Project Manager, AI Model Enablement and Agentic SDLC; Remote

Crowd Strike is a fast-growing cybersecurity company that protects customers from breaches. We are investing in project managers who are energetic, curious, and flexible, and who can run large, complex, cross-functional programs in a fast-paced environment. As a Tech Ops AI Project Manager, you will drive the initiatives that bring AI models and agentic development practices into how our technology organization builds, ships, and operates software.

You will work across Engineering, Security, Data Science, Legal, and IT to make dependencies visible, surface critical issues early, and drive them to resolution.

• Project Leadership:
  Lead end-to-end execution of Tech Ops AI initiatives. These include onboarding and enabling AI models, coding assistants, and agent platforms, and rolling out agentic workflows across the SDLC (design, coding, code review, testing, release, and operations). Identify, track, and expedite critical issues until they are resolved.
• AI Enablement Program Management:
  Plan and coordinate model access, evaluation, and approval processes. This covers vendor and model onboarding, security and privacy reviews, usage policies, cost and capacity management, and tooling integration. Track adoption and outcome metrics such as usage, developer productivity, quality, and cost.
• Communication and Coordination:
  Align cross-functional teams and act as the bridge between technical and non-technical stakeholders. Translate fast-moving AI developments into clear plans, risks, and decisions. Own status reporting and communication for small to mid-size projects, and break down silos between engineering, security, and platform teams.
• Change Management and Adoption:
  Drive adoption of new AI-assisted and agentic ways of working. This means building champion networks, training and communication plans, feedback loops, and playbooks that help engineers adopt these tools with confidence and appropriate guardrails.
• Process Improvement:
  Thrive in an evolving, growing team and iterate often. Look for ways to improve program management processes, including applying AI and agents to PMO work such as planning, reporting, risk tracking, and dependency management.
• Stakeholder Engagement:
  Build strong relationships with internal teams and external partners, including AI model providers and tooling vendors. Provide regular, honest updates on progress, risks, and outcomes.

• US Citizen or Green Card holder
• 4+ years of program or project management experience, ideally in software engineering, technical operations, developer productivity, or platform organizations.
• Experience owning a program or portfolio of products or features: scoping requirements, planning milestones, and serving as an active resource for technical teams.
• Working knowledge of the modern SDLC (CI/CD, code review, testing, release management) and of how AI coding assistants, LLMs, and agents are changing it.
• Familiarity with core AI concepts: model selection and evaluation, prompt and context management, agent frameworks and tool use, and the cost, latency, and quality tradeoffs involved.
• Demonstrable experience with organizational change management and adoption, ideally rolling out new tools or ways of working to large engineering populations.
• Comfort navigating AI risk and governance topics, such as data handling, IP and licensing, model security, and responsible use, in partnership with Security, Legal, and Privacy teams.
• Strong communication and interpersonal skills, with the ability to influence stakeholders from individual engineers to senior leadership.
• A seasoned team player who works through persistent obstacles instead of avoiding them.
• Ability to thrive in a dynamic, fast-changing environment and to make logical, timely decisions with meticulous attention to detail.
• Enjoys consensus-driven environments built on collaboration and open, honest communication, and works effectively with global, cross-divisional teams.
• Self-directed learner who takes initiative as the AI landscape shifts.
• Bonus Points PMI, Agile Alliance, or equivalent certification.
• Hands-on experience using AI coding tools or building with LLMs and agents, or experience running AI/ML platform or developer-experience programs.
• Experience with M&A and SaaS.
• Experience at a high-tech, start-up, rapid-growth, or publicly traded company.
• A genuine commitment to our mission.

• Market leader in compensation and equity awards
• Comprehensive physical…