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Lead compensation analytics and AI strategy to transform compensation data into insights, tooling, and forecasts. Own market benchmarking, total comp budget forecasting, competitive intelligence, and partner with Finance and senior leaders on compensation design and equity modeling while ensuring data governance and privacy.

The Senior Customer Enablement Architect drives customer success through tailored training programs, partnering with sales teams and assessing skill gaps to enhance adoption and business outcomes for Databricks' products.

The role involves cultivating technical relationships with Accenture, supporting solution development, customer deal support, and representing Databricks at events.

As a Named Core Account Executive, you will sell Databricks solutions to enterprise accounts, manage relationships with key stakeholders, and exceed sales targets while navigating complex sales cycles.

Lead GTM compensation strategy and programs: design pay frameworks, manage lifecycle compensation processes, analyze market and comp data, advise founders and senior leaders, and scale enterprise-wide compensation solutions.

Lead a team of compensation partners and drive enterprise-wide compensation strategy, design, and program delivery. Partner with People, Finance, and business leaders on complex pay decisions, scale compensation infrastructure, leverage analytics and AI, and ensure operational excellence across global pay cycles, equity strategy, and governance.

Lead Databricks' positioning as a strategic AI transformation partner to C-suite leaders: build executive relationships, co-create and operationalize AI transformation roadmaps, develop scaled engagement and co-sell models with partners, and establish an Expert Advisory Council to guide scaled AI adoption and value realization.

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.