At a Glance
- Tasks: Lead AI observability initiatives and support engineering teams with cutting-edge LLM tools.
- Company: Join ClickHouse, a top innovator in real-time analytics and cloud solutions.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic role with a chance to connect with leading AI engineering teams.
- Why this job: Be at the forefront of AI technology and make a significant impact in the industry.
- Qualifications: Experience in AI observability and strong technical communication skills.
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 Warrington 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 Warrington
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI observability space. Attend meetups, webinars, or even online forums where you can chat about LLM applications. The more people you know, the better your chances of landing that dream role!
✨Tip Number 2
Show off your expertise! Create content around AI observability and share it on platforms like LinkedIn. Whether it's articles, videos, or even just insightful comments, let your knowledge shine. This will help you stand out and attract the right attention from hiring managers.
✨Tip Number 3
Don’t be shy about reaching out directly! If you see a role that excites you, drop a message to someone at ClickHouse or Langfuse. A personal touch can go a long way in making you memorable. Plus, it shows your genuine interest in the company and its mission.
✨Tip Number 4
Apply through our website! We love seeing candidates who take the initiative to apply directly. It not only streamlines the process but also shows us you're serious about joining the team. So, don’t hesitate – hit that apply button and let’s get the conversation started!
We think you need these skills to ace Remote Solutions Architect - LangFuse EMEA in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly 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 you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to tell us why you're passionate about AI observability and how your skills align with our mission at ClickHouse. Be genuine and let your personality come through.
Showcase Relevant Skills:Don’t forget to highlight specific skills that are crucial for this role, like your understanding of LLM applications and analytics infrastructure. We’re looking for someone who can hit the ground running, so make it clear how you fit the bill!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, we love seeing candidates take that extra step!
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 being part of their journey.
