Product Ops

Doppel•San Francisco, CA

5d•Onsite

About The Position

Doppel is seeking a Product Operations Manager to drive operational excellence across Product, Engineering, Data/ML, and Customer teams to help scale an AI-native security platform. This role involves transforming ambiguous problems into repeatable processes, enhancing product development and launch procedures, surfacing insights from data and customer feedback, and ensuring teams have the operational foundation for rapid execution. The ideal candidate will focus on improving execution, creating scalable processes, empowering product teams with data and insights, and ensuring successful product delivery.

Requirements

Proven track record improving cross-functional product operations and driving strategic initiatives in fast-moving environments.
Strong analytical and technical fluency (SQL, APIs, product analytics, data pipelines, ML concepts) to identify opportunities, measure outcomes, and inform product decisions.
Excellent at designing scalable processes for roadmap planning, product launches, feedback loops, prioritization, and cross-functional execution.
Relentless about operational excellence: identifies bottlenecks, streamlines workflows, and enables Product and Engineering teams to move faster.
Metrics-driven: defines KPIs, builds dashboards, synthesizes customer and business insights, and ensures product decisions are backed by data.
Clear, direct communicator who aligns Product, Engineering, Go-to-Market, and Leadership around priorities, execution, and measurable business outcomes.

Responsibilities

Drive operational excellence across Product, Engineering, Data/ML, and Customer teams.
Turn ambiguous problems into repeatable processes.
Improve how products are built and launched.
Surface insights from data and customers.
Ensure teams have the operational foundation to execute quickly.
Design scalable processes for roadmap planning, product launches, feedback loops, prioritization, and cross-functional execution.
Identify bottlenecks, streamline workflows, and enable Product and Engineering teams to move faster.
Define KPIs, build dashboards, synthesize customer and business insights, and ensure product decisions are backed by data.
Align Product, Engineering, Go-to-Market, and Leadership around priorities, execution, and measurable business outcomes.