Project Manager, AI Model Enablement and Agentic SDLC (Remote)
About The Position
CrowdStrike is hiring a TechOps AI Project Manager to lead initiatives that bring AI models and agentic development practices into how its technology organization builds, ships, and operates software. The role works across Engineering, Security, Data Science, Legal, and IT to coordinate dependencies, surface issues early, and drive them to resolution. The Project Manager leads end-to-end execution of initiatives involving AI models, coding assistants, agent platforms, and agentic workflows across the software development lifecycle. The role coordinates model access, evaluation, approval, vendor onboarding, security and privacy reviews, usage policies, cost and capacity management, and tooling integration. It tracks adoption and outcomes, including usage, developer productivity, quality, and cost. The position also aligns cross-functional stakeholders, communicates plans, risks, decisions, and project status, and supports organizational adoption through champion networks, training, communications, feedback loops, and playbooks. The Project Manager improves program management processes, builds relationships with internal teams and external vendors, and provides regular updates on progress, risks, and outcomes.
Requirements
- Must be a U.S. citizen or Green Card holder.
- At least 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, including scoping requirements, planning milestones, and serving as an active resource for technical teams.
- Working knowledge of the modern SDLC, including CI/CD, code review, testing, and release management, and of how AI coding assistants, LLMs, and agents are changing it.
- Familiarity with model selection and evaluation, prompt and context management, agent frameworks and tool use, and cost, latency, and quality tradeoffs.
- Demonstrable organizational change management and adoption experience, ideally rolling out new tools or ways of working to large engineering populations.
- Ability to navigate AI risk and governance topics, including 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.
- Persistent, collaborative team player who works through obstacles.
- Ability to thrive in a dynamic, fast-changing environment and make logical, timely decisions with meticulous attention to detail.
- Ability to work effectively in consensus-driven, collaborative environments and with global, cross-divisional teams.
- Self-directed learner who takes initiative as the AI landscape shifts.
Nice To Haves
- 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.
- Genuine commitment to CrowdStrike’s mission to protect customers from breaches.
Responsibilities
- Lead end-to-end execution of TechOps AI initiatives, including AI model, coding assistant, and agent platform enablement and rollout of agentic workflows across the SDLC.
- Identify, track, and escalate critical issues until they are resolved.
- Plan and coordinate model access, evaluation, and approval processes, including vendor and model onboarding, security and privacy reviews, usage policies, cost and capacity management, and tooling integration.
- Track adoption and outcome metrics, including usage, developer productivity, quality, and cost.
- Align cross-functional teams and bridge technical and non-technical stakeholders.
- Translate developments in AI into clear plans, risks, and decisions; own status reporting and communication for small to mid-size projects.
- Drive adoption of AI-assisted and agentic ways of working through champion networks, training and communication plans, feedback loops, and playbooks.
- Improve program management processes, including applying AI and agents to planning, reporting, risk tracking, and dependency management.
- Build relationships with internal teams and external partners, including AI model providers and tooling vendors.
- Provide regular, honest updates on progress, risks, and outcomes.
Benefits
- Market leader in compensation and equity awards.
- Comprehensive physical and mental wellness programs.
- Competitive vacation and holidays.
- Paid parental and adoption leaves.
- Professional development opportunities for employees regardless of level or role.
- Employee Networks, geographic neighborhood groups, and volunteer opportunities.
- Vibrant office culture with world-class amenities.
- Health insurance, 401(k), and paid time off.
- Eligibility for bonuses and equity grants.
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
No Education Listed
