At a Glance
- Tasks: Lead engineering teams to deliver innovative AI-driven products and enhance software development processes.
- Company: Join LexisNexis, a global leader in legal tech and AI solutions.
- Benefits: Enjoy competitive benefits tailored to your location and a supportive work environment.
- Other info: Be part of a diverse team committed to continuous improvement and ethical AI practices.
- Why this job: Shape the future of legal technology while mentoring and developing talented engineers.
- Qualifications: 10+ years in software development and 3+ years in engineering management required.
The predicted salary is between 80000 - 100000 £ per year.
Interested in leading engineers to deliver modern, scalable products that make a measurable impact? Ready to shape engineering culture—mentoring managers, championing quality, and accelerating delivery through continuous improvement?
About the Team
LexisNexis Legal & Professional, which serves customers in more than 150 countries with 11,800 employees worldwide, is part of RELX, a global provider of information-based analytics and decision tools for professional and business customers. Our company has been a long-time leader in deploying AI and advanced technologies to the legal market to improve productivity and transform the overall business and practice of law, deploying ethical and powerful generative AI solutions with a flexible, multi-model approach that prioritises using the best model from today’s top model creators for each individual legal use case.
About the Role
You will provide leadership, direction, and day‑to‑day management for software engineering teams (including offshore partners and interns), ensuring high‑quality delivery across the software development life cycle. Working closely with product, project, and engineering peers, you will drive technical excellence, remove delivery blockers, and report progress and risks to senior leadership while helping shape talent, resourcing, and delivery standards.
Responsibilities
- Own delivery execution across multiple workstreams, ensuring predictable plans, clear milestones, and on‑time releases.
- Partner with product owners, project/program leaders, and principal engineers to align priorities, scope, and technical approach.
- Lead, coach, and develop software engineering teams and people managers to deliver against product and platform goals.
- Champion engineering best practices (code reviews, CI/CD, test‑driven development, secure coding) and drive continuous improvement.
- Ensure adherence to enterprise architecture, quality, and compliance standards through reviews and governance.
- Provide technical leadership and escalation support for complex design decisions, production issues, and critical defects.
- Manage resourcing and capacity planning, including offshore/third‑party partnerships and staffing models (managed services, staff augmentation).
- Track, communicate, and mitigate delivery risks, dependencies, and blockers; report status, outcomes, and metrics to senior leadership.
- Support talent acquisition and growth (interviewing, hiring, onboarding, training, feedback, performance development).
- Collaborate with stakeholders and end users to clarify requirements, validate solutions, and iterate based on feedback.
- Lead the evolution of teams as they transition towards AI‑assisted development.
Requirements
- 10+ years of hands‑on software development experience delivering production systems.
- Solid project planning and delivery management skills (scope, schedule, budget), using common planning and tracking tools.
- Excellent communication and stakeholder management skills, including reporting to senior/executive audiences and collaborating with customers/end users.
- 3+ years of engineering management experience, including leading teams and setting technical direction.
- Demonstrated experience managing multiple teams and concurrent workstreams with competing priorities.
- Proven ability to manage managers and build healthy team culture, accountability, and performance.
- Strong database and data modeling expertise, including design, optimization, and best practices.
- Strong proficiency in modern development stacks (e.g., JavaScript/TypeScript, C#, .NET, Angular and/or React).
- Working knowledge of AI trends and practical ways AI can improve development and delivery outcomes.
- Demonstrable knowledge of using Claude / Codex / Copilot.
- Bachelor’s degree in Engineering/Computer Science (or equivalent practical experience).
We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits. We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.
We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.
Engineering Manager: AI‑Driven Delivery & Leadership employer: 慨正橡扯
At LexisNexis Legal & Professional, we pride ourselves on fostering a dynamic work culture that champions innovation and collaboration. As an Engineering Manager, you will not only lead talented teams in delivering cutting-edge AI-driven solutions but also benefit from extensive professional development opportunities and a commitment to employee well-being. Our global presence and dedication to ethical technology ensure that your contributions will have a meaningful impact on the legal industry while working in a supportive environment that values diversity and inclusion.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager: AI‑Driven Delivery & Leadership
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Engineering Manager role.
✨Tip Number 2
Show off your leadership skills! When you get the chance to chat with potential employers, share examples of how you've successfully led teams and delivered projects. They want to see your impact!
✨Tip Number 3
Prepare for those tricky interview questions! Brush up on your technical knowledge and be ready to discuss AI trends and how they can improve development. Confidence is key!
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Engineering Manager: AI‑Driven Delivery & Leadership
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Engineering Manager role. Highlight your experience in leading teams and delivering scalable products, as well as your knowledge of AI trends. We want to see how you can make an impact!
Showcase Your Leadership Skills:In your application, emphasise your ability to mentor and develop engineering teams. Share specific examples of how you've championed quality and driven continuous improvement in past roles. We love seeing real-life stories!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make it easy for us to read through your achievements and skills. We appreciate clarity!
Apply Through Our Website:Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. We can’t wait to hear from you!
How to prepare for a job interview at 慨正橡扯
✨Know Your Tech Inside Out
Make sure you’re well-versed in the modern development stacks mentioned in the job description, like JavaScript/TypeScript, C#, and .NET. Brush up on your knowledge of AI trends and how they can enhance software delivery, as this will show your technical prowess and relevance to the role.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing multiple workstreams. Be ready to discuss how you've fostered a healthy team culture and driven accountability, as these are key aspects of the Engineering Manager role.
✨Communicate Clearly and Confidently
Practice articulating your thoughts clearly, especially when discussing complex technical concepts. Since you'll be reporting to senior leadership, demonstrating excellent communication skills will be crucial. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities and decision-making skills. Think of scenarios where you had to remove delivery blockers or manage risks effectively. This will help you illustrate your capability to handle real-world challenges in the role.