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Sell Databricks enterprise cloud data platform into net-new accounts by developing account strategies, identifying use cases, engaging buying centers, orchestrating cross-functional teams, and closing deals while exceeding quota.

Lead post-investment partner portfolio strategy for ~15 venture-backed partners, drive joint business plan execution, accelerate partner-sourced pipeline, enforce certification/governance, unblock cross-functional execution, surface scaling signals, and identify next-generation investment candidates.

Design and run partner presales enablement programs that build hands-on technical proficiency across ISV and C&SI partners. Own curriculum, assessments, roadmaps, KPIs, and large-scale learning events; coach trainers; align cross-functionally to drive partner-sourced pipeline and certification outcomes.

As a Solutions Architect, you will work on big data solutions, guide customers through implementation, and collaborate with teams on data engineering and science projects.

Lead partner marketing with consulting and systems integrators to drive joint GTM plans, co-marketing programs, repeatable partner collateral, customer stories, partner communications, and measurable pipeline growth.

The Strategic Customer Advisor will engage with executives to drive deal outcomes, coach teams, elevate sales strategies, and influence through leadership in high-stakes environments.

The Lakebase Sales Specialist drives adoption and revenue of Databricks Lakebase by engaging applications teams, conducting proof of value, and collaborating with account executives, showcasing the benefits of fully-managed Postgres for operational workloads.

The Principal Demand Generation Manager collaborates with various marketing teams to execute strategic demand generation plans, ensuring alignment with company goals and driving measurable growth through data insights.

The Lakebase Sales Specialist drives revenue by promoting Databricks Lakebase, collaborating with various account teams and managing complex sales cycles to modernize operational data foundations.

Lead and coordinate high-severity production incidents for cloud-native services, drive root cause analysis and reliability improvements, own incident communications to stakeholders and customers, and mentor peers while maintaining incident playbooks and observability-driven diagnostics.