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Active1d ago

Sr. Staff Technical Program Manager - Reliability

Databricks·📍 Mountain View, California, United States

Employment

Full-Time

Work mode

On-site

Experience

SENIOR LEVEL

Salary

$189.8K – $256.2K/yr

Role overview

Job description

P-1489 About Databricks At Databricks, we are passionate about empowering data teams to tackle the world's most complex challenges — from bringing the next mode of transportation to reality to accelerating the development of medical breakthroughs. We achieve this by building and operating the world's best data and AI infrastructure platform, enabling our customers to leverage deep data insights and enhance their business. The Role We are seeking an exceptional Senior Staff Technical Program Manager (TPM) for Reliability to lead the strategy, execution, and continuous improvement of our most critical Reliability initiatives across infrastructure and product engineering teams at Databricks. As Databricks scales to support thousands of customers and the world’s most data-intensive workloads, Reliability is foundational to our mission. In this role, you will lead cross-company programs that

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Role market pulse

How Program Manager demand looks in United States

64/100 · steady

Live jobs

409

Posted 30d

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Remote share

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Salary listed

67.7%

Salary trend 1Y

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What they are looking for

Skills & requirements

Qualification

What we look for: Required Experience & Qualifications 10+ years of experience managing and delivering large-scale technical programs in cloud infrastructure, distributed systems, SRE, or platform engineering environments; Bachelor’s degree in Computer Science, Engineering, or related technical field; advanced degree preferred; government license for such positions, and Employer may decline to proceed with an applicant on this basis alone

Department · Engineering - Pipeline

Databricks logo

Hiring company

Databricks

Technology

Databricks offers a unified platform for data, analytics and AI. Build better AI with a data-centric approach. Simplify ETL, data warehousing, governance and AI on the Data + AI Platform.

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