Product Operations Manager
Databricks
Job description
About the role
Databricks is seeking a Product Operations Manager to own and run the operational backbone of a fast‑growing part of the business. You will bridge field, product, engineering, and go‑to‑market teams, turning high‑growth work into reliable, repeatable operations.
Key responsibilities
- Own an operational domain end‑to‑end: design processes, set SLAs, maintain reliability as volume grows.
- Build automations, tools, and workflows (scripting, low‑code, RPA, AI/LLM) to eliminate manual work and enable scaling without added headcount.
- Standardize ambiguous or ad‑hoc work into documented, repeatable processes.
- Analyze multi‑source data to surface issues, set priorities, and inform decisions.
- Create reporting and dashboards for real‑time visibility into operational health.
- Partner across product, engineering, sales, marketing, and field teams to align priorities and remove friction.
Required profile
- 5+ years in product, business, revenue, or GTM operations, or as a business/data analyst with clear operational ownership.
- Proven track record shipping automations or tools that have measurable operational impact.
- Experience running end‑to‑end processes or systems (approvals, onboarding, quality controls, operating cadence).
- Strong communication skills, comfortable working with executives and distilling complex work.
- Background in enterprise SaaS/B2B environments.
Required skills
- Python
- Low‑code platforms (e.g., Power Automate, KNIME)
- RPA tools
- Apps Script
- SQL
- Power BI or Tableau for dashboarding
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Published 3 hours ago
Expires 1 month from now
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