AI Success Engineer (Zürich)
Lakera builds technology that helps enterprises secure monitor and manage AI systems in production. Now part of Check Point were expanding our engineering team to help customers deploy AI safely and effectively at scale.
Were looking for a AI Success Engineer (CSE) a technically strong problem-solver who thrives at the intersection of engineering product and customer success. Youll report into Engineering and work closely with Customer Success Managers (CSMs) Support and Product to keep customers healthy and effective in production.
This is a hands-on customer-facing debugging-heavy role. Youll diagnose complex behaviors across APIs data pipelines and integrations write tooling to improve observability and feed insights directly back into product development.
Why Join Lakera
Work directly with enterprise customers to troubleshoot reproduce and resolve high-impact technical issues in production.
Own L3 investigations ensuring clear handoffs to core Engineering and driving permanent fixes.
Build diagnostic tools scripts and automation to improve time-to-resolution and enable self-serve debugging.
Analyze logs traces and metrics across distributed systems to uncover root causes.
Partner with CSMs and Product to track customer health performance and stability trends.
Act as the voice of the customer within Engineering surfacing systemic issues and quality signals.
Write clear technical updates and playbooks that improve how Lakera supports its customers.
Stay close to production environments this role lives where customers run critical workloads.
What were looking for
Bachelors degree in Computer Science or related technical field.
Strong debugging and analytical mindset you love getting to the bottom of tricky technical issues.
Having worked with AI systems and products in the past.
Experience in technical support QA or customer success engineering.
Proficiency in Python Bash or similar scripting languages.
Familiarity with APIs cloud platforms (AWS/GCP/Azure) and observability tools (Datadog Grafana Sentry etc.).
Exposure to AI/ML systems and how models behave in production environments.
Excellent communication: clear structured and empathetic in working with enterprise customers.
Bias for action when something breaks you move fast and take ownership.
High maturity and professionalism in external-facing contexts.
What were looking for
Work at the frontier of AI security helping global enterprises keep AI systems safe and performant.
Be the technical bridge between customers and engineering directly shaping product reliability and customer experience.
Build internal tools and playbooks that make our customers (and our team) more effective.
Collaborate with exceptional engineers and AI experts backed by Check Points global platform.
Based in Zurich
To remove your information from our recruitment database please email .
Required Experience:
IC
AI Success Engineer (Zürich)Lakera builds technology that helps enterprises secure monitor and manage AI systems in production. Now part of Check Point were expanding our engineering team to help customers deploy AI safely and effectively at scale.Were looking for a AI Success Engineer (CSE) a tech...
AI Success Engineer (Zürich)
Lakera builds technology that helps enterprises secure monitor and manage AI systems in production. Now part of Check Point were expanding our engineering team to help customers deploy AI safely and effectively at scale.
Were looking for a AI Success Engineer (CSE) a technically strong problem-solver who thrives at the intersection of engineering product and customer success. Youll report into Engineering and work closely with Customer Success Managers (CSMs) Support and Product to keep customers healthy and effective in production.
This is a hands-on customer-facing debugging-heavy role. Youll diagnose complex behaviors across APIs data pipelines and integrations write tooling to improve observability and feed insights directly back into product development.
Why Join Lakera
Work directly with enterprise customers to troubleshoot reproduce and resolve high-impact technical issues in production.
Own L3 investigations ensuring clear handoffs to core Engineering and driving permanent fixes.
Build diagnostic tools scripts and automation to improve time-to-resolution and enable self-serve debugging.
Analyze logs traces and metrics across distributed systems to uncover root causes.
Partner with CSMs and Product to track customer health performance and stability trends.
Act as the voice of the customer within Engineering surfacing systemic issues and quality signals.
Write clear technical updates and playbooks that improve how Lakera supports its customers.
Stay close to production environments this role lives where customers run critical workloads.
What were looking for
Bachelors degree in Computer Science or related technical field.
Strong debugging and analytical mindset you love getting to the bottom of tricky technical issues.
Having worked with AI systems and products in the past.
Experience in technical support QA or customer success engineering.
Proficiency in Python Bash or similar scripting languages.
Familiarity with APIs cloud platforms (AWS/GCP/Azure) and observability tools (Datadog Grafana Sentry etc.).
Exposure to AI/ML systems and how models behave in production environments.
Excellent communication: clear structured and empathetic in working with enterprise customers.
Bias for action when something breaks you move fast and take ownership.
High maturity and professionalism in external-facing contexts.
What were looking for
Work at the frontier of AI security helping global enterprises keep AI systems safe and performant.
Be the technical bridge between customers and engineering directly shaping product reliability and customer experience.
Build internal tools and playbooks that make our customers (and our team) more effective.
Collaborate with exceptional engineers and AI experts backed by Check Points global platform.
Based in Zurich
To remove your information from our recruitment database please email .
Required Experience:
IC
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