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- Tasks: Lead engineering squads to build AI-powered features in a fast-paced SaaS environment.
- Company: Join a leading AI SaaS organisation that's all about innovation and growth.
- Benefits: Competitive salary, flexible work options, and opportunities for professional development.
- Other info: Dynamic workplace with a focus on continuous improvement and career growth.
- Why this job: Make a real impact by driving AI-first development and mentoring talented engineers.
- Qualifications: Experience in software engineering and team management, with a strong understanding of AI.
The predicted salary is between 80000 - 100000 £ per year.
An exciting opportunity has arisen for a very strong Software Engineering Manager to join one of the fastest growing AI SaaS organisations, best in what they do and real an AI first business. Their engineering teams are shipping AI-powered features into production right now, not experimenting, not planning, BUILDING!!!
You’ll lead three engineering squads building AI-first features into our SaaS products. This means owning both the people and the projects: coaching engineers, running delivery, and making sure the technical direction is sound. Your teams include fast-moving, highly skilled developers who are deep in AI. You need to be a credible technical partner to them, not just a process manager who delegates the hard questions. This role sits at the intersection of hands‑on technical leadership and people management.
You’ll be reviewing architectural decisions, challenging implementation choices, and pushing AI-first thinking across development and QA workflows while also running 1:1s, growing careers, and keeping delivery on track.
- Lead three engineering squads delivering AI-powered features into our SaaS products for accountancy, payroll, and practice management.
- Provide genuine technical guidance to your squads not just repeat what your team tells you.
- Champion AI-first development: ensure developers and QAs are using AI tools effectively as part of their daily workflows.
- Run agile delivery with a focus on outcomes, not ceremonies.
- Coach, mentor, and grow engineers through structured 1:1s, career development, and honest feedback.
- Collaborate with product to translate business requirements into well‑scoped technical work.
- Drive continuous improvement in how we build, test, and ship software.
- Hire well. You’ll help us find and onboard engineers who raise our bar.
- Communicate delivery status, risks, and technical trade-offs to stakeholders clearly and without surprises.
Must Haves
- You’ve been a software engineer. Not a project manager who worked near engineers, someone who has written production code and understands what it takes to build great products.
- You’ve managed engineering teams and can point to teams you’ve built, grown, or turned around.
- You understand AI beyond the surface. You can explain how an LLM works, distinguish RAG from fine‑tuning, and evaluate an architecture proposal that includes AI without needing someone to translate it for you.
- You have genuine curiosity about AI. You experiment with tools and models, follow the field, and build things using AI or containing it.
- Our engineers live in this space. You need to be a credible conversational partner.
- You know what great agile software development looks like and have a track record of delivering quality software, preferably SaaS or e‑commerce.
- You can hold the room with technically strong engineers. You’ll earn respect through competence, not title.
Preferred
- Hands‑on experience building AI‑powered features, not just adopting AI developer tools.
- Experience managing multiple teams simultaneously.
Interested? Please apply and one of the team will be in touch!
Software Engineering Manager employer: InterCity Partners Ltd
Contact Detail:
InterCity Partners Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager
✨Tip Number 1
Network like a pro! Reach out to your connections in the AI and SaaS space. Attend meetups, webinars, or even local tech events. The more people you know, the better your chances of landing that Software Engineering Manager role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving AI. This is your chance to demonstrate your hands-on experience and technical prowess, making you stand out to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of AI and agile methodologies. Be ready to discuss architectural decisions and how you've led teams in the past. Confidence in your technical abilities will impress interviewers!
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it gives you a direct line to us, making it easier to showcase your passion for AI and software engineering.
We think you need these skills to ace Software Engineering Manager
Some tips for your application 🫡
Show Your Technical Side: Make sure to highlight your hands-on experience as a software engineer. We want to see that you’ve been in the trenches, writing code and building products, not just managing from the sidelines.
Be Clear About Your Leadership Style: When you describe your management experience, focus on how you’ve coached and developed teams. We’re looking for someone who can genuinely grow engineers and lead them through challenges, so share specific examples!
Demonstrate Your AI Knowledge: Since we’re an AI-first business, it’s crucial to show your understanding of AI concepts. Talk about your curiosity and any projects where you’ve used AI tools or built AI-powered features. This will help us see you as a credible partner for our engineering squads.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to keep track of your application and ensure it gets the attention it deserves. We can’t wait to hear from you!
How to prepare for a job interview at InterCity Partners Ltd
✨Know Your AI Inside Out
Make sure you can explain how LLMs work and the differences between RAG and fine-tuning. Brush up on your AI knowledge so you can engage in meaningful conversations with the engineering teams. They’ll appreciate your depth of understanding!
✨Showcase Your Leadership Style
Prepare to discuss your experience in managing engineering teams. Be ready to share specific examples of how you've coached and mentored engineers, and how you’ve driven successful project deliveries. This will demonstrate your hands-on approach and ability to lead effectively.
✨Emphasise Agile Methodologies
Familiarise yourself with agile principles and be prepared to talk about how you’ve implemented them in past roles. Highlight your focus on outcomes rather than just processes, as this aligns with the company’s emphasis on agile delivery.
✨Communicate Clearly and Confidently
Practice articulating technical concepts and project statuses clearly. You’ll need to communicate risks and trade-offs to stakeholders without jargon. Being able to convey complex ideas simply will show that you’re a credible partner for both technical and non-technical audiences.