At a Glance
- Tasks: Lead the AI content group to enhance search and discovery through high-quality data.
- Company: Join a global leader in information and analytics, making a real-world impact.
- Benefits: Enjoy flexible working hours, wellbeing initiatives, and study assistance.
- Other info: Work-life balance is a priority, with opportunities for career growth.
- Why this job: Shape the future of AI-driven content and collaborate with diverse teams.
- Qualifications: Experience in data platforms and strong communication skills required.
The predicted salary is between 60000 - 80000 € per year.
Are you excited by shaping how AI‑ready content powers search, discovery, and insight at scale? Do you enjoy working at the intersection of product, data, and engineering to turn strategy into impact?
About our Team
We build Search and AI platform capabilities that power search, AI‑assisted discovery, and recommendation experiences across Elsevier’s product portfolio. Our work supports researchers, clinicians, and innovators worldwide find, understand, and use knowledge from Elsevier’s content by transforming complex information into connected, searchable and actionable knowledge. This role sits within the AI content group, which ensures content from Elsevier’s Data Platform is made available in a clean and enriched form for use in Search and AI use cases. The team plays a critical role in enabling other teams to build impactful AI and search-driven products by providing reliable, high-quality content at scale.
About the Role
This role sets the direction and roadmap for an AI content group, ensuring high‑quality, well‑governed content flows into shared Search and AI platforms. You will work closely with engineering, data, and product partners to deliver scalable ingestion capabilities that support multiple downstream use cases. The role combines strategic ownership with hands‑on collaboration across teams.
Responsibilities
- Articulate the vision and set the roadmap for the AI content group, aligned with shared Search & AI platform OKRs
- Work closely with engineering leadership to evolve and deliver scalable ingestion workflows, balancing flexibility with long‑term maintainability
- Own AI content ingestion initiatives end‑to‑end, translating product needs into clear data and engineering requirements and supporting delivery
- Balance input from multiple stakeholders and make clear, practical trade‑offs using data to guide prioritisation and roadmap decisions
- Partner with upstream and downstream teams to align on data quality, contracts, and service expectations for Search and AI use cases
- Drive insights on the content catalogue to improve discoverability, reuse, and adoption
Requirements
- Experience working in data platforms or data‑intensive environments serving multiple stakeholders, collaborating with engineers and data scientists
- Understanding of how content flows through data systems, including familiarity with technologies such as Airflow, Spark, EMR, or similar tools
- Understanding of how data supports AI, search, or recommendation use cases, and how to assess and improve data quality
- Ability to work across multiple teams, balance competing needs, and make thoughtful, data‑informed prioritisation decisions
- Strong communication skills, with the ability to engage clearly with both technical and non‑technical stakeholders
Work in a Way That Works for You
We promote a healthy work/life balance across the organisation. We offer an appealing working prospect for our people. With numerous wellbeing initiatives, shared parental leave, study assistance, and sabbaticals, we will help you meet your immediate responsibilities and your long‑term goals.
Working Pattern
Working flexible hours – flexing the times when you work in the day to help you fit everything in and work when you are the most productive.
About the Business
A global leader in information and analytics, we help researchers and healthcare professionals advance science and improve health outcomes for the benefit of society. Building on our publishing heritage, we combine quality information and vast data sets with analytics to support visionary science and research, health education and interactive learning, as well as exceptional healthcare and clinical practice. At Elsevier, your work contributes to the world’s grand challenges and a more sustainable future. We harness innovative technologies to support science and healthcare to partner for a better world.
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.
Sr Product Mgr I- AI Content in London employer: Elsevier
At Elsevier, we pride ourselves on being an exceptional employer that champions innovation and collaboration in the AI content space. Our commitment to employee well-being is reflected in our flexible working hours, comprehensive benefits, and a culture that fosters professional growth and development. Join us in a dynamic environment where your contributions directly impact global research and healthcare outcomes, all while enjoying a supportive work-life balance.
StudySmarter Expert Advice🤫
We think this is how you could land Sr Product Mgr I- AI Content in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Knowing how they use AI and data will help you stand out and show you’re genuinely interested.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role. Highlight your skills in data platforms and collaboration with engineers.
✨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 Sr Product Mgr I- AI Content in London
Some tips for your application 🫡
Show Your Passion for AI and Content:When you're writing your application, let your enthusiasm for AI and content shine through! We want to see how excited you are about shaping the future of search and discovery. Share any relevant experiences that highlight your passion.
Be Clear and Concise:We appreciate clarity! Make sure your application is easy to read and straight to the point. Use bullet points where necessary to break down your skills and experiences, especially those related to data platforms and collaboration.
Tailor Your Application:Don’t just send a generic application! Take the time to tailor your CV and cover letter to reflect the specific requirements of the Sr Product Manager role. Highlight your experience with data systems and how it aligns with our mission at StudySmarter.
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 serious about joining our team!
How to prepare for a job interview at Elsevier
✨Know Your AI Content Inside Out
Make sure you understand how AI content flows through data systems. Familiarise yourself with technologies like Airflow and Spark, as well as how they support search and recommendation use cases. This knowledge will help you articulate your vision for the AI content group during the interview.
✨Showcase Your Collaboration Skills
This role requires working closely with engineering, data, and product partners. Be ready to share examples of how you've successfully collaborated across teams in the past. Highlight your ability to balance competing needs and make data-informed prioritisation decisions.
✨Communicate Clearly with All Stakeholders
Strong communication skills are a must! Prepare to demonstrate how you can engage both technical and non-technical stakeholders. Practice explaining complex concepts in simple terms, as this will be crucial when discussing data quality and service expectations.
✨Prepare for Practical Trade-offs
Be ready to discuss how you would handle trade-offs between flexibility and long-term maintainability in ingestion workflows. Think about real-world scenarios where you've had to make tough decisions based on data, and be prepared to share those insights.
