Job Description
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.
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.
Job Overview:
As an Engineering Manager, you will:
- Lead talented engineers by providing technical guidance, mentorship, delivery ownership, and strategic direction.
- Contribute to solving complex scale, architecture, data, and AI-driven product problems.
- Collaborate closely with Product, Design, Platform, DevOps, Security, and other engineering teams.
- Help design and build core product features aimed at predicting, quantifying, and preventing cyber breaches.
- Drive modern engineering practices, including AI-assisted coding, effective usage of tools like Cursor / GitHub Copilot / LLMs, and practical application of LLM-based systems such as RAG, agents, prompt engineering, and evaluation frameworks.
Core Responsibilities
Qualifications/ Essentials Skills/ Experience
- Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.
- Minimum of 8 years of proven experience in software engineering, with at least 2 years in an engineering management role.
- Strong hands-on experience in server-side technologies such as Node.js, TypeScript, Python, Go, or similar technologies.
- Strong understanding of modern web development technologies such as React, Angular, Vue.js, or similar frameworks.
- Strong knowledge of SQL and NoSQL databases, with experience optimizing database performance at scale.
- Experience with modern cloud-native and distributed systems using technologies such as AWS, ECS/Fargate, S3, SQS, Lambda, RabbitMQ, Kafka/MSK, Redis, Snowflake, ScyllaDB, DynamoDB, MySQL, or PostgreSQL.
- Experience with observability and production engineering practices using tools such as OpenTelemetry, Sentry, Observe.io, structured logging, metrics, traces, dashboards, and alerts.
- Practical experience using AI-assisted coding tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools to improve development productivity and engineering quality.
- Good working knowledge of LLM concepts, including prompt engineering, RAG, agents, vector databases, model evaluation, hallucination mitigation, and LLM-based product workflows.
- Demonstrated track record of delivering high-performance, scalable, secure, and reliable platforms in a fast-paced agile environment.
- Exceptional leadership and communication skills, with a strong drive to mentor and guide a team of developers toward technical excellence.
- Experience managing and coaching 4–8 member teams and delivering high-quality projects on time.
- Ability to balance people leadership, delivery ownership, architectural thinking, and hands-on technical depth.
- Experience in cybersecurity, enterprise SaaS, risk management, CTEM, TPRM, CRQ, compliance, or related domains is a plus.
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! 🚀
