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Databricks

Builds cloud software for data analysis and AI

Lead Field Technical Program Manager - Multiple Teams

Program ManagementConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.
  • Experience managing large, complex engagements and mitigating unexpected technical challenges.
  • Familiarity with managing trade-offs between scope, budget, and timeline.
  • Experience influencing technical teams and tailoring messages for audiences ranging from engineers to executives.
  • Ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.

Responsibilities

  • Be responsible for successful delivery of the most complex customer engagements by providing technical leadership and guidance to the implementation team.
  • Guide technical teams through key architectural decisions and help them navigate trade-offs between established and innovative approaches.
  • Proactively identify and mitigate technical risks and dependencies that could impact project timelines and goals.
  • Individually deliver high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.
  • Manage program scope, schedule, budget, risk, and resources, with a focus on technical complexity.
  • Act as the primary point of escalation for customers regarding technical delivery issues and escalate to other parts of Databricks for rapid resolution as needed.
  • Build trust and credibility with technical teams and stakeholders by articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.

Desired Qualifications

  • Experience with business intelligence, data management, and big data technologies.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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