AI Success Engineer

Lakera builds technology that helps enterprises secure, monitor, and manage AI systems in production. Now part of Check Point, we're expanding our engineering team to help customers deploy AI safely and effectively at scale.

We're looking for a AI Success Engineer (CSE) - a technically strong problem-solver who thrives at the intersection of engineering, product, and customer success. You'll 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. You'll diagnose complex behaviors across APIs, data pipelines, and integrations, write tooling to improve observability, and feed insights directly back into product development.

What you'll do

• 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.

Do you have experience in Technical support?, Do you have a Bachelor's degree?, * Bachelor's 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.

• 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 Point's global platform.
• Based in Zurich