AI-Driven Product Engineering Manager - Remote

AI-Driven Product Engineering Manager - Remote

Full-Time 43200 - 72000 £ / year (est.) Remote
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At a Glance

  • Tasks: Lead engineering teams to deliver innovative AWS-native platforms and promote AI tool adoption.
  • Company: A leading tech firm focused on growth and inclusivity.
  • Benefits: Remote work, potential for full-time conversion, and a supportive team environment.
  • Other info: Join a dynamic team that values your growth and development.
  • Why this job: Shape the future of technology while fostering a healthy, collaborative workplace.
  • Qualifications: Strong software engineering background and experience in building high-performing teams.

The predicted salary is between 43200 - 72000 £ per year.

A leading technology firm is seeking a Product Engineering Manager to lead and support engineering teams in delivering AWS-native platforms. You'll shape technical directions, promote healthy team environments, and encourage the adoption of AI tools to improve productivity.

The ideal candidate has a strong background in software engineering and experience in building high-performing teams. This contract position offers the potential for full-time conversion and the opportunity to work in an inclusive environment that values growth and development.

AI-Driven Product Engineering Manager - Remote employer: Reonomy

Reonomy is an exceptional employer that values innovation and collaboration within a remote work environment, allowing you to thrive from the comfort of your home in the UK, Germany, France, or Luxembourg. With competitive compensation, a strong focus on professional development, and a culture that encourages mentorship and communication, Reonomy offers a meaningful opportunity for growth in the field of security engineering and threat hunting.

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Contact Details:

Reonomy Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land AI-Driven Product Engineering Manager - Remote

✨Join Local Tech Meetups

Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at Reonomy or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!

✨Contribute to Open Source Projects

Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to Reonomy.

✨Tap into Online Developer Communities

Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like Reonomy.

✨Explore Job Boards Specifically for Tech Roles

Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like Reonomy that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!

We think you need these skills to ace AI-Driven Product Engineering Manager - Remote

AWS
Software Engineering
Team Leadership
AI Tools Adoption
Technical Direction
Productivity Improvement
High-Performing Team Building

Some tips for your application 🫡

Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.

Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Reonomy.

Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Reonomy and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!

Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!

How to prepare for a job interview at Reonomy

✨Brush Up on Your Coding Skills

For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.

✨Know Your Tools and Frameworks

Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Reonomy uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.

✨Showcase Your Projects

Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.

✨Prepare for Behavioural Questions

While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.