Product Manager, Analytics

Company: synthesia

Location: London (Remote)

Type: Full-time

Remote: Yes

Posted: 2026-04-27

About this role

Synthesia is the world’s leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US.

As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations.

Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow.

## About the role

Enterprise learning and development has always had a measurement problem. Organisations invest heavily in getting their people ready - for new roles, new products, new ways of working. What they've never been able to do well is measure whether it's actually working.

Completion rates tell you who clicked through. They don't tell you who's ready.

We're building something that changes that. Our platform gives organisations a new way to run readiness programmes - and a new kind of visibility into whether learners are genuinely progressing toward the standard they need to hit.

Analytics is the layer that makes all of that visible to the people who need to act on it. We're hiring a Product Manager to own it.

This is a role with real scope and you’ll play a key role in shaping the roadmap for this new area.

You'll work directly with the engineering manager and designer already embedded in the team, and you'll be defining what enterprise-grade L&D analytics actually needs to look like.

### The problem you're solving

Today, running a large-scale readiness initiative for thousands of learners typically gets one data point at the end: how many people completed it. They don't know who's ...

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