Sr. Program Manager, Engineering - Sensor Foundation (Hybrid)

Senior Program Manager

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn't changed we're here to stop breaches, and we've redefined modern security with the world's most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We're always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you.

About the Role:

We're investing in program managers who are energetic, eager to learn, flexible and capable of managing large scale/complex engineering projects in a fast-paced environment through innovative program management and AI-enhanced approaches.

As a Program Manager, you'll be responsible for directly supporting and engaging in the work and projects of the Sensor Foundations Platform Group. This group extends CrowdStrike's mission of "stopping breaches" by building robust sensor infrastructure, platform engineering capabilities, and cloud services that power our endpoint security platform.

This role combines hands-on program leadership (managing 100+ platform and cloud engineers across geo-locations) with developing AI-powered solutions that automate routine tasks, surface insights, and enhance decision-making for sensor infrastructure and platform engineering programs. You'll work closely across functional teams and across geo-locations in Europe and the United States to collaborate and ensure dependencies are well known, critical issues are identified and driven to resolution.

This role is hybrid, on-site in either our Sunnyvale or Redmond Office. Candidate should be comfortable visiting the office 2-3 times a week and should be within a commutable distance (within 30-miles).

What You'll Do:

Traditional Program Management (70%):

• Partner and facilitate directly with platform engineering, cloud engineering, and sensor core teams at all levels; from debugging deployment issues with engineers to providing executive updates on project initiatives.
• Demonstrate deep technical fluency in architecture, cloud infrastructure, build systems, and platform engineering practices in order to align with business objectives and drive project deliverables, resources, and timelines.
• Drive technical decision-making processes, facilitating discussions between engineering teams to resolve architectural challenges, infrastructure dependencies, and build system optimizations, exercising sound judgment in decisions involving people, data, and technology trade-offs.
• Create and drive project delivery schedules for sensor platform initiatives, working with engineering management on task assignments and managing progress of portfolio phases through detailed implementation tasks, including dependencies within and across Product and Platform Groups.
• Collaborate with multiple worldwide business units (including platform engineers, cloud engineers, SREs, product management, and other engineering teams) to clearly identify, explain, and communicate project involvement, goals, expectations, and deliverables for sensor infrastructure programs, ensuring alignment with strategic imperatives and customer-facing security capabilities.
• Proactively track status of platform engineering activities and ensure schedules and priorities are met for sensor releases, infrastructure scaling, and build system improvements.
• Ensure critical infrastructure issues are identified, tracked through resolution, and escalated appropriately, creatively addressing complex problems and managing risks at both project and cross-portfolio levels.
• Manage daily/weekly project communication and status reporting for complex sensor platform initiatives.
• Coach distributed teams and cross-functional partners on frameworks and shared accountability, synthesizing complex portfolio insights to drive aligned, executable outcomes across the organization.

AI Tooling Creation (30%):

• Build AI-powered dashboards and automated reporting systems using Claude skills and agentic workflows for project monitoring and program insights.
• Create intelligent integrations between Jira, GitLab, monitoring tools, and build systems that surface platform health and program risks automatically.
• Develop AI agents that proactively identify infrastructure bottlenecks, build failures, deployment blockers, and resource scaling opportunities.
• Design AI-enhanced workflows that automate routine program management tasks while improving visibility into sensor platform engineering programs, freeing time for strategic stakeholder management, creative problem-solving, and relationship building.

What You'll Need:

Program Management Excellence:

• 12 + years managing complex platform engineering and infrastructure programs with 100+ engineers.
• Expert-level Jira proficiency and Agile/Scrum methodology experience.
• Proven track record owning programs/portfolios of products/features, scoping requirements, and planning milestones.
• Strong organizational awareness with ability to navigate complex organizational structures, manage cross-functional stakeholders in dispersed portfolios, and understand how Sensor Foundations work connects to enterprise strategy.
• Ability to extrapolate context from complex technical conversations and provide teams with valuable summations around action items and next steps.
• Attention to detail with ability to make logical, timely decisions in fast-paced environments.
• Excel at proactively driving results while serving as an active resource for technical teams.

AI Development Capabilities:

• Hands-on experience with agentic AI tools (Claude Code, GitHub, Copilot) as daily workflow accelerators.
• Ability to build Claude skills, AI workflows, and prompt engineering solutions.
• Experience integrating AI into existing enterprise workflows and infrastructure tools.
• Comfort with light development in Python or Go for AI automation scripts.
• Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes.

Leadership & Communication:

• Seasoned team coach managing distributed platform and cloud engineering teams across timezones.
• Excellent written and verbal communication skills with ability to traverse seamlessly between strategic direction and tactical execution.
• Exceptional relationship-building skills that create impact beyond individual contributions, fostering collaboration across organizational boundaries.
• Proven track record of mentoring and supporting other program managers while driving organizational change in platform engineering contexts.
• Must work effectively with cross-functional groups across divisions worldwide as part of a collaborative team.

Platform Engineering Domain Knowledge:

• Experience supporting platform engineering portfolios that drive infrastructure, build systems, cloud architecture, and system reliability.
• Deep familiarity with build systems, deployment automation, infrastructure monitoring, and platform scaling.
• Understanding of cloud-native technologies, microservices architecture, container orchestration, and infrastructure automation.
• Knowledge of platform engineering languages and tools (Go, Python, Terraform, Kubernetes, GitLab CI/CD).
• Knowledge of sensor core technologies, endpoint platforms, and system performance optimization.

Bonus Points:

• Background building platform engineering tools or infrastructure automation.
• Experience with AI-enhanced infrastructure management platforms.
• Familiarity with enterprise AI deployment and change management in cloud environments.
• Experience with sensor technologies, endpoint security platforms, or distributed systems reliability engineering.
• Knowledge of cost optimization strategies for cloud infrastructure and platform engineering operations.