Project Manager, AI Model Enablement – Agentic SDLC

CrowdStrike

. Lead end-to-end execution of TechOps AI initiatives .

Posted 11/9/2026full-timeRemote • United StatesMid-LevelSenior💰 $85,000 - $120,000 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in leading TechOps AI initiatives, managing program execution, and driving adoption of AI models and coding assistants across the software development lifecycle. Proficient in cross-functional collaboration, risk management, and organizational change management within dynamic environments.

Highest-signal resume keywords

Program Management ExperienceKnowledge of Modern SDLCAI Risk and Governance NavigationOrganizational Change ManagementStrong Communication Skills

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

AI Model OnboardingSDLC ManagementCI/CD PracticesCode ReviewTesting and Release ManagementModel EvaluationPrompt ManagementAgent FrameworksDeveloper Productivity MetricsCost Management

Soft Skills

Interpersonal SkillsInfluencing StakeholdersProblem-SolvingAdaptabilityAttention to Detail

Tools & Technologies

AI Coding ToolsLLMsAgent PlatformsTooling IntegrationFeedback Loops

Certifications & Qualifications

PMI CertificationAgile Alliance Certification

Industry Keywords

TechOpsSoftware EngineeringDeveloper ProductivitySaaSM&AHigh-Tech IndustryRapid-Growth Companies

Tech Stack

Tools & technologies

SDLC

About the role

Key responsibilities & impact

Lead end-to-end execution of TechOps AI initiatives
Onboard and enable AI models, coding assistants, and agent platforms
Roll out agentic workflows across the SDLC, including design, coding, code review, testing, release, and operations
Identify, track, and escalate critical issues until resolved
Plan and coordinate model access, evaluation, and approval processes
Manage 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 across Engineering, Security, Data Science, Legal, and IT
Translate AI developments into clear plans, risks, and decisions
Own status reporting and communication for small to mid-size projects
Drive adoption 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 updates on progress, risks, and outcomes

Requirements

What you’ll need

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, including CI/CD, code review, testing, and release management
Working knowledge of how AI coding assistants, LLMs, and agents are changing the SDLC
Familiarity with model selection and evaluation, prompt and context management, agent frameworks and tool use, and cost, latency, and quality tradeoffs
Demonstrable experience with organizational change management and adoption
Comfort navigating AI risk and governance topics, including data handling, IP and licensing, model security, and responsible use
Strong communication and interpersonal skills, with ability to influence stakeholders from individual engineers to senior leadership
Ability to work through persistent obstacles
Ability to thrive in a dynamic, fast-changing environment and make logical, timely decisions with meticulous attention to detail
Ability to work effectively with global, cross-divisional teams
Self-directed learning and initiative as the AI landscape shifts
PMI, Agile Alliance, or equivalent certification is a bonus
Hands-on experience using AI coding tools or building with LLMs and agents, or running AI/ML platform or developer-experience programs is a bonus
Experience with M&A and SaaS is a bonus
Experience at a high-tech, start-up, rapid-growth, or publicly traded company is a bonus

Benefits

Comp & perks

Market leader in compensation and equity awards
Comprehensive physical and mental wellness programs
Competitive vacation and holidays for recharge
Paid parental and adoption leaves
Professional development opportunities for all employees regardless of level or role
Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections
Vibrant office culture with world class amenities
Health insurance
401k
Paid time off
Eligibility for bonuses
Equity grants