Jobs at Databricks

Develop and manage strategic sales in the financial services sector, exceeding revenue targets and ensuring customer satisfaction while articulating technology solutions to key decision-makers.

The Enterprise Account Executive will drive sales in Financial Services, managing both new and existing accounts, and exceeding revenue targets using a solution-based approach.

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.

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

Lead and operate the Product Legal program: own workstreams, build and maintain Jira automations, route and track legal requests, develop AI tooling and agents to automate legal tasks, maintain operational dashboards, and coordinate compliance rollouts while driving continuous process improvements across legal, engineering, and product teams.

Enterprise account executive responsible for selling Databricks' cloud data platform to hi-tech enterprise accounts. Build territory plan, engage CIOs and IT/LOB leaders, manage full sales cycles, close new and existing accounts, track opportunities in Salesforce, exceed pipeline and revenue targets, and ensure customer satisfaction.

Sell Databricks enterprise cloud data platform to Financial Services customers. Manage full sales cycle with CIOs and IT/LOB execs, close new and expansion deals, track pipeline in Salesforce, exceed quota, and drive customer satisfaction and internal account plans.

Customer-facing senior engineer who architects, builds, and productionizes Databricks-based data and AI solutions. Leads end-to-end data engineering, ML/AI model integration, CI/CD deployments, and reusable assets while collaborating with stakeholders to deliver measurable outcomes and scale best practices.

Customer-facing senior engineer who architects, builds, and productionizes data and AI solutions on the Databricks platform. Leads end-to-end projects spanning data engineering, distributed Spark systems, MLOps, and user-facing applications, embeds with stakeholders, delivers measurable outcomes, and contributes reusable assets and best practices.

Partner with sales to design and demo Databricks-based data architectures and proofs-of-concept. Provide technical leadership for cloud data engineering, analytics, and ML projects, build reference architectures and demos, and engage Financial Services customers to drive adoption and implementation.

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.

Lead GEO and AI search optimization to increase Databricks' visibility and citations across AI answer engines and organic search. Build experimentation programs, publish AI-citable technical content, maintain technical SEO health (schema, crawlability, Core Web Vitals), and partner cross-functionally to drive traffic, conversions, and pipeline while delivering executive reporting and a repeatable GEO playbook.

Lead and scale Databricks' global web marketing function: build a product-focused team, modernize web properties for humans and AI agents, implement personalization and testing, apply AI to automate web workflows, ensure machine-readable content and strong information architecture, drive analytics-informed growth, manage vendors, and coordinate global marketing efforts.

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.

Build and lead a global Generative Engine Optimization function to increase Databricks visibility across AI answer engines and organic search. Own strategy, experimentation, measurement, technical SEO, cross-functional execution, and hiring to drive AI-referred traffic, conversions, and pipeline.

Serve as a customer-facing technical advisor for Databricks on Azure, designing and deploying secure, scalable enterprise architectures, building PoCs, automating infrastructure with IaC, and supporting pre/post-sales technical engagements while sharing knowledge through tutorials and community contributions.

Senior GTM leader for Databricks' Energy industry in AMER. Set AI vision with executives, drive GTM strategy and pipeline across oil & gas, power, renewables and mining, align cross-functional teams, produce thought leadership, and support customers through regular travel.

Lead end-to-end technical strategy and architecture for accounts, drive Databricks platform adoption, design scalable data and ML/streaming solutions, advise senior technical stakeholders, coordinate cross-functional teams, influence product direction, and support production deployments on public cloud.

The Emerging Enterprise Sales Leader will oversee a team focused on selling to the Emerging Enterprise Segment, driving revenue success, building strategic plans, and developing long-term customer relationships.

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.