At a Glance
- Tasks: Lead AI observability projects and support engineering teams with innovative solutions.
- Company: Join ClickHouse, a top cloud company transforming data usage.
- Benefits: Enjoy remote work, competitive salary, and growth opportunities.
- 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 real impact.
- Qualifications: Experience in AI observability and strong technical 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 employer: Clickhouse
ClickHouse is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the rapidly evolving field of AI observability. With a strong focus on employee growth, ClickHouse provides ample opportunities for professional development and engagement within a thriving community of tech enthusiasts. As part of a fast-growing private cloud company recognised on the Forbes Cloud 100 list, employees benefit from being at the forefront of cutting-edge technology while enjoying the flexibility of remote work.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Solutions Architect - LangFuse EMEA
✨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 LLM observability and share it on platforms like LinkedIn or GitHub. Whether it's blog posts, tutorials, or even code snippets, showcasing your knowledge can attract the right attention from hiring managers.
✨Tip Number 3
Don’t just apply—engage! When you find a job listing that excites you, reach out to current employees or recruiters on LinkedIn. Ask them about their experiences and express your enthusiasm for the role. This personal touch can set you apart from other candidates.
✨Tip Number 4
Use our website to apply! We’ve made it super easy for you to submit your application directly through StudySmarter. Plus, it shows you’re serious about joining our mission to transform how companies use data. Let’s get you on board!
We think you need these skills to ace Remote Solutions Architect - LangFuse EMEA
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 tell us 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 Relevant Experience:In your application, be sure to showcase any specific experience you have with LLM applications or analytics infrastructure. We love seeing concrete examples of how you've made an impact in previous roles!
Apply Through Our Website:Don't forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows us you're serious about joining our team!
How to prepare for a job interview at Clickhouse
✨Know Your Stuff
Make sure you’re well-versed in AI observability and the Langfuse platform. Brush up on how engineering teams instrument and evaluate LLM applications, as this will be crucial in demonstrating your expertise during the interview.
✨Showcase Your Community Engagement
Since this role involves opening doors through the Langfuse community, be prepared to discuss your involvement in relevant forums or projects. Highlight any contributions you've made that showcase your commitment to the AI observability ecosystem.
✨Prepare for Technical Questions
Expect technical questions that assess your understanding of real-time analytics and data warehousing. Practise articulating complex concepts clearly, as you’ll need to convey these ideas to both technical and non-technical stakeholders.
✨Demonstrate Your Pre-Sales Skills
This role sits at the intersection of pre-sales and technical advisory, so be ready to discuss your experience in these areas. Prepare examples of how you've successfully engaged with clients or teams to help them understand and adopt new technologies.
