
Engineering Manager – AI
CrowdStrike
full-time
Posted on:
Location Type: Hybrid
Location: New York City • New York • United States
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Salary
💰 $140,000 - $215,000 per year
About the role
- Lead and build one or more teams of engineers building Charlotte AI software offerings, with a focus on AI/ML engineering, backend systems, and UI/UX engineering.
- Manage organizational structure and workload, project resourcing & coordination in a fast-paced, highly distributed environment with rapid iteration cycles.
- Support wellbeing of team members - providing support & guidance focused primarily on resourcing, progress, and soft skills.
- Gather feedback from others, provide coaching as needed & in collaboration with senior engineers and managers to advance team member skill sets in AI/ML and distributed systems.
- Drive the recruitment process from initial contact to on-boarding, with emphasis on finding engineers passionate about AI and cybersecurity.
- Contribute to the product roadmap, set up your group to deliver it over the next 12-18 months, and share that information back to other managers and team members.
- Participate in team activities, such as quarterly roadmap planning, to prioritize AI/ML projects on the roadmap based on availability of humans to do the work and business objectives that need to be met.
- Collaborate closely with AI/ML researchers, data scientists, and security experts to push the boundaries of AI in cyber defense.
- Have fun solving difficult problems at the intersection of artificial intelligence and cybersecurity.
Requirements
- Strong engineering track-record and deep technical knowledge, preferably with experience in AI/ML, distributed systems, or cloud-native architectures.
- Prior work experience with GenAI, LLMs or Agentic Systems.
- Experience mentoring & supporting people and teams with empathy & professionalism, particularly in fast-paced, innovation-driven environments.
- Experience leading through others and setting up multiple teams for success in rapid iteration cycles.
- Experience working with Product Managers and UX Designers for requirement analysis and driving the engineering team to come up with solution approach and design for delivering AI-powered requirements.
- Track record of shaping product roadmaps in the short and medium term, particularly for customer-facing products.
- Experience planning, tracking, delivering and managing multiple projects in startup-like environments.
- Understanding of modern software development practices including microservices, cloud platforms, and agile methodologies.
Benefits
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Applicant Tracking System Keywords
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Hard Skills & Tools
AI/ML engineeringbackend systemsUI/UX engineeringGenAILLMsAgentic Systemsdistributed systemscloud-native architecturesmicroservicesagile methodologies
Soft Skills
mentoringsupporting peopleempathyprofessionalismleadershipcollaborationcoachingcommunicationproblem-solvingteam management