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.
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.
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 genuinely ready. They don't know which learners need another pass. They don't know whether the programme is working until it's too late to change course.
We have the underlying data to change that. What we need is a PM who can turn that into a product that a learning leader actually uses to run their programme, and that an executive trusts enough to act on.
Owning the end-to-end analytics product - individual learner progress, programme-level reporting, and leadership views - and defining what the roadmap looks like over the coming cycles
Getting close to customers: understanding how learning leaders and programme managers think about readiness measurement, what decisions they need data to make, and where existing tools fall short
Translating that understanding into a clear product direction - what to build, in what order, and why - and keeping the team aligned to it as the strategy evolves
Working closely with the engineering manager and designer already in the team; contributing clear specs, good judgment on trade-offs, and the context that helps engineers build the right thing the first time
Partnering with the teams working directly with customers on programme design - their feedback is a direct input into what analytics needs to do, and keeping that loop tight is part of the job
Defining and tracking the metrics that tell us whether the analytics product is working — for customers and for the business
You've owned an analytics, reporting, or data-heavy product before and you know what makes the difference between a dashboard people open and one they ignore. You understand that enterprise analytics is as much about trust and decision-making workflow as it is about data visualisation, and you build accordingly.
You're comfortable in a space where the roadmap isn't fully formed. You don't need a clean brief to get started - you can talk to customers, synthesise what you hear, and come back with a point of view. You're also honest about what you don't know and willing to update when the evidence changes.
You care about the detail. Analytics products live and die on whether the numbers are right, the definitions are clear, and the UI makes the insight legible.
Requirements:
5+ years in product, with direct experience owning an analytics, reporting, or data product - the vertical doesn't matter, the domain depth does
Comfortable operating in an early-stage roadmap environment where discovery and delivery are happening in parallel
Strong written communication: you can write a spec, a strategy doc, or a customer insight summary that others can act on without a follow-up conversation
Experience working in or alongside an enterprise buying motion is a plus - you'll be close to the commercial team and that context helps
Based in London or open to regular travel; the team is London-anchored and in-person time matters
At Synthesia we’re passionate about building, not talking, planning or politicising. We strive to hire the smartest, kindest and most unrelenting people and let them do their best work without distractions. Our work principles serve as our charter for how we make decisions, give feedback and structure our work to empower everyone to go as fast as possible. You can find out more about these principles here.
💸 You will be compensated well with a generous salary and equity.
📍 Flexible, hybrid role based from our London office.
🏝 You get 25 days of annual leave + local holidays.
🧑🧑🧒 Regular team offsites where you’ll get to collaborate with the product & engineering team in person.
🖥️ Work from home budget
🌍 Work from anywhere policy of 60 days per year
🥳 You will join an established company culture with regular socials.
👉 You can participate in a generous referral scheme.
🚀 Huge opportunity for a career defining role as we go from a scale-up with strong PMF to the next phase of growth.
You can check out this video for an overview on what to expect during process.
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