Staff Software Engineer focused on building and operating high-scale, low-latency inference systems for foundational AI models (LLMs) at Databricks. The role involves designing and implementing core systems and APIs for model serving, optimizing performance on GPU workloads, and influencing architectural direction for the Foundation Model Serving product.

Lead the engineering team responsible for Databricks' Model Serving product, focusing on both customer-facing capabilities and foundational infrastructure for scalable, low-latency AI/ML model inference.

Databricks is seeking a Senior Software Engineer to join their Model Serving product team. This role focuses on designing and building scalable, low-latency inference systems for AI/ML models (traditional ML to LLMs) on CPU and GPU. Responsibilities include optimizing performance, throughput, autoscaling, and operational efficiency, as well as contributing to core serving infrastructure components like routing, caching, and observability. The role requires strong experience in large-scale distributed systems and model serving infrastructure.

Databricks is seeking a Staff Software Engineer to work on their Model Serving product, which is a core pillar of their platform for enterprises to deploy and manage AI/ML models. The role involves designing and building systems for high-throughput, low-latency inference across CPU and GPU workloads, influencing architectural direction, and collaborating with various teams to deliver a world-class serving platform.

Staff Data Scientist focused on Trust and Safety at Databricks, developing and implementing ML models for fraud and abuse detection, analyzing security features, and collaborating with engineering and security teams to protect the platform and customers. The role involves creating compliance solutions, gathering requirements, and guiding junior team members.

Product Manager to define and drive the vision for Databricks' enterprise AI offerings, focusing on generative AI, agents, and new workloads. The role involves partnering with engineering and research to turn AI advancements into practical products, engaging with customers to uncover use cases, and shaping the long-term strategy for Databricks AI.

Product Manager for Databricks AI, focusing on defining and driving the vision for enterprise AI, generative AI, and agents. The role involves partnering with engineering and research to turn AI advancements into practical tools, uncovering new use cases, and building products for scale and longevity. Requires strong technical background in AI/ML and experience with enterprise SaaS or developer platforms.

Databricks is seeking a Staff Software Engineer to work on their AI-powered Assistant, focusing on customer engagement and documentation platform. The role involves leveraging ML and LLMs to analyze technical use cases, identify problems, and provide solutions or facilitate escalation. Key responsibilities include leading the design, development, and deployment of systems for evaluation, answer retrieval, and quality improvement, as well as driving engineering best practices and contributing to technical planning.

Role focuses on architecting and guiding customers in building production-grade ML & AI applications, with a strong emphasis on GenAI solutions like RAG and agentic systems, and MLOps. The role involves deep technical expertise in end-to-end ML pipelines, training/inference optimization, and integrating with cloud services, serving as a trusted technical expert for customers and internal teams.

Senior Engineering Manager for Search at Databricks, responsible for building and scaling next-generation Search products including Vector Search, Keyword Search, and Search Quality. The role involves leading a team to design, build, and operate cloud-native Search services, drive innovation in search capabilities, and partner with product and research teams on roadmap definition. The position also includes managing large-scale services, mentoring engineers, and shaping the long-term strategy for Search as a core enabler for AI and data applications.

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.

Staff Backline Engineer role at Databricks focused on deep-dive troubleshooting, root cause analysis, and architectural optimization within the Databricks Data and AI ecosystem. The role involves developing automated workflows and AI-driven diagnostic tools to improve supportability and scale the organization. Requires expertise in either Data Engineering, Product Supportability, or the AI track (ML/GenAI systems, LLMs, agentic workflows).

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, focusing on the Public Sector (SLED) in Texas. This role involves leading the adoption of the Databricks Unified Analytics Platform, partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts for data science and ML projects, and building reference architectures. The role requires expertise in cloud platforms, data engineering, data analytics, and data science/ML, utilizing open-source projects like Spark, MLflow, and Delta Lake. It is a customer-facing role requiring travel and building customer relationships.

This role focuses on designing and launching new learning experiences for Databricks users, leveraging an AI-first mindset and data-driven approaches to scale impact and drive adoption of Databricks' platform, particularly within their Free Edition. The role involves end-to-end program management, stakeholder engagement, and defining learning initiatives for technical audiences.

Lead a team of Specialist Solutions Architects focused on enterprise software, data engineering, and data science/machine learning within Databricks, driving customer success and platform adoption.

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.

Sr. Solutions Engineer for Databricks Unified Analytics Platform, focusing on Public Sector clients. Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, implementing POCs for data science and ML projects, and building reference architectures. Requires experience in distributed data systems, programming, public cloud, and expertise in Data Engineering, Data Warehousing, or Data Science/ML.

Seeking an experienced Resident Solutions Architect to work with strategic customers on data and AI transformation initiatives using the Databricks platform. The role involves serving as a trusted technical advisor and hands-on expert to solve complex big data challenges, with a focus on guiding customers in their AI initiatives.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks platform within manufacturing customers. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding them through onboarding, enablement, and healthy consumption of Databricks workloads. Responsibilities include technical account strategy, issue resolution, and coordinating with various internal teams to maximize customer value and ROI.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks platform within manufacturing customers. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding them through onboarding, enablement, and healthy consumption of Databricks workloads. Responsibilities include technical account strategy, issue resolution, and coordinating with various internal teams to maximize customer value and ROI.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks platform, particularly in manufacturing. The Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. While the role involves working with Data and AI, its core function is customer-facing technical account management and solution architecture, rather than direct AI/ML model development or research.

Solutions Architect at Databricks focused on Financial Services (Insurance), leading the growth of the Databricks Data Intelligence Platform. This customer-facing role involves partnering with sales, providing technical leadership, consulting on big data architecture, executing proofs of concept, building reference architectures, and promoting open-source projects like Spark, Delta Lake, and MLflow. Requires experience in pre-sales or consulting with big data technologies, distributed data systems, and public cloud providers.

This role is for a Sr. Manager, Field Engineering (Specialist) at Databricks, focusing on expanding the Databricks lakehouse within the Retail, Consumer Goods & Travel/Hospitality GTM vertical. The manager will lead a team of Specialist Solutions Architects (SSAs), focusing on enterprise software, big data/analytics, data engineering, and data science. The role involves a mix of pre-sales (70%) and post-sales (30%) activities, partnering with sales to drive revenue and customer success. Key responsibilities include growing and maintaining the SSA team, managing hiring pipelines, crushing sales targets by building technical points of view, establishing the lakehouse architecture, identifying use cases, validating consumption demand, and acting as trusted advisors. The role also emphasizes driving customer success, establishing executive alignment, and fostering positive team morale and work-life balance.

This role is a post-sale technical lead for Databricks customers, focusing on accelerating the adoption and maximizing the value of the Databricks Data Intelligence Platform. It involves a hybrid technical and commercial approach, collaborating with sales and field engineering teams, managing customer relationships, and ensuring successful implementation and consumption of Databricks products, including AI/ML workloads.

This role is a "product manager for the field" within Databricks' Forward Deployed Engineering (FDE) team. The Deployment Strategist (DS) acts as a bridge between customer business problems and Databricks' technical solutions, focusing on winning high-value AI opportunities. The DS is responsible for the non-technical lifecycle of an FDE engagement, including C-suite discovery, value scoping, defining Minimum Viable Products, writing PRDs, managing projects, and driving solutions to adoption. The role requires C-suite gravitas, product thinking, and execution skills, partnering with Sales and FDE Engineers to deliver outcomes.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

Solutions Engineer role at Databricks focused on empowering customers with the Databricks Data Intelligence Platform. The role involves building relationships, acting as a technical advisor, creating working prototypes and demos, and scaling best practices through reference architectures and workshops. It emphasizes a builder-first approach and leveraging AI tools for productivity.

Solutions Engineer role at Databricks focused on empowering customers with the Databricks Data Intelligence Platform. The role involves building relationships, acting as a technical advisor, creating working prototypes and demos, and scaling best practices through documentation and workshops. It emphasizes a builder-first approach and leveraging AI tools for productivity.

Solutions Architect role at Databricks focused on advising clients on the Databricks Lakehouse Platform for data engineering, data science, and machine learning. Responsibilities include technical leadership, developing architectures, implementing proof of concepts, and collaborating with sales and product teams. Requires experience with Big Data technologies, cloud platforms, and coding in Python/Spark.

Databricks is seeking a Senior Solutions Engineer for their Healthcare & Life Sciences team in Amsterdam. The role involves demonstrating the Databricks Data Intelligence Platform to clients, building client relationships, and contributing to the technical community. The position requires technical expertise in Big Data Analytics, AI, AI Agents, and public cloud platforms, with proficiency in a core programming language like Python. The role focuses on pre-sales activities and developing solutions for clients.

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.

Solutions Architect (Pre-sales) role at Databricks, focusing on demonstrating the Data Intelligence Platform's capabilities to customers in the Benelux region. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on customer interactions and solution architecture design across data engineering, data warehousing, and GenAI.

This role focuses on Go-To-Market (GTM) strategies for Databricks' strategic AI partnerships, including alliances with Anthropic, OpenAI, and Google Gemini. The Sr. Alliance Director will set GTM strategy, manage co-sell investment programs, build relationships between Databricks and AI partners, and drive business outcomes. The role requires GTM fluency, Generative AI domain expertise, and established relationships within major AI labs and cloud providers.

Manager, Field Engineering to lead a team of Solutions Architects in Latam, focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI. The role involves partnering with Sales to increase revenue and customer success, scaling the team, and ensuring they stay technically advanced.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to build executive relationships.

Sr. Solutions Engineer at Databricks to partner with customers, design data architectures using Databricks technology, and drive technical discussions throughout the sales lifecycle. Responsibilities include developing account strategies, building reference architectures, capturing technical wins by consulting on data engineering and ML projects, and promoting open-source projects.

Executive Assistant role supporting a COO in a fast-paced tech environment, with a focus on operationalizing initiatives, managing complex schedules, and leveraging AI tools for administrative efficiency, travel planning, and data synthesis.