At a Glance
- Tasks: Lead the AI content team to enhance data ingestion and quality for innovative search applications.
- Company: Join a global leader in information and analytics, shaping the future of science and healthcare.
- Benefits: Enjoy generous holidays, health perks, remote work options, and extensive learning resources.
- Other info: Flexible work environment with a focus on well-being and career growth.
- Why this job: Make a real impact by transforming complex data into actionable insights for researchers worldwide.
- Qualifications: Experience in data platforms and strong communication skills are essential.
The predicted salary is between 60000 - 80000 ÂŁ per year.
**Senior Product Manager â AI Content**
About the Team
We build Search and AI platform capabilities that power search, AIâassisted discovery, and recommendation experiences across Elsevierâs product portfolio. Our work supports researchers, clinicians, and innovators worldwide find, understand, and use knowledge from Elsevierâs content by transforming complex information into connected, searchable and actionable knowledge. This role sits within the AI content group, which ensures content from Elsevierâs 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 Elsevierâs 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 tradeâoffs 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 donât 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 nonâtechnical 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. What you do every day will help advance science and healthcare to advance human progress.
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.
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 employer: Elsevier
Contact Detail:
Elsevier Recruiting Team
StudySmarter Expert Advice đ¤Ť
We think this is how you could land Sr Product Mgr I- AI Platform
â¨Tip Number 1
Network like a pro! Reach out to people in your industry on LinkedIn or at events. A friendly chat can lead to opportunities that arenât even advertised yet.
â¨Tip Number 2
Prepare for interviews by researching the company and its products. Knowing their AI platform inside out will help you stand out and show youâre genuinely interested.
â¨Tip Number 3
Practice your pitch! Be ready to explain how your experience aligns with the role of Senior Product Manager. Keep it concise and focus on your impact in previous roles.
â¨Tip Number 4
Donât forget to apply through our website! Itâs 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 Platform
Some tips for your application đŤĄ
Tailor Your Application: Make sure to customise your CV and cover letter for the Sr Product Manager role. Highlight your experience with data platforms and how it aligns with our mission at StudySmarter. We want to see how you can contribute to our AI content group!
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 from your past experiences where you've successfully balanced stakeholder needs and made data-informed decisions.
Highlight Relevant Experience: Donât forget to mention any experience you have with data processing technologies like Airflow or Spark. We love seeing candidates who understand how data supports AI and search use cases, so make that a focal point in your application!
Apply Through Our Website: We encourage you to apply directly through our website. Itâs the best way for us to receive your application and ensures youâre considered for the role. Plus, it shows you're keen on joining the StudySmarter team!
How to prepare for a job interview at Elsevier
â¨Know Your AI Content Inside Out
Before the interview, dive deep into the specifics of AI content management. Understand how content flows through data systems and be ready to discuss technologies like Airflow or Spark. This will show your technical prowess and familiarity with the tools that are crucial for the role.
â¨Articulate Your Vision
Be prepared to articulate your vision for the AI content group. Think about how you would align the roadmap with shared Search & AI platform OKRs. This demonstrates your strategic thinking and ability to drive initiatives that matter to the company.
â¨Stakeholder Management Skills
Highlight your experience in balancing input from multiple stakeholders. Be ready to share examples of how you've made data-informed prioritisation decisions in the past. This will showcase your ability to navigate complex environments and make clear trade-offs.
â¨Communicate Clearly and Confidently
Strong communication skills are key for this role. Practice explaining complex concepts in simple terms, as you'll need to communicate with both technical and non-technical stakeholders. This will help you stand out as a candidate who can bridge gaps between teams.