Principal Technical Program Manager, Security & AI

Microsoft

About The Position

Microsoft Security AI’s NEXT R&D labs is the strategic incubation engine behind the next generation of AI-native security products. We are looking for a Principal Technical Manager, Security & AI to join the team! Our team blends scientific rigor, curiosity, and customer obsession to deliver life-changing innovations that protect millions of users and organizations by building the next generation of Artificial Intelligence (AI)-native security products. In the 2 years since our founding, we’ve driven the science behind Microsoft Security Copilot and delivered both foundational and specialized models. We pursue long horizon bets while landing near term impact, taking ideas from zero-to-one (0→1) prototypes to Minimum Viable Products (MVPs) and then one-to-many (1→N) platform integration across Microsoft Defender, Sentinel, Entra, Intune, and Purview. Our culture blends ambition and scientific rigor with curiosity, humility, and customer obsession; we invest in new knowledge, collaborate across worldclass scientists and engineers, and tackle the immense challenge of protecting millions of customers. As a Principal Technical Program Manager, Security & AI, you will lead foundational and applied research in artificial intelligence and machine learning, driving innovation from concept to production. You will orchestrate complex, cross-functional AI initiatives, drive clarity and results across ambiguous spaces, and ensure our teams ship reliable, scalable, and responsible AI systems. You’ll work closely with scientists, engineers, and product leaders. You will also use your technical and coding skills to ‘vibe code’ experiences demonstrations and proof of concepts to share your vision, prototype and discuss technical designs through hands on AI experience.

Requirements

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.
Candidates must be able to meet Microsoft, customer and/or government security screening requirements are required for this role.
These requirements include, but are not limited to the following specialized security screenings: Microsoft Cloud Background Check:This position will be required to pass the Microsoft Cloud background check upon hire/transfer and every two years thereafter.

Nice To Haves

Bachelor's Degree AND 12+ years experience engineering, product/technical program management, data analysis, or product development OR equivalent experience.
8+ years of experience managing cross-functional and/or cross-team projects.
3+ years technical program management experience in software, cloud, or AI/ML systems.
Hands-on coding ability in one or more languages (e.g., Python, C#, C++, JavaScript/TypeScript)
2+ years working with Machine Learning/AI systems (e.g., LLMs, GenAI, RAG, model serving, experimentation platforms, data pipelines).
Shipping cloud services or platforms at scale (multi-tenant, high-throughput) with measurable customer and business impact.
Security domain expertise (e.g., threat detection/response, SIEM/SOAR, identity, endpoint, cloud security) and familiarity with analyst workflows.
Experience with GenAI/LLM techniques and tooling (prompt engineering, retrieval/vector stores, agents/tool use, content safety/guardrails, eval frameworks).
Demonstrated success driving zero-to-one initiatives from ambiguity to MVP to GA and platform adoption.

Responsibilities

Program Leadership: Drive end-to-end delivery of AI-native security products, from incubation (0→1) to platform scale (1→N).
Align stakeholders across engineering, research, and product teams to deliver cohesive customer value.
Technical Depth: Engage deeply in technical design reviews, read and prototype code, and help define APIs/data contracts.
Be model-literate—understand when to use LLMs, classical ML, or hybrid approaches, and how to evaluate them.
AI/ML Program Management: Coordinate cross-discipline teams to deliver responsible, high-quality AI features.
Set and track metrics for model quality, reliability, latency, and cost.
Responsible AI & Security: Ensure privacy, security, and responsible AI guardrails are designed in from day one.
Coordinate safety reviews, compliance, and incident readiness.
Customer & Outcome Focus: Engage with enterprise customers and field teams to co-design solutions, gather feedback, and iterate quickly based on real-world telemetry.
Mentorship & Culture: Foster a builder culture of velocity and quality, mentor others, and contribute to a growth mindset environment.