Sr. Manager, ML Platforms (Remote)

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. 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 also a mission-driven company. We cultivate a culture that gives every CrowdStriker both the flexibility and autonomy to own their careers. 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:

As the Senior Manager, ML Platforms at CrowdStrike, you will lead a high-impact engineering team responsible for building and scaling the foundational infrastructure that powers our AI and Machine Learning ecosystem. Your team will enable CrowdStrike’s data scientists, ML engineers, and product teams to develop, deploy, and operate advanced ML models at scale — ensuring that our AI-driven cybersecurity capabilities remain world-class.

You will be at the intersection of platform engineering, data infrastructure, and applied AI — driving the design and delivery of scalable, reliable, and secure systems that support billions of daily events across our global platform. Partnering with Product Management, Data Science, and Cloud Engineering, you will define the strategy and roadmap for ML platform evolution, shaping how AI innovation happens across CrowdStrike.

What You’ll Do:

• Lead and Scale the ML Platform Engineering Team: Manage, mentor, and grow a team of engineers focused on building the services, tooling, and infrastructure that enable ML lifecycle management — from data ingestion and feature engineering to model deployment and monitoring.
• Own the ML Platform Strategy: Define and execute the vision for scalable ML infrastructure that empowers data scientists and engineers to rapidly prototype, train, and deploy models in production.
• Collaborate Cross-Functionally: Partner with Data Science, Product, and Cloud Engineering to ensure seamless integration between data pipelines, ML models, and production systems.
• Drive Platform Innovation: Design and implement core components of the Falcon AI and ML ecosystems, ensuring the platforms are secure, performant, and extensible for evolving AI workloads.
• Champion Best Practices: Establish engineering excellence through code reviews, design reviews, and continuous improvement of deployment and observability practices.
• Ensure Reliability and Scale: Build systems that ingest, process, and analyze billions of events daily with high reliability, leveraging distributed computing, container orchestration, and modern cloud technologies.
• Foster a Culture of Growth and Collaboration: Conduct regular 1:1s, provide coaching and feedback, and serve as the primary advocate for your team within the broader Data Science organization.
• Stay Ahead of the Curve: Monitor industry trends in ML infrastructure, MLOps, and AI platform engineering to ensure CrowdStrike remains at the forefront of data-driven security.
  
  

What You’ll Need:

• Education: Bachelor’s degree in Computer Science, Engineering, or related field; Master’s preferred.
• Experience: 10+ years of engineering experience, including 5+ years managing teams of 5+ engineers. Proven track record building data or ML infrastructure at scale.
• Technical Expertise:
• Strong knowledge of AWS, Python or Golang, Kafka, Airflow, Kubernetes, and Docker.
• Experience designing and operating distributed systems and streaming data pipelines.
• Familiarity with ML frameworks (e.g., TensorFlow, PyTorch, MLflow) and MLOps principles.
• Hands-on experience with model deployment, feature stores, and model monitoring pipelines is highly desirable.
• Leadership: Proven ability to develop talent, manage performance, and inspire teams toward ambitious goals.
• Cross-Functional Collaboration: Skilled at partnering with data scientists, product managers, and executives to align technical solutions with business needs.
• Analytical Thinking: Strong problem-solving skills and a data-driven mindset for making architectural and operational decisions.
• Agility: Experience leading teams in Agile environments with iterative development and fast-paced delivery.
  

Bonus Points:

• Experience building automated ML infrastructure or internal ML platforms at enterprise scale.
• Contributions to open-source projects related to data or ML infrastructure.
• Prior work in cybersecurity, threat intelligence, or related high-scale data environments.
• Familiarity with Spinnaker, relational databases, or key-value stores.
• Knowledge of data governance, compliance, and security practices for ML systems.
  
  

Benefits Of Working At CrowdStrike:

• Remote-friendly and flexible work culture
• 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
  
  

CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program.

CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements.

If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Find out more about your rights as an applicant.

CrowdStrike participates in the E-Verify program.

Notice of E-Verify Participation

Right to Work

CrowdStrike, Inc. is committed to fair and equitable compensation practices. Placement within the pay range is dependent on a variety of factors including, but not limited to, relevant work experience, skills, certifications, job level, supervisory status, and location. The base salary range for this position for all U.S. candidates is $160,000 - $250,000 per year, with eligibility for bonuses, equity grants and a comprehensive benefits package that includes health insurance, 401k and paid time off.

For detailed information about the U.S. benefits package, please click here.

CrowdStrike Canada ULC is committed to equal pay for equal work in its compensation practices. The base salary range for this position in Canada is $175,000 - $250,000 CAD per year + variable/incentive compensation + equity + benefits. A candidate’s salary is determined by various factors including, but not limited to, relevant work experience, skills, certifications and location. This is Canadian-based employment, and it is expected that all employees maintain legal entitlement to work in Canada. Applicants selected to move forward in the hiring process are subject to background checks, including but not limited to criminal record, credit, and/or reference checks.

Expected Close Date of Job Posting is:11-29-2025,

Bonus Points:

• Experience building automated ML infrastructure or internal ML platforms at enterprise scale.
• Contributions to open-source projects related to data or ML infrastructure.
• Prior work in cybersecurity, threat intelligence, or related high-scale data environments.
• Familiarity with Spinnaker, relational databases, or key-value stores.
• Knowledge of data governance, compliance, and security practices for ML systems.