[Hiring] Technology Team Lead @Intellisense

Role Description

Lead a team of engineers and data scientists building AI that runs in real mines and processing plants, and help define what an AI-native way of building software looks like.

Our Product Teams combine software engineers and data scientists, working alongside mining domain experts and embedded QA. As a Technology Team Lead, you lead one of these teams: you own how it delivers, how well it ships and how its people grow. Your job is to make sure the team has the clarity, cadence and culture to do its best work, with AI coding agents and modern tooling built into everyday practice and human judgement firmly in the loop.

What you'll do

• Own end-to-end delivery for your team: sprint execution, release quality, risks and dependencies.
• Line-manage software engineers and data scientists: regular 1:1s, OKRs, development plans and fair, open performance conversations.
• Lead the adoption of an AI-first development lifecycle: coding agents, automated tooling and development harnesses, with the right reviews and tests.
• Hold the team accountable for technical quality, while empowering senior engineers and data scientists to lead design decisions.
• Set risk-based code and model reviews, and work with QA and DevOps on testing, verification and observability.
• Lead hiring and onboarding for your team and contribute to capacity planning.
• Turn company strategy into clear priorities, as part of the technology leadership team.

Qualifications

• A background as a Software Engineer or Data Scientist at senior level, with the breadth to understand both disciplines.
• Experience of leading teams to deliver products or projects.
• A track record of leading through influence: mentoring, raising standards, improving how a team works.
• A clear understanding of what people management involves, and a commitment to transparent leadership and psychological safety.
• Hands-on use of AI-assisted development, with a clear view of why human oversight and testing still matter.
• Strong communication, pragmatic problem-solving and stakeholder management.

Requirements

• Experience of a structured AI-native SDLC, agentic workflows or tool / sandbox harnesses.
• Championing automated testing and verification with QA.
• Industrial, IoT, time-series or process-data products. Mining knowledge is not required.

Benefits

• Unlimited holidays: we trust you to manage your time and your energy.
• True flexibility: work in a way that brings out your best results.
• Performance bonuses.
• A diverse team spanning the UK, Ireland, Spain, Chile, Saudi Arabia, Australia and beyond.

Location

Cambridge, UK, or remote within the UK.

Our process

A short call with our People team, a technical and leadership interview, a meeting with the team, and a final meeting with the CEO. All stages can be held online. We aim to complete the process within 8 weeks.

Inclusion

We want our teams to reflect the range of people who use and are affected by our technology. We welcome applications from everyone and will make reasonable adjustments at any stage: just tell us what you need. If you meet most, but not all, of the essentials, we would still like to hear from you.