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Databricks — Francisco
GAQ327R268 While candidates in the listed location(s) are encouraged for this role, candidates in other locations will be considered. The Role Databricks continues to grow organically and through numerous strategic acquisitions. We’re looking to scale our M&A engine to handle high-volume and high-complexity deals.
As the Staff Program Manager, you will oversee and lead the "engine room" of our People M&A team, transforming manual workflows, undocumented process, and numerous spreadsheets into a world-class, automated execution machine. You will bridge the gap between Corporate Development and our functional People teams to ensure every "Brickster" joins with a seamless, error-free experience. We are looking for a strategic builder who think from first principles.
You don’t just follow a playbook; you engineer the platform that allows us to scale. You are someone who moves seamlessly between detailed strategy and deep-dive execution, energized by the technical complexity of M&A and the fast-paced velocity of our growth. The impact you will have: Standardize the Playbook: Operationalize tribal knowledge into a documented, E2E M&A Playbook and Knowledge Hub to eliminate dependency on a small group of experts.
Drive Automation: Partner with People Tech to design and execute the "Tech Efficiency Roadmap," utilizing automation and AI into our workflows/deal phases. Execution Leadership: Lead the People M&A phases of the deal. Manage the complex orchestration of recruiting, IT onboarding, and HR operations from deal disclosure through Day 1.
Data Integrity: Design and establish "Single Source of Truth" protocols and data ownership matrices to ensure 100% accuracy in employee data across all systems.
Benefits
, PeopleOps, People Partners, Global Mobility) to ensure the People M&A priorities are roadmapped, tracked and implemented.
listed above. For more information regarding which range your location is in visit our page here .
Compensation
practices. The pay range(s) for this role is listed below and represents the expected base salary range for non-commissionable roles or on-target earnings for commissionable roles.
packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipated utilizing the full width of the range.
package for this position may also include eligibility for annual performance bonus, equity, and the
practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles.
packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range.
package for this position may also include eligibility for annual performance