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- Tasks: Help large enterprises adopt and scale advanced machine-learning solutions with our Alchemite platform.
- Company: Join a dynamic deep-tech SaaS company based in Cambridge.
- Benefits: Competitive salary, flexible leave, hybrid working, and career development opportunities.
- Why this job: Make a real impact by guiding customers through innovative tech solutions.
- Qualifications: Customer-focused with experience in technical support or consulting; interest in AI and machine learning.
- Other info: Collaborative culture with regular social events and a commitment to your professional growth.
The predicted salary is between 30000 - 40000 £ per year.
An excellent opportunity for a customer-focused early-career professional to grow in a deep-tech SaaS company, helping large enterprises deploy, adopt, and scale advanced machine-learning solutions.
Location: Cambridge
Key features:
- Fantastic opportunity to help the business develop and thrive
- Full time hybrid working
The opportunity:
We are looking for a motivated and customer-focused Customer Success Specialist to help our customers successfully adopt and scale our machine-learning platform Alchemite. This role sits at the intersection of customers, product, and commercial, helping large enterprise customers adopt, expand, and scale their use of our platform to ensure complex technical solutions deliver real and lasting value.
You will be customer focused and help guide implementations, support ongoing usage, and help shape how our technology is applied in real-world environments. This is an excellent opportunity for someone early in their career who enjoys working with people, travelling, solving problems, and learning about cutting-edge technology.
Main duties and responsibilities:
- Responsible for the day to day management of delivery and onboarding of enterprise customers using our Alchemite platform
- Contribute to documentation, onboarding materials, and internal delivery processes
- Act as a primary point of contact for customers during implementation and early adoption
- Manage multiple customer delivery and onboarding projects in parallel, ensuring timelines, priorities, and stakeholders are coordinated effectively
- Work with engineering and R&D teams to translate customer needs into technical requirements
- Monitor customer usage, identify issues, and proactively help customers achieve success
- Assist with configuring, testing, and deploying solutions in customer environments
- Build strong relationships with customers and help identify opportunities for expansion or improvement
- Supporting the creation and delivery of training programs
Requirements:
- Strong communication skills and ability to explain complex ideas clearly
- Comfortable working with technical products (software, SaaS, data, ML, engineering, or similar)
- Highly organised, proactive, and able to manage multiple tasks
- Friendly, professional, and confident working directly with customers
- Interest in technology, AI, machine learning, or deep-tech environments
- Willingness to travel
- 2–5 years experience in customer success, delivery, technical support, consulting, or similar customer-facing role
- Bachelor’s degree (STEM, engineering, computer science, or similar preferred but not required)
- Exposure to machine learning, data science, or research-driven products
- Experience with APIs, data pipelines, or technical integrations
- Experience in a startup, scale-up, or R&D environment
- Experience working with enterprise customers
The above is not an exhaustive list and you are required to be flexible in your approach to carrying out your duties which may change from time to time in order to reflect business needs or the company’s continuous improvement.
What can we offer you?
- A competitive financial package – salary and share options
- 5 weeks annual leave pro rata, flexible leave policy
- Salary sacrifice pension, with company savings being paid into the scheme
- A collaborative work environment with neither red tape nor bureaucracy
- Scope for career development as an early team member
- Support and resources to develop your skills and succeed in the role
- Hybrid working arrangements and a great team culture
- Access to an EAP, wellbeing champion, and financial advice
- Enhanced sickness policy
- Regular social and team building events
With Intellegens, you can apply advanced machine learning to find new product and process solutions, get products to market faster, and break through R&D bottlenecks. The Alchemiteâ„¢ Suite offers a series of easy-to-use apps focused on key challenges for scientists, experimentalists, data scientists, or their managers. Unlock insights hidden in your data and guide decision-making to reduce experimental workloads by 50-80%. Share results and collaborate across R&D teams.
Originally developed at the University of Cambridge, the Alchemiteâ„¢ algorithm offers unique capabilities for handling real experimental and process data. Since 2017, Intellegens has further advanced the method, implemented software solutions that enable it to be applied to solve practical problems in industrial R&D, and developed deep experience of such applications through hundreds of projects. The strengths of Alchemiteâ„¢ include its ability to train machine learning models on sparse and noisy data, where other machine learning methods typically fail, and accurate uncertainty quantification, enabling effective decisions.
The Intellegens team of expert scientists, software engineers, and commercial staff is based in its new Cambridge Headquarters at Chesterton Mill. Its record of innovation and customer success led to it being awarded ‘AI Company of the Year’ in the Cambridge Independent Science & Technology Awards, 2023, selected from a very strong peer group of scientific software and research businesses in the Cambridge ‘Silicon Fen’ region. Successful applications of Intellegens technology have included alloys, specialty chemicals, plastics, paints, coatings, cosmetics, food and beverages, drugs, biopharmaceuticals, batteries, and optimising manufacturing processes.
How to apply:
If you are interested in this role, send a CV or showcase your suitability by emailing hr@intellegens.com
Customer Success Specialist in Cambridge employer: Intellegens
Contact Detail:
Intellegens Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Customer Success Specialist in Cambridge
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or attend industry events. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Prepare for the interview by researching the company and its products. Knowing about Alchemite and how it helps customers will show you're genuinely interested and ready to contribute.
✨Tip Number 3
Practice your problem-solving skills! Be ready to discuss how you've tackled challenges in the past, especially in customer-facing roles. Real-life examples will make you stand out.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step.
We think you need these skills to ace Customer Success Specialist in Cambridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Customer Success Specialist role. Highlight any customer-facing roles you've had, especially in tech or SaaS environments, to show us you're a great fit!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about customer success and technology. Share specific examples of how you've helped customers in the past, and let your personality shine through!
Showcase Your Technical Skills: Since we're all about machine learning and tech, don’t forget to mention any relevant technical skills you have. If you've worked with APIs, data pipelines, or similar tools, make sure we see that in your application!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get noticed by the right people on our team!
How to prepare for a job interview at Intellegens
✨Know Your Product Inside Out
Before the interview, make sure you understand the Alchemite platform and its applications. Familiarise yourself with machine learning concepts and how they relate to customer success. This will help you answer questions confidently and demonstrate your genuine interest in the technology.
✨Showcase Your Customer-Focused Mindset
Prepare examples from your past experiences where you've successfully managed customer relationships or resolved issues. Highlight your ability to communicate complex ideas clearly and how you've helped customers achieve their goals. This will show that you're not just technically savvy but also genuinely care about customer success.
✨Demonstrate Your Problem-Solving Skills
Think of specific scenarios where you've tackled challenges in a customer-facing role. Be ready to discuss how you approached these problems, what solutions you implemented, and the outcomes. This will illustrate your proactive nature and ability to manage multiple tasks effectively.
✨Ask Insightful Questions
Prepare thoughtful questions about the company culture, team dynamics, and how success is measured in this role. This shows your enthusiasm for the position and helps you gauge if the company aligns with your career goals. Plus, it gives you a chance to engage with the interviewers on a deeper level.