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Sr. Manager, Engineering

Databricks - Mountain View, California

Posted May 1, 2026

Benefits

Parental leave
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Non-birth-parent leave
Not verified not verified - source URL not recorded; timestamp not recorded
Family-building benefits
  • Fertility benefits: Not verified
  • Adoption assistance: Not verified
  • Surrogacy assistance: Not verified
Mental health support
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Relocation assistance
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Childcare support
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Learning budget
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Verification
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Salary
$229K-$314K From the posting source checked Jun 20, 2026
401(k) match
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Market context

U.S. role benchmark (BLS OEWS)
$116,543 U.S. median for this role
Projected growth (BLS Employment Projections)
+9.8% - Much faster than average

133% above the BLS role benchmark for software engineering aggregate.

Matched to SOC 15-1252 - Software Engineering aggregate by role bucket.

Source: U.S. Bureau of Labor Statistics, OEWS, May 2024 and Employment Projections, 2024-2034.

Role

Role function
Engineering From the posting source checked Jun 20, 2026
Seniority
Senior From the posting source checked Jun 20, 2026

Schedule

Shift type
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Weekend work
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Company

Equity
Offered From the posting source checked Jun 20, 2026

Application

Cover letter
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Assessment
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Deadline
Not stated

Where they hire

State eligibility is not yet verified.

About this role

Sr. Manager, Engineering Mountain View, California P-1107 At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Customers trust Databricks with their most valuable data, and our Trust & Safety organization has the mission to build the most trusted Data and AI platform in the world. We are looking for a Senior Engineering Manager to lead foundational teams within Trust and Safety and define the strategy for how our core platform services are built and scaled. You will lead teams owning critical infrastructure and services that must be highly reliable, secure, and fast under extreme load. The impact you will have: - Define and drive the strategy for foundational systems operating at cloud scale. - Build and scale a high-performing engineering team focused on large-scale distributed architecture, reliability, and security. - Provide technical oversight on architecture and design for components that can operate at massive scale, with high requirements for reliability, security, and performance. - Partner with engineering and product leaders across Databricks to embed secure, scalable solutions into every aspect of our product. - Ensure alignment with industry best practices, helping customers meet their own governance, privacy, and security needs. - Attract and grow top engineering talent, building a team culture that emphasizes innovation, collaboration, and

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