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As the Director of Product Marketing for Databricks AI, you will lead the marketing strategy for AI products, collaborate with teams to create effective campaigns and product launches, and increase global outreach through partnerships.

The role involves defining and owning the product vision and strategy for compute platform features, collaborating with engineering and engaging with customers to drive product success.

Build and scale web platform infrastructure (CI/CD, deployment automation, secrets management, edge delivery) for databricks.com. Implement automated accessibility testing and centralized consent management, unify frameworks into a shared design system, and operate within an AI-native, agent-assisted SDLC to drive platform features to production.

The Sr Staff Product Operations Manager will lead operational orchestration, investment intelligence, synthesis of ambiguity, and systems transformation for product lifecycle and GTM strategy.

The Senior Staff Product Operations Manager will lead operational strategies across Engineering and Product, ensuring alignment and data-driven decision-making to enhance product lifecycle and GTM effectiveness.

The Senior Executive Assistant will support the Engineering leader by managing calendars, scheduling meetings, and enhancing team efficiency through effective administrative support.

Lead the architecture and technical direction for the ETL product line, focusing on large-scale distributed systems, performance optimization, and managing complex technical initiatives.

Lead architecture and build agentic LLM systems for People Tech (onboarding, comp analysis, HR service delivery). Define agent platform strategy, integrate HR systems as agent-accessible tools, set engineering standards, run architectural reviews, and mentor engineers while translating capabilities to business stakeholders.

Lead and scale a Forward Deployed Engineering team for Public Sector customers, overseeing technical delivery of large-scale data migrations, AI/ML and GenAI programs. Partner with sales and product teams to scope and deliver professional services, enforce delivery quality and risk management, mentor engineers, and act as escalation point for high-stakes customer situations.

Lead strategy and roadmap for Databricks' SAP platform, build AI-driven agentic automation on top of SAP, own ingestion and modeling of SAP data into the Lakehouse, act as product owner through delivery, and align Finance, Procurement, and engineering to drive adoption and measurable automation outcomes.