Addlly.ai is a Singapore-based AI content and insights platform helping enterprises create, optimize, and scale digital content using Generative AI.
We build intelligent tools that combine
Large Language Models (LLMs)
,
Retrieval-Augmented Generation (RAG)
, and
custom AI workflows
to deliver human-quality content, SEO insights, and analytics.
Our clients include marketing, media, and e-commerce companies that rely on Addlly.ai to power content automation, market research, and brand storytelling.
Role Overview
We're looking for a
Product Management Intern
passionate about AI, product innovation, and LLM applications.
You'll work closely with the
Chief Product Officer
to design, prototype, and test features that integrate
LLM APIs (OpenAI, Anthropic, Gemini, etc.)
into scalable, real-world products.
This role blends
AI product experimentation
,
prompt engineering
, and
SaaS product management
--ideal for someone who wants to learn how modern AI tools become production-grade software.
Key Responsibilities
Collaborate with product and engineering teams to design new features powered by LLMs.
Conduct
prompt engineering and testing
to optimize accuracy, tone, and performance for various use cases (e.g., content generation, summarization, SEO insights).
Prototype AI workflows using
OpenAI API, Anthropic Claude,
Relevance.ai
, or similar platforms.
Write detailed
product requirement documents (PRDs)
and manage user stories in tools like Jira or Notion.
Assist in
user research
, collect feedback, and refine prompts and UX flows accordingly.
Work with the engineering team to
evaluate API performance
, latency, and scalability.
Support QA, sprint planning, and product documentation for new feature launches.
Analyze product metrics and suggest improvements to enhance user experience and model reliability.
What You'll Learn
Hands-on experience integrating and evaluating
LLM APIs
within a live SaaS product.
Practical skills in
prompt engineering
,
chain design
, and
AI product validation
.
Agile product management workflows for AI-driven systems.
Exposure to
retrieval-augmented generation (RAG)
,
vector databases
, and
multi-agent architectures
.
How to collaborate across engineering, design, and marketing to deliver AI-first features.
Preferred Qualifications
Pursuing or recently completed a degree in Computer Science, Data Science, Business Analytics, or a related field.
Experience or strong interest in