CSQ227R54

At Databricks, our core principles are at the heart of everything we do; creating a culture of proactiveness and a customer-centric mindset guides us to create a unified platform that makes data science and analytics accessible to everyone. We aim to inspire our customers to make informed decisions that push their business forward. We provide a user-friendly and intuitive platform that makes it easy to turn insights into action and fosters a culture of creativity, experimentation, and continuous improvement. You will be an essential part of this mission, using your technical expertise to demonstrate how our Data Intelligence Platform can help customers solve their complex data challenges. You'll work with a collaborative, customer-focused team that values innovation and creativity, using your skills to create customized solutions to help our customers achieve their goals and guide their businesses forward. Join us in our quest to change how people work with data and make a better world!

This Technical Program Manager (TPM) role is part of the Field Engineering (FE) organization, the technical arm of Databricks’ customer-facing teams.

The core function of this role is to drive and manage complex, high-impact technical programs that originate from the field (customer-facing teams) and require significant cross-functional coordination. This role serves as the essential link between the Field Engineering teams and internal groups, including Product, Engineering, Field Engineering, and Sales.

Ultimately, the TPM is responsible for managing the lifecycle of strategic initiatives, from building new technical assets and frameworks to synthesizing field feedback to influence the product roadmap.

Key Responsibilities

Program Lifecycle Management: Own the end-to-end execution of strategic Field Engineering programs, from initial concept and requirements gathering through to delivery, measurement, and post-launch optimization.
Cross-Functional Leadership: Serve as the primary driver and connector for complex initiatives. Lead cross-functional working groups, align stakeholders, and ensure clear communication on timelines, risks, and dependencies with teams like Product Management, Engineering, Solution Architects, and Sales.
Field Enablement & Scaling: Manage programs focused on scaling the Field Engineering organization. This includes the development and rollout of new technical assets (e.g., ML & GenAI solutions), Solution Accelerators, best-practice frameworks, and reference architectures for customer implementation of Databricks products.
Voice of the Field: Establish and manage programs to systematically collect, analyze, and synthesize technical feedback and requirements from the Field Engineering team, providing a unified "voice of the field" to Product and Engineering and influencing product roadmaps.
Risk & Dependency Management: Proactively identify, track, and mitigate technical risks, blockers, and dependencies. Resolve ambiguity and drive solutions to complex technical and business challenges.
Stakeholder Communication: Define and manage the communication plan. Provide clear, concise, and regular updates on program status, milestones, and success metrics to senior leadership and key stakeholders.
Process Improvement: Define and implement new processes and operational cadences to improve the efficiency and effectiveness of the Field Engineering organization.

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.
Stakeholder Management: Demonstrated experience in managing and influencing senior stakeholders, navigating competing priorities, and driving alignment across multiple organizations.
Domain Knowledge: Foundational knowledge of the data and AI landscape (e.g., data warehousing, data lakes, ETL, streaming, data science, machine learning).

Preferred Qualifications

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 technical role (e.g., Solutions Architect, Technical Account Manager, Professional Services, Product Manager).
GenAI/ML Experience: Experience delivering programs related to AI, Machine Learning, or Generative AI.
Certifications: PMP, CSM, or related program management certification.

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 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

$128,500—$179,875 USD

Zone 2 Pay Range

$115,700—$161,900 USD

Zone 3 Pay Range

$109,200—$152,850 USD

Zone 4 Pay Range

$102,800—$143,900 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, please visit https://www.mybenefitsnow.com/databricks.

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.

Staff Project Manager, Professional Services