Customer Success Engineer I jobs in United States
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Safe Security · 2 days ago

Customer Success Engineer I

SAFE Security is focused on building CyberAGI, a system that autonomously predicts, detects, and remediates threats. The Customer Success Engineer I will serve as a technical problem solver and customer advocate, helping customers onboard and troubleshoot while leveraging AI to enhance support efficiency.

Artificial Intelligence (AI)Cyber SecurityInformation TechnologyNetwork SecurityRisk Management
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Comp. & Benefits
Hiring Manager
Payal Parmar
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Responsibilities

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
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
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
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

Qualification

AWS servicesAI toolsScripting PythonScripting BashScripting PowerShellTechnical support experienceSaaS architecturesCuriosityCommunicationCustomer-first mindsetInitiative

Required

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

Preferred

Exposure to cybersecurity, risk management, or defensive/offensive security concepts
Experience integrating AI tools into technical workflows or building AI-assisted automations
Knowledge of APIs, automation frameworks, or internal tooling development
Experience working within global, distributed teams

Benefits

Unlimited vacation policy
High-trust work environment
Commitment to continuous learning

Company

Safe Security

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Safe Security provides cyber risk management solutions to quantify and manage enterprise‑wide cyber risk in real time.

Funding

Current Stage
Growth Stage
Total Funding
$212.96M
Key Investors
Avataar Venture PartnersBTMS&AD Ventures
2025-07-31Series C· $70M
2023-04-18Series B· $50M
2021-07-21Series A· $33M

Leadership Team

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Saket Modi
Co-Founder and CEO
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Rahul Tyagi
Co-Founder
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Company data provided by crunchbase