---
title: 'Staff Product Manager, Serverless Workspaces at Databricks'
canonical: 'https://feeny.ai/job/staff-product-manager-serverless-workspaces-databricks-seattle-sf27t7cb0f3f'
type: 'job'
last_seen: '2026-10-17'
---

# Staff Product Manager, Serverless Workspaces at Databricks

- **Company:** Databricks
- **Location:** Seattle, WA
- **Compensation:** $173k–$237k
- **Posted:** 2026-02-18
- **Last confirmed live:** 2026-10-17
- **Apply:** https://databricks.com/company/careers/open-positions/job?gh_jid=8427954002

## Job description

RDQ427R275

Location: San Francisco or Seattle

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:

The Serverless Workspaces team is the engine behind Databricks' shift from a "configure-first" to a "use-now" platform. We are redefining the customer onboarding experience by removing the heavy lifting of cloud infrastructure without complicated networking, storage, and cluster configuration, just instant access to data and AI.

Our mission is to deliver "Workspaces in Seconds." We are building the invisible infrastructure that allows any use (not just infrastructure or IT teams) to spin up a fully governed, secure, and compliant Databricks environment instantly. You will own the strategy for this next-generation platform layer, balancing the simplicity of a SaaS experience with the control enterprise customers demand.

The impact you will have:

- Drive the transition to Serverless: You will lead the strategy to unify the journey to onboard to serverless and classic workspaces and drive 10X usage of serverless in the next year
- Democratize Workspace Creation: You will design and ship flows that allow users to spin up workspaces instantly with little friction while maintaining strict governance guardrails and company policies
- Redefine the "Getting Started" experience: You will lower the barrier to entry by removing the requirement for customers to manage detailed cloud infrastructure configurations before using Databricks but allowing them dial those in when they’re ready
- Solve "Workspace Proliferation": As creating workspaces becomes easier, you will help define the tools and policies that allow Admins to confidently govern increased amounts of workspaces across the enterprise
- Unify the Data Estate: You will work closely with the Unity Catalog and Identity teams to ensure that these new serverless environments seamlessly integrate with a customer’s existing data and security models.

What we look for:

- 7+ years of experience as a Product Manager working on cloud infrastructure, developer platforms, or SaaS foundations.
- Technical depth in Cloud Infrastructure: Familiarity with AWS, Azure, or GCP resource management (e.g. networking, compute, identity) and how to abstract that complexity for end-users.
- Passion for simplification: You have a track record of taking complex technical workflows (like configuring a VPC or peering) and turning them into "one-click" consumer-grade experiences.
- Data-driven mindset: You are comfortable defining and tracking KPIs, such as "Time to First Workspace" or "Serverless Adoption Rate," to measure success.

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](https://www.databricks.com/sites/default/files/2024-08/us-pay-zone-mapping.pdf).

Zone 2 Pay Range $172,600—$237,325 USD

## 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](https://www.linkedin.com/company/databricks), [X](https://x.com/databricks), [YouTube](https://www.youtube.com/@Databricks), and [Instagram](https://www.instagram.com/databricksinc/?hl=en).

## 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](https://docs.google.com/document/d/154un3e8Xav4BceOSlcYFZRGEuQI54xMxVydRwQn54eQ/edit?usp=sharing).

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.

## About Databricks

## Company Overview
- **One-liner**: Databricks provides a unified data and AI platform built on an open lakehouse architecture, enabling organizations to manage data, analytics, and AI at scale.
- **Entity Type**: Private (late-stage, last reported valuation ~$43B in 2021, but current valuation not publicly disclosed)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Original creators of Apache Spark™, Delta Lake, MLflow, and Unity Catalog (co-founders include Ali Ghodsi, Matei Zaharia, Ion Stoica, Patrick Wendell, Reynold Xin, among others)

## Core Business
- Primary industry: Data & AI Platform / Enterprise Software
- Target customers: B2B – Enterprise, SMB, and government organizations; over 20,000 customers worldwide, including 70% of the Fortune 500
- Mission: “Simplify and democratize data and AI, helping data and AI teams solve the world’s toughest problems.” [databricks.com](https://www.databricks.com/company/about-us)

## Products & Services
- **Databricks Data Intelligence Platform**: Unified platform for data engineering, data warehousing, data science, machine learning, and AI. It integrates open-source technologies like Apache Spark, Delta Lake, MLflow, and Unity Catalog.
- **Lakebase**: Serverless Postgres database integrated with the lakehouse, built for the AI era.
- **Genie**: AI-powered natural language assistant for data insights and querying.
- **Agent Bricks**: Tools for building AI agents that continuously improve quality and accuracy on an organization’s data.
- **Additional offerings**: Data warehousing, business intelligence, governance, data engineering, and AI/ML services.

## Market Standing
- **Valuation/Market Cap**: Not publicly available (private company; last reported valuation of $43B in 2021 from a Series I round, but no recent official disclosure)
- **Key Metric**: Over 10,000 employees; 20,000+ customers; 70% of Fortune 500; 1,200+ global partners [databricks.com](https://www.databricks.com/)
- **Notable Investors/Partners**: Not explicitly listed in search results, but known investors include Andreessen Horowitz, Tiger Global, Microsoft, and others. Partners include major cloud providers (AWS, Azure, GCP) and consulting firms.
- **Growth Signals**: Headcount of 10,000+ employees; offices in 30+ locations across 20+ countries; 5x Leader in Gartner® Magic Quadrant™ Reports; LinkedIn job postings growing 26.7% year-over-year (783 active positions) [linkedin.com](https://www.linkedin.com/company/databricks)

## Competitive Advantages
- **Open lakehouse architecture**: Combines data lake and data warehouse capabilities with open-source standards, avoiding vendor lock-in.
- **Founding team behind Apache Spark, Delta Lake, MLflow**: Deep technical credibility and active open-source community.
- **Unified platform**: Single solution for data engineering, analytics, and AI, reducing complexity for enterprises.
- **Strong data governance**: Unity Catalog provides centralized access control and lineage.
- **AI-native**: Built-in AI capabilities (Genie, Agent Bricks) that leverage an organization’s own data.

## Strategic Focus
- Expanding AI capabilities with natural language interfaces and autonomous agents.
- Deepening integrations with cloud providers and open-source ecosystems.
- Scaling enterprise sales and global footprint (30+ offices, focus on EMEA and APAC).
- Cultivating a developer and data science community through university programs and open-source contributions.

## Why Work Here
- **Culture**: Described as “innovators, builders and truthseekers” with a focus on solving hard technical problems. Emphasizes inclusion, diversity, and equity, including closing the pay gap and removing unconscious bias from recruitment. [databricks.com](https://www.databricks.com/company/careers)
- **Work Environment**: Hybrid/flexible work model; benefits and perks include health, well-being, and flexible ways of working. Offices in major cities globally.
- **Engineering Culture**: Strong emphasis on open-source, AI, and data infrastructure. Opportunities for interns and new grads to contribute to core platform. Hackathons, board game nights, and social events.
- **Growth**: Fast-growing company (10,000+ employees, 20,000+ customers) with ambitious scaling plans, offering career advancement in engineering, sales, product, and more.

## Sources
1. [Databricks About Us](https://www.databricks.com/company/about-us)
2. [Databricks Careers](https://www.databricks.com/company/careers)
3. [Databricks Homepage](https://www.databricks.com/)
4. [Databricks LinkedIn](https://www.linkedin.com/company/databricks)

## Other roles at Databricks

- [Sr. Public Relations Manager](https://feeny.ai/job/sr-public-relations-manager-databricks-san-francisco-r536snhxnwv8) — San Francisco, CA
- [Manager, Delivery Solutions Architects - Healthcare & Life Sciences (HLS)](https://feeny.ai/job/manager-delivery-solutions-architects-healthcare-life-sciences-hls-databricks-ag5x76znwxg5) — United States
- [Candidate Experience Admin (6-month contract)](https://feeny.ai/job/candidate-experience-admin-6-month-contract-databricks-bellevue-r0qd2dayrqft) — Bellevue, WA / Seattle, WA
- [Named Core Account Executive, Health Insurance](https://feeny.ai/job/named-core-account-executive-health-insurance-databricks-amsterdam-08hw99rk69de) — Amsterdam, Netherlands
- [Named Core Account Executive, Finland](https://feeny.ai/job/named-core-account-executive-finland-databricks-finland-kz2stq58186y) — Finland
- [Product Finance Senior Manager, Cloud Platform Costs & Operations](https://feeny.ai/job/product-finance-senior-manager-cloud-platform-costs-operations-databricks-k1bhvkd9cdgw) — Mountain View, CA / San Francisco, CA / Seattle, WA
- [Product Finance Director, R&D Capital Allocation & Engineering Operations](https://feeny.ai/job/product-finance-director-r-d-capital-allocation-engineering-operations-r4a6y6wqknc2) — Mountain View, CA / San Francisco, CA / Seattle, WA
- [Product Finance Director, AI Products & GPU Investment Strategy](https://feeny.ai/job/product-finance-director-ai-products-gpu-investment-strategy-databricks-8t79c94c57ry) — Mountain View, CA / San Francisco, CA / Seattle, WA
- [Lead Solutions Architect - Generative AI (EMEA Emerging DNB)](https://feeny.ai/job/lead-solutions-architect-generative-ai-emea-emerging-dnb-databricks-germany-bw3kgz25njye) — Germany
- [Lead Solutions Architect - Generative AI (EMEA Emerging DNB)](https://feeny.ai/job/lead-solutions-architect-generative-ai-emea-emerging-dnb-databricks-france-eevjy22t559g) — France