At a Glance
- Tasks: Lead engineering teams to deliver innovative AI-driven products and improve software development processes.
- Company: Join LexisNexis, a global leader in legal technology and analytics.
- 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 solutions.
- Why this job: Shape the future of legal tech 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 in London employer: 慨正橡扯
At LexisNexis Legal & Professional, we pride ourselves on fostering a dynamic work culture that prioritises 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. With a global presence and a focus on ethical technology, our employees are empowered to make a meaningful impact in the legal industry while enjoying a supportive and inclusive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Engineering Manager: AI‐Driven Delivery & Leadership in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to engineering management. Think about how you would lead teams, tackle challenges, and drive quality—this will help you shine when it counts!
✨Tip Number 3
Showcase your leadership style! During interviews, share specific examples of how you've mentored teams, improved processes, or delivered successful projects. This will demonstrate your fit for the role and your ability to make an impact.
✨Tip Number 4
Don't forget to 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 are proactive about their job search!
We think you need these skills to ace Engineering Manager: AI‐Driven Delivery & Leadership in London
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, managing projects, and delivering high-quality software. We want to see how your skills align with our mission at StudySmarter!
Showcase Your Leadership Skills:In your application, emphasise your ability to mentor and develop engineering teams. Share specific examples of how you've championed best practices and driven continuous improvement in past roles. We love seeing candidates who can inspire others!
Be Clear and Concise:When writing your application, keep it straightforward and to the point. Use bullet points where possible to make your achievements stand out. We appreciate clarity and want to quickly understand what you bring to the table.
Apply Through Our Website:We encourage you to submit your application directly through our website. This ensures that your application gets to the right people and helps us streamline the process. Plus, it’s super easy to do!
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 technologies mentioned in the job description, like JavaScript, C#, and AI tools. Brush up on your knowledge of modern development stacks and be ready to discuss how you've used them in past projects.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading teams and managing multiple workstreams. Think about specific challenges you've faced and how you’ve successfully guided your team through them, especially in a fast-paced environment.
✨Understand the Company Culture
Research LexisNexis and their approach to AI-driven solutions. Be ready to discuss how you can contribute to their engineering culture and what best practices you would champion to enhance team performance and delivery.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills and decision-making abilities. Prepare to discuss how you would handle delivery blockers or manage stakeholder expectations, using real-life examples to illustrate your thought process.
