Technical Program Manager
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will own commercial delivery of services across numerous projects, from single-person 2-3 week tasks to 6-month multi-person engagements. You will advise senior customer stakeholders, manage risks, align cross-functional teams, report on project progress, identify expansion opportunities, and mentor junior team members.
Requirements
- Experience leading complex enterprise-scale data or AI/ML projects
- Experience managing projects with teams of up to 5 people and contracts over $0.5 million
- Ability to influence senior executives including CxOs
- Understanding of cloud platforms (AWS, Azure, GCP) and data lakehouse architecture
- Experience managing multiple workstreams
- Experience with Agile, Scrum or hybrid methodologies, ideally PMI/PRINCE/AGILE certification
- Experience with change control, SoW management and margin protection
- Excellent communication skills
Responsibilities
- Own commercial delivery of services from a project administration and director perspective
- Serve as trusted advisor to senior customer stakeholders
- Manage risks and align cross-functional teams
- Report accurately on projects
- Identify expansion opportunities in key accounts
- Contribute to delivery best practices and mentor junior team members