R&D Team Lead (AI Engineering)

Skeletons, lasers, monster trucks — the Torq brand grabs attention like nothing else in cybersecurity. And we’re growing like crazy, with $70M in Series C funding, 200% employee growth, and 300% revenue growth in 2024. Fueling Torq’s growth are our game changing agentic AI security solutions, backed by a team and culture that makes Torq one of Forbes’ Best Startup Employers in America, and a Business Insider ‘startup to bet your career on’.

Life at Torq is all gas, no brakes. We’re a team of relentless, collaborative go-getters pushing the boundaries of what’s possible for security automation. Every role is an essential driver of Torq’s success as the AI-native autonomous SecOps platform of choice for security teams across the Fortune 500. Excited about our vision and ready to make an impact as we grow? We’d love to see what you can bring to the team.

We are looking for an experienced and passionate R&D Team Lead to join our fast-growing company and lead our AI Engineering team- a new and growing team responsible for building production-grade AI features and infrastructure that power our product. 
AI is central to our product strategy and growth. This team plays a pivotal role in bringing intelligence and automation to every part of our platform. This is a unique opportunity to take part in shaping one of the company’s newest and most strategic initiatives, combining leadership, architecture, and hands-on development in a dynamic environment.

Our team moves fast, thinks creatively, and delivers high-quality, scalable systems using the latest technologies, all while enjoying the ride!

What Will You Do?

• Lead the architecture, design, development, and deployment of AI driven product in production.
• Manage and mentor a small, growing team of talented engineers, setting technical direction and driving excellence.
• You’ll be accountable for the performance, scalability, and adoption of AI-driven features across the product.
• Work hands-on in Go and Python, delivering high-quality, testable, and efficient code.
• Design and implement AI-based logic, automations, and data-driven capabilities deeply integrated into the product.
• Collaborate with other R&D teams to bring intelligent capabilities into the company’s core platform.
• Define and promote best practices for scalability, reliability, and observability.
  
  

What Should You Bring to The Table?

• 5+ years of experience leading software engineering teams and delivering large-scale, production systems end-to-end.
• Proven experience leading the development and delivery of AI-powered products or features in production environments.
• Strong hands-on experience in Go and Python.
• Deep understanding of cloud infrastructure, distributed systems, and scalable architectures (GCP, AWS, or Azure).
• Experience with CI/CD, Kubernetes, Docker, and modern monitoring / logging tools.
• A passion for building and delivering AI-powered capabilities to production.
• Excellent leadership, communication, and mentoring abilities.
• A proactive “Can-Do” attitude and a drive to build something new.