About the role
P-1587 As a Product Operations Manager, you will own and run the operational backbone of a fast-growing part of our business, and build the automation that lets it scale. You sit between our field, product, engineering, and go-to-market teams, and you turn fast-moving, high-growth work into operations that are reliable and repeatable. This role is equal parts operator and builder. You will own complex operational processes end to end and, at the same time, design and build the tools, workflows, and automations that remove manual work so a lean team can do far more. You are comfortable owning ambiguous, high-stakes operations. You bring operational rigor, you build, and you make things scale. Responsibilities Own an operational domain end to end: design the process, run it, set the SLAs and quality bar, and keep it reliable as volume grows. Build automations, tools, and workflows (scripting, low-code, RPA, and AI or agent tooling) that eliminate manual work and let the team scale without adding headcount. Turn ambiguous, manual, or ad-hoc work into standardized, well-documented, repeatable processes. Analyze data from multiple sources to surface issues, set priorities, and inform decisions. Build the reporting and dashboards that give leadership real-time visibility into operational health. Partner across product, engineering, sales, marketing, and field teams to align on priorities and remove operational friction. Deliver in ambiguous, fast-moving conditions with incomplete data, and bring the operational rigor that makes the work repeatable. Champion Databricks principles: be customer obsessed, be data-driven, teamwork makes the dream work, and own it. Competencies / Requirements 5+ years in product operations, business operations, revenue or GTM operations, or a business/data analyst role with clear operational ownership. A builder. You have shipped automations, tools, or workflows with real operational impact, using some mix of Python, low-code or RPA (for example Power Automate or KNIME), Apps Script, workflow platforms, or AI, LLM, and agent tooling. You do not need to be a software engineer, but you do need to build, and to pick up new tools like Claude Code quickly. Strong operational ownership. You have run a process or system end to end (approvals, onboarding, quality controls, or an operating cadence), not only analyzed it. Working SQL, plus hands-on experience building dashboards and reporting (Power BI, Tableau, or similar). Excellent communication. Comfortable working with executives and distilling complex work into clear messaging. Enterprise software background. SaaS and B2B experience required. Comfortable moving fast while holding a high bar for detail and quality. Entrepreneurial, "can do" attitude. 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.BenefitsAt 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.
What you’ll bring
- P-1587 As a Product Operations Manager, you will own and run the operational backbone of a fast-growing part of our business, and build the automation that lets it scale.
- You sit between our field, product, engineering, and go-to-market teams, and you turn fast-moving, high-growth work into operations that are reliable and repeatable.
- This role is equal parts operator and builder.
- You will own complex operational processes end to end and, at the same time, design and build the tools, workflows, and automations that remove manual work so a lean team can do far more.
- You are comfortable owning ambiguous, high-stakes operations.
- You bring operational rigor, you build, and you make things scale.
- Responsibilities Own an operational domain end to end: design the process, run it, set the SLAs and quality bar, and keep it reliable as volume grows.
- Build automations, tools, and workflows (scripting, low-code, RPA, and AI or agent tooling) that eliminate manual work and let the team scale without adding headcount.
Skills connected to this role
- SQL
- Python
- Tableau
- Power BI
- Excel
- AI
- Marketing
- Communication
- Leadership
Application source
This opportunity was collected from the employer-hosted Greenhouse board. CarrerFit is an independent career platform and is not the hiring employer.