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 SystemSafe 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.
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.
Core Responsibilities:
- AI & Analytics Development: Design, build, and deploy scalable AI-driven analytics solutions, leveraging advanced AI techniques, including Retrieval-Augmented Generation (RAG), AI agents, and foundational models.
- Architecture: Collaborate with cross-functional teams to architect scalable, secure, and performant AI-driven microservices.
- Cloud and AI Integration: Utilize cloud services (primarily AWS Bedrock, Lambda, EC2, S3, RDS) to develop efficient, robust, and scalable solutions.
- Model Evaluation: Implement and evaluate various AI models (e.g., OpenAI, Anthropic Claude, Amazon Titan), understanding trade-offs such as latency, cost, accuracy, and scalability.
- Code Quality: Ensure high-quality code through rigorous code reviews and continuous improvement processes.
- Problem Solving: Address complex technical challenges, identify root causes, and provide effective solutions.
- Cross-team Collaboration: Work closely with product managers, designers, and stakeholders to align technical solutions with business goals.
Essential Skills/ Qualifications/ Experience:
- Bachelor’s or Master's degree in Computer Science, Engineering, or a related field.
- Minimum of 3-5 years of experience in software development roles, with expertise in Python, NodeJS, or Go.
- Strong hands-on experience with AI/ML, including Retrieval-Augmented Generation (RAG), AI Agents, and deploying these technologies into production environments.
- Familiarity with AWS Bedrock and its AI model hosting ecosystem is highly advantageous.
- Experience with Typescript and API frameworks (Express) preferred.
- Good understanding of SQL and NoSQL databases.
- Demonstrable experience deploying scalable solutions in cloud environments (AWS preferred).
- Proficient in deploying containerized applications (Docker, Kubernetes, ECS).
- Knowledge of DevOps best practices and Infrastructure as Code (e.g., AWS CloudFormation) is beneficial.
- Exceptional leadership, communication, and mentoring skills.
- Proven capability to own features end-to-end in an agile, fast-paced environment.
