Skip to content
Houtini.
Contact
Synthesia
Synthesia

Product Manager, Enterprise

London; Europe Product management Senior GBP120k–180k Posted 24d ago
Apply at Synthesia → More product management roles →

Apply at source. Synthesia handles the application directly; Houtini doesn't take a fee from candidates or companies. We curate which companies appear; the listings come from yubhub.

Role description

What the team is looking for.

We're hiring a Product Manager to own the systems that make large-scale Synthesia deployments manageable. This role spans two tightly linked enterprise domains: the content lifecycle and compliance & governance. You'll be responsible for owning the end-to-end roadmap for content lifecycle, governance, and the operational layer that keeps enterprise deployments running. This includes getting close to enterprise customers, translating their needs into clear product direction, and working closely with engineering and design teams.

You'll be comfortable working across a broad surface area, prioritizing ruthlessly, and making the case for what gets built next. You'll have a track record of connecting product outcomes to commercial results and be able to ramp quickly on to the complexity of enterprise buying motions.

In return, you'll be compensated well with a generous salary and equity. You'll get 25 days of annual leave, regular team offsites, and a work from anywhere policy of 60 days per year.

Skills mentioned
  • product management
  • content lifecycle
  • compliance & governance
  • AI video platform
  • enterprise software
  • agile methodologies
  • product roadmapping
  • stakeholder management
  • technical writing
  • data analysis
Apply at Synthesia → More product management roles
Beginner resources

New to AI work? Start with these.

Six pieces of orientation. Most AI-company job specs assume you've done this kind of hands-on work already. If you haven't, an afternoon with one of these is the cheapest way to close the gap.

Set up your tools

Claude Desktop, from zero.

The agentic-AI assistant most of the people you'd be working alongside use every day. Install, configure, first useful prompts.

What MCPs are

The best MCPs for Claude Desktop.

MCP servers extend an AI assistant with tools and data. The catalogue most teams use. Useful technical context for any AI-engineering role.

Code with AI

Claude Code, the complete beginners' guide.

The CLI for AI-paired development. Required reading if you're applying for any engineering role that mentions agents, or any role full stop.

Run a local model

How to set up LM Studio.

Running a model on your own machine teaches you more about how AI products work in three hours than a year of using ChatGPT will.

The hardware reality

Beginner's guide to AI hardware.

What the infrastructure under the model actually looks like. Useful context for infrastructure, applied-AI and hardware roles.

Browse the stack

MCP catalogue.

Eleven MCP servers Houtini maintains or recommends. Each detail page describes a real piece of working AI infrastructure.