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For Companies At a Glance
- Tasks: Lead engineering projects from concept to production, ensuring timely delivery and quality.
- Company: Dynamic AI-focused company with a fully remote team culture.
- Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
- Why this job: Drive impactful outcomes in a fast-paced setting while leveraging cutting-edge AI tools.
- 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 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 Hull 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 Hull
✨Tip Number 1
Get your networking game on! Reach out to people in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills in real-time! Consider doing a project or a presentation that highlights your engineering prowess and AI expertise. This not only demonstrates your capabilities but also gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Be proactive! If you see a company you love, don’t wait for them to post a job. Reach out directly with a tailored message about how you can help them achieve their goals, especially in AI delivery and execution.
✨Tip Number 4
Apply through our website! We make it easy for you to showcase your skills and experience. Plus, it shows you're genuinely interested in being part of our team, which is always a plus in our books!
We think you need these skills to ace Engineering Manager - Artificial Intelligence in Hull
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 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. Show us how you've used AI to enhance execution and delivery in your previous roles.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity!
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 in past projects. Highlight situations where you took charge of complex systems or products, made tough decisions, and drove outcomes despite challenges. This aligns perfectly with what they’re looking for.
✨Be Ready for Pragmatic Trade-offs
Understand the importance of making pragmatic trade-offs in a fast-paced environment. Think of instances where you had to balance speed with quality or technical debt. Being able to articulate these experiences will demonstrate your ability to thrive under pressure.
✨Showcase Your Problem-Solving Skills
Prepare to discuss how you've identified and removed blockers in previous roles. Share specific strategies you’ve implemented to streamline processes and accelerate delivery. This will highlight your hands-on approach and commitment to execution quality.
