Product Operations Manager

Here’s a summary of the role:     Data is only powerful when everyone agrees what it means.     We’re revamping how we measure success and end user value delivery across our portfolio of products, and this role sits at the centre of it — the person who makes one number mean the same thing in every room, the person who builds the data foundations that drive actionable behavioural insights.   As our Lead for Product Data & Telemetry, you’ll design the single source of truth for how we measure our products: the metric definitions, the telemetry standards and the governance model that every dashboard, business review and roadmap is built on.   You’ll define the data contract that engineering teams instrument against, and build the models that turn raw product telemetry into portfolio-level insight — with federated data governance as the operating principle rather than an afterthought.   AWS/Snowflake is our warehouse spine. The capture and BI layers are open decisions and you will help make them, so you are joining early enough to choose the tools rather than inherit them.   The work has a short route to the top. Your models feed the monthly and quarterly business reviews that our executive team, our CTO and our investors use to run the portfolio. Not many roles at this level sit that close to the decisions.   This is sponsored at executive level, and engineering teams will instrument against the contract you define. You will not be writing standards into a vacuum.   This is a hands-on senior individual-contributor role for someone who thinks in schemas, metrics, definitions and governance — you can write clean SQL, design an event schema, and hold a standard across teams you don’t manage.   The ambition is world class: a governed telemetry and product-analytics capability strong enough to run a 30-product portfolio on, and you are at the centre of building it.   You’ll sit at the centre of the Product Operations function, working shoulder to shoulder with product, engineering, data and analytics leaders — and your work will shape how the company sees its own products.  Here’s what your first twelve months should look like:  First 90 days. Learn the estate and meet the engineers who instrument it. Agree the measurement model for one product end to end and put a defensible adoption number in front of the business. One narrow, visible win before we scale anything.  Three to six months. Data contract published, instrumentation specification landed with engineering, and the first business unit building against it. Definitions, naming and change control in place and governed.  Six to twelve months. The model rolling out across the remaining business units through the BU-aligned analysts, portfolio adoption and value reporting running on your numbers, and the tooling decisions made and implemented.  Here’s ...