Director, Customer Success - DACH

London, United Kingdom
4 months ago
£80,000 – £120,000 pa

Salary

£80,000 – £120,000 pa

Job Type
Permanent
Work Pattern
Full-time
Work Location
Hybrid
Seniority
Director
Education
Degree
Posted
16 Dec 2025 (4 months ago)

Benefits

Stock options Paid parental leave 25 days of annual leave Cycle to work scheme Private medical insurance Pension contribution Work from home set up Generous referral scheme

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

Reporting to the VP of Customer Success, your key focus in this role will be to build and manage a world class team. You will directly manage and coach a team of CSMs, responsible for the largest accounts.

You are capable of engaging in business-level and technical conversations at multiple levels of the organization, including the C-suite. Ideal for an individual who wants to expand their career with a fast-growing software company.

What you’ll be doing

  • Driving Annual Recurring Revenue (ARR) through landing and expanding Enterprise customers in DACH

  • Establish a trusted advisor relationship with our clients, driving value from Synthesia products and services; Empower customers to achieve their goals and challenges with solutions in our platform while increasing usage and adoption.

  • Own the success of customers, including product adoption, value tracking and retention

  • Operational account planning, including account segmentation and capacity planning;

  • Recruit and retain a high performing team;

  • Coach, mentor and guide the team in developing consultative and solution-based account skills

  • Identify key success metrics and implement reporting to track performance;

  • Collaborate with peers within CS, building right sized frameworks and efficient processes that work for Synthesia’s customers

  • Liaise with the Product team to provide feedback and influence improvements of our product;

  • Retention and growth of our enterprise clients;

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

  • The ability to build and make the business case for CS investments - with a bias towards action.

We’d love to hear from you if you have…

  • Speak German;

  • Experience building a customer success organization in a high growth environment, ideally a B2B SaaS startup / scale up / PLG;

  • Experience hiring and managing a team;

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

  • Skilled in navigating cross-functional relationships within a high-growth SaaS environment;

  • Experience with tools like Salesforce, Gong and Churnzero;

  • Excellent written and verbal communication skills;

  • Strong sense of ownership and eagerness to build and define the customer success function;

  • We would love to find leaders who are based in London; however, we are open to considering remote candidates based in DACH.

At Synthesia we expect everyone to…

  • Put the Customer First

  • Own it & Go Direct

  • Be Fast & Experimental

  • Make the Journey Fun

You can read more about this in our public Notion page.

The good stuff...

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

  • A competitive salary + stock options in our fast-growing Series D 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.

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

  • 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.

Related Jobs

View all jobs

Strategic Customer Success Manager - German Speaking

Synthesia London, Europe, SW7 2AP, United Kingdom
£40,000 – £60,000 pa Remote

Customer Success Manager - Spanish + Italian Speaking

Synthesia London, United Kingdom
£40,000 – £50,000 pa Remote

Customer Director (Maritime)

Faculty London, United Kingdom
Hybrid

Director of Security

PolyAI London, United Kingdom

Senior Solutions Architect (Strategic Account - Energy)

Databricks London, United Kingdom

Associate (Education)

Faculty London, United Kingdom
Permanent

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 Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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 Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.