Customer Success Manager in London

Customer Success Manager in London

London Full-Time 60000 - 80000 £ / year (est.) Home office (partial)
SambaNova Systems

At a Glance

  • Tasks: Be the go-to person for enterprise customers, guiding them through AI deployment and maximising their success.
  • Company: Join SambaNova, a trailblazer in AI computing and innovation.
  • Benefits: Competitive salary, equity options, comprehensive health coverage, and wellness benefits.
  • Other info: Dynamic team environment with opportunities for growth and impact.
  • Why this job: Shape the future of AI while helping businesses unlock their potential.
  • Qualifications: 5-10 years in Customer Success or related roles, with a passion for AI/ML.

The predicted salary is between 60000 - 80000 £ per year.

The era of pervasive AI has arrived. In this era, organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to fundamentally transform their businesses and operations at scale.

SambaNova Suite™ is the first full-stack, generative AI platform, from chip to model, optimized for enterprise and government organizations. Powered by the intelligent SN40L chip, the SambaNova Suite is a fully integrated platform, delivered on-premises or in the cloud, combined with state-of-the-art open-source models that can be easily and securely fine-tuned using customer data for greater accuracy. Once adapted with customer data, customers retain model ownership in perpetuity, so they can turn generative AI into one of their most valuable assets.

About SambaNova: Join the company that's building the future of AI computing. SambaNova is disrupting the AI and high-performance computing space with an integrated hardware and software platform. Our SambaStack inference serving platform is pushing the boundaries of inference serving for generative AI and large language models. We are a team of passionate innovators tackling some of the world's most challenging computational problems. We help enterprises and service providers host their own AI inference platforms, powered by our state-of-the-art RDU (Reconfigurable Dataflow Unit) hardware architecture. Our cloud-agnostic, enterprise-grade inference serving platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.

As a Customer Success Manager, you will be the strategic partner to our most important enterprise customers, guiding them from onboarding through full-scale AI deployment. You will own the post-sales relationship, ensure customers extract maximum value from SambaNova's full-stack AI platform, and drive expansion across their organizations.

Responsibilities:
  • Own the post-sales relationship for a portfolio of enterprise accounts, serving as the primary point of contact from onboarding through renewal and expansion.
  • Build tailored success plans aligned to each customer's AI adoption goals — translating their business objectives into measurable outcomes with SambaNova's platform.
  • Lead onboarding and go-live efforts, coordinating with Solutions Engineering, Professional Services, and Product teams to ensure smooth deployments.
  • Monitor adoption metrics and platform utilization; proactively identify churn risks and build mitigation plans in partnership with the account team.
  • Drive upsell and cross-sell opportunities by demonstrating expanding business value and introducing customers to new use cases across departments.
  • Act as the voice of the customer internally — synthesizing feedback on product gaps, feature requests, and roadmap priorities for the Product and Engineering teams.
  • Deliver executive business reviews (EBRs) showcasing ROI, usage trends, and strategic recommendations for deeper AI adoption.
  • Partner with Sales, Solutions Engineering, and Marketing to develop customer advocacy programs, case studies, and reference accounts.
Qualification:
  • 5–10+ years in Customer Success, Technical Account Management, or related enterprise-facing roles, ideally in AI/ML infrastructure, cloud computing, or deep-tech hardware or software.
  • Demonstrated ability to manage complex, multi-stakeholder accounts and build executive-level relationships with technical and business audiences.
  • Working knowledge of AI/ML workflows, large language models (LLMs), or HPC infrastructure — enough to credibly engage with data science and ML engineering teams.
  • Proven track record of driving adoption, retention, and expansion within a technical enterprise product.
  • Excellent project management skills with the ability to manage multiple priorities and coordinate across internal teams in a fast-moving environment.
  • Strong written and verbal communication skills; able to distill complex technical concepts for both executive and practitioner audiences.
  • Bachelor's degree or equivalent experience in a technical or business field.
Bonus qualifications:
  • Experience with AI accelerators or GPUs
  • LLM fine-tuning or inference knowledge
  • Familiarity with Sambanova products or similar MLOps platforms
  • Enterprise SaaS or PaaS background
  • MBA or advanced technical degree

Base Salary Range: £94,500 - £115,000 GBP

Customer Success Manager in London employer: SambaNova Systems

SambaNova is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI computing. As a Customer Success Manager, you will have the opportunity to engage with cutting-edge technology while driving meaningful impact for enterprise clients, all within a supportive environment that prioritises employee growth and well-being. With competitive benefits, including comprehensive health coverage and wellness programs, SambaNova empowers its team to thrive both professionally and personally.

SambaNova Systems

Contact Details:

SambaNova Systems Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Customer Success Manager in London

Get to Know the Company Culture

Before jumping into applications, it’s super helpful to understand the vibe at SambaNova Systems. Check out their social media, read reviews on sites like Glassdoor, and see how they engage with customers. It'll give you clues on their values and help tailor your conversation during interviews.

Join Customer Support Communities

Dive into online communities like those on Reddit or LinkedIn where customer support pros hang out. Participating in discussions or asking questions can make you more visible to potential recruiters and help you learn about job openings at companies like SambaNova Systems before they even post them.

Attend Job Fairs or Networking Events

Look out for local job fairs or events specifically for customer support roles. This is your chance to meet hiring managers face-to-face, and you might even get the opportunity to interview on the spot!

Show Off Your Skills with Customer Interactions

In the customer support world, showcasing your communication skills is key. Consider creating a short video introducing yourself or even doing a mock call to showcase your abilities. It's a memorable way to stand out, especially if you can share this during your interview process!

We think you need these skills to ace Customer Success Manager in London

Customer Success Management
Technical Account Management
AI/ML Workflows
Large Language Models (LLMs)
High-Performance Computing (HPC) Infrastructure
Project Management
Communication Skills

Some tips for your application 🫡

Show Off Your Communication Skills:In customer support, clear communication is key. Make sure your CV highlights any experience you've had in customer-facing roles and your ability to resolve issues. Don't shy away from including specific examples of how you've gone above and beyond to help customers – this really shows your potential in the role.

Tailor Your Cover Letter to SambaNova Systems:Your cover letter is your chance to shine! Tell us why you want to work at SambaNova Systems specifically. Mention any unique aspects of our company that resonate with you and how your skills can enhance our customer support. This personal touch will set your application apart from the rest!

Highlight Any Relevant Tools or Tech Skills:If you've used customer support software like Zendesk or Freshdesk or have experience with CRM systems, make sure to mention these in your application. Being familiar with industry-standard tools can be a big plus for us when we’re reviewing applications, as it shows you can hit the ground running!

Demonstrate Your Problem-Solving Skills:Customer support roles often require a knack for problem-solving. In your application, share examples of past experiences where you've tackled tough situations or resolved conflicts effectively. This will give us a good sense of how you handle challenges—an essential skill for success at SambaNova Systems!

How to prepare for a job interview at SambaNova Systems

Show Off Your People Skills

In customer support, it's all about communicating effectively. Prepare to share instances from your past experiences where you handled difficult customers or resolved conflicts. We want to hear how you empathised and found the best solutions, so think of specific examples to back up your stories!

Know the Tools of the Trade

Familiarise yourself with common customer support tools like Zendesk or Freshdesk, and make sure to review how you’ve used any similar systems in the past. During the interview, being able to discuss your hands-on experience with software or ticketing systems can really set you apart from the competition, so don’t skip this prep!

Show Genuine Enthusiasm

As this is a full-time role, employers want someone who isn’t just looking for any job, but wants to grow within customer support. Make sure to express your enthusiasm for helping customers and your desire to develop your skills. Show them why you're passionate about this field!

Practice Common Scenarios

Be prepared for role-playing scenarios where you might have to reassess a solution with a frustrated customer or explain a complex process in simple terms. Practising these common scenarios can help us feel more confident and demonstrate our practical skills effectively during the interview.