Engineering Manager - Charlotte AI; Remote, East Coast

Engineering Manager – Charlotte AI at Crowd Strike

Location:

Portland, ME

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. 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 Crowd Strike to keep their businesses running, their communities safe, and their lives moving forward.

We are a mission‑driven company. We cultivate a culture that gives every Crowd Striker both flexibility and autonomy to own their careers. We’re always looking to add talented Crowd Strikers to the team who have limitless passion, a relentless focus on innovation, and a fanatical commitment to our customers, our community, and each other.

As an Engineering Manager for Charlotte AI, you will build and support 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, drive hiring to enable accelerated scaling, foster an open and collaborative environment, and ensure the group remains set up to succeed and keep roadmap delivery on track.

Charlotte AI is a generative AI-powered virtual security analyst that helps any user— from novice to expert—operate like a seasoned SOC analyst. Our product helps organizations.

• Accelerate threat detection and response, converting hours of work into minutes or seconds by handling 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 by allowing analysts to ask plain‑language questions of their security data and automating complex reasoning.
• Enable faster decision‑making by surfacing hidden threats and answering pressing security questions in seconds, allowing teams to respond faster and with greater confidence.

• Lead and build one or more teams of engineers building Charlotte AI software offerings, focusing 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 coaching focused on resourcing, progress, and soft skills and collaborating with senior engineers and managers to advance skill sets in AI/ML and distributed systems.
• Drive the recruitment process from initial contact to onboarding, emphasizing 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 with other managers and team members.
• Participate in team activities such as quarterly roadmap planning to prioritize AI/ML projects based on human availability and business objectives.
• 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.

• 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 design and deliver AI‑powered features.
• Track record of shaping product roadmaps in the short and medium term, particularly for customer‑facing products.
• E…