Technical Program Manager, FDE

Posted One Month Ago
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Munich, Bayern, DEU
In-Office
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Lead a portfolio of complex, high-visibility technical programs for Databricks Professional Services. Responsibilities include aligning programs with customer objectives, coordinating technical milestones and dependencies, driving delivery excellence, leading technical delivery discussions, improving processes, integrating AI tools into workflows, and mentoring junior technical program managers. PMP and Databricks Associate-level certifications are required within six months of hire.
Summary Generated by Built In

CSQ327R264

At Databricks, we aim to inspire our customers to make informed decisions through an intuitive platform. As a PS Technical Program Manager, you lead the success of a portfolio of complex programs and drive the continuous evolution of our delivery excellence. You are a senior leader within the PS practice, entrusted with high-visibility, large-scale engagements. Your focus is on delivering superior results and setting the standard for how we empower our customers to achieve their most ambitious data goals.

The Impact You Will Have

  • Portfolio Success: Own and lead a portfolio of highly complex, high-visibility programs, ensuring they remain perfectly aligned with strategic customer objectives.
  • Operational Excellence: Drive innovation and efficiency across the PS team to deliver increasingly better results for the Business Unit.
  • Strategic Alignment: Proactively coordinate technical milestones and program-level dependencies across multiple concurrent engagements.
  • Leadership Hub: Act as the primary lead for complex technical delivery discussions, collaborating with M5-level managers to ensure rapid and successful project momentum.
  • Mentorship: Elevate the entire team by mentoring junior TPMs and refining delivery processes to scale our global impact.

What We Look For

  • Experience: 5–8 years managing complex technical programs.
  • Technical Bar: Intermediate technical fluency; 1 Databricks Associate-level Certification required within 6 months of hire.
  • AI Proficiency: Demonstrated ability to integrate AI tools into program management workflows to drive operational performance.
  • Process Innovation: A track record of enhancing delivery standards and implementing changes that improve operational performance.
  • Mandatory Certifications: PMP Certification (Project Management Professional) required within 6 months of hire.

About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.

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.

Skills Required

  • 5–8 years managing complex technical programs
  • Intermediate technical fluency
  • Databricks Associate-level Certification within 6 months of hire
  • Demonstrated ability to integrate AI tools into program management workflows
  • Track record of enhancing delivery standards and improving operational performance
  • PMP Certification within 6 months of hire

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength — Healthcare coverage is described as comprehensive, including medical, dental, and vision for employees and dependents, plus dedicated mental-health resources and an EAP. Wellness and gym reimbursements further support wellbeing.
  • Equity Value & Accessibility — Equity grants (RSUs/stock options) are highlighted as a major part of compensation and are often viewed as attractive. Occasional tender-offer liquidity and performance bonuses reinforce total rewards.
  • Parental & Family Support — Paid parental leave, fertility benefits, and subsidized backup dependent care are emphasized. Family medical leave and caregiver support also feature in the package.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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