VP of Engineering, Permutable AI

Permutable Technologies is a cutting-edge AI company helping the world’s top financial institutions make smarter decisions through real-time market intelligence and LLM-driven news analytics. We’re entering a critical phase of growth - and we’re looking for an exceptional VP of Engineering to help us scale from start-up to industry leader.

You’ll lead and grow a talented team, build a world-class engineering culture, and work hand-in-hand with our commercial and product teams to deliver ML/AI-powered tools that solve real-world problems in commodities and financial markets.

What You’ll Be Doing:

• Own the technical strategy and execution across our core products, including real-time API services, forecasting engines, and LLM-driven insights.
• Partner with Product and Data Science to build and deliver the technology roadmap aligned with our strategic priorities.
• Lead and mentor a growing team (currently ~10, with plans to scale), fostering a culture of technical excellence, ownership, and speed.
• Oversee architecture decisions, system scalability, and efficient data infrastructure design.
• Ensure engineering and delivery standards are met consistently while staying hands-on with key decisions.
• Hire top-tier talent and promote an inclusive and collaborative team environment.
• Oversee IT, DevOps, InfoSec, and Customer Engineering, ensuring smooth internal operations and secure infrastructure.
• Represent engineering on the leadership team, communicating clearly across tech, product, and commercial functions.

• Proven leadership minimum 8 solid years experience in a SaaS B2B environment, ideally in an AI/ML or data-centric company.
• Experience scaling teams in start-ups or Series A/B growth phases (experience at both start-up and enterprise level is a bonus).
• Deep technical fluency across Python, distributed systems, cloud infrastructure (Azure preferred), and scalable architectures.
• Strong understanding of Agile development, continuous delivery, and lean team dynamics.
• People-first leadership style with a track record of mentoring and developing high-performing teams.
• Exposure to machine learning, NLP, or financial data products is highly desirable.
• Ability to operate in ambiguity, balancing rapid execution with strategic long-term thinking.