Kai is the AI company rebuilding cybersecurity for the machine-speed era. Founded by second time founders and trusted by Fortune 500 enterprises, Kai is building a future where security has no categories, no silos, and no human speed bottlenecks. The Kai Agentic AI Platform replaces fragmented, human-limited workflows with agentic AI systems that continuously contextualize, assess, reason, and execute security work at machine speed - making human defenders, superhuman.

Why Join Kai

• Well-funded: With $125M raised, we have the capital, runway, and resolve to rebuild cybersecurity from first principles.

• Proven: We've earned the trust of Fortune 500 and Global 1000 companies, and we're just getting started. Their confidence in Kai reflects what we've built: an AI-powered cybersecurity platform that performs at the scale and speed the enterprise demands.

• Experienced founders: Our founding team consists of second-time entrepreneurs, each with over 20 years of experience in the cybersecurity industry. Their proven expertise and vision drive our ambitious goals.

• World-class leadership team: Our Heads of AI, Engineering, and Product bring extensive experience from some of the world’s most influential companies, ensuring top-tier mentorship, direction, and vision.

• Frontier AI Applied Research Team: Our researchers operate at the leading edge of agentic AI systems, translating breakthrough capabilities into real-world cybersecurity applications.

• Generous compensation: We offer highly competitive salaries, equity options, and a supportive work environment. Your contributions will be valued and rewarded as we grow together.

You Have:

• Data engineering and data modeling
• Building data lakes and extracting data from diverse sources in multiple formats
• Designing and executing ETL processes
• Data warehousing and analytics

• 10+ years of software engineering experience, including 7+ years as a Data Engineer
• Proven experience building data lakes and extracting diverse data efficiently for downstream use
• Strong data engineering and data modeling skills
• Expertise in ETL, data warehousing, and data analytics
• Deep expertise in one or more data stores (SQL, NoSQL, with production experience in large GraphDB deployments
• Hands-on experience with big data technologies such as Spark and DeltaLake
• Cloud experience (AWS / Azure / GCP), Azure preferred
• Skilled in developing scalable APIs and containerizing them using Docker and Kubernetes
• Proficiency in Python and SQL; experience with Go or a similar language (Java, C++)
• Familiarity with Terraform and Infrastructure as Code (nice to have)
• General networking knowledge: TCP/IP, HTTP, REST
• Ability to work cross-functionally, including collaboration with AI teams, in a fast-paced environment with evolving requirements
• Bachelor’s or Master’s degree in Computer Science, Data Science, or a related field