Head of Engineering

General Description

Head of Engineering / VP of Engineering

I’m working with a fast-growing AI company at the forefront of real-time market intelligence, supporting some of the world’s leading financial institutions. They’re now looking for a Head of Engineering (or VP of Engineering) to lead their next stage of technical and team scale-up.

This is a strategic and hands-on leadership role, combining technical vision, team growth, and delivery across products powered by LLMs, forecasting models, and scalable API platforms.

Increase your chances of an interview by reading the following overview of this role before making an application.

Key Responsibilities

• Own the technical strategy and execution across the company’s core products, including real-time APIs, data pipelines, and LLM-powered analytics.
• Collaborate closely with Product and Data Science to deliver a forward-thinking technology roadmap.
• Lead, mentor, and scale a high-performing engineering team (currently ~10), nurturing a culture of ownership, speed, and technical excellence.
• Make key architectural decisions, ensuring system scalability and data infrastructure performance.
• Maintain high engineering standards while remaining close to critical technical choices.
• Recruit top talent and build a strong, inclusive team culture.
• Oversee DevOps, InfoSec, and internal IT, ensuring smooth and secure operations.
• Sit on the leadership team and act as a key bridge between engineering, product, and commercial.

What I’m Looking For

• 8+ years of engineering leadership within B2B SaaS, ideally in AI/ML or data-focused environments.
• Experience growing teams through start-up to scale-up (Series A/B); time in both early-stage and mature environments is a bonus.
• Strong technical foundation in Python, distributed systems, cloud infrastructure (Azure preferred), and modern scalable architectures.
• Solid grasp of Agile practices, continuous delivery, and high-performing lean teams.
• People-first leadership style, with a proven ability to build and nurture high-performing teams.
• Exposure to machine learning, NLP, or financial data products is highly advantageous. xwzovoh
• Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter.

Additional Info