Staff Technical Program Manager - Serverless

P-298

 

At Databricks, we are passionate about enabling Data and AI teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best Data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers — and customer obsessed — we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. 

Technical Program Manager (TPM) is an integral part of the engineering organization and the connective issues across all fabrics (Eng, PM, UX, Doc, Support, Field Engineering, Sales, Legal, Security, Privacy, DevRel, and etc.) of the company to define repeatable processes and drive execution velocity.  TPMs lead teams to navigate through ambiguity, pin down problems, define requirements, find solutions, rally stakeholders, identify risks, manage constraints, communicate status, remove blockers, launch products, measure KPIs, and celebrate successes.

Databricks Serverless is designed to deliver product simplicity, reliability, scalability, better TCO to enable customers to focus on implementing their data process and analysis pipelines.  Databricks efficiently manages compute, storage and networking resources, including optimizing and scaling the core infrastructure for your workloads. As a TPM in Databricks Serverless, you will have the opportunities to work across the entire Databricks infrastructure stacks and product lines, driving quality, efficiency, reliability, performance, and scalability of Databricks’ Serverless offerings.

You will report directly to the Director Technical Program Management.

What we look for:

• 5+ years of technical program management experience in cloud infrastructure. Proven track record of managing large-scale complex projects
• Strong technical skills and understanding of cloud computing, serverless architecture, and core infrastructure components. Hands-on experience with cloud providers such as AWS, Azure, or GCP
• Experience guiding cross-functional teams. Strong problem-solving skills and the ability to make sound technical decisions
• Experience communicating technical concepts to all kinds of stakeholders
• Comfortable handling conflicts and escalations
• Track records in creating repeatable processes and influence adoptions in multiple teams or organizations
• Familiar with Agile methodology in software development and program management tools such as Jira
• Bachelor's degree in a related field (EE, Computer Science, Computer Engineering, Software Engineering)

 

Benefits

• Comprehensive health coverage including medical, dental, and vision
• 401(k) Plan
• Equity awards
• Flexible time off
• Paid parental leave
• Family Planning
• Gym reimbursement
• Annual personal development fund
• Work headphones reimbursement
• Employee Assistance Program (EAP)
• Business travel accident insurance

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents base salary range for non-commissionable roles or on-target earnings for commissionable roles.  Actual compensation 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 utilizes the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.

 

Local Pay Range$149,000—$263,600 USD

About Databricks

Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on