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For Companies At a Glance
- Tasks: Lead engineering strategy and team growth in a cutting-edge AI company.
- Company: Join a fast-growing AI firm revolutionising real-time market intelligence for top financial institutions.
- Benefits: Enjoy a dynamic work environment with opportunities for remote work and professional development.
- Why this job: Be at the forefront of technology, shaping products that impact the financial sector.
- Qualifications: 8+ years in engineering leadership, preferably in AI/ML or data-focused B2B SaaS.
- Other info: Ideal for those who thrive in fast-paced, innovative settings.
The predicted salary is between 57600 - 84000 £ per year.
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.
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.
- Comfortable working in fast-moving, ambiguous environments where both execution and strategic vision matter.
Head of Engineering employer: Explore Group
Contact Detail:
Explore Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Engineering
✨Tip Number 1
Network with professionals in the AI and engineering sectors. Attend industry conferences, webinars, or local meetups to connect with potential colleagues or mentors who can provide insights into the company culture and expectations.
✨Tip Number 2
Showcase your leadership experience by discussing specific examples of how you've successfully scaled teams in previous roles. Be prepared to share stories that highlight your ability to nurture talent and foster a collaborative environment.
✨Tip Number 3
Familiarise yourself with the latest trends in AI, machine learning, and data analytics. Being well-versed in these areas will not only help you during interviews but also demonstrate your commitment to staying ahead in the field.
✨Tip Number 4
Prepare to discuss your technical vision for the company's products. Think about how you would approach architectural decisions and system scalability, as this role requires a blend of strategic thinking and hands-on technical expertise.
We think you need these skills to ace Head of Engineering
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in engineering leadership, particularly in B2B SaaS and AI/ML environments. Emphasise your achievements in team growth and technical strategy.
Craft a Compelling Cover Letter: Write a cover letter that showcases your leadership style and how it aligns with the company's culture. Mention specific examples of how you've successfully led teams and made architectural decisions in previous roles.
Highlight Technical Skills: Clearly outline your technical skills, especially in Python, distributed systems, and cloud infrastructure. Provide examples of projects where you applied these skills to achieve significant results.
Showcase Team Building Experience: Include details about your experience in recruiting and nurturing high-performing teams. Discuss your approach to fostering an inclusive culture and how you've mentored engineers in the past.
How to prepare for a job interview at Explore Group
✨Showcase Your Technical Vision
As a Head of Engineering, it's crucial to demonstrate your technical vision during the interview. Be prepared to discuss your approach to building scalable architectures and how you would tackle challenges related to real-time APIs and data pipelines.
✨Highlight Team Leadership Experience
Emphasise your experience in leading and mentoring engineering teams. Share specific examples of how you've nurtured a culture of ownership and speed, and how you've successfully scaled teams from start-up to scale-up.
✨Discuss Collaboration with Other Departments
Since this role involves close collaboration with Product and Data Science, be ready to talk about your past experiences working cross-functionally. Highlight how you’ve contributed to technology roadmaps and ensured alignment between engineering and product goals.
✨Prepare for Architectural Decision-Making Scenarios
Expect questions around key architectural decisions and system scalability. Prepare to discuss your thought process when making critical technical choices and how you maintain high engineering standards while ensuring performance.
