Engineering Manager (AI)

TL;DR

Engineering Manager (AI): Leading and building teams to develop and maintain a revolutionary generative AI-powered virtual security analyst with an accent on AI/ML engineering, backend systems, and UI/UX engineering. Focus on managing organizational structure, driving recruitment, supporting team wellbeing, and pushing the boundaries of AI in cyber defense within a fast-paced, distributed environment.

Location: Hybrid, requiring 2-3 days per week on-site in our New York, NY office

Salary: $140,000 – $215,000 per year (USD)

Company

hirify.global is a global leader in cybersecurity, developing an AI-native platform to stop breaches and protect modern organizations.

What you will do

• Lead and build one or more teams for Charlotte AI software offerings, focusing on AI/ML, backend, and UI/UX engineering.
• Manage organizational structure and workload, project resourcing & coordination in a fast-paced, highly distributed environment.
• Support wellbeing of team members, providing support & guidance focused primarily on resourcing, progress, and soft skills.
• 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, and share information with other managers and team members.
• Collaborate closely with AI/ML researchers, data scientists, and security experts to push the boundaries of AI in cyber defense.

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.
• 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 solution approach and design.
• Track record of shaping product roadmaps in the short and medium term, particularly for customer-facing products.

Nice to have

• Knowledge of and experience with technical teams, cybersecurity, and AI/ML startups.
• Experience with cloud-native technologies (Go, Python, Docker, Kubernetes, AWS).
• Familiarity with data pipelines, vector databases, and AI model training and deployment.

Culture & 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.
• Vibrant office culture with world class amenities.