Databricks

Lead and scale a customer-facing AI Forward Deployed Engineering (AI FDE) team at Databricks, focusing on building and productionizing GenAI applications. This role involves leading customer AI/ML transformations, managing key accounts, hiring and mentoring data scientists/ML engineers, and collaborating with Product, Research, and Engineering teams to influence the product roadmap.

Staff Software Engineer focused on building new, 0-to-1 generative AI products and interfaces for GenAI agents that manage complex workflows, leveraging Databricks' data and AI platform. The role involves full-stack development, leading best practices, and collaborating across teams to deliver intuitive, scalable, and extensible AI solutions for both technical and business users.

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.

Databricks is seeking a Sr. Manager for their AI Forward Deployed Engineering (AI FDE) team. This customer-facing role involves leading professional services engagements to help customers build and productionize GenAI applications using Databricks. The manager will lead and scale the AI FDE team in India, recruit engineers, develop executive customer relationships, and drive strategic AI PS initiatives. The role requires deep technical expertise in ML/GenAI and experience managing high-performing AI/ML teams in cloud environments.

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.

Databricks is seeking ML Engineers to enhance their AI/ML-powered Search product. The role involves developing and deploying ML-based search and discovery relevance models, designing ML/NLP pipelines for query understanding and ranking, and contributing to evaluation frameworks. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers for their Applied AI team to enhance search quality for their platform. The role involves developing and deploying ML-based search and discovery relevance models, building automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation, and contributing to a robust framework for evaluating search ranking improvements. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required.

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 for an AI Solutions Architect in a pre-sales capacity, focusing on strategic accounts. The primary responsibility is to demonstrate how Databricks' Data Intelligence Platform can solve complex customer data challenges, acting as a trusted advisor to executives and driving adoption of AI solutions. The role requires strong technical expertise in AI toolings and the broader data landscape, with a focus on delivering measurable business outcomes.

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.

Senior Solutions Architect at Databricks, focusing on establishing the Databricks Data & AI platform for strategic new engagements in the Nordics. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on data engineering, data warehousing, and GenAI expertise.

This role leads a team of Solutions Architects focused on the Financial Services segment within Databricks' Regulated Industries Field Engineering team. The primary goal is to drive revenue and customer success by leveraging Databricks' Data Intelligence Platform, which includes data, analytics, and AI capabilities. The role involves hiring, training, and growing the team, ensuring they have advanced knowledge of Databricks technologies, and fostering strong cross-functional relationships.

Databricks is seeking a Sr. Forward Deployed Engineer to embed with strategic customers, design, build, and productionize fullstack data and AI solutions on the Databricks platform. This role involves owning architecture, leading design decisions, and implementing end-to-end systems from data ingestion to ML/AI model integration and user-facing applications. The ideal candidate has strong software engineering skills, experience with AI APIs and code generation tools, and a proven track record of delivering measurable outcomes in enterprise environments.

This role is a Delivery Solutions Architect at Databricks, focused on empowering customers to solve data problems using the Databricks Data Intelligence Platform. The architect acts as a trusted technical advisor, guiding customers in designing, implementing, and scaling data and AI solutions. It's a hybrid technical and commercial role involving architecture reviews, performance optimization, customer enablement, and driving customer growth. While not hands-on coding, strong architectural skills in Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential, with at least 5 years of experience in delivering Data, Analytics, or AI projects.

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.

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.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

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.