At a Glance
- Tasks: Lead AI observability initiatives and support engineering teams with cutting-edge LLM tools.
- Company: Join ClickHouse, a fast-growing cloud company recognised on the Forbes Cloud 100 list.
- Benefits: Enjoy competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with a focus on community engagement and pre-sales support.
- Why this job: Be at the forefront of AI innovation and make a real impact in the tech community.
- Qualifications: Experience in AI observability and strong technical advisory skills required.
The predicted salary is between 80000 - 100000 £ per year.
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads. The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla. We’re on a mission to transform how companies use data. Come be a part of our journey!
About the Role
AI applications are being built faster than teams can monitor, debug, or trust them. ClickHouse recently acquired Langfuse — the leading open source LLM observability platform — making it a core part of the ClickHouse product stack. Together, ClickHouse and Langfuse offer engineering teams the most powerful combination in the market: real-time, high-performance analytics infrastructure paired with best-in-class LLM tracing, evaluation, and observability tooling. This role sits at the center of that combined story.
We're looking for a Langfuse Solutions Architect who is already embedded in the AI observability ecosystem — someone who understands how engineering teams instrument and evaluate LLM applications, and can credibly represent the full ClickHouse + Langfuse platform to the teams that need it most. This is not a generalist SA role. You'll be our dedicated technical presence in the LLM observability space — opening doors through the Langfuse community, deepening relationships with AI engineering teams, and helping them get the most out of a platform that now spans from raw data infrastructure to production LLM monitoring. You'll work at the intersection of community, pre-sales, and technical advisory, and you'll be the person who makes the ClickHouse + Langfuse stack the obvious choice for teams building serious AI applications.
What You'll Be Doing Pre-Sales
Remote Solutions Architect - LangFuse EMEA in Surrey employer: Clickhouse
ClickHouse is an exceptional employer, recognised for its rapid growth and innovation in the cloud sector. With a strong focus on employee development, a collaborative work culture, and the opportunity to work with cutting-edge AI technologies, employees are empowered to make a meaningful impact. The remote nature of the role allows for flexibility while being part of a dynamic team that is transforming data usage across industries.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Solutions Architect - LangFuse EMEA in Surrey
✨Tip Number 1
Network like a pro! Get involved in AI and data communities, both online and offline. Attend meetups, webinars, and conferences to connect with industry folks who can help you land that Solutions Architect role.
✨Tip Number 2
Showcase your expertise! Create a portfolio or blog where you share insights on LLM observability and analytics. This not only demonstrates your knowledge but also makes you stand out to potential employers.
✨Tip Number 3
Prepare for those interviews! Research ClickHouse and Langfuse thoroughly, and be ready to discuss how your skills align with their mission. Tailor your responses to highlight your experience in the AI observability space.
✨Tip Number 4
Apply through our website! We want to see your application directly, so don’t hesitate to submit it there. It shows initiative and gives us a chance to see your enthusiasm for joining the ClickHouse team.
We think you need these skills to ace Remote Solutions Architect - LangFuse EMEA in Surrey
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Solutions Architect. Highlight your experience in AI observability and any relevant projects you've worked on. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about AI observability and how you can contribute to our mission at ClickHouse. Keep it engaging and personal, so we get a sense of who you are.
Showcase Your Technical Skills:Don’t forget to highlight your technical expertise in LLM applications and analytics infrastructure. We’re keen to see how you’ve used these skills in past roles, so be specific and provide examples where possible.
Apply Through Our Website:We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Clickhouse
✨Know Your Stuff
Make sure you’re well-versed in the AI observability ecosystem. Brush up on how engineering teams instrument and evaluate LLM applications, as this will be crucial for your role. Familiarise yourself with ClickHouse and Langfuse’s offerings so you can speak confidently about their benefits.
✨Showcase Your Community Engagement
Since this role involves opening doors through the Langfuse community, be prepared to discuss your previous experiences in community engagement. Share examples of how you've built relationships within tech communities or contributed to open-source projects, as this will demonstrate your commitment and relevance.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of real-time analytics and LLM monitoring. Practice articulating complex concepts in a simple way, as you’ll need to explain these to various stakeholders. Use examples from your past work to illustrate your points.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions that show your interest in the company’s mission and future. Inquire about their vision for AI applications and how they see the ClickHouse + Langfuse stack evolving. This shows you’re not just interested in the role, but also in contributing to their journey.
