At a Glance
- Tasks: Lead engineering teams to build innovative AI capabilities and ensure high-quality outcomes.
- Company: Join a forward-thinking tech company focused on generative AI solutions.
- Benefits: Enjoy generous holidays, health perks, and extensive learning resources.
- Other info: Dynamic hybrid role with opportunities for personal and professional growth.
- Why this job: Make a real impact in AI while developing your leadership skills.
- Qualifications: Experience in software engineering and team leadership is essential.
The predicted salary is between 80000 - 100000 £ per year.
The AI Platform team builds shared AI capabilities used across multiple products. Our goal is to help teams safely and effectively integrate generative AI without needing to build core systems from scratch. We create reusable services, tools, and platform solutions that support scalability, security, and reliability while enabling teams to move efficiently.
Responsibilities
- Team Leadership & Delivery Support: lead one or more engineering teams with clear goals and priorities; collaborate with technical leaders to deliver reliable, high‑quality outcomes; monitor progress and address risks, blockers, and dependencies.
- Planning & Alignment: collaborate with product, engineering, and stakeholders to set priorities; balance immediate delivery needs with long‑term sustainability; encourage alignment across teams and shared platform goals.
- Technical Oversight & Strategy: partner with Technical Leads and senior stakeholders to shape engineering strategy and platform direction; support strong technical standards through design and code reviews; help teams balance speed, quality, reliability and delivery; provide hands‑on support during critical periods.
- Operational Excellence: promote practices in testing, delivery pipelines, and system reliability; track and improve key indicators such as delivery, stability, and maintainability; drive continuous improvements in engineering processes, developer experience, and platform reliability.
- Communication & Collaboration: encourage open and clear communication across the wider team; share progress, challenges, and trade‑offs transparently; participate in planning, roadmap discussions, and cross‑team coordination; influence decisions beyond the immediate team.
- People Management & Development: support inclusive hiring and onboarding practices; provide coaching, feedback, and growth opportunities; foster a collaborative, respectful, and supportive team environment focused on continuous improvement; maintain strong engineering practices.
Qualifications & Experience
- Deep experience in software engineering and team leadership or mentorship within engineering.
- Ability to manage and work in evolving technical environments and manage priorities.
- Knowledge of backend systems, distributed architectures, or cloud platforms.
- Experience collaborating across teams and with technical stakeholders.
- Ability to review code and provide constructive feedback (Python is a plus).
- Strong communication and organisational skills.
Nice to Have
- Experience with AI/LLM tools or modern backend frameworks (e.g., LangChain, LangGraph) and backend service frameworks (e.g., FastAPI).
- Familiarity with cloud‑native technologies (e.g., Kubernetes).
- Experience supporting platforms used by multiple, downstream consumer teams.
- Experience managing teams working on internal developer tools or shared platforms.
Benefits
- Generous holiday allowance with the option to buy additional days.
- Health screening, eye care vouchers and private medical benefits.
- Wellbeing programs.
- Life assurance.
- Access to a competitive contributory pension scheme.
- Long service awards.
- Save As You Earn share option scheme.
- Travel season ticket loan.
- Maternity, paternity and shared parental leave.
- Access to emergency care for both the elderly and children.
- RE CARES days, giving you time to support the charities and causes that matter to you.
- Access to employee resource groups with dedicated time to volunteer.
- Extensive learning and development resources.
- Employee discounts via Perks at Work.
Equal Opportunity Employer
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.
Software Engineering Manager, AI Platform employer: LexisNexis Risk Solutions
As a Software Engineering Manager for the AI Platform, you will join a dynamic and innovative team that prioritises collaboration, inclusivity, and continuous improvement. Our hybrid work model in the UK or Amsterdam offers flexibility while providing access to extensive learning and development resources, generous benefits, and a supportive work culture that values employee wellbeing and growth. With a focus on cutting-edge technology and shared platform goals, this role presents a unique opportunity to lead impactful projects in a thriving environment.
StudySmarter Expert Advice🤫
We think this is how you could land Software Engineering Manager, AI Platform
✨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 Software Engineering Manager role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your projects, especially those related to AI and backend systems. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Ace the interview! Research common interview questions for engineering managers and practice your responses. Be ready to discuss your leadership style and how you handle team dynamics, as well as your technical expertise.
✨Tip Number 4
Apply through our website! We make it easy for you to submit your application directly, and it shows you're genuinely interested in joining our team. Plus, it helps us keep track of your application better!
We think you need these skills to ace Software Engineering Manager, AI Platform
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter to highlight your experience in software engineering and team leadership. We want to see how your skills align with our AI Platform goals, so don’t hold back on showcasing relevant projects!
Showcase Your Technical Skills:Don’t forget to mention your knowledge of backend systems and cloud platforms. If you’ve worked with AI tools or modern frameworks, let us know! We love seeing candidates who can bring technical expertise to the table.
Communicate Clearly:Your written application is a chance to demonstrate your communication skills. Keep it clear and concise, and make sure to convey your passion for leading teams and driving operational excellence. We appreciate transparency and clarity!
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 the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at LexisNexis Risk Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your software engineering knowledge, especially around backend systems and cloud platforms. Be ready to discuss your experience with distributed architectures and any relevant AI tools you've worked with. This will show that you're not just a manager but also technically savvy.
✨Showcase Your Leadership Style
Prepare examples of how you've led teams in the past, focusing on how you set clear goals and priorities. Think about times when you’ve successfully collaborated with technical leaders to deliver high-quality outcomes. This will demonstrate your ability to lead effectively in a dynamic environment.
✨Communicate Clearly and Openly
Practice articulating your thoughts clearly, especially when discussing complex topics. Highlight your experience in fostering open communication within teams and how you handle challenges transparently. This is crucial for a role that requires collaboration across various stakeholders.
✨Emphasise Continuous Improvement
Be prepared to discuss how you've driven operational excellence in previous roles. Share specific examples of how you've improved engineering processes or developer experiences. This aligns perfectly with the responsibilities of promoting practices in testing and system reliability.
