Staff Technical Program Manager - Serverless

    • Databricks Inc
  • San Francisco, CA
  • Posted 24 days ago | Updated 10 hours ago

Overview

On Site
USD 149,000.00 - 263,600.00 per year
Full Time

Skills

IT program management
Google Cloud Platform
Virtual machines
Field engineering
Collaboration
IaaS
Cloud computing
Problem solving
Agile
Software development
Program management
Computer science
Computer engineering
Software engineering
Personal development
Databricks
Data
Artificial intelligence
Transportation
LEAP
UI
User experience
TPM
Performance management
Sales
Legal
Privacy
Apache Velocity
Leadership
Rally
Management
KPI
Scalability
FOCUS
Storage
Computer networking
Reporting
Amazon Web Services
Microsoft Azure
JIRA
Planning
Insurance
Training

Job Details

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 Google Cloud Platform
  • 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 .

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, Cond 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 , and .

Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

Compliance

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.