At a Glance
- Tasks: Guide enterprise customers through AI deployment and ensure they maximise value from our platform.
- Company: Join SambaNova, a leader in AI and high-performance computing innovation.
- Benefits: Competitive salary, health coverage, wellness programs, and equity options.
- Other info: Dynamic work environment with opportunities for professional growth and impact.
- Why this job: Be a strategic partner in transforming businesses with cutting-edge AI technology.
- Qualifications: 5-10 years in Customer Success or related roles, ideally in AI/ML or cloud computing.
The predicted salary is between 60000 - 80000 £ per year.
Job Description: Customer Success Manager
The era of pervasive AI has arrived.
Organizations will use generative AI to unlock hidden value in their data, accelerate processes, reduce costs, drive efficiency and innovation to transform their businesses and operations at scale.
Samba Nova 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 suite is a fully integrated platform delivered on‑premises or in the cloud, with state‑of‑the‑art open‑source models that can be easily and securely fine‑tuned using customer data.
Once adapted, customers retain model ownership in perpetuity, turning generative AI into a valuable asset.
About Samba Nova
Samba Nova is disrupting the AI and high‑performance computing space with an integrated hardware and software platform.
Our Samba Stack inference serving platform pushes the boundaries of inference serving for generative AI and large language models.
We help enterprises host their own AI inference platforms, powered by our RDU hardware architecture.
The platform enables seamless deployment, management, and scaling of foundation model workloads at production scale.
Role Overview
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 Samba Nova’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 business objectives into measurable outcomes with Samba Nova’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 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 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.
Qualifications
- 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 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 Saa S or Paa S background. MBA or advanced technical degree.
- Base Salary Range
- EEO Policy
Samba Nova Systems is an Equal Opportunity/Affirmative Action Employer.
All qualified applicants will receive consideration for employment without regard to age, color, disability, gender identity, genetic information, marital status, military or veteran status, national origin, race, religion, creed, sex, sexual orientation, or any other applicable status protected by federal, state, or local laws.
Benefits Summary (US)
Samba Nova offers a competitive total rewards package, including base salary, equity, and benefits.
We cover 95% premium coverage for employee medical insurance, 77% for dependents, and provide a Health Savings Account (HSA) with employer contribution.
Additional benefits include Dental, Vision, Short/Long term Disability, Basic Life, Voluntary Life, AD&D insurance, Flexible Spending Account options, full subscription to Headspace, Gympass+ membership, One Medical membership, counseling services with Employee Assistance Program, and more.
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Customer Success Manager employer: SambaNova
SambaNova is an exceptional employer, offering a dynamic work culture that thrives on innovation and collaboration in the cutting-edge field of AI and high-performance computing. Employees benefit from a comprehensive rewards package, including generous health coverage, wellness programs, and opportunities for professional growth, all while working in a supportive environment that values diversity and inclusion. As a Customer Success Manager, you will play a pivotal role in shaping customer experiences and driving success, making a meaningful impact in a rapidly evolving industry.
StudySmarter Expert Advice🤫
We think this is how you could land Customer Success Manager
✨Get to Know the Company Culture
Before jumping into applications, it’s super helpful to understand the vibe at SambaNova. 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 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
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:Your cover letter is your chance to shine! Tell us why you want to work at SambaNova 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!
How to prepare for a job interview at SambaNova
✨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.
