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

CrowdStrike•Redmond, WA

6d•$140,000 - $215,000•Hybrid

About The Position

CrowdStrike is a global leader in cybersecurity, protecting organizations with an advanced AI-native platform. The company processes trillions of events daily and serves customers across all industries. CrowdStrike fosters a mission-driven culture that emphasizes AI-first approaches, innovation, and customer commitment. This role is for an energetic, eager, and flexible Program Manager to manage large-scale, complex engineering projects in a fast-paced environment using innovative program management and AI-enhanced approaches. The Program Manager will support the Sensor Foundations Platform Group, which builds robust sensor infrastructure, platform engineering capabilities, and cloud services powering CrowdStrike's endpoint security platform. The role involves hands-on program leadership for over 100 platform and cloud engineers across global locations, as well as developing AI-powered solutions to automate tasks, surface insights, and enhance decision-making for sensor infrastructure and platform engineering programs. Collaboration with functional teams across Europe and the United States is key to managing dependencies and resolving issues. This is a hybrid role, requiring 2-3 days per week in either the Sunnyvale or Redmond office, with candidates needing to be within a 30-mile commuting distance.

Requirements

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.
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.
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.
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.

Nice To Haves

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.

Responsibilities

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.
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.

Benefits

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
Great Place to Work Certified™ across the globe
health insurance
401k
paid time off
bonuses
equity grants