Databricks currently has 122 active AI-related job listings. The majority of these roles are focused on agents, accounting for 37% of the total, followed by serving infrastructure at 25% and application at 24%. Engineering is the dominant function, with 106 listings. The company is primarily hiring in the United States, with 80 roles, and India, with 12 roles. Frequent technology tags include model serving, agent orchestration, and inference infrastructure. In the last 30 days, Databricks has posted 25 new AI roles, representing a 39% increase compared to the previous 30-day period.
Databricks currently has 131 active AI-related roles in our index. The most common open titles are: AI Engineer - FDE (Forward Deployed Engineer) (10), Resident Solutions Architect - Financial Services (8), Senior Solutions Architect - Lakewatch (5), Staff Backend Software Engineer- (AI Platform) (4), Data & AI Platform Architect (Professional Services) (3). Most positions are in Engineering and Product.
Databricks's active AI hiring is concentrated in: agents (39%), serving infrastructure (24%), application (23%). These categories follow a seven-stage AI lifecycle: data, pre-training, post-training, serving infrastructure, agents, evaluation, and application.
Databricks is hiring AI talent in: United States (83 roles), India (12 roles), United Kingdom (8 roles), Germany (5 roles).
Job postings at Databricks most frequently reference: model serving, agent orchestration, rag, inference infra, llm observability.
In the past 30 days, Databricks has posted 30 new AI-related roles.
Currently tracking 70 active AI roles, with 152 new openings in the last 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $219k).
| Title | Stage | AI score |
|---|---|---|
| Digital Native Go-to-Market (GTM) Leader 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. | Ship | 7 |
| Staff Product Manager, AI Platform 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. |
| ShipServe |
| 7 |
| Staff Product Manager, AI Platform Staff Product Manager for Databricks' AI Platform, focusing on the infrastructure that powers machine learning and AI at scale. The role drives the vision and roadmap for AI platform product areas, enabling enterprises to build, train, deploy, and monitor AI/ML systems. It involves deep technical collaboration, customer engagement, and commercialization strategy for AI platform features. | ServeAgent | 7 |
| Sr. Product Manager, Databricks AI 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. | Agent | 7 |
| Sr. Product Manager, 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. | Agent | 7 |
| Solutions Architect, Strategic Retail - Central 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. | Ship | 5 |
| Deployment Strategist 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. | — | 5 |
| Sr Staff Product Operations Manager This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data. | — | 5 |
| Sr Staff Product Operations Manager This role is for a Senior Staff Product Operations Manager at Databricks, focusing on architecting the internal operational ecosystem for their Data and AI infrastructure platform. The role involves defining strategic engagement models, analyzing investments, synthesizing data into business insights, and leading the evolution of the product development lifecycle. It requires strong analytical skills, experience in scaling operations, and the ability to translate technical concepts into business strategies. The role supports AI assistant improvements and works with AI platform data. | — | 5 |
| Product Marketing Director, Lakewatch Product Marketing Director for Databricks' new native application, Lakewatch, an agentic SIEM for cybersecurity, governance, and risk teams. The role focuses on defining and executing the go-to-market strategy, driving adoption, establishing market leadership, and improving sales effectiveness. | — | 5 |
| Industry Lead Solutions Architect - Financial Services This role is for an Industry Lead Solutions Architect in Financial Services at Databricks. The primary focus is on defining and executing industry strategy, creating domain-specific assets, driving joint GTM strategy with partners, and engaging with customers to advise on how Databricks solves their challenges. The role involves guiding customers through the use case lifecycle and enabling field teams and partners. While Databricks is an AI company and the role involves positioning Databricks' capabilities, the core function is not building or directly shipping AI/ML models but rather enabling the go-to-market strategy and customer adoption of existing solutions, including AI-powered ones. | — | 5 |
| Chief of Staff, to the CPO Chief of Staff to the CPO at Databricks, focusing on operational excellence and strategic alignment within the People organization. This role will support the transformation of the People organization into an AI-first function, identifying opportunities to leverage AI for automation, insights, and improved decision-making. | — | 5 |
| Product Marketing Director, AI Product Marketing Director for Databricks AI, focusing on Agent Bricks and core ML products. Responsibilities include leading marketing strategy, driving AI adoption, enabling sales and partners, generating pipeline, and fostering developer adoption. This role translates product innovation into market narratives, content, campaigns, and launches, while building partnerships with product and engineering teams and scaling the business globally. The role also involves building trust with customers and sharing their agentic AI stories. | — | 5 |
| Sr. Solutions Engineer - MFG This role is a Sr. Solutions Engineer focused on pre-sales for large enterprise accounts in the manufacturing sector. The primary responsibility is to define and lead the technical strategy for these accounts, driving wider and deeper adoption of Databricks' ML & AI products. While the role is technical and requires understanding ML/AI applications, the core function is sales enablement and technical account management, not direct ML model development or deployment. | — | 5 |
| Go-To-Market (GTM) Digital Natives Program Leader This role leads Go-To-Market (GTM) programs for Databricks' Digital Native vertical, focusing on scaling pipeline and consumption. The leader will act as a COO, translating strategy into execution, partnering with sales and field engineering, and influencing product roadmaps. Key responsibilities include owning the operating model, informing product-GTM strategy, synthesizing data-driven feedback, influencing internal leadership, building market presence, evangelizing AI adoption, designing full-funnel programs, creating assets, driving field activation, and measuring commercial outcomes. The role requires a strategic and operational mindset, technical knowledge of Databricks, AI/LLM, and open-source ecosystems, and proven experience building AI systems. | — | 5 |
| Business Value Consultant, Financial Services This role focuses on connecting Databricks' data and AI solutions to measurable business outcomes within the Financial Services sector. The Business Value Consultant acts as a trusted advisor, partnering with sales teams to articulate and quantify the impact of Databricks' offerings, build business cases, and drive value creation for customers. While the role involves understanding AI and ML's business support, it is not a hands-on AI/ML development or research position. | — | 5 |
| Sr. Product Designer, Enterprise Platform This role is for a Sr. Product Designer on the Enterprise Platform UX team at Databricks. The team focuses on governance, security, and platform observability. The designer will help shape user experiences for platform admins, focusing on intuitive controls for access and compliance, maintaining a secure environment, and providing insights into platform health. A key responsibility is exploring how Generative AI can enhance the platform experience and developer workflows. The role requires strong product design skills, experience shipping digital products, and the ability to lead complex design projects. Experience in data visualization, analytics dashboards, or designing for complex data monitoring is a plus, as is experience in Cloud, Developer Experience, AI, or Big Data spaces. | — | 5 |
| Senior Manager GTM Strategy & Operations (Partners) This role defines and executes GTM strategies for Databricks' partner ecosystem (SI, Cloud, ISV channels). It involves strategic analysis, operational rigor, and translating partner performance into actionable insights. The role will partner across various teams to scale the GTM business, including defining strategy, advising leadership, orchestrating planning, synthesizing executive reports using BI and AI tools, building reporting infrastructure, and driving performance visibility. | — | 5 |
| Principal Data Scientist Principal Data Scientist to serve as the statistical voice of the Data Science organization, translating complex data science findings into clear, actionable narratives for executive leadership and influencing data-driven decision-making across the company. This role requires deep statistical expertise, exceptional communication skills, and a proven track record of upleveling teams and setting analytical standards. | — | 5 |
| Strategic AI/BI Account Executive Sales role focused on driving adoption of Databricks' AI/BI and Genie platform, which enables conversational, AI-powered analytics for enterprise customers. The role involves partnering with Account Executives to identify and close opportunities, engaging with C-level and business leaders, and displacing legacy BI platforms with AI-driven solutions. | — | 5 |
| Sr. Solutions Engineer - Hunter Team This role is a Sr. Solutions Engineer focused on pre-sales for Databricks' Manufacturing Vertical. The primary responsibility is to define and direct the technical strategy for large enterprise accounts, leading to increased adoption of ML & AI products. While not directly building models, the role requires a strong technical understanding of big data, data science, and cloud, with a focus on value selling and driving business outcomes through Databricks solutions. | — | 5 |
| Customer Enablement Specialist This role focuses on customer enablement for Databricks' AI/BI and agent-based development innovations. The Customer Enablement Specialist will guide existing users through structured training plans to drive product adoption, customer success, and measurable business impact. Responsibilities include managing an enablement pipeline, delivering introductory sessions, building enablement plans, and reporting on key metrics. | — | 5 |
| Customer Enablement Specialist This role focuses on customer enablement for Databricks' AI/BI, Databricks Apps, and agent-based development innovations. The Customer Enablement Specialist will guide existing users through structured training plans to drive product adoption and customer success, managing a high-volume enablement pipeline and reporting on key metrics. | — | 5 |
| Sr. Product Designer, AI/BI Product Designer focused on AI/BI experiences at Databricks, aiming to make advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable. The role involves designing how humans and AI collaborate, shaping user interactions for data exploration, insight generation, and decision-making within enterprise software. Requires 5+ years of experience, a strong portfolio, and the ability to lead complex design projects. | — | 5 |
| Sr. Product Designer, AI/BI Product Designer focused on AI/BI experiences, responsible for designing how humans and AI think together, making advanced analytics, generative AI, and business intelligence intuitive, trustworthy, and actionable for both technical and non-technical users. The role involves reimagining data exploration with natural language and AI assistance, designing transparent and trustworthy AI-generated insights, and creating experiences that move from exploration to validation to action. | — | 5 |
| Sr. Solutions Architect - Lakebase This role is a Sr. Solutions Architect for Databricks' Lakebase product line, focusing on integrating transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. The role involves pre-sales, client engagement, technical expertise, and influencing product roadmaps. While the role operates within an AI company and interacts with AI ecosystems, its core function is not building or researching AI models, but rather architecting solutions that leverage existing data and AI platforms. | — | 5 |
| Sr. Solutions Architect This role is for a Sr. Solutions Architect at Databricks, focusing on pre-sales for large enterprise accounts. The primary goal is to drive the adoption of Databricks' ML & AI products by defining technical strategies, building proof-of-concepts, and acting as a technical partner to customers. While the role involves demonstrating and explaining ML & AI applications, the core function is sales enablement and technical strategy within the enterprise AI domain, rather than direct AI model development or research. | — | 5 |
| Sr. Manager, Finance PMO & Operations This role is for a Senior Manager, Finance PMO & Operations with a focus on FP&A at Databricks. The individual will drive organization, transformation, innovation, and operational efficiency across global Finance teams. Key responsibilities include project and program management, OKR setting, process optimization, transformation roadmaps, and organizational management. The role will also involve leveraging AI and emerging technologies to improve Finance workflows and enable smarter decision-making, predictive insights, and scalable automation. Experience with AI/automation tools in Finance is required. | — | 5 |
| Sr. Product Marketing Manager, Lakebase Product Marketing Manager for Databricks Lakebase, focusing on data-native applications that combine transactional data, analytics, and AI. The role involves owning messaging, content, and go-to-market strategies for application developers and database owners, working closely with product, engineering, and field teams. | — | 5 |
| Staff Product Manager - Technical Technical Product Manager to shape Databricks' OLTP Databases or Data Governance capabilities, focusing on performance, reliability, scalability, and compliance, including enabling governed access for AI agents. | — | 5 |
| Field CTO - America Industries Field CTO for Americas Industries at Databricks, focusing on driving data and AI strategy and business transformation for strategic accounts in regulated industries. This role involves building C-level relationships, shaping executive thinking on modern data and AI architectures (especially Lakehouse and Gen AI impact), leading technical discussions, and generalizing field patterns into reusable assets. The role also involves orchestrating the ecosystem, partnering with sales teams, providing customer feedback to product/engineering, and mentoring field talent. | — | 5 |
| Sr. Program Manager, Data for Good This role leads Databricks' social impact initiative, 'Databricks for Good,' focusing on designing and scaling programs that apply data and AI to global challenges. The Program Manager will be responsible for setting the vision, executing partnerships, creating content, and representing the initiative publicly, working closely with internal teams and external non-profits, universities, and public-interest organizations. | — | 5 |
| Sr. Program Manager, Data for Good This role leads Databricks' social impact initiative, "Databricks for Good," focusing on designing and scaling programs that apply data and AI to real-world challenges for nonprofits, universities, and public-interest organizations. Responsibilities include program design and management, storytelling, public-facing representation, partnership funnel ownership, content creation, cross-functional collaboration, and acting as an internal advisor on social impact use cases. The goal is to establish Databricks for Good as a credible and scalable social impact initiative, enabling organizations to leverage data and AI for societal benefit. | — | 5 |
| Sr. Product Manager - Technical This role is for a Sr. Technical Product Manager at Databricks, focusing on either OLTP Databases or Data Governance. The candidate will work with engineering and field teams to define product roadmaps, identify improvements, and ensure features deliver outstanding user experiences. For the governance focus, a key responsibility is enabling secure and compliant access for AI agents to the Databricks Data Intelligence Platform. The role requires a strong technical background, empathy for customers, domain expertise, Python/SQL skills, and experience with systems design and architecture. Experience with AI-assisted development tools is mentioned. | — | 5 |
| Sr. Product Manager, Databricks Repos Product Manager for Databricks Repos, focusing on the source control and workflow foundation for data and AI teams. The role involves driving the vision and roadmap for developer experience, integrating with Git providers, and building AI-assisted code management features to simplify authoring to production journeys for data and AI applications. | — | 5 |
| Solutions Architect Solutions Architect role focused on pre-sales for Databricks' data and AI platform, helping large enterprises adopt ML & AI solutions. The role involves defining technical strategy, leading customer transformations, and building technical champions within accounts, requiring a strong understanding of ML & AI applications in High Tech and Manufacturing. | — | 5 |
| Solutions Architect - High-Tech MFG Solutions Architect for Databricks, focusing on pre-sales and technical strategy for large enterprise accounts in High Tech and Manufacturing. The role involves driving adoption of Databricks' ML & AI products, working with sales teams, and understanding the relevance of ML & AI use cases. Requires technical depth in big data, data science, and cloud, with programming experience. | — | 5 |
| Senior Organizational Development Manager This role focuses on organizational development and designing structures for human-AI collaboration within an AI-first company. It involves creating strategies for interviewer enablement, career frameworks, and optimizing hiring processes, with a strong emphasis on understanding and adapting to the impact of AI on job roles and workflows. | — | 5 |
| Sr. Product Manager, Databricks Free Edition Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. Collaborates with cross-functional teams, partners with academic institutions, and gathers user insights to drive product improvements. Defines success metrics for learning engagement. | — | 5 |
| Solutions Architect - Healthcare/Life Sciences Team (HLS) 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. | Ship | 5 |
| Sr. Solutions Architect, Retail Pre-sales Solutions Architect for Databricks in the Retail and CPG sector, focusing on driving customer adoption of ML & AI solutions and becoming data-driven. The role involves technical strategy, value selling, and technical account management, working closely with Account Executives and hands-on resources. | — | 5 |
| Solutions Architect - Healthcare/Life Sciences Team (HLS) 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. | Ship | 5 |
| Sr. Product Manager, DBSQL Product Manager for Databricks SQL (DBSQL), a next-generation AI-powered cloud data warehousing product. The role focuses on driving innovation, shaping the roadmap, and leading DBSQL's growth by defining product vision, strategy, and roadmap, working with engineering, design, sales, and marketing, and engaging with customers. Requires 5+ years of PM experience, understanding of SQL, data warehousing, BI, and analytics use cases. | — | 5 |
| Sr. Product Manager, Data Governance Sr. Product Manager for Unity Catalog, a metadata and governance foundation for the Databricks Lakehouse. The role involves defining and launching new governance and security capabilities, building platform services for data & AI product teams, and driving features from ideation to launch with a focus on customer adoption and market insights. | — | 5 |
| Sr. Product Manager, Databricks Free Edition Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. The role involves shaping strategy, collaborating with cross-functional teams, and understanding user needs to drive product improvements. | — | 5 |
| Sr. Solutions Engineer, Retail - CPG Pre-sales Solutions Engineer for Databricks, focusing on the Retail and CPG sector. The role involves defining and directing technical strategy for enterprise accounts, driving adoption of ML & AI, and acting as the main technical voice for clients. Requires strong background in value selling, technical account management, and understanding ML & AI use cases. | — | 5 |
| Solutions Architect, Retail - CPG Solutions Architect for Databricks in the Retail/CPG sector, focusing on pre-sales and technical strategy to drive ML & AI adoption within large enterprises. The role involves leading technical strategy, building customer relationships, and understanding ML/AI use cases to promote Databricks products. | — | 5 |
| Solutions Architect - Manufacturing Solutions Architect for Databricks, focusing on helping large enterprises become more data-driven by defining and directing technical strategy for accounts, leading to wider adoption of ML & AI. This role involves value selling, technical account management, and technical leadership, working closely with Enterprise Account Executives. | — | 5 |
| Sr. Solutions Architect, Retail This role is for a Sr. Solutions Architect in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The primary goal is to drive adoption of Databricks' products, including ML & AI capabilities, by helping customers become more data-driven. While the role requires a strong understanding of ML & AI applications, the core function is pre-sales and technical account management, not direct ML model development or deployment. | — | 5 |
| Solutions Architect, Retail Solutions Architect for Databricks in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The role involves driving adoption of ML & AI, leading technical strategy, and acting as the main technical voice for clients, leveraging expertise in data-driven transformation and big data technologies. | — | 5 |