Product Manager II
About the team:
This position reports to the Director of GAI Platform within the Knowledge Discovery Platform team. You will work as part of a group of Platform Product Managers building GAI enablers, alongside other Platform Product Managers overseeing Search, Recommenders, and Data Services. Knowledge Discovery Platform is used across the Elsevier portfolio to help researchers and healthcare professionals make the most of our vast and trusted scientific content to advance science and create a better future.
About the role:
The Evaluation Product Manager will lead the development of shared tools for evaluating Generative AI (GAI) powered solutions. This is an exciting opportunity to work in a collaborative, fast-paced environment and be at the forefront of building impactful tools that help ensure the highest standards for evaluating AI technologies. This role will support multiple business teams who are building innovative GAI solutions across the Elsevier portfolio and ensure smooth execution of their evaluation activities.
Responsibilities:
Lead the development of tools and processes for manual evaluation by subject matter experts, as well as automated evaluation tools (including leveraging LLMs-as-Judge).
Own requirements gathering, planning, prioritization, refinement, and delivery for the Evaluation tools backlog, working with a dedicated team.
Create training and onboarding material to drive wide awareness and adoption of the evaluation tools across the organization.
Support day-to-day evaluation activities of multiple internal clients of the Evaluation tooling across the business.
Champion evaluation methodologies, standards, and best practices defined by the Data Science organization as well as our Responsible AI Principles in alignment with Elsevier’s guidelines and policies.
Collaborate with Data Analysts to report on insights from the collected evaluation data.
Contribute to continuous improvement of the evaluation processes to satisfy the highest quality standards, improve efficiency over time, and ensure alignment with business goals.
Requirements:
Experience in product management, ideally within business workflow solutions or AI/ML or GAI products.
Demonstrated ability to work closely with cross-functional teams, including engineering, data science, UX, and design.
Ability to prioritize across the competing priorities of multiple stakeholders, balancing short-term and long-term outcomes.
Comfortable working with data (e.g., creating dashboards, running queries). An understanding of AI/ML evaluation methodologies and metrics is a plus.
Excellent communication skills, with the ability to bridge technical and non-technical teams effectively.
Work in a Way That Works for You:
We promote a healthy work/life balance and provide numerous well-being initiatives, shared parental leave, study assistance, and sabbaticals to help you meet both your immediate responsibilities and long-term goals.
Working for You:
We offer comprehensive benefits to support your health and well-being, including:
Comprehensive health insurance for you and your family.
Enhanced health insurance options at competitive rates.
Group life insurance for financial security.
Group accident insurance for protection against accidental death and permanent disability.
Flexible working arrangements to help achieve work-life balance.
Employee assistance programs for support with personal and work-related challenges.
Medical screening prioritizes your well-being.
Modern family benefits, including maternity, paternity, and adoption support.
Long-service awards to recognize dedication.
New baby gift to celebrate parenthood.
Subsidized meals in specific locations.
Various paid time off options, including casual leave, sick leave, privilege leave, compassionate leave, special sick leave, and public holidays.
Free transportation for home-office-home travel in select locations.
About the Business:
Our organization is a global leader in information and analytics, aiding researchers and healthcare professionals in advancing science and improving health outcomes for society. We combine quality information and vast data sets with analytics to support visionary science, research, health education, interactive learning, and exceptional healthcare and clinical practice. Your work contributes to addressing the world’s grand challenges and fostering a more sustainable future. We harness innovative technologies to support science and healthcare, partnering for a better world.
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