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

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, 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.