Customer Success Engineer, Safe Security

• Experience: Up to 3 Years
• Up to 3 years of experience in technical support, customer success engineering, cloud support, or a related role
• A foundational understanding of AWS services and modern SaaS architectures
• Basic scripting ability (Python, Bash, PowerShell) without AI prompting, and strong logical problem-solving skills
• High comfort using AI tools for analysis, troubleshooting, and workflow automation
• Curiosity, initiative, and a passion for learning and applying new technologies
• Excellent communication skills—ability to explain complex concepts clearly in both technical and business terms
• Customer-first mindset with a proactive, solutions-oriented approach

Desirable

• Role Overview: As a junior Customer Success Engineer (CSE-1), you will be both a technical problem solver and a customer advocate. You will help customers onboard, troubleshoot, and gain deep value from the SAFE platform while using AI to maximize your efficiency and scale your impact.
• This role blends traditional customer success engineering with AI-supported operations, workflow automation, and tooling development. You will work with global teammates (US, UK, India), collaborate across product and engineering, and actively contribute to the evolution of our AI-first support experience
• Technical Troubleshooting:
• Investigate and resolve customer issues across the SAFE platform
• Interpret logs, data insights, and platform telemetry; leveraging AI where beneficial
• Communicate technical findings clearly to both customer and internal stakeholders, framed in the appropriate business and technical language
• AI-Assisted Customer Support & Success:
• Use AI tools daily to accelerate troubleshooting, summarize issues, analyze logs, and generate customer-facing content
• Contribute to AI-powered support routes, enabling customers to resolve issues via automated or self-serve pathways
• Identify repetitive support patterns and work with internal teams to automate or augment solutions using AI agents
• Internal Tooling & Scripting:
• Build lightweight tools, scripts, and automations to reduce manual effort and improve support velocity
• Partner with engineering teams to define opportunities for AI-driven operational improvements
• Contribute to documentation and workflows that enhance team efficiency
• Cross-Functional Collaboration:
• Work closely with Product, Engineering, and Customer Success teams across multiple time zones
• Translate customer feedback into actionable insights for roadmap discussions
• Support global customers through occasional after-hours on-call duties