Jobs at Databricks

Run and own AI-first sales development programs: design metrics, reporting, governance, adoption, and sequence management. Drive executive cadences, prioritize with sales leaders, build data foundations and field-facing reporting, and partner across AI Ops, Sales Ops, GTM Analytics, and Enablement to scale AI-native prospecting.

Design and maintain a skill and concept graph, build ML models to infer learner skills, and develop recommendation systems and LLM-driven features. Ship production-ready LLM systems, define explainability standards, partner with frontend and product teams, and monitor model performance and evaluation frameworks.

Embed with strategic customers to design and deliver end-to-end Databricks-based solutions. Lead architecture, build fullstack applications, integrate data pipelines and ML/AI models, and collaborate cross-functionally to deliver production-grade systems and reusable assets that drive measurable enterprise impact.

Lead technical pre-sales strategy for large enterprise accounts, driving adoption of Databricks and ML/AI solutions. Act as primary technical voice, build executive and technical relationships, create technical strategies, and enable champions while coordinating proofs-of-concept and cross-functional teams to deliver business outcomes.

The Sr. Solutions Engineer will drive technical strategy for large accounts, implement AI and ML solutions, and lead data-driven transformations using Databricks.

The Finance Manager will partner with Product Support to manage the Support P&L, build capacity models, assess financial impacts, and drive operational improvements. Key responsibilities include designing KPIs, analyzing financial data, and facilitating cross-functional collaborations for strategic planning.

Lead a team of researchers to improve large-scale machine learning, focusing on efficiency, optimization, and scaling techniques for AI models.

The role involves leading complex, cross-functional programs in enterprise software, influencing roadmap decisions, driving execution across organizations, and ensuring successful product launches and customer adoption.

The Product Marketing Director will lead strategy for Lakewatch, driving growth through pipeline acquisition, product launches, and market positioning in the cybersecurity domain.

The Senior Frontend Engineer will design and build scalable dashboards and data exploration tools, focusing on user experience, performance, and collaboration with cross-functional teams.

As an Enterprise Account Executive, you will sell to Enterprise accounts, drive new business, maintain existing relationships, and exceed revenue targets while utilizing Salesforce for tracking customers and opportunities.

Lead customer-facing, production-grade data and AI projects on the Databricks platform: design architectures, build end-to-end data pipelines, integrate ML/AI models and applications, embed with customer teams, deliver scalable secure solutions, contribute reusable accelerators, and collaborate cross-functionally to drive measurable outcomes.

Customer-facing senior engineer who architects, builds, and productionizes end-to-end data and AI solutions on the Databricks platform. Leads architecture, implements data pipelines, ML/AI model integration, CI/CD deployments, and reusable accelerators while collaborating with customers and cross-functional teams to deliver measurable business outcomes.

Lead Databricks' global strategic partnership with Accenture, managing a global alliance team to grow revenue, scale the Accenture Databricks Business Group, drive joint go-to-market programs, executive engagement, training, repeatable IP investments, and joint customer adoption across AMER, EMEA and APAC.

Deliver Databricks-based big data solutions for customers: design and build architectures, implement Spark workloads, consult on migrations, support production deployments, manage scope and timelines, and provide escalated technical support and training.

Lead customer-facing projects to design, build, and productionize end-to-end data and AI solutions on Databricks. Own architecture, implement data pipelines, ML/AI integrations, applications, and reusable assets. Embed with customers, guide adoption, manage technical delivery, and collaborate cross-functionally to drive measurable outcomes.

As a Site Reliability Engineer, you will automate, optimize, and manage cloud infrastructure while ensuring system reliability and collaborating cross-functionally.

As a Sr. Staff Software Engineer, you will optimize large-scale distributed systems, deliver scalable architectures, debug, mentor engineers, and drive technical projects across teams.

The role involves selling Databricks' enterprise cloud data platform to enterprise accounts, managing existing customer relationships, and closing new accounts. The candidate must exceed sales targets while articulating complex cloud technologies and developing relationships with key decision-makers.

Lead and grow a global team of Designated Support Engineers delivering white-glove post-sales technical support. Hire, mentor, and scale the team, drive process improvements and KPIs, coordinate across field, product, and engineering to resolve technical issues, run support QBRs, and advocate for enterprise customer needs to improve satisfaction and time-to-mitigation.