Product Manager, Analytics (senior/lead-level)

Synthesia Synthesia · Multimodal · London, United Kingdom · Product

Product Manager for an AI video platform, focusing on the analytics layer for enterprise learning and development. The role involves owning the end-to-end analytics product, understanding customer needs, defining the roadmap, and working with engineering and design teams to build a product that measures the effectiveness of learning programs.

What you'd actually do

  1. 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
  2. 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
  3. 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
  4. 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
  5. 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
  6. Defining and tracking the metrics that tell us whether the analytics product is working — for customers and for the business

Skills

Required

  • 5+ years in product, with direct experience owning an analytics, reporting, or data product
  • 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

Nice to have

  • Experience working in or alongside an enterprise buying motion is a plus
  • Based in London or open to regular travel

What the JD emphasized

  • enterprise-grade L&D analytics
  • measure whether it's actually working
  • measure readiness
  • analytics, reporting, or data-heavy product
  • enterprise analytics
  • analytics products live and die on whether the numbers are right