Engineering Manager - Charlotte AI; Remote, East Coast

Position: Engineering Manager - Charlotte AI (Remote, East Coast) Engineering Manager - Charlotte AI (Remote, East Coast) at Crowd Strike As a global leader in cybersecurity, Crowd Strike 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. About The Role As an Engineering Manager for Charlotte AI at Crowd Strike, you’ll build and support the teams that develop and maintain our generative AI‑powered virtual security analyst. You will focus on the wellbeing and professional growth of everyone in your group and drive the hiring that will enable us to scale at an accelerated pace. You’ll foster an open and collaborative environment, ensuring roadmaps stay on track. With a focus on Charlotte AI product engineering, you’ll work with cloud, SDET, frontend engineers, and AI/ML data scientists to provide high‑quality, high‑scale AI‑powered security systems that customers use 24/7 to defend against sophisticated adversaries. You’ll collaborate closely with product managers and the design team to maintain a consistent user experience across our products. Our team functions as a complete product unit, working with dedicated product managers, UX designers, and security strategists to iterate quickly on customer needs. Engineers own their work end‑to‑end – from design to deployment – and we embrace rapid experimentation and release cycles in a distributed, remote‑first, high‑trust environment. Our Products Charlotte AI is a generative AI‑powered virtual security analyst that helps any user, from novice to expert, operate like a seasoned SOC analyst.

• Accelerate threat detection and response — converting hours of work into minutes or seconds by handling tedious data gathering and analysis via simple queries.
• Automate detection triage — Charlotte autonomously analyzes and prioritizes alerts with over 98% accuracy, filtering out false positives and low‑risk events.
• Bridge the cybersecurity skills gap — allowing analysts to ask plain‑language questions of their security data and automating complex reasoning.
• Enable faster decision‑making — Charlotte surfaces hidden threats and answers pressing security questions in seconds, so teams can respond faster and with greater confidence.

What You’ll Do

• Lead and build one or more teams of engineers focused on AI/ML engineering, backend systems, and UI/UX engineering.
• Manage organizational structure, workload, project resourcing, and coordination in a fast‑paced, highly distributed environment.
• Support team well‑being by providing coaching, guidance, and soft‑skill development.
• Drive the recruitment process from initial contact to onboarding, emphasizing engineers passionate about AI and cybersecurity.
• Contribute to the product roadmap, setting up your group to deliver on it over the next 12‑18 months.
• Participate in team activities, such as quarterly roadmap planning, to prioritize AI/ML projects based on available resources and business objectives.
• Collaborate closely with AI/ML researchers, data scientists, and security experts to push the boundaries of AI in cyber defense.
• Solve difficult problems at the intersection of artificial intelligence and cybersecurity.

What You’ll Need

• 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 and supporting people with empathy and professionalism in fast‑paced, innovation‑driven environments.
• Experience leading multiple teams to success in rapid iteration cycles.
• Proficiency in working with Product Managers and UX Designers to define requirements and deliver AI‑powered solutions.
• Track record of shaping product roadmaps for customer‑facing products in short‑ and medium‑term horizons.
• 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.

Bonus Points

• Knowledge of and experience with technical…

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