Engineering Manager

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**](https://jobs.safe.security/culture/) 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 - **Technical Leadership:** Lead, mentor, and inspire a team of engineers, fostering a culture of ownership, continuous learning, growth, collaboration, and engineering excellence. - **Technical Strategy:** Define and execute the technical strategy and roadmap for your team, aligning it with business objectives, product priorities, customer commitments, and organizational goals. - **Code Review:** Conduct thorough code reviews to maintain code quality, improve maintainability, identify refactoring opportunities, and provide constructive feedback to team members, including on AI-generated code. - **AI-Assisted Engineering:** Drive adoption of AI-assisted coding and productivity tools such as Cursor, GitHub Copilot, ChatGPT, Claude, or similar tools for development, testing, debugging, documentation, codebase exploration, and refactoring. - **LLM Awareness:** Bring practical knowledge of LLMs, prompt engineering, RAG, AI agents, vector stores, model evaluation, and LLM observability, and guide teams in applying these concepts responsibly in product and engineering workflows. - **Problem Solving:** Troubleshoot and resolve complex technical issues, identify root causes, and implement effective long-term solutions across microservices, distributed systems, data platforms, and production environments. - **Collaboration:** Collaborate closely with product managers, designers, architects, DevOps, security, and other stakeholders to ensure alignment between technical solutions, product outcomes, customer needs, and business objectives. - **Project Management:** Lead the planning, execution, and successful delivery of features, ensuring they are completed on time, within scope, and to the highest quality standards. - **Technical Excellence:** Drive innovation and adoption of best practices in development, architecture, testing, observability, security, performance, cost optimization, and modern AI-native engineering practices. - **Architectural Guidance:** Be a thoughtful technical voice and support your team in making diligent architectural decisions across APIs, microservices, event-driven systems, cloud infrastructure, data stores, and AI-enabled capabilities. - **Production Ownership:** Ensure your team owns production quality through observability, incident management, RCA, bug hygiene, performance tracking, SLOs, and continuous reliability improvements. - **Performance Management:** Conduct regular performance evaluations, provide feedback, support professional growth, and coach engineers on technical depth, ownership, communication, and execution. ### 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, , 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.