Field Technical Program Manager

As a Sr. Field Technical Program Manager at Databricks, you will be a key driver in our Forward Deployed Engineering team’s mission to accelerate and de-risk customer outcomes. Your role is central to achieving project goals and maintaining exceptional customer satisfaction. While you are not expected to have hands-on coding experience, your technical acumen and strategic influence will be critical for guiding complex engagements to success. You will work closely with cross-functional teams to deliver excellence at every stage., * Be responsible for the successful delivery of our most complex customer engagements by providing technical leadership and guidance to the implementation team.

• Guide technical teams through key architectural decisions, helping 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 on commitments by producing high-quality deliverables, status reports, program plans, and customer responses that require minimal rework.
• Effectively manage all aspects of a program, including 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, as needed, escalate to other parts of Databricks for rapid resolution.
• Build trust and credibility with technical teams and stakeholders by clearly articulating Databricks’ vision and solutions and facilitating productive, goal-oriented meetings.

• Technical Acumen & Decision Making: A proven ability to stay current on technology trends and make sound technical decisions without being a hands-on coder.
• Program & Project Management: Experience managing large, complex engagements and mitigating unexpected technical challenges. Familiarity with managing the trade-offs between scope, budget, and timeline.
• Communication & Leadership: Excellent communication, negotiation, and conflict resolution skills. A track record of influencing technical teams and effectively tailoring messages for different audiences, from engineers to executives.
• Experience with BI, data management, and big data technologies is preferred.
• Proven ability to multitask and manage multiple engagements while delivering a high level of customer satisfaction.

Pay Range Transparency

Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected 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 anticipated utilizing 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 here.

Zone 1 Pay Range $156,000-$214,500 USD Zone 2 Pay Range $140,400-$193,050 USD Zone 3 Pay Range $132,600-$182,400 USD Zone 4 Pay Range $124,800-$171,600 USD, 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.

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.