Customer Success Manager - Spanish + Italian Speaking

London, United Kingdom
2 months ago
Job Type
Permanent
Work Location
Remote
Posted
5 Feb 2026 (2 months ago)

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.

Welcome to the video first world!

From your everyday PowerPoint presentations to Hollywood movies, AI will transform the way we create and consume content. Today, people want to watch and listen, not read — both at home and at work. If you’re reading this and nodding, check out ourbrand video.

Despite the clear preference for video, communication and knowledge sharing in the business environment are still dominated by text, largely because high-quality video production remains complex and challenging to scale—until now….

Meet Synthesia

We're on amission to make video easy for everyone. Born in an AI lab, our AI video communications platform simplifies the entire video production process, making it easy for everyone, regardless of skill level, to create, collaborate, and share high-quality videos. Whether it's for delivering essential training to employees and customers or marketing products and services, Synthesia enables large organizations to communicate and share knowledge through video quickly and efficiently. We’re trusted by leading brands such as Heineken, Zoom, Xerox, McDonald’s and more. Readstories from happy customers and what1,200+ people say on G2.

In 2023, we were one of 7 European companies to reach unicorn status. In February 2024, G2 named us as the fastest growing company in the world. We’ve raised over $150M in funding from top-tier investors, including Accel, Nvidia, Kleiner Perkins, Google and top founders and operators including Stripe, Datadog, Miro, Webflow, and Facebook.

Join the rocket ship while it's taking off! 🚀

The role...

  • Reporting to the Senior Director of Customer Success and focusing on both Spanish and Italian accounts in Europe - you are energetic, driven, and care deeply about the success of our customers

  • As a strategic Customer Success Manager, you will drive Synthesia’s future growth by building relationships with clients and turning them into happy users

  • You will be helping educate clients on a totally new way to create video content, and work very closely with sales to create a cohesive onboarding experience for new users

  • You are capable of engaging in business-level and technical conversations at multiple levels of the organisation, including the C-suite

  • Ideal for an individual who wants to expand their career with a fast-growing software company

About you...

  • Customer-facing experience in Customer Success Management / Client Service / Account Management / Technical Account Management / Implementation or similar ideally in B2B SaaS

  • Experience in managing a Book of Business along with KPIs

  • A track record in managing risk, forecasting, and identifying growth opportunities

  • Establishing a trusted advisor relationship with our clients, driving value from Synthesia products and services

  • Successfully onboarding new clients and building key relationships in the first critical months and beyond

  • Coordinating and leading regular client check-ins with clear outcomes on client health and opportunities with senior stakeholder attendance

  • Light video editing using the Synthesia platform

  • Retention and growth of our enterprise clients

  • Ensuring ROI and value is understood by clients, proactively looking for risks and opportunities

  • You need to be fluent in Spanish, Italian and English

  • You are based in Europe - can sit remote.

At Synthesia we expect everyone to...

  • Be an owner

  • Focus on outcomes over Inputs and Plans

  • Make the journey fun

  • Default to simple

You can read more about this in this public Notion page - https://synthesia.notion.site/How-we-work-at-Synthesia-f794caa72f8446efb6be22b551ce0fa2

The good stuff...

In addition to being a part of a great team, working in a fun and innovative environment, we offer...

📍 A hybrid setting where you can work from our London office in Soho.

💸 A competitive salary + stock options in our fast-growing Series C start-up.

🍼 Paid parental leave entitling primary caregivers to 16 weeks of full pay, and secondary 5 weeks of full pay

🌴 25 days of annual leave + public holidays in the country where you are based.

🚲 Cycle to work scheme (London).

🥳 Regular socials and company retreats + and regular tasty lunches!

🏥 Private Medical Insurance (Medical History Disregarded basis) including mental health support, dental & vision, cashback and gym discounts.

👉 A generous referral scheme.

🧓 Pension contribution/salary sacrifice.

💻 Work from home set up.

🚀 A huge opportunity for career growth as you’ll help shape a market-defining product.

If you want to be a part of building a legendary company, COME JOIN US! 😊

Related Jobs

View all jobs

Global Account Manager - Pharmaceutical Industry

Databricks London, United Kingdom
£0 pa On-site

Data Platform Solutions Architect (Professional Services) - Emerging Enterprise & DNB

Databricks London, United Kingdom

Software Engineer, Machine Learning

Synthesia London, United Kingdom
Remote

Lead Software Engineer

Faculty London, United Kingdom
£0 pa Hybrid

Lead Data Scientist

Faculty London, United Kingdom
£0 pa Hybrid

Solutions Consultant (German Speaking)

Synthesia London, United Kingdom
£40,000 – £60,000 pa Remote

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 Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.