Optimize execution health by building scalable systems, automated workflows, and data dashboards across the product development lifecycle.

Design, build, and maintain automated data dashboards and reporting to deliver reliable visibility into execution health and resource allocation.
Develop and run scalable systems and automations that support agile product development workflows, including end-to-end tracking from roadmap through development, QA, and release.
Experiment with and implement AI tooling (for example, Gemini) to create agentic workflows that reduce operational load and surface new business and product insights.
Partner with Product and Engineering stakeholders to describe systems and processes, interpret data for different audiences, and convert operational needs into technical tooling requirements.
Share system best practices, gather feedback, and iterate to improve internal tools.
Drive cross-team alignment so systems capture dependencies across teams and help mitigate execution risks.

Experience managing systems, automations, and data across product, engineering, and/or business operations.
Hands-on experience creating automated workflows (including Python, AppScript, AI tools, and other automation tooling).
Experience building data analysis dashboards and reports using SQL and tools such as BigQuery and Tableau.
Familiarity with the software product development life-cycle, including product requirements, feature planning breakdowns, GitHub collaboration flows, CI/CD workflows, testing, QA, and release processes.
Experience with agile development and management practices (for example, Scrum and Kanban), along with comfort using the associated tooling (for example, JIRA and Confluence).
Strong organization, time management, and analytical problem-solving skills, with adaptability when requirements are unclear or new information emerges.
Clear communication skills, including the ability to explain complex systems and interpret data for both technical and non-technical audiences.
Bachelor’s degree in a technical field or equivalent industry experience.

Experience using LLMs and AI tools (for example, Gemini and Claude) to build agentic workflows and automate manual operational tasks.
Experience at the intersection of Commercial or Business Operations and Product or Engineering Operations.
Experience working with or setting up agile processes for both hardware and software contexts (for example, robotics and automation).
Ability to facilitate alignment across competing needs, stakeholders, and constraints, including confidence in trade-off discussions.
Strong ownership, self-direction, and adaptability, with exceptional organization.

Location: Mountain View, CA (onsite)

Salary: USD 138,400 - 188,600 per year

Product Operations Specialist, Systems and Data

Job Description