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For Companies At a Glance
- Tasks: Lead engineering projects from concept to production in a fast-paced environment.
- Company: Join a fully remote, innovative tech company focused on AI-driven solutions.
- Benefits: Enjoy flexible work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by driving outcomes and leveraging AI tools for success.
- Qualifications: Experience in managing complex systems and a strong execution mindset.
- Other info: Ideal for those who thrive under pressure and value accountability.
The predicted salary is between 48000 - 72000 £ per year.
We are looking for an Engineering Manager who combines strong execution skills with a high sense of ownership. This is not a traditional people-manager role; it is about driving outcomes, making pragmatic trade-offs, and ensuring delivery in a fast-paced environment.
What you'll do:
- Own engineering initiatives from concept to production and execute against a high-pressure roadmap.
- Translate product direction into actionable plans and make clear decisions on priorities, scope, and trade-offs.
- Ensure engineering quality, reliability, and pragmatic technical standards while balancing speed and technical debt.
- Identify and remove blockers, streamline processes, and step in hands-on when needed.
- Maintain high standards for team ownership, output, and accountability.
- Work closely with Product as a delivery co-owner and contribute to senior-level strategy discussions.
AI-Native approach: This role requires an Engineering Manager who is AI-native, not AI-curious. You should:
- Regularly use AI tools to increase personal and team leverage.
- Apply AI to accelerate engineering execution and delivery speed.
- Coach teams on responsible, effective AI usage.
- Demonstrate sound judgment on where AI adds value and where it does not.
The Environment:
- Fully remote team.
- Trade-offs and technical debt are part of day-to-day decisions.
- Outcomes matter more than optics, and timely decisions often outweigh consensus.
- Delivery pressure is real and sustained.
A good fit if you:
- Have owned delivery for complex systems or products.
- Have experience in fast-moving startup or scale-up environments.
- Take accountability for outcomes and make decisions with incomplete information.
- Remove blockers, accelerate delivery, and care about execution quality.
- Use AI tools as a force multiplier for speed, quality, and impact.
Not a fit if you:
- Avoid performance conversations or hard trade-offs.
- Rely heavily on process rather than execution.
Software Engineering Manager in London employer: Global M
Contact Detail:
Global M Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Software Engineering Manager in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the tech industry, especially those who are already in management roles. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and how you've used AI tools to drive outcomes. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by practising common engineering management scenarios. Think about how you would handle trade-offs and blockers in a fast-paced environment. We want to see your thought process and decision-making skills!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Software Engineering Manager in London
Some tips for your application 🫡
Show Your Ownership: When writing your application, make sure to highlight instances where you've taken ownership of projects. We want to see how you've driven outcomes and made tough decisions in fast-paced environments.
Be Pragmatic: In your written application, demonstrate your ability to make pragmatic trade-offs. Share examples of how you've balanced speed with quality and managed technical debt while ensuring delivery.
Emphasise AI Experience: Since we're looking for someone who's AI-native, don't forget to mention your experience with AI tools. Explain how you've used them to enhance execution and delivery speed in your previous roles.
Keep It Clear and Concise: We appreciate clarity! Make sure your application is straightforward and to the point. Use bullet points if necessary to outline your key achievements and skills, and remember to apply through our website for the best chance!
How to prepare for a job interview at Global M
✨Know Your AI Tools
Make sure you’re well-versed in the AI tools relevant to the role. Be ready to discuss how you've used these tools to enhance engineering execution and delivery speed in your previous roles.
✨Demonstrate Ownership
Prepare examples that showcase your sense of ownership in past projects. Highlight situations where you took charge of complex systems, made tough decisions, and drove outcomes despite challenges.
✨Emphasise Pragmatic Decision-Making
Be ready to talk about how you balance speed with quality. Share specific instances where you made pragmatic trade-offs and how those decisions impacted project delivery positively.
✨Showcase Your Problem-Solving Skills
Think of examples where you identified and removed blockers in a fast-paced environment. Discuss how you streamlined processes and stepped in hands-on when necessary to ensure timely delivery.
