AI Product Analyst (Developer Community), AI Verify Foundation
LocationIMD - Mapletree Business City, MBC BLK 10
Typefull-time
SeniorityMid
Experience1–3 yrs
Company size10,000+ people
PostedAug 11, 2026 · 2mo ago
Verified live6h ago
At a glanceSummarised by Seekless from the posting.
Must have5
Background in Statistics or Data Science, or a related technical field
1-3 years’ experiences as a data scientist, with strong grounding in experimental design and analysis
Proficiency in Python/ R is required
Deep intellectual capacity combined with a practical, user-centric mindset
Excellent communication skills— excel in storytelling with data, and able to simplify complex concepts for varied audiences
Nice to have1
Experience in AI testing is a plus
Skills
Python
R
[What the role is]
This role is pegged at the Manager level, within the AI Verify Foundation.
About the company
About Us
AI Verify Foundation is an open-source initiative and a wholly owned subsidiary under the Infocomm Media Development Authority (IMDA), dedicated to advancing trustworthy AI. We develop and maintain open-source tools for evaluating LLM applications (Project Moonshot) and predictive ML models (AI Verify Toolkit). Our mission is to empower developers, data scientists, and organisations to build responsible, transparent, and reliable AI systems.
The Role
We’re looking for a Product Analyst to elevate the quality and value of our product offerings to our users. You’ll bridge cutting-edge AI research with real-world evaluation needs, shaping our tools and frameworks for the success of our developer community. You will lead the quality assurance of the datasets and evaluators in our products.
[What you will be working on]
•
Design and run offline A/B experiments to design optimal evaluation pipelines for benchmark tests offered in Project Moonshot, including LLM-as jury.
•
Contribute to the development and maintenance of benchmark datasets, particularly generating realistic test cases in the context of Singapore.
•
Research emerging GenAI evaluation best practices and open-source tools — translate key insights to inform product roadmap, and turn research findings into actionable prototypes for engineering teams.
•
Educate and engage the developer community to build awareness of the challenges in benchmark testing, and champion the solutions provided in our library.
[What we are looking for]
•
Background in Statistics or Data Science, or a related technical field.
•
1-3 years’ experiences as a data scientist, with strong grounding in experimental design and analysis.
•
Proficiency in Python/ R is required. Experience in AI testing is a plus.
•
Deep intellectual capacity combined with a practical, user-centric mindset.
•
Excellent communication skills— excel in storytelling with data, and able to simplify complex concepts for varied audiences.
Position will be commensurate with the candidate’s qualifications and experience.
Hiring process
Please note that only shortlisted candidates will be notified.