At a Glance
- Tasks: Lead AI observability initiatives and support engineering teams with cutting-edge 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 focus on community engagement and technical advisory.
- 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 Peterborough 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 Peterborough
✨Tip Number 1
Network like a pro! Get out there and connect with folks in the AI observability space. Attend meetups, webinars, or even just chat with people on LinkedIn. The more you engage, the more likely you'll hear about opportunities that aren't even advertised!
✨Tip Number 2
Show off your expertise! Create content around LLM observability and share it on platforms like Medium or LinkedIn. This not only showcases your knowledge but also positions you as a thought leader in the field, making you more attractive to potential employers.
✨Tip Number 3
Don’t be shy about reaching out directly to companies you admire, like ClickHouse. A simple message expressing your interest can go a long way. Plus, applying through our website shows you're serious about joining the team!
✨Tip Number 4
Prepare for those interviews by brushing up on your technical skills and understanding the ClickHouse + Langfuse stack inside out. Practice explaining complex concepts in simple terms, as this will help you connect better with the interviewers and demonstrate your fit for the role.
We think you need these skills to ace Remote Solutions Architect - LangFuse EMEA in Peterborough
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Solutions Architect role. Highlight your experience in AI observability and how it aligns with our mission at ClickHouse. We want to see how you can bring value to our team!
Showcase Your Technical Skills:Don’t hold back on showcasing your technical expertise! Include specific examples of how you've worked with LLM applications or analytics infrastructure. We love seeing real-world applications of your skills that relate to what we do.
Be Authentic:Let your personality shine through in your application. We’re looking for someone who fits well with our culture, so don’t be afraid to show us who you are and why you’re passionate about AI and data!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, it shows us you’re serious about joining our journey at ClickHouse!
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 the company’s journey.
