Decide what the platform measures — which usage events matter and the level of detail, down to the individual user and feature — and define for engineering what to instrument, why, and how the data should behave, captured in real time.
Keep usage data accurate and complete, aggregated from the individual user up to the account and organization level.
Integrate usage data with the line-of-business systems that rely on it — including CRM and financial systems — so the same usage numbers stay consistent across the tools the business runs on.
Own the customer-facing views that let customers see and understand their own usage of the platform.
Extend the data to new product capabilities as they launch, working release by release with engineering to instrument new features as they ship and keep the record current.
Provide the structured usage data the business uses to report on and anticipate how usage is changing over time.
Work directly with senior product leadership, engineering, executives, and other teams to turn fast-moving needs into a system they can depend on.

3+ years in product operations, technical product management, data or analytics product management, or a similar role at a SaaS company.
Enough technical fluency to define what gets instrumented, write clear requirements for engineering, and check the results — including how usage and event data is captured, modeled, and stored.
Working knowledge of SQL and BI tools to validate data and partner with data engineering and business intelligence.
The ability to take an ambiguous question, decide what to measure to answer it, and define the level of detail it requires.
Business and commercial acumen, and the communication skills to work with senior product leadership, engineering, executives, and other teams.
Comfort building something new and carrying it through from definition to a working system.
Clear written and verbal communication, including usable documentation.
Comfort using AI tools (e.g., Claude, ChatGPT, Copilot) as part of daily work — to speed up analysis, documentation, and recurring tasks — with the judgment to check the output before acting on it.

Product Operations Specialist

Key skills