technical concepts to non-technical and technical audiences alike. - Passion for collaboration, life-long learning, and driving business value through AI. - [Preferred] Experience using the Databricks Intelligence Platform and Apache Spark™ to process large-scale distributed datasets. Benefits - At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region, please visit https://www.mybenefitsnow.com/databricks . Company Description Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn, and Facebook.

• Drive transformation such as DevOps, Continuous Integration, Delivery & Deploy, increased level of test automation • Development and maintenance of the DevOps toolchain • Produces and maintains technical specifications, user stories, and other similar artifacts • Actively shares and distributes technical information within the team • Follows new features and changes in external systems and open source components