Sr. Field Technical Program Manager, Forward Deployed Engineering - Databricks Skip to main content Login Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Explore the Databricks partner ecosystem Partner Spotlight Featured partner announcements Partner Program Explore
benefits, tiers and how to become a partner Cloud Providers Databricks on AWS, Azure and GCP Find a Partner Discover Databricks partners for your needs Partner Solutions Find custom industry and migration solutions Product Databricks Platform Platform Overview A unified platform for data, analytics and AI Data Engineering ETL and orchestration for batch and streaming data Application Development Quickly build secure data and AI apps Data Warehousing Serverless data warehouse for SQL analytics Artificial Intelligence Build and deploy ML and GenAI applications Database Postgres for data apps and AI agents Business Intelligence Intelligent analytics for real-world data Governance Unified governance for all data, analytics and AI assets Business Productivity Unified search, chat, dashboards and apps Security Open agentic SIEM built for the AI era Customer Data Platform Agentic CDP embedded in Databricks Sharing Open data sharing for data, analytics and AI Integrations and Data Marketplace Open marketplace for data, analytics and AI IDE Integrations Build on the Lakehouse in your favorite IDE Partner Connect Discover and integrate with the Databricks ecosystem Pricing Databricks Pricing Explore product pricing, DBUs and more Cost Calculator Estimate your compute costs on any cloud Open Source Open Source Technologies Learn more about the innovations behind the platform Solutions Databricks for Industries Telecommunications Media and Entertainment Financial Services Public Sector Healthcare & Life Sciences Retail Manufacturing See All Industries Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Migration & Deployment Data Migration Forward Deployed Engineering Solution Accelerators Explore Accelerators Move faster toward outcomes that matter Resources Learning Training Discover curriculum tailored to your needs Databricks Academy Sign in to the Databricks learning platform Certification Gain recognition and differentiation Free Edition Learn professional Data and AI tools for free University Alliance Want to teach Databricks? See how. Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog Explore news, product announcements, and more AI Blog Explore our AI research and engineering work Data Brew Podcast Let’s talk data! Champions of Data + AI Podcast Insights from data leaders powering innovation Get Help Customer Support Documentation Community Dive Deep Resource Center Demo Center Architecture Center About Company
Who We Are Our Team Databricks Ventures Contact Us Careers Working at Databricks Open Jobs Press Awards and Recognition Newsroom Security and Trust Security and Trust Ready to get started? Get a Demo Login Contact Us Try Databricks Overview Culture
Benefits Diversity Engineering Research Students & new grads Back to search results Sr. Field Technical Program Manager, Forward Deployed Engineering United States Apply now CSQ327R216 As a Sr. Field Technical Program Manager (TPM) role in our Forward Deployed Engineering team, you will play a pivotal role in delivering complex technical projects that drive customer success and our business growth. Forward Deployed Engineering is part of the Field Engineering (FE) organization, the technical arm of Databricks’ customer-facing teams. 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. Key
Responsibilities 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. Minimum
Qualifications 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). Preferred
Qualifications 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 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 About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter , LinkedIn and Facebook .
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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Application Development Artificial Intelligence Business Intelligence Business Productivity Customer Data Platform Data Engineering Data Warehousing Database Governance Security Sharing Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company
Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust About Company
Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust Databricks Inc. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2026 . All rights reserved. Apache, Apache Spark, Spark, the Spark Logo, Apache Iceberg, Iceberg, and the Apache Iceberg logo are trademarks of the Apache Software Foundation . Privacy Notice | Terms of Use | Modern Slavery Statement | California Privacy | Your Privacy Choices
Salary
$124,800 - $214,500
Location
United States
Total raised
$130.0M
Last stage
Series B
Investors
No applications, no recruiter spam. Just the intro.
A few questions to make sure this role is the right shape for you. Two minutes.
I write the intro, send it to the founder, and handle the back-and-forth.
If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.