The Role
As a Customer Success Engineer I, you'll resolve customer issues, leverage AI for support, automate processes, and collaborate cross-functionally to enhance the customer experience.
Summary Generated by Built In
At SAFE Security, our mission is bold and ambitious: We Will Build CyberAGI — a super-specialized system of intelligence that autonomously predicts, detects, and remediates threats. This isn’t just a vision—it’s the future we’re building every day, with the best minds in AI, cybersecurity, and risk. At SAFE, we empower individuals and teams with the freedom and responsibility to align their goals, ensuring we all move towards this goal together.
We operate with radical transparency, autonomy, and accountability—there’s no room for brilliant jerks. We embrace a culture-first approach, offering an unlimited vacation policy, a high-trust work environment, and a commitment to continuous learning. For us, Culture is Our Strategy—check out our Culture Memo to dive deeper into what makes SAFE unique.
Location: San Jose, CA (Office-Based)
Experience: Up to 3 Years
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.
What You’ll Do:
- Technical Troubleshooting:
- AI-Assisted Customer Support & Success:
- Internal Tooling & Scripting:
- Cross-Functional Collaboration:
- 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.
What You’ll Bring:
- 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.
Nice to Have:
- 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.
Why This Role Is Exciting:
- Be part of building an AI-first customer success environment and influence the future of how SAFE leverages AI to deliver world-class support.
- Build strong relationships with technical and business teams to solve challenging issues.
- Work hands-on with advanced support tooling, automation workflows, AI-enabled tooling, and AWS technologies.
- Learn and grow in cyber risk - a rapidly growing aspect of cybersecurity
- Build your engineering skill set while contributing to meaningful real-world solutions.
If you’re passionate about cyber risk, thrive in a fast-paced environment, and want to be part of a team that’s redefining security—we want to hear from you! 🚀
Top Skills
Ai Tools
AWS
Bash
Powershell
Python
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The Company
What We Do
Safe Security is a pioneer in the “Cybersecurity and Digital Business Risk Quantification” (CRQ) space. It helps organizations measure and mitigate enterprise-wide cyber risk in real-time using it’s ML Enabled API-First SAFE Platform by aggregating automated signals across people, process and technology, both for 1st & 3rd Party to dynamically predict the breach likelihood (SAFE Score) & $$ Value at Risk of an organization
Headquartered in Palo Alto, Safe Security has over 200 customers worldwide including multiple Fortune 500 companies averaging an NPS of 73 in 2020.
Backed by John Chambers and senior executives from Softbank, Sequoia, PayPal, SAP, and McKinsey & Co., it was also one of the Top Contributors to the National Vulnerability Database(NVD) of the U.S. Government in 2019 and the ATT&CK MITRE Contributor in 2020.
The company, since 2018, has also been working with MIT in joint research for the development of their SAFE Scoring Algorithm. Safe Security has received several awards including the Morgan Stanley CTO Innovation Award.
