Field Technical Program Manager (TPM)

Databricks
San Francisco, CA, United States
2 days ago
Apply on startup.jobs
Prepare application

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
5 years minimum
Compensation
$156,000.0 - $214,500.0
Working hours
Regular working hours
Job source

Tech stack

Agile Methodology Artificial Intelligence Amazon Web Services Microsoft Azure Cloud Computing Information Engineering Data Governance Data Infrastructure Extract Transform Load (ETL) Data Warehousing Machine Learning Data Streaming
+6 more
Apache Spark Generative AI Data Lakes Information Technology Integration Frameworks Databricks

Job description

The TPM position understands our customers’ business goals and can steer technical projects from beginning to end with exceptional outcomes. You will start on projects after a statement of work is agreed (i.e. post-sales) and will leverage your technical expertise and project management skills to navigate customer challenges and deliver with excellence at every stage.This role serves as the essential link between the Field Engineering teams and internal groups, including Sales, Product, and Engineering., * Customer Outcomes: Own delivering customer outcomes for approximately five concurrent customer projects, ensuring high customer satisfaction

  • Project Planning: Develop detailed technical project plans from finalized proposals or statements of work setting specific milestones, objectives, and key results.
  • Project Execution & Risk Management: Drive measurable weekly progress with detailed tracking and by mitigating risks to project objectives, ensuring projects stay on track.
  • Stakeholder Management: Facilitate effective meetings across technical and non-technical stakeholders, from engineering standups to executive steering committees.
  • Leadership: Adapt to changing project requirements and priorities, proactively steering projects around challenges and collaborating across Professional Services, Engineering, and Sales teams.
  • Technical Knowledge: Leverage and expand your understanding of data platform technologies and processes, such as data lakes, data governance, data quality, ETLs, and migration best practices, to drive customer outcomes faster.
  • Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Professional Services team.

Requirements

  • Experience: 5+ years of experience in Technical Program Management, preferably in a B2B SaaS, cloud, or data engineering/analytics company.
  • Technical Background: A Bachelor’s degree in Computer Science, Engineering, or a related technical field, or equivalent practical experience. Must be comfortable diving deep into technical topics with Solution Architects and Engineers.
  • Program Management Skills: Proven ability to manage complex, cross-functional technical programs and deliver results in a fast-paced environment. Strong understanding of Agile and other program management methodologies.
  • Communication: Exceptional verbal and written communication skills, with the ability to articulate complex technical concepts to diverse audiences (from engineers to executives) and build consensus.
  • Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning)., * Certifications: PMP, CSM, or related program management certification.
  • Databricks/Spark: Hands-on experience with the Data Intelligence Platforms or Data frameworks like Apache Spark .
  • Cloud Platforms: Experience with public cloud provider solutions (AWS, Azure, or GCP).
  • Customer-Facing Experience: Prior experience in a customer-facing implementation role (e.g., Technical Project Manager, Solutions Architect, Technical Account Manager, Professional Services, Product Manager).
  • GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.

Pay Range Transparency

Benefits & conditions

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

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.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on startup.jobs
Prepare application

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

2:27 min

Managing traffic and tracking costs with Databricks Unity Catalog

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

3:24 min

The governance failures of centralized data lakes

Mario Meir-Huber · LIVE

2:34 min

Capabilities of the Apache Spark processing engine

Ayon Roy · LIVE

3:03 min

Career evolution in data engineering and AI platforms

Maria Apazoglou · Coffee With Developers

1:59 min

Key takeaways and accessing the Databricks developer toolkit

Viktoria Semaan Viktoria Semaan · World Congress 2026 Europe

1:41 min

Visualizing the complex developer journey for JVM ecosystems

Bobur Umurzokov · LIVE

Videos

See all

Related articles

See all