Senior Technical Program Manager (AI)

Location: San Jose, CA or Kansas City, KS; onsite employment with a hybrid work model

Company

AI-native, automation-first Managed Detection and Response provider developing advanced threat detection, rapid response, and continuous cybersecurity protection.

What you will do

• Lead end-to-end delivery of complex technical programs across AI research, engineering, and security detection teams.
• Establish frameworks for scaling AI-driven security capabilities from prototypes to production-grade deployment and lifecycle management.
• Identify and mitigate technical risks, dependencies, and bottlenecks across distributed teams.
• Drive integration of AI models into the MDR pipeline while maintaining security, compliance, and performance standards.
• Define AI program management practices and translate technical challenges into business outcomes and actionable roadmaps for executive stakeholders.

Requirements

• 5+ years of technical program management experience delivering large-scale AI or ML initiatives from concept to production.
• Strong cybersecurity fluency, including threat intelligence, SIEM/SOAR integration, and SecOps workflows.
• Ability to engage deeply with engineering teams on architecture, LLM deployment, model performance, and data infrastructure.
• Experience building scalable processes in high-growth startup environments while balancing speed, technical stability, and security.
• Exceptional ability to influence cross-functional teams without direct authority and communicate technical strategy to non-technical stakeholders.
• Bachelor’s or Master’s degree in Computer Science, Engineering, Information Security, or a related field.

Nice to have

• CISSP or another cybersecurity certification.
• Experience with Google SecOps solutions.

Culture & Benefits

• Work with AI-driven cybersecurity technologies and Google SecOps solutions.
• Collaborate with a team focused on continuously improving security operations.
• Competitive salary and benefits package.
• Growth and development opportunities in AI, cybersecurity, and emerging technologies.
• Early-stage startup environment with meaningful influence on culture and company direction.