At a Glance
- Tasks: Lead engineering teams to deliver innovative AI solutions and ensure project alignment.
- Company: Join a forward-thinking tech company focused on AI and collaboration.
- Benefits: Enjoy generous holidays, health perks, and extensive learning opportunities.
- Other info: Hybrid role with a focus on continuous improvement and career growth.
- Why this job: Shape the future of AI while developing your leadership skills in a dynamic environment.
- Qualifications: Experience in software engineering and team leadership; strong communication skills.
The predicted salary is between 80000 - 100000 £ per year.
Location: Hybrid role, UK or Amsterdam based
About the Team
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.
About the Role
We are looking for a Software Engineering Manager to support engineering teams within the AI Platform. You will help guide delivery, support team growth, and ensure alignment across a complex and evolving environment. This role combines people leadership, delivery coordination, and technical oversight. While not focused on day-to-day coding, you will bring technical judgment, contribute to design discussions, and offer support when needed.
Key Responsibilities
- Team Leadership & Delivery: Support one or more engineering teams with clear goals and priorities. Partner with technical leaders to deliver reliable and high-quality outcomes. Monitor progress and help 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 when needed.
- 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 through collaboration and engineering leadership.
- People Management & Development: Support inclusive hiring and onboarding practices. Support career development – provide coaching, feedback, and growth opportunities. Foster a collaborative, respectful, and supportive team environment focused on continuous improvement. Partner with technical leaders to maintain strong engineering practices.
Skills & 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.
- Access to extensive learning and development resources.
- Access to employee discounts via Perks at Work.
EEO Statement
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: RELX
Join a forward-thinking company that prioritises innovation and collaboration in the AI space, offering a hybrid work environment in the UK or Amsterdam. With a strong focus on employee growth, generous benefits including a competitive pension scheme, wellbeing programs, and extensive learning resources, we foster a supportive culture that values inclusivity and continuous improvement. As a Software Engineering Manager, you'll play a pivotal role in shaping the future of our AI Platform while enjoying a rewarding work-life balance and opportunities to make a meaningful impact.
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 folks in your industry on LinkedIn or at meetups. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects and contributions. This gives potential employers a taste of what you can do beyond your CV.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to team leadership and technical oversight. We want to see how you handle real-world challenges!
✨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!
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 the role of Software Engineering Manager for our AI Platform.
Showcase Your Technical Skills:Even though this role isn't all about coding, we still want to know about your technical expertise. Mention any relevant experience with backend systems, cloud platforms, or AI tools that could benefit our team.
Highlight Your Leadership Experience:We’re looking for someone who can guide teams and foster a collaborative environment. Share examples of how you've supported team growth and managed projects effectively in your previous roles.
Apply Through Our Website:To make sure your application gets the attention it deserves, apply directly through our website. It’s the best way for us to keep track of your application and get back to you quickly!
How to prepare for a job interview at RELX
✨Know Your Tech Inside Out
As a Software Engineering Manager, you'll need to demonstrate your technical judgement. Brush up on backend systems, distributed architectures, and cloud platforms. Be ready to discuss how you've contributed to design discussions and code reviews in the past.
✨Showcase Your Leadership Skills
This role is all about team leadership and delivery coordination. Prepare examples of how you've supported engineering teams, set clear goals, and helped address risks. Highlight your experience in fostering a collaborative environment and supporting team growth.
✨Align with Company Goals
Understand the company's mission and how the AI Platform fits into it. Be prepared to discuss how you would balance immediate delivery needs with long-term sustainability. Show that you can encourage alignment across teams and shared platform goals.
✨Communicate Clearly and Effectively
Strong communication skills are key for this role. Practice articulating your thoughts on complex topics clearly and concisely. Be ready to share how you've influenced decisions beyond your immediate team through collaboration and open communication.
