Staff Product Operations Lead, Marketplace Operations

Posted 20 Hours Ago
Be an Early Applicant
2 Locations
In-Office
167K-230K Annually
Senior level
Big Data • Machine Learning • Software • Analytics • Big Data Analytics
The Role
Own and scale Databricks Marketplace operations, including partner onboarding, transaction approvals, catalog integrity, marketplace health, deal desk support, and retention initiatives. Build automations, AI-assisted workflows, and operational tools using Python and related technologies. Coordinate with Product, Engineering, Sales, Marketing, and Field teams to improve marketplace performance, reduce friction, and support go-to-market growth. This individual contributor role may eventually build and lead a team.
Summary Generated by Built In

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.


Local Pay Range
$167,000$229,550 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, 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.

Skills Required

  • 8+ years of operational leadership experience in Business Operations, Product Operations, Technical Program Management, or similar technology environments
  • Hands-on experience designing and shipping automations or operational tools using Python, low-code or RPA platforms, workflow platforms, AI, LLMs, or agent tooling
  • Experience owning end-to-end operational processes, approval gates, and quality control systems
  • Strong cross-functional collaboration and leadership across Product, Engineering, Sales, and Field organizations
  • Exceptional organizational skills, attention to detail, and ability to maintain 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 during high growth
  • Familiarity with software commercial structures, Deal Desk operations, or strategic partner go-to-market programs
  • Experience adopting AI coding tools, such as Claude Code or AI agents

Databricks Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.

  • Healthcare Strength Company materials highlight comprehensive medical, dental, and vision coverage alongside mental-health resources, wellness reimbursements, and business travel insurance. Offerings are described as broad and modern, with core health coverage consistently emphasized.
  • Parental & Family Support Paid parental leave is explicitly called out, with details such as up to 20 weeks for birthing parents and up to 12 weeks for non-birthing parents in the U.S. Public materials also reference family-forming support, reinforcing the focus on families.
  • Wellbeing & Lifestyle Benefits Wellness programs and perks include gym reimbursement, periodic wellness events (e.g., yoga, massages), and in-office meals and snacks in many locations. Personal development funds and discounts further enhance lifestyle and growth support.

Databricks Insights

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The Company
HQ: San Francisco, CA
2,200 Employees
Year Founded: 2013

What We Do

As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.

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