
Chattermill helps companies understand what their customers want with granular customer feedback insights. Using Chattermill, companies can unify their customer feedback data across surveys, reviews, support tickets, conversations, and social media to uncover what customers want, need, and expect from their products and services. Chattermill unifies customer feedback, customer support, and product feedback into a single platform and uses deep learning artificial intelligence (AI) to analyse customer data at scale and provide actionable insights. The world’s leading brands like Amazon, Uber, Virgin Mobile, Zendesk, Tesco, JustEat, and H&M use Chattermill to transform their customer experiences and drive growth for their businesses. Chattermill is a private company headquartered in London, UK.

Chattermill helps companies understand what their customers want with granular customer feedback insights. Using Chattermill, companies can unify their customer feedback data across surveys, reviews, support tickets, conversations, and social media to uncover what customers want, need, and expect from their products and services. Chattermill unifies customer feedback, customer support, and product feedback into a single platform and uses deep learning artificial intelligence (AI) to analyse customer data at scale and provide actionable insights. The world’s leading brands like Amazon, Uber, Virgin Mobile, Zendesk, Tesco, JustEat, and H&M use Chattermill to transform their customer experiences and drive growth for their businesses. Chattermill is a private company headquartered in London, UK.
What they do: CX intelligence platform that unifies and analyzes customer feedback across channels using deep-learning AI
Founded: 2015
Headquarters: London, UK
Notable customers: Uber, HelloFresh, Wise, Amazon, Tesco, H&M
Recent funding: Series B $26M (Dec 2022)
Customer experience analytics / Voice of Customer
2015
Software Development
£600,000
Seed round reported December 7, 2017
$8,000,000
Series A reported February 24, 2020
$26,000,000
Series B announced December 5–6, 2022
“Beringea, DN Capital, Ventech, btov Partners, Runa Capital, Silicon Valley Bank, Entrepreneur First, Avonmore Developments”
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🌍 UK (Remote or Hybrid, it’s up to you!)
💰 £30,000 - £35,000 base pa (dependent on experience)
Our Perks ❤️ Monthly Health & Wellness budget, increasing with length of service
📚 Annual Learning and Development budget, increasing with length of service
🤸🏽♂️ Flexible working in a choice-first environment - we trust the way you want to work!
🖥️ Work From Home Allowance
🌴 25 Holiday Days + your local bank holidays, plus an extra day for every year of service
🎂 Your birthday off
🍼 Enhanced Family Leave, Fertility Leave, and Neonatal Leave
⚕️ Optional Healthcare Plan
🛟 Life & income protection (Location dependent)
🤝 Employee Assistance Programme
📈 The opportunity to share in the company’s success through options
🌆 If you’re in London, a dog-friendly office with great classes, events, and a rooftop terrace
🦸♀️ The Role 🦸♀️ Our mission is to help large successful brands like Uber, Amazon, Wise, HelloFresh (and more!) put their customers at the centre of everything they do. Using best-in-class tech in a fast-developing AI space, our Customer Experience Intelligence platform continuously analyses explicit and implicit feedback to enable our clients to identify what they should do next.
We're now looking for a talented Operations Analyst - Machine Learning to join the team!
👉 What You'll Be Doing You’ll be assuring the reliability of our product and translating customer requirements into viable solutions. This means you will:
🧰 What You’ll Need
➕It Would Be a Bonus If You
🔎 Our Hiring Process
💖 Our Values
🌈 Diversity & Inclusion 🌈 We want to enable exceptional experiences for everyone, and to achieve this we need everyone’s voice in our team. We are on a mission to bring more diversity into the business and to give everyone (from all backgrounds and abilities) a chance to join us, even if they may not fit all of the requirements set out in this job spec. We realise that some may be hesitant to apply for a role when they don’t meet 100% of the listed requirements – we believe in potential and will happily consider all applications based on the skills and experience you have, we’d love to be part of your growth and we encourage you to apply!
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