At a Glance
- Tasks: Lead AI observability projects and support engineering teams with innovative solutions.
- Company: Join ClickHouse, a fast-growing cloud company recognised on the Forbes Cloud 100 list.
- Benefits: Enjoy competitive pay, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic team environment with exciting career advancement opportunities.
- Why this job: Be at the forefront of AI technology and make a real impact in the industry.
- Qualifications: Experience in AI observability and strong technical skills are essential.
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 Swansea 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, team members are empowered to make a significant impact in the evolving landscape of data analytics. Joining ClickHouse means being part of a dynamic team that values creativity and offers unique advantages such as flexible remote work options and engagement with leading industry clients.
StudySmarter Expert Advice🤫
We think this is how you could land Remote Solutions Architect - LangFuse EMEA in Swansea
✨Tip Number 1
Network like a pro! Get involved in AI and observability 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
Show off your expertise! Create content around LLM observability and analytics on platforms like LinkedIn or Medium. This not only showcases your knowledge but also gets you noticed by potential employers looking for someone with your skills.
✨Tip Number 3
Don’t just apply—engage! When you find a job listing that excites you, reach out to current employees on LinkedIn. Ask them about their experiences and express your interest in the role. It’s a great way to get insider info and make a memorable impression.
✨Tip Number 4
Leverage our website! Apply directly through StudySmarter to streamline your application process. We’re here to support you every step of the way, so don’t hesitate to reach out if you need any tips or guidance during your job search.
We think you need these skills to ace Remote Solutions Architect - LangFuse EMEA in Swansea
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the role of Solutions Architect. Highlight your experience with 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. Be genuine and let your personality come through.
Showcase Relevant Experience:When filling out your application, make sure to showcase any specific experiences that relate to LLM applications and analytics. We love seeing concrete examples of how you've made an impact in previous roles.
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’re considered for the role. Plus, it shows us you’re keen on joining our team!
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.
