Most boards and executives are currently flying blind when it comes to cyber risk. They are guessing. At Safe, we’ve built an AI-driven engine that finally gives the C-Suite a clear, quantified, and real-time view of their security posture. We don’t just provide data; we provide certainty.
We are a $170M Series C-funded category leader. We don’t play in the mid-market; we operate at the highest levels of global enterprise. Today, we are proud to serve 10% of the Fortune 500, protecting global icons such as Apple, Netflix, AT&T, Verizon, and Victoria’s Secret.
As we scale toward our next chapter, we are looking for high-performers who want to do the best work of their careers at the intersection of AI and Cybersecurity.
The Culture Memo: Our Operating System
Safe is not a typical corporate environment. We are a high-intensity, mission-driven team. We value builders who want to define a category and work alongside people who are equally committed to excellence.
Extreme Ownership: We don’t do "not my job." We hire people who see a gap and own the solution from start to finish.
The Elite Standard: We serve the most sophisticated companies on the planet. Our work must be bulletproof. Whether it’s a line of code or a sales deck, we aim for Tier-1 quality every time.
Methodology & Rigor: We don’t wing it. From Force Management and MEDDICC in sales to data-driven sprints in engineering, we rely on proven frameworks to stay disciplined and predictable.
Radical Candor: We move too fast for politics or sugar-coating. We value direct, honest feedback that helps us find the right answer quickly.
The Series C Hustle: We have the stability of a well-funded leader but the heart of a startup.
The Perks & Ownership:
We want our team to feel like owners because they are owners. We trust our people to manage their results and their time.
Meaningful Equity: Every "Safestar" is a shareholder. You aren’t just an employee; you are a partner in our success.
Unlimited Leaves: We don’t believe in clock-watching. We offer unlimited leave because we trust you to take the time you need to recharge while staying committed to the mission.
Comprehensive Benefits: We provide top-tier medical insurance and wellness benefits to ensure you and your family are well cared for.
Career Trajectory: We are growing aggressively. For high-performers, the path for advancement moves at the speed of your ambition.
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! 🚀
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Team Leadership: Lead, mentor, and grow a team of high-performing engineers responsible for functional testing across Safe’s products and services
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Testing Strategy & Infrastructure: Define and drive the functional testing strategy, standards, and best practices across the team, while owning the design, build-out, and ongoing maintenance of test infrastructure and environments to keep them reliable, scalable, and easy for the team to work with
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AI-Driven Testing & Evaluation: Champion the use of AI across the test lifecycle, including AI-assisted test case generation, automated/self-healing test maintenance, and AI-driven analysis of test results and failures, while evaluating, benchmarking, and continuously improving the accuracy and reliability of AI agents used in testing and quality workflows
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Deployment Ownership: Take ownership of deploying product services to production, ensuring appropriate quality gates and rollback plans are in place
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Cross-Functional Collaboration: Partner closely with Engineering, Product, and Design to align test coverage and release readiness with product and business priorities
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Code Review: Conduct thorough code reviews to maintain code quality, identify opportunities for improvement, and share constructive feedback with team members
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Cloud Expertise: Leverage AWS services, including but not limited to AWS Lambda, API Gateway, EC2, S3, and RDS, to architect and optimize cloud-based solutions
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Problem Solving: Troubleshoot and resolve complex technical issues, identifying root causes and implementing effective solutions
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Bachelor’s or Master’s degree in Computer Science, Engineering, or a related discipline
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5+ years of experience in Software Development Engineering in Test roles, with a strong track record in building, scaling, and maintaining functional, API, and UI test automation frameworks, including experience leading or mentoring engineers
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Hands-on experience applying AI/LLMs across the test lifecycle – including AI-assisted test generation, automated/self-healing test maintenance, and AI-driven analysis of test results and failures – along with the analytical skills to evaluate and improve the accuracy and reliability of AI agents
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Experience standing up and maintaining test infrastructure and CI/CD pipelines in containerized environments (Docker/Kubernetes), and owning deployment/release processes for production services
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Strong programming skills in one or more of Python, Java, JavaScript/TypeScript, or Go
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Excellent leadership, communication, and stakeholder management skills