Microsoft

Compensation

Full Description

Drive feature development for prompt injection defenses, intent-based detection systems, and security control sets, leveraging the latest research and industry frameworks (e.g., NIST COSAIS, CSA AI Controls Matrix). Partner with engineering, research, and product managers to scope initiatives, define success metrics, and plan phased delivery that reduces risk and accelerates customer value. Implement novel defense-in-depth strategies like cross-prompt isolation (XPIA), adaptive threat detections, agentic adversarial testing, and secure model lifecycle practices. Ensure data quality, privacy, and compliance for AI-related telemetry and signals; work with stakeholders to meet all regulatory and security requirements for shipping features at scale. Drive execution excellence: define schedules, milestones, KPIs, and review cadences; track progress, manage dependencies, surface risks, and ensure on-time delivery. Communicate program status, insights, and blockers with leadership and stakeholders; clarify ownership, hold teams accountable, and cultivate durable cross-org partnerships. Manage program execution and stakeholder engagement across geographically distributed teams, proactively addressing time zone challenges and fostering effective communication. Schedule and facilitate meetings, reviews, and decision-making sessions that accommodate global team members, ensuring all voices are heard and progress remains on track. Bachelor's Degree AND 6+ years experience in engineering, product/technical program management, data analysis, or product development OR equivalent experience. 3+ years of experience managing cross-functional and/or cross-team projects. 3+ years of hands-on experience with AI security, including prompt injection defenses, adversarial ML, and secure software development practices. Proven track record driving feature launches and large-scale rollouts in complex systems, ideally across multiple client surfaces (desktop, web, mobile). Experience defining long-term program vision and strategy for security/AI projects; proficiency with OKRs and KPI-driven execution. Excellent communication, collaboration, and influence skills; ability to crisply communicate technical concepts to diverse audiences. Ability to thrive in fast-paced, ambiguous environments while driving clarity, alignment, and results. Demonstrated experience collaborating with globally distributed teams. Ability to adapt communication and project management approaches to suit diverse cultural and working styles. Familiarity with security control frameworks for AI (e.g., NIST COSAIS, CSA AI Controls Matrix, SANS Critical AI Security Guidelines). Practical knowledge of risk-based authentication, secure API design, and data loss prevention (DLP) technologies. Understanding of privacy-by-design principles and compliance requirements (e.g., GDPR, regional data regulations) for AI data. Experience with incident response, red teaming, and threat modeling for AI/ML systems.