Strategic Overview
Staff Product Operations Lead, Marketplace Operations at Databricks is a product opportunity centered on the specialist responsibilities and outcomes described in the employer's listing.
The published role emphasizes work such as Architect, manage, and scale end-to-end operational workflows for partner eligibility and onboarding, transaction approvals, catalog health, and featured listing placements. Own the health and integrity of the Marketplace: monitor key signals, establish…
The role is listed for Mountain View, California / San Francisco, California with the working arrangement published with the role, giving candidates the practical context needed to assess fit before applying.
Key information at a glance
About This Role
P-1495
About Databricks
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 —…
Key Responsibilities & Objectives
- Architect, manage, and scale end-to-end operational workflows for partner eligibility and onboarding, transaction approvals, catalog health, and featured listing placements.
- Own the health and integrity of the Marketplace: monitor key signals, establish quality controls, and support Deal Desk on complex commercial transactions.
- Design and deploy custom tools, automations, and AI-assisted workflows (leveraging Python, low-code tools, workflow platforms, or agentic AI) to reduce operational friction and accelerate throughput.
- Drive retention campaigns and cross-functional operational cadences aligned with Product, Engineering, Sales, and Field teams.
Required Qualifications & Candidate Blueprint
- Demonstrated "builder" capability: hands-on experience designing and shipping automations or operational tools using a mix of Python, low-code/RPA platforms, workflow platforms, or modern AI, LLM, and agent tooling.
- Proven track record of full operational ownership over end-to-end processes, approval gates, and quality control systems rather than pure analytical reporting.
- Strong cross-functional collaboration and leadership skills, with a history of aligning priorities across Product, Engineering, Sales, and Field organizations.
Salary & Benefits
Published compensation: $167,000 – $229,550 USD
- Architect, manage, and scale end-to-end operational workflows for partner eligibility and onboarding, transaction approvals, catalog health, and featured listing placements.
- Own the health and integrity of the Marketplace: monitor key signals, establish quality controls, and support Deal Desk on complex commercial transactions.
Full Job Description
The following is the complete job description supplied by the source. We sanitize unsafe markup and remove external links, but do not shorten or rewrite the employer's source content.
P-1495
About Databricks
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 solve 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.
The Role
As enterprise AI adoption accelerates globally, the Databricks Marketplace serves as a core engine for third-party innovation, enabling organizations to discover, share, and commercialize data assets, AI models, and applications. We are looking for an Operations Lead to own and scale the end-to-end operational engine behind our Marketplace. In this high-visibility position, you will establish operational excellence across partner and transaction approvals, marketplace health, deal desk support, catalog integrity, and partner and customer retention initiatives.
This role is for a hands-on builder who is as comfortable running operations as building the tools behind them. Beyond running day-to-day workstreams, you will actively architect and deploy tools, automations, and AI-driven workflows to scale the platform. Partnering cross-functionally across Product, Engineering, Sales, Marketing, and Field leadership, you will remove friction, shape our Marketplace product, and help guide our go-to-market direction. This is an individual-contributor role today, with the opportunity to build and lead a team as the Marketplace scales.
The Impact You’ll Have
- Architect, manage, and scale end-to-end operational workflows for partner eligibility and onboarding, transaction approvals, catalog health, and featured listing placements.
- Own the health and integrity of the Marketplace: monitor key signals, establish quality controls, and support Deal Desk on complex commercial transactions.
- Design and deploy custom tools, automations, and AI-assisted workflows (leveraging Python, low-code tools, workflow platforms, or agentic AI) to reduce operational friction and accelerate throughput.
- Drive retention campaigns and cross-functional operational cadences aligned with Product, Engineering, Sales, and Field teams.
- Partner on go-to-market efforts, driving transaction pipeline growth and strategic partner and customer deals.
What We're Looking For
- Minimum Qualifications
- 8+ years of operational leadership experience across Business Operations, Product Operations, Technical Program Management, or scaling operational functions within a fast-paced technology environment.
- Demonstrated "builder" capability: hands-on experience designing and shipping automations or operational tools using a mix of Python, low-code/RPA platforms, workflow platforms, or modern AI, LLM, and agent tooling.
- Proven track record of full operational ownership over end-to-end processes, approval gates, and quality control systems rather than pure analytical reporting.
- Strong cross-functional collaboration and leadership skills, with a history of aligning priorities across Product, Engineering, Sales, and Field organizations.
- Exceptional organizational skills, strong attention to detail, and the ability to move fast and keep a high bar for accuracy in ambiguous situations.
- Direct experience with enterprise software marketplaces, two-sided platform ecosystems, or cloud commerce environments.
- Preferred Qualifications
- 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.
- Experience quickly adopting next-generation AI coding tools (e.g., Claude Code, AI agents) to streamline personal or team productivity.
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.
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, X, YouTube, and Instagram.
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.
Editor’s Market Perspective (Our Custom Analysis)
Why This Position Matters
This product opening is a useful opportunity for candidates whose experience matches the role-specific capabilities named in the listing. Its strongest career signal is the scope of the work itself — particularly Architect, manage, and scale end-to-end operational workflows for partner eligibility and onboarding, transaction approvals, catalog health, and featured listing placements. — rather than a generic title alone.
Resume & Application Strategy
For the application, mirror the employer's language where it truthfully matches your background: foreground the role-specific capabilities named in the listing, quantify outcomes from comparable work, and place the most relevant experience near the top of the resume. If the listing specifies tools, platforms, leadership scope, or domain experience, use those exact terms in context instead of presenting an unrelated keyword list.
We organize source-provided information into this independent job-seeker overview. Compensation is shown only when the source provides it; the official listing remains the authority for current requirements and application instructions.