Role overview
Recognised by the Financial Times as one of the FT1000 Fast Growing Companies in Europe (2022–2024), and winners of both Analytics Company of the Year 2025 and AI Company of the Year 2024 at the British Data Awards, Intent HQ is a leader and innovator in Customer AI Analytics and Data Science. Backed by strong investors and trusted by a blue-chip international enterprise customer base, our mission is to become the world’s preeminent Customer Intent Engine by combining privacy-first signal intelligence, proprietary behavioural AI/ML analytics, and uniquely accessible enterprise insights into a single platform that enables organisations to build more genuine, sustainable, and profitable relationships with customers.
We began by solving complex challenges for clients in the telecommunications sector, including Verizon, O2, and Orange, and have since expanded into Financial Services, Retail, and Social Media, with clients such as HB Reavis and Zurich Group. Our clients typically manage tens of millions of customers and process billions of interactions daily. Our platform is purpose-built to handle data at this enormous scale efficiently, delivering tangible results—one client achieved £26m in incremental revenue through our solutions.
What sets us apart is our focus on deep customer interaction data, doing the hard, specialised work so our clients can focus on applying insight to their business strategies.
Today, Intent HQ is home to an exciting, diverse, and fast-growing team of 100+ people across London, Barcelona, Lisbon, Tel Aviv, New York, South Africa & India collectively speaking over 15 languages.
What you'll work on
- Build reliable, scalable agentic software systems that solve real client problems
- Develop and maintain data pipelines, CI/CD workflows, and deployment processes
- Work end-to-end on features, from initial design and prototyping through to production deployment and ongoing iteration
- Collaborate with designers and product managers to ship intuitive, user-facing functionality
- Apply engineering best practices to ensure performance, consistency, and maintainability across all systems
- Participate in code reviews, technical discussions, and knowledge sharing with the team
At Intent HQ, you'll have many opportunities to improve and learn. If you care about collaboration, technical excellence, and experimentation, this is the right place for you!
What we're looking for
- Experience with data pipelines and/or data engineering
- Understanding of how large language models (LLMs) work and how to apply them in practice
- Exposure to our tech stack or similar tools
Don't meet every requirement? If you meet some but not all of these, we still want to hear from you!