Staff Product Operations Lead, Marketplace Operations
Databricks Mosaic · Mountain View, California; San Francisco, California · San Francisco, California
CHECKED 14H AGO
Infrastructureonsitestaff$167k–$230k
At a glance
Highlights
- Own and scale end-to-end operations powering Databricks Marketplace growth.
- Ensure catalog health and integrity across data, models, and apps.
- Shape go-to-market direction for third-party innovation at global scale.
What they offer
- annual performance bonus
- equity
- comprehensive benefits
Ideal candidate
A hands-on builder-operator who thrives in ambiguity and loves creating order at scale. You care about marketplace health, partner success, and using automation to remove friction across product and go-to-market teams.
Requirements
- 8+ years of operational leadership experience across Business Operations, Product Operations, Technical Program Management, or scaling operational functions in a fast-paced technology environment
- Hands-on builder capability designing and shipping automations or operational tools using Python, low-code/RPA, workflow platforms, or modern AI, LLM and agent tooling
- Proven track record of full ownership over end-to-end processes, approval gates, and quality control systems rather than pure analytical reporting
- Strong cross-functional collaboration and leadership skills aligning priorities across Product, Engineering, Sales, and Field organizations
- Exceptional organizational skills, strong attention to detail, and ability to move fast with high accuracy in ambiguous situations
- Direct experience with enterprise software marketplaces, two-sided platform ecosystems, or cloud commerce environments
- Experience scaling a marketplace, platform, or commerce operation through a high-growth phase
- Familiarity with software commercial structures, Deal Desk operations, or strategic partner GTM programs
Lab profile
About Databricks Mosaic
Builds unified data analytics and AI platform to productionize AI applications.
What they build
- Databricks platform
- Unified Data Analytics and AI
- AI platform
Known for
- Forward-deployed AI engineering
- Productionizing first-of-kind AI applications
- Customer platform adoption and scale
- Cross-functional engineering and product collaboration