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Databricks

Builds cloud software for data analysis and AI

Senior Field Technical Program Manager - FDE

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 hands-on coding.
  • Experience managing large, complex engagements and mitigating unexpected technical challenges.
  • Familiarity with managing trade-offs between scope, budget, and timeline.
  • Excellent communication, negotiation, and conflict-resolution skills.
  • A track record of influencing technical teams and tailoring messages for audiences ranging from engineers to executives.
  • The ability to multitask and manage multiple engagements while delivering high customer satisfaction.

Responsibilities

  • Drive successful delivery of complex customer engagements by providing technical leadership and guidance to the implementation team.
  • Guide technical teams through architectural decisions and help them navigate trade-offs between established and innovative approaches.
  • Identify and mitigate technical risks and dependencies that could affect project timelines and goals.
  • Produce 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 escalation point for customers regarding technical delivery issues and escalate to other parts of Databricks as needed for rapid resolution.
  • 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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