Strategy & Execution Manager
DatabricksSLSQ227R807
The GTM Strategy & Operations team works directly with Databricks' Sales Leadership to accelerate growth across the business. We empower senior leaders with data-driven insights, scalable systems, and operating mechanisms to shape the high-level strategy and execute in an extremely high-growth environment.
We are looking for a Strategy & Execution Manager to serve as the business partner for the EE/Startup leadership team under the AMER Enterprise & Emerging Business BU. This is a critical and visible role to shape the GTM strategy of Databricks' highest-velocity, highest-volume segments, where the operating model has to look meaningfully different from larger-enterprise motions.
In this role, you will conduct in-depth analyses, build scalable systems for stakeholders, own operational cadences for the EE/Startup team, and redesign how strategy and ops work gets done in the age of AI. You must be able to deliver the day-to-day operational work with exceptional rigor, while also never losing sight of the long-term strategy and how the business operating model needs to evolve.
Alongside the EE/Startup leadership, you'll partner across the broader AEEB and StratOps team on cross-segment initiatives, ensuring we maintain collaboration across the BU and share best practices.
The ideal candidate is a self-starter with endless curiosity who can work cross-functionally to tackle complex problems end-to-end. We're looking for someone who is technical, AI-fluent, operationally rigorous, strategic about how high-volume GTM businesses should operate, and biased toward redesigning workflows from first principles rather than maintaining legacy ones.
This is a unique opportunity to reshape how Databricks thinks about high-volume GTM businesses, and to set the blueprint for the industry. The work will define what scaled, AI-native GTM operations look like at one of the fastest-growing companies in tech.
The impact you'll have
- Serve as the Strategy partner for the VP, EE/Startup and his leadership team
- Champion and challenger of the EE/Startup leadership team
- Redesign operational workflows from first principles in the age of AI — identify which work AI and automation can absorb, where business judgment is irreducible, and design the right operating model for a high-volume segment
- Redefine what a high-volume GTM business should look like — territory design, New Logo motion, hunter/core ratios, ramp models, partner motions, AI-augmented prospecting. Challenge the operating norms built for a different scale.
- Independently own analysis with la
About the company
Databricks
Unified analytics and data lakehouse platform.
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