RDQ427R180

At Databricks, we are passionate about enabling data teams to solve the world’s toughest problems — from making the next mode of

transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world’s

best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by

engineers — and customer obsessed — we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for

interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting

started.

MORE ABOUT THE TEAM:

As a Technical Product Manager, you will work closely with product managers, engineering teams, and technical field organizations

to ensure the features we design and ship deliver outstanding user experiences. This role requires you to deeply understand

both functional and non-functional requirements, such as performance, scalability, security, and compliance and how customers meet

these requirements today. You will evaluate how these workloads are implemented on the Databricks Data Intelligence Platform and

identify opportunities to improve the product experience.You will act as a bridge between technical field teams and product and

engineering. Insights from customer PoCs, benchmarks, and real-world implementations will directly inform product decisions. You

will also help ensure that product improvements are clearly communicated back to the field.

Depending on your background, you will focus on one of two critical product areas:

OLTP DATABASES

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of

modern applications and AI agents.

DATA GOVERNANCE

You will help ensure data assets are governed effectively, enabling controlled access, compliance, and visibility across the

organization. This includes enabling governed access for AI-driven use cases (e.g. agent-based access via MCP or similar

technologies).

THE IMPACT YOU WILL HAVE:

Identify and drive impactful product improvements in your domain of expertise
Define and run performance benchmarks (OLTP focus) or governance best practices and reference architectures (governance focus)
Shape and prioritize a meaningful product roadmap
Support go-to-market efforts and guide product adoption
For governance focus: define processes and mechanisms for how AI agents securely and compliantly access the Databricks Data

Intelligence Platform

WHAT WE LOOK FOR:

5+ years of experience with a strong, hands-on technical background
Strong empathy for customers across full spectrum of Data Platform users
Deep domain expertise in one of the following:
Transactional databases (OLTP), cloud-native databases, or distributed systems
Data governance, data catalogs, lineage, and access management

Experience evaluating and comparing technologies across dimensions such as performance, reliability, governance, and compliance
Strong Python and SQL skills
Experience using AI-assisted development tools
Experience with systems design and architecture
Proven ability to work effectively across product, engineering, and technical field teams

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

$156,600—$215,250 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.

Role

Sr. Product Manager - Technical

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