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For Companies At a Glance
- Tasks: Lead engineering initiatives from concept to production in a fast-paced AI environment.
- Company: Join a dynamic team focused on innovative AI solutions.
- Benefits: Fully remote work, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact by driving outcomes and leveraging AI tools.
- Qualifications: Experience in delivering complex systems and using AI effectively.
- Other info: Fast-moving environment with a focus on accountability and execution.
The predicted salary is between 36000 - 60000 £ 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’s 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:
- Prefer facilitation over decision-making.
- Avoid performance conversations or hard trade-offs.
- Rely heavily on process rather than execution.
- View AI as optional or experimental.
Engineering Manager - Artificial Intelligence in Basildon employer: Global M
Contact Detail:
Global M Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Engineering Manager - Artificial Intelligence in Basildon
✨Tip Number 1
Get your hands dirty! When you’re in the interview, don’t just talk about your past experiences; dive into specific examples where you’ve driven outcomes and made tough decisions. Show us how you’ve tackled challenges head-on!
✨Tip Number 2
Be ready to discuss AI! Since we’re looking for someone who’s AI-native, come prepared with examples of how you’ve used AI tools to boost team performance or streamline processes. We want to see your passion for leveraging AI in real-world scenarios.
✨Tip Number 3
Show us your problem-solving skills! During the interview, be proactive in identifying potential blockers and suggest ways to overcome them. This will demonstrate your ability to think on your feet and your commitment to delivering results.
✨Tip Number 4
Don’t forget to ask questions! Engage with us by asking about our current projects, team dynamics, and how we approach trade-offs. This shows your genuine interest in the role and helps you assess if we’re the right fit for you too.
We think you need these skills to ace Engineering Manager - Artificial Intelligence in Basildon
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 application, focus on your ability to make pragmatic trade-offs. Share examples of how you've balanced speed with quality and managed technical debt while still delivering results.
Emphasise AI Experience: Since we're looking for someone who's AI-native, don't forget to mention your experience with AI tools. Tell us how you've used AI to enhance execution and delivery in your previous roles.
Keep It Clear and Concise: Make sure your application is straightforward and to the point. We appreciate clarity, so avoid jargon and fluff. Just tell us what you've done and how it relates to the role!
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. This shows that you’re not just AI-curious but truly AI-native.
✨Demonstrate Ownership
Prepare examples that showcase your sense of ownership and accountability. Talk about specific projects where you drove outcomes, made tough decisions, and removed blockers. This will highlight your ability to thrive in a fast-paced environment.
✨Emphasise Pragmatic Decision-Making
Be ready to discuss how you balance speed with quality and technical debt. Share instances where you had to make pragmatic trade-offs and how those decisions impacted project delivery. This will resonate well with their focus on execution over optics.
✨Engage in Strategic Discussions
Since this role involves contributing to senior-level strategy discussions, prepare to talk about how you’ve collaborated with product teams in the past. Highlight your experience in translating product direction into actionable plans and how you’ve influenced strategic decisions.
