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.
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).
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 26 new AI-related roles.
| Title | Stage | AI score |
|---|---|---|
| Solutions Architect - Digital Native Business Solutions Architect for Databricks' Digital Natives team, focusing on big data, data engineering, data science, and machine learning solutions. The role involves collaborating with customers and internal teams to design architectures, implement proof-of-concepts, and provide technical leadership using the Databricks platform and APIs. Expertise in either Data Engineering or Data Science/ML technologies is required. | — | 5 |
| Staff Data Scientist 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. | Ship |
| 5 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required. | — | 2 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required. | — | 2 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required. | — | 2 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required. | — | 2 |
| Resident Solutions Architect - Public Sector This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required. | — | 2 |
| Manager, Delivery Solutions Architects - Financial Services Manager for Delivery Solutions Architects in Financial Services, focusing on post-sales customer success and driving the adoption of Data and AI solutions. The role involves leading a team, setting technical strategy, partnering with sales and services, and ensuring measurable customer outcomes by moving use cases from kickoff to production. | — | 1 |
| Manager, Field Engineering - Health Payer and Provider(Hunter) Manager, Field Engineering for Healthcare and Life Science at Databricks, leading a pre-sales Solutions Architect team focused on Greenfield Accounts. The role involves guiding teams to solve complex challenges using Databricks' Data Intelligence Platform, supporting sales cycles, and accelerating adoption of modern data and AI capabilities in healthcare and life sciences. Requires leadership in enterprise software, big data/analytics, data engineering, and data science. | — | 1 |
| Enterprise Account Executive, Federal Civilian Enterprise Account Executive focused on selling Databricks' data and AI platform to Federal Civilian government accounts. Responsibilities include managing complex sales cycles, closing new business, expanding existing accounts, and exceeding revenue targets. Requires experience in field sales, preferably in the public sector, with a background in big data, Cloud, or SaaS sales. | — | 0 |
| Geo Core Account Executive Account Executive role focused on selling Databricks' data and AI platform to high-growth, venture-backed digital native customers. Responsibilities include driving account strategy, engaging with C-level to practitioner stakeholders, meeting revenue targets, and expanding consumption within existing accounts. Requires experience in value selling, cloud/SaaS sales, and exceeding quotas. | — | 0 |
| Strategic Enterprise Account Executive, State and Local Strategic Enterprise Account Executive for Databricks' public sector accounts, focusing on selling the company's enterprise cloud data platform. Requires experience in State and Local government sales, managing complex sales cycles, and exceeding revenue targets. | — | 0 |
| Enterprise Account Executive, Federal Financials Enterprise Account Executive focused on selling Databricks' data and AI platform to Federal Financials clients in the Public Sector. Responsibilities include managing sales cycles, closing new business, expanding existing accounts, and exceeding revenue targets. Requires strong sales experience, particularly in federal or big data/SaaS environments. | — | 0 |
| Sr. Counsel, Commercial This role supports Databricks' sales organization on complex SaaS and other commercial transactions with sophisticated enterprise customers, including customers in regulated industries. You will independently lead negotiations, advise on deal strategy, and work as part of a collaborative team supporting Databricks' data and AI business. The role is well-suited for an attorney who exercises strong judgment and translates legal complexity into clear, practical advice for business stakeholders. | — | 0 |
| Named Core Account Executive Enterprise Account Executive at Databricks, a data and AI company, responsible for selling the Databricks Data Intelligence Platform. Requires 7+ years of enterprise sales experience, ability to navigate complex sales cycles, and a strong understanding of cloud data platforms and big data technologies. | — | 0 |
| Sr. Partner Marketing Manager - Consulting & System Integrators This role is a Senior Partner Marketing Manager focused on driving demand and brand awareness for Databricks' Data and AI Platform joint solutions with Consulting & System Integrators (C&SI). The responsibilities include building and executing joint marketing plans, co-marketing programs, creating collateral, publishing customer stories, managing partner communications, and scaling repeatable marketing motions. The role requires significant experience in partner marketing for enterprise software/SaaS, proven success with consulting firms, strong program management, and domain familiarity with cloud, big data, analytics, ML, or AI technologies. | — | 0 |
| Staff Software Engineer, Compute Infrastructure Databricks is seeking a Staff Software Engineer, Compute Infrastructure to design and build the systems that power their compute infrastructure. This role involves developing compute abstractions, workload orchestration and scheduling systems, and fleet management systems to enable engineers to launch and scale products efficiently and reliably across major cloud providers. The ideal candidate has extensive experience in large-scale distributed systems and cloud platforms. | — | 0 |
| Lakebase Sales Specialist This role is for a Lakebase Sales Specialist at Databricks, focusing on selling their fully-managed Postgres offering for intelligent applications and operational workloads. The role involves driving new revenue, leading sales cycles, orchestrating proof-of-values, and partnering cross-functionally to increase adoption of Lakebase. | — | 0 |
| Lakebase Sales Specialist- Financial Services This role is for a Sales Specialist focused on Databricks' Lakebase, a managed Postgres offering for intelligent applications. The role involves driving revenue by identifying, qualifying, and activating Lakebase consumption within a defined territory, partnering with Account Executives. Success requires business ownership, strategic account engagement, field enablement, and market thought leadership. The ideal candidate has enterprise SaaS sales experience, understands modern data architectures, and can sell to both technical and business stakeholders. | — | 0 |
| Lakebase Sales Specialist, Healthcare & Life Sciences Sales Specialist for Databricks Lakebase (managed Postgres) focused on the Healthcare & Life Sciences sector. The role involves driving adoption and revenue by partnering with Account Executives, leading sales cycles, orchestrating proof-of-values, and articulating the benefits of Lakebase for operational workloads and AI-native applications. | — | 0 |
| Named Hunter Account Executive This role is for a Digital Native Account Executive at Databricks, focusing on selling the Databricks Data Intelligence Platform to existing accounts. The primary responsibilities include assessing accounts, developing sales strategies, identifying use cases, and managing the sales pipeline to close deals. The role requires experience in SaaS sales, understanding of data platforms or cloud infrastructure, and a track record of exceeding sales targets. | — | 0 |
| Strategic Enterprise Account Executive - CMEG Sales role at Databricks, a company operating in the AI space, focusing on selling their Data Intelligence Platform. Requires experience in enterprise sales, understanding of big data, advanced analytics, and AI, and the ability to drive value-based growth within Fortune 500 accounts. | — | 0 |
| Strategic Enterprise Account Executive - CPG Databricks is seeking a Strategic Enterprise Account Executive for their CPG team to manage strategic enterprise clients in the Retail vertical. The role involves leading go-to-market campaigns, driving value-based growth, expanding the Databricks footprint, and exceeding sales targets within Fortune 500 accounts. The ideal candidate has prior experience in enterprise sales within big data, Cloud, and SaaS, with a strong understanding of Advanced Analytics and AI. | — | 0 |
| Specialist Solutions Architect - Data Engineering & Observability This role focuses on guiding customers through cloud data engineering transformations using the Databricks Data Intelligence Platform. It involves hands-on production experience with large-scale data engineering technologies, lakehouse architecture, and data observability, including SIEM tools and anomaly detection. The Specialist Solutions Architect will architect production workloads, optimize pipelines, and assist with technical sales, focusing on data lake technology, big data streaming, and ingestion. | — | 0 |
| Executive Assistant Executive Assistant to support a Senior Leader within Product & Engineering and the SVP of Corporate Development & Ventures at Databricks. Responsibilities include calendar management, request tracking, meeting preparation, event management, operational and travel support, and handling confidential information. Requires 7+ years of experience, strong organizational and communication skills, and a curiosity about technology and the AI/data landscape. | — | 0 |
| Lakebase Sales Specialist - Retail Databricks is seeking a Lakebase Sales Specialist for their Retail vertical. This role focuses on selling Databricks Lakebase, a fully-managed Postgres offering for intelligent applications, to platform, application, and data teams. The specialist will drive new revenue, lead with outcomes, sell the value of Postgres for intelligent applications, manage sales cycles, orchestrate POCs, and compete against other databases. Success involves establishing strategic accounts, driving Postgres standardization, and demonstrating business ownership, strategic account engagement, field enablement, and market thought leadership. Requires 7+ years of enterprise SaaS sales experience, success selling data platforms or operational databases, and understanding of modern data/application architectures and how operational data supports AI strategies. | — | 0 |
| Sr. Technical Program Manager, Professional Services - Communications, Media, Entertainment, & Gaming This role is for a Sr. Technical Program Manager within Databricks' Professional Services team, focusing on the Communications, Media, Entertainment, & Gaming (CMEG) sector. The primary responsibility is to ensure the successful delivery of complex customer engagements by providing technical leadership, guiding implementation teams, and managing project scope, schedule, budget, risk, and resources. While not a hands-on coding role, it requires strong technical acumen to guide architectural decisions, identify and mitigate technical risks, and act as a primary escalation point for technical delivery issues. The role emphasizes program and project management, communication, and leadership skills, with a preference for experience in BI, data management, and big data technologies. | — | 0 |
| Sr. Director, Enterprise - Retail Vertical - Strategic Accounts Sales Director role focused on leading a team of Strategic Enterprise Account Executives in the Retail Vertical, measured by team quota achievement and Databricks usage growth. Requires experience in Big Data, Cloud, Analytics, and AI sales, with a strong emphasis on enterprise sales leadership and driving consumption. | — | 0 |
| Sr. Manager, Engineering Configuration Platform Team Senior Engineering Manager to lead a team within the Configuration Platform organization at Databricks. This role focuses on managing systems that handle configuration and feature flags across all Databricks services, ensuring safe and efficient rollout of changes, experiments, and incident mitigation. The platform supports thousands of internal engineers and handles millions of evaluations per second with low latency. The manager will drive strategy, reduce incidents, improve developer experience, and grow the team. | — | 0 |
| Sr. Staff Software Engineer - Managed Tables Databricks is seeking a Sr. Staff Software Engineer for their ManagedTables team, focusing on DataIntelligence initiatives like Predictive Optimization and Liquid Clustering. The role involves designing and implementing next-generation autonomous analytical data systems for optimal performance and efficiency, optimizing exabytes of data, and saving millions for customers. This is a senior engineering role focused on large-scale distributed systems, storage optimization, and influencing product roadmaps. | — | 0 |
| Specialist Solutions Architect - Data Warehouse This role is a Specialist Solutions Architect focused on Data Warehousing and lake house architecture on the Databricks platform. It involves guiding customers through cloud data warehousing transformations, providing technical leadership, and ensuring successful production planning and deployment of business intelligence workloads. The role requires deep expertise in data warehousing technologies, performance tuning, data modeling, and architecture design. | — | 0 |
| Sr. Corporate Development Associate Databricks is seeking a Sr. Corporate Development Associate/Manager to identify and execute acquisitions and strategic investments to support their corporate and product strategy. This role involves end-to-end transaction management, including due diligence, material preparation, and post-close integration planning. The associate will also build relationships within the ecosystem to originate opportunities and enhance team efficiency. | — | 0 |
| Lead Engagement Manager, Professional Servics - Digital Native Business (DNB) This role is for a Lead Engagement Manager in Professional Services focused on Digital Native Business customers. The role involves scoping and leading complex, multi-quarter initiatives, driving regional impact, mentoring junior staff, shaping account strategy, and building strategic customer relationships. Expertise in Databricks architecture and strategic account planning is required. | — | 0 |
| Strategic Enterprise Account Executive, Lakewatch This role is for a Strategic Enterprise Account Executive focused on selling Databricks' Lakewatch platform, which is described as an open, agentic platform for security teams to modernize SIEM with AI-driven detection and response. The role involves hitting sales targets, replacing legacy SIEM tools, and establishing Lakewatch as a strategic security data platform. It requires extensive enterprise SaaS sales experience, particularly in security or observability platforms, and the ability to sell to both technical and business stakeholders. | — | 0 |
| Lead Technical Program Manager, Professional Services - Retail Lead Technical Program Manager for Professional Services in the Retail sector, focusing on customer engagements and technical leadership to ensure successful delivery of Databricks' Data Intelligence Platform. The role requires strong program management skills and technical acumen, but not hands-on coding. | — | 0 |
| Strategic Hunter Account Executive, Digital Natives Strategic Hunter Account Executive focused on selling Databricks' data and AI platform to high-growth, venture-backed companies in the digital natives sector. Responsibilities include penetrating accounts, demonstrating value, closing new business, and growing consumption, with a focus on exceeding activity, pipeline, and revenue targets. | — | 0 |
| Sr. Manager, Engineering This role is for a Senior Engineering Manager at Databricks to lead foundational teams within Trust and Safety. The focus is on building and scaling critical infrastructure and services for their data and AI platform, emphasizing reliability, security, and performance at cloud scale. The role involves defining strategy, providing technical oversight, and growing engineering talent. | — | 0 |
| Manager, Field Engineering - Healthcare and Life Sciences (HLS) Manager, Field Engineering for Healthcare & Life Science leading a pre-sales Solutions Architect team focused on enterprise software, big data/analytics, data engineering, and data science solutions within provider accounts. | — | 0 |
| Sr. ISV & Partner Solutions Architect This role is a Sr. ISV & Partner Solutions Architect at Databricks, focusing on building technical relationships with C&SI partners to drive indirect revenue and accelerate customer adoption of Databricks' data and AI platform. Responsibilities include providing technical expertise, developing joint solutions, supporting customer deals, representing Databricks at events, and gathering product feedback. The role requires extensive experience in customer/partner-facing technical roles and familiarity with agentic frameworks or ML/data science. | — | 0 |
| Senior Customer Enablement Architect This role focuses on driving the commercial success of Databricks' training and enablement portfolio for enterprise accounts, partnering with sales and customer success teams to position learning as a key lever for customer adoption, renewal, and expansion. The architect will translate customer goals into tailored enablement programs, conduct learning diagnostics, and deliver blended learning experiences, ultimately ensuring customers realize the full value of the Databricks platform. | — | 0 |
| Named Core Account Executive Enterprise Account Executive role at Databricks, focused on selling the Databricks Data Intelligence Platform. Requires experience in enterprise sales, understanding of cloud data platforms, and ability to manage complex sales cycles. The role involves identifying and closing new and existing accounts, meeting with key executives, and exceeding revenue targets. | — | 0 |
| Senior Software Engineer, Compute Infrastructure Databricks is seeking a Senior Software Engineer to design and build the compute infrastructure that powers their Data and AI platform. This role involves developing compute abstractions, workload orchestration, scheduling systems, and fleet management for millions of VMs across major cloud providers, ensuring high elasticity, reliability, and cost efficiency for diverse workloads including serving, batch, stateful, and GPU-intensive tasks. The ideal candidate will have extensive experience in large-scale distributed systems and cloud platforms. | — | 0 |
| Senior Manager, International Equity Administration Seeking a Senior Manager, International Equity Administration to lead global equity operations across ~45 countries, ensuring compliance with complex international regulations, managing transactions, and enhancing employee equity experience. Responsibilities include managing option exercises, RSU releases, reconciliations, implementing equity system solutions, partnering with various internal and external teams (Tax, Legal, Accounting, Mobility, Payroll, People Ops), and driving process improvements. Requires deep experience in international equity administration, global compliance, and tax regulations, with strong operational knowledge of equity administration systems. CEP Level 3 preferred. | — | 0 |
| Specialist Solutions Architect - Cloud Infrastructure & Platform This role is for a Specialist Solutions Architect focused on Cloud Infrastructure & Platform at Databricks. The primary responsibility is to guide customers in the administration and security of their Databricks deployments, architecting production-level deployments, and assisting Solution Architects with technical sales. While Databricks is an AI company, this specific role is customer-facing and focused on platform implementation and support, not direct AI/ML model development or research. | — | 0 |
| Staff Technical Program Manager- Unity Catalog This role is for a Staff Technical Program Manager at Databricks, focusing on platform and product experiences. The TPM will lead complex, high-visibility programs, align senior stakeholders, and build operating models for company-wide execution. The role involves owning the delivery of important initiatives, influencing roadmap decisions, driving cross-organizational execution, and ensuring successful product launches and customer adoption, particularly in areas unifying data, AI, and governance capabilities. | — | 0 |
| Commercial Account Executive Commercial Account Executive at Databricks, a data and AI company. Responsible for selling the Databricks Data Intelligence Platform to new and existing customers, focusing on building territory plans, aligning customers with the Lakehouse vision, and exceeding sales targets. Requires 1+ years of closing experience, SaaS sales background, and proficiency in sales methodologies like MEDDPICC. | — | 0 |
| Sr Staff Production Engineer- Public Sector This role is for a Sr Staff Production Engineer focused on securing and evolving Databricks' global platform infrastructure, particularly in highly regulated and sovereign environments. The engineer will own and automate IAM, access patterns, and guardrails across AWS, Azure, and GCP, ensuring reliability and security. Responsibilities include managing security data pipelines, compliance evidence, and participating in incident response for critical security and access infrastructure. | — | 0 |
| Staff Production Engineer- Public Sector This role focuses on owning and evolving the secure infrastructure, access patterns, and guardrails for Databricks' global platform, ensuring its operation in highly regulated, air-gapped, and sovereign environments. The engineer will design, automate, and operate IAM, account lifecycle, and cloud identity policies across AWS, Azure, and GCP, build reliable automation for cloud changes, own security and audit logging data pipelines, and operate specialized, highly regulated environments. The role also involves on-call duties and incident response for critical security and access infrastructure. | — | 0 |
| Sr Software Engineer, Infrastructure Senior Software Engineer on the IT Infrastructure team responsible for evolving core infrastructure and observability platforms. This role involves architecting and automating AWS infrastructure using Terraform/Pulumi, managing Kubernetes workloads, CI/CD pipelines with GitHub Actions, and building internal tools and AI plugins to streamline developer workflows and enhance operational efficiency. The focus is on building resilient, scalable, and automated infrastructure, ensuring AWS environments are cost-optimized, secure, and highly available. | — | 0 |
| Sr Production Engineer- Public Sector This role focuses on owning and evolving the secure infrastructure, access patterns, and guardrails for Databricks' global platform, ensuring reliability and security in highly regulated, air-gapped, and sovereign environments. Responsibilities include automating IAM, access policies, and security logging pipelines, operating specialized environments like FedRAMP/GovCloud, and participating in incident response. | — | 0 |