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.
We're looking for a seasoned Senior Software Development Engineer (SDE III) with deep expertise in Analytics and AI to join our high-impact engineering team. In this role, you'll collaborate closely with Design, Product, and cross-functional stakeholders to build innovative analytics and AI-driven solutions that help predict and prevent cyber breaches.
Core Responsibilities:
- Technical Leadership: Lead and mentor developers, fostering a culture of innovation, quality, and continuous improvement
- 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
- 5+ years experience as a Senior or Lead Engineer 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
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!
