Sr. Product Manager - Technical

RDQ
427R180

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.

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
:

You will help shape our transactional database capabilities to meet the performance, reliability, and scalability requirements of modern applications and AI agents.

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).

• 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

• 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

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

$139,900 — $195,850 USD

Databricks is the data and AI company. More than 10,000 organizations…