Product Designer, Growth (Staff/Principal-level)

Synthesia
London, United Kingdom
Last month
Job Type
Permanent
Work Location
Remote
Seniority
Lead
Posted
17 Mar 2026 (Last month)

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

As a (Staff/Principal-level)Product Designer joining our Growth team, you will operate at a high-impact, senior individual contributor level, partnering directly with a Product Manager to meaningfully influence Synthesia’s growth engine.

This role sits at the center of how users experience Synthesia for the first time. Your work will directly impact two core metrics:

  • Activation: % of users who experience value and develop a habital use of Synthesia

  • Longer Term Retention - Increasing the proportion of users who embed Synthesia into their day-to-day workflows and continue using it as a core part of their toolkit over time.

You will focus on rethinking and reshaping high-impact user journeys, particularly onboarding, first-time editor experiences, and early product exploration. Expect to work on problems such as:

  • Reducing cognitive overload during onboarding

  • Redesigning first-time editor experiences to balance guidance with creative power

  • Designing around AI latency and uncertainty states inherent in generative systems

  • Solving cold-start challenges in an AI creation product

These are structurally complex problems, not incremental improvements.

Within the team, ideas move quickly from concept to functional prototype. Designers are not the only ones prototyping. PMs use tools like Lovable and Claude Code to generate working code in sandboxed environments. Your role is not to simply polish these outputs - it is to rethink, restructure, and elevate them into coherent, scalable experiences. You will shape how ambiguous ideas become testable product directions and how early experiments evolve into durable solutions.

You will operate as a true partner in a PM–design–engineering trio, influencing problem framing, experimentation strategy, and solution direction from first principles through execution.

Responsibilities

  • Reimagining onboarding and early editor workflows to materially improve activation

  • Translating ambiguous growth and product challenges into clear concepts, flows, and working prototypes

  • Partnering with Product and Engineering to move core growth metrics

  • Challenging briefs, assumptions, and existing interaction patterns

  • Elevating AI or PM-generated prototypes into scalable, thoughtfully designed experiences

  • Designing experiments that help the team learn quickly, knowing not every concept will ship

  • Contributing to critique culture and raising the bar for product thinking across the Growth team

  • Coaching and mentoring designers where relevant

Who you are

  • You have operated at a high level of scope and autonomy, influencing product direction beyond surface-level design decisions

  • You think in terms of metrics and outcomes, not just flows and artifacts

  • You are comfortable being accountable for moving activation and adoption in a self-serve business

  • You thrive in experimental environments where many ideas are discarded and speed matters

  • You are comfortable working in AI-native workflows where PMs and engineers prototype alongside you

  • You consistently ground your design decisions in both qualitative insights and quantitative data, clearly articulating how these inputs shape your solutions.

  • You can collaborate directly with engineers, understand constraints, and design within (or intelligently push against) them

  • You are energized by complex, zero-to-one challenges where the right solution is not obvious

Our culture

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.

Benefits

  • You will be compensated well with a generous salary and equity

  • Flexible, remote-friendly role for team members working in UK/Europe

  • 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" up to 60 days per year

  • Generous referral scheme of up to $10,000 USD for each successful referral

  • Huge opportunity for a career defining role as we go from a scale-up with strong PMF to the next phase of growth

Related Jobs

View all jobs

Product Designer

Luminance London, United Kingdom
Hybrid

Product Designer (Staff/Principal-level)

Synthesia London, United Kingdom
On-site

Staff Software Engineer - Product Fundamentals

Multiverse London, United Kingdom
Hybrid

Senior Software Engineer

Faculty London, United Kingdom
Hybrid

Product Manager

Luminance London, United Kingdom
Hybrid

PCBA Product Engineer – AI Hardware

Fractile United Kingdom

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise AI Jobs in the UK (2026 Guide)

Advertising AI jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly informed and in demand across multiple sectors simultaneously. General job boards reach a broad audience but lack the specificity that AI professionals expect — and the filtering mechanisms they rely on. Specialist platforms, direct outreach and academic channels each serve a different part of the market. This guide, published by ArtificialIntelligenceJobs.co.uk, covers where to advertise AI roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about time-to-hire across different role types.

New AI Employers to Watch in 2026: UK and Global Companies Reshaping AI Careers

The artificial intelligence job market in the UK is evolving at an extraordinary pace. With record-breaking investment, government backing, and a surge in enterprise adoption, the landscape of AI employers is shifting rapidly. For candidates exploring opportunities on ArtificialIntelligenceJobs.co.uk, understanding who is hiring next is just as important as understanding what skills are in demand. In this article, we explore the new and emerging AI employers to watch in 2026, focusing on organisations that have recently secured funding, won major contracts, or expanded their UK footprint. From cutting-edge startups to global giants doubling down on Britain, these companies represent the next wave of AI career opportunities.

How Many AI Tools Do You Need to Know to Get an AI Job?

If you are job hunting in AI right now it can feel like you are drowning in tools. Every week there is a new framework, a new “must-learn” platform or a new productivity app that everyone on LinkedIn seems to be using. The result is predictable: job seekers panic-learn a long list of tools without actually getting better at delivering outcomes. Here is the truth most hiring managers will quietly agree with. They do not hire you because you know 27 tools. They hire you because you can solve a problem, communicate trade-offs, ship something reliable and improve it with feedback. Tools matter, but only in service of outcomes. So how many AI tools do you actually need to know? For most AI job seekers: fewer than you think. You need a tight core toolkit plus a role-specific layer. Everything else is optional. This guide breaks it down clearly, gives you a simple framework to choose what to learn and shows you how to present your toolset on your CV, portfolio and interviews.