Product Operations Specialist, Systems and Data
Role Overview
Optimize product and engineering execution health by building and scaling tools and automated workflows.
Design systems that reduce manual data entry, streamline processes, and provide execution-health metrics.
Partner with Product Managers and Engineering Team Leads on targeted operational solutions.
Key Skills for This Role
Full Job Posting
About Intrinsic
Intrinsic is Google's AI robotics group focused on making industrial robotics intelligent, accessible, and usable.
Role Overview
Optimize product and engineering execution health by building and scaling tools and automated workflows.
Design systems that reduce manual data entry, streamline processes, and provide execution-health metrics.
Partner with Product Managers and Engineering Team Leads on targeted operational solutions.
Responsibilities
- Build automated dashboards and reports for execution health and resource allocation.
- Manage systems and automations that track work from roadmap through development, QA, and release.
- Implement AI-driven agentic workflows to automate operational work and surface insights.
- Translate stakeholder operational needs into technical tooling requirements.
- Guide teams on best practices and improve tools through feedback.
- Capture cross-team dependencies and mitigate execution risks.
- Update data structures and workflows, rewrite legacy scripts, and implement automations.
Skills Needed
- Experience managing systems, automations, and data for product, engineering, or business operations.
- Experience with automated workflows using Python, AppScript, AI tools, or similar technologies.
- Experience creating data dashboards and reports using SQL, BigQuery, Tableau, or similar tools.
- Familiarity with product requirements, planning, GitHub workflows, CI/CD, testing, QA, and release processes.
- Experience with agile methods such as Scrum and Kanban and tools such as JIRA and Confluence.
- Bachelor's degree in a technical field or equivalent industry experience.
Differentiating Skills
- Experience leveraging LLMs and AI tools such as Gemini or Claude for agentic workflows.
- Experience spanning commercial or business operations and product or engineering operations.
- Experience establishing agile processes for both hardware and software products, including robotics or automation.
- Ability to facilitate trade-off discussions among competing stakeholder needs and constraints.
Compensation
- Base salary for this full-time position is $138,400 to $188,600 USD annually.
- Compensation includes a 15% bonus, equity, and benefits.
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