Senior Software Engineer to build new AI products from the ground up in a 0-to-1 environment, focusing on GenAI agents and user interfaces. The role involves full-stack development and establishing best practices for AI products.

This role leads the global go-to-market strategy for Databricks' Data and AI platforms, targeting high-growth digital native companies. The leader will act as a technical authority, engaging with CTOs and Engineering leaders, driving revenue growth, and influencing the product roadmap. Key responsibilities include scaling GTM motions, strategic sales partnerships, technical advisory, and thought leadership. Requires deep experience in the Data/AI landscape, hands-on AI system building, and strong program management skills.

Senior Engineering Manager for Customer Experience Intelligence (CXI) at Databricks, leading a team to build AI-driven systems for customer and support experiences. The role focuses on improving customer interactions through AI and automation, driving business outcomes like deflection and resolution speed, and integrating AI with human expertise.

Staff Product Manager for Databricks' AI Platform, focusing on driving the vision and roadmap for AI/ML infrastructure products that enable enterprises to build, train, deploy, and monitor AI systems. The role involves deep technical collaboration with engineering, customer engagement, and commercialization strategy for AI platform features, aiming to make it easier for enterprises to put AI into production.

Staff Software Engineer for Search Quality at Databricks, focusing on driving technical direction for ranking, relevance, evaluation, and quality initiatives for Databricks' next-generation Search product. The role involves designing and building systems, models, and evaluation frameworks for multimodal datasets and query patterns, pushing the frontier of retrieval quality for enterprise AI applications, and mentoring engineers.

Solutions Architect for Databricks in the retail sector, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves developing technical strategies, building customer champions, and acting as a trusted advisor for data analytics architecture and the Databricks Data Intelligence Platform.

This role is a Sr. Delivery Solutions Architect focused on AI-native customers using the Databricks platform. It's a hybrid technical and commercial role responsible for post-sale technical strategy, execution, and driving customer success and adoption of Databricks workloads. The architect acts as the technical lead, resolving issues, coordinating resources, and developing execution plans to accelerate use cases into production.

Solutions Architect for Databricks' Digital Natives team, focusing on data engineering, data science, and ML. The role involves collaborating with strategic customers and internal teams to design and implement solutions using the Databricks platform, guiding customers through competitive landscapes and best practices, and driving technical discovery to accelerate time-to-value. The role emphasizes building distributed data systems, programming in Python and SQL, and expertise with public cloud providers.

Sr. Staff Software Engineer on the Money team at Databricks, focused on building and managing billing, usage, pricing, and cost optimization systems. The role involves leveraging Databricks' Data + AI platform and using AI/LLMs for cost insights and optimization.

Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space.

Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space.

Senior Software Engineer on the Money team at Databricks, focusing on billing, usage ingestion, metering, pricing, and cost optimization. The role involves using Databricks Data + AI tools, including AI and LLMs, to innovate in cost insights and optimization, and to commercialize Databricks products.

Databricks is seeking a Staff Software Engineer for their Money Team to work on billing, usage data, and cost optimization tools. The role involves designing and managing systems for commercializing Databricks products, developing pricing strategies, and enhancing engineering efficiency. A key aspect is using AI and LLMs for cost insights and optimization, leveraging the Databricks Data + AI platform.

Solutions Architect role at Databricks focused on leading customer adoption of the Databricks Unified Analytics Platform, including data engineering, data analytics, data science, and machine learning solutions. Responsibilities include identifying use cases, developing architectures, guiding implementations, and partnering with sales.

Databricks is seeking a Staff Data Scientist to help build a data-driven culture and solve product/business challenges using their Data Intelligence Platform. The role involves shaping data science areas like segmentation and recommendation systems, working with cross-functional teams, and building self-serving internal data products. Requires 7+ years of experience in data science/ML, product data science, and proficiency in tools like Spark, Python, and SQL.