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- Tasks: Lead the AI content team to enhance data ingestion and improve search capabilities.
- Company: Join a global leader in information and analytics, transforming healthcare and research.
- Benefits: Enjoy generous holidays, health perks, and a supportive work-life balance.
- Other info: Access extensive learning resources and volunteer opportunities for personal growth.
- Why this job: Make a real impact on AI-driven products that advance science and healthcare.
- Qualifications: Experience in data platforms and strong communication skills are essential.
The predicted salary is between 60000 - 80000 £ per year.
About the 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:
As Product Manager for the AI Content group, you will help shape how content is ingested, structured, and prepared to ensure it can be effectively and responsibly used in downstream Search and AI applications. Beyond processing raw content, you will ensure content is enriched by relevant signals such as semantic structure, rights, provenance or other trust signals.
You will own the roadmap for content ingestion and work closely with engineering to build reliable and scalable data ingestion platform capabilities and with data owners to improve content quality, discoverability, and reuse across Elsevier’s product portfolio.
Responsibilities:
- Articulate the vision and set the roadmap for 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 internal 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 product roadmap decisions
- Partner with upstream and downstream teams to define and align on data quality, contracts, and service expectations, making sure content meets the need of downstream Search and AI use cases
- Drive insights on the content catalogue to improve discoverability and adoption: what exists, how it is used, what are reuse opportunities
Requirements:
We encourage you to apply even if you don’t meet every requirement below.
- Experience working on data platform or data-intensive environments serving multiple stakeholders or clients, and collaborating with engineers and data scientists
- Understanding of how content flows through data systems; familiarity with data or processing 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, balancing competing internal stakeholder needs, and make thoughtful data-informed prioritisation decisions
- Strong communication skills, and ability to communicate clearly with a range of 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 for you:
We know that your wellbeing and happiness are key to a long and successful career. These are some of the benefits we are delighted to offer:
- 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
- Save As You Earn share option scheme
- Travel Season ticket loan
- Electric Vehicle Scheme
- Optional Dental Insurance
- Maternity, paternity and shared parental leave
- Employee Assistance Programme
- Access to emergency care for both the elderly and children
- RECARES 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 scheme via Perks at Work
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.
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 Platform in London employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Sr Product Mgr I- AI Platform 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 you might not find on job boards.
✨Tip Number 2
Prepare for interviews by researching the company and its products. Knowing how your skills align with their goals will help you stand out as a candidate.
✨Tip Number 3
Practice your pitch! Be ready to explain how your experience with data platforms and AI can benefit the team. Confidence is key, so rehearse until it feels natural.
✨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 hearing from passionate candidates like you!
We think you need these skills to ace Sr Product Mgr I- AI Platform in London
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for the role. Highlight your experience with data platforms and AI, as well as any relevant projects you've worked on. We want to see how your skills align with our needs!
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical teams, it's crucial to demonstrate your ability to communicate clearly. Use examples in your application that show how you've successfully navigated these conversations in the past.
Highlight Your Data Experience: We’re looking for someone who understands data flow and quality. Be sure to mention any tools or technologies you’ve used, like Airflow or Spark, and how they relate to AI and search use cases. This will help us see your fit for the role!
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 our team at StudySmarter!
How to prepare for a job interview at Elsevier
✨Know Your AI Content Inside Out
Before the interview, dive deep into the specifics of AI content management and ingestion processes. Familiarise yourself with how data flows through systems like Airflow or Spark, as this knowledge will help you articulate your vision for the role and demonstrate your understanding of the technical aspects.
✨Showcase Your Stakeholder Management Skills
Prepare examples that highlight your experience in balancing competing stakeholder needs. Think about times when you made data-informed prioritisation decisions and how you communicated these effectively to both technical and non-technical audiences.
✨Articulate Your Vision Clearly
Be ready to discuss your vision for the AI content group and how it aligns with the broader Search & AI platform objectives. Use clear, concise language to convey your ideas, and back them up with relevant data or insights from your past experiences.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the company’s goals and challenges. Inquire about their current data quality initiatives or how they measure the success of their AI-driven products. This not only demonstrates your enthusiasm but also helps you gauge if the role is the right fit for you.