Associate AI Product Manager

About the Role

We are looking for a Associate AI Product Manager to support the development and scaling of our AI Engine. This role sits at the intersection of product engineering data and go-to-market teams and plays a key part in ensuring smooth product operations data-driven decision-making and strong customer alignment.

This is an excellent opportunity for someone early in their product or operations career who is curious about AI technologies and eager to grow in a fast-paced global environment.

Core Qualifications & Must-Have Experience

Education & Experience

l Bachelors degree in a relevant field (e.g. Computer Science Engineering Business or related disciplines).

l 13 years of experience in product operations or project-related roles.

l Exposure to Agile product development or project management is expected.

Product & Customer Focus

l Solid understanding of the product lifecycle and how to collect and manage customer requirements.

l Experience using tools such as Jira roadmaps or similar product management systems.

l Familiarity with version and release management processes.

Data-Driven & Analytical Mindset

l Comfortable working with data to track interpret and visualize key metrics.

l Proficiency with basic data tools such as Excel SQL or analytics dashboards.

Technical Aptitude

l Basic understanding of software and technical concepts including APIs cloud services and AI/ML.

l Able to communicate effectively with engineering teams and quickly learn new tools or technologies.

Product Sense & Curiosity

l Strong interest in AI and emerging technologies.

l Ability to learn technical domains quickly and ask thoughtful insightful questions.

Project & Process Skills

l Strong organizational and time-management skills.

l Hands-on experience with basic project management activities such as sprint planning and deliverable tracking.

Communication & Collaboration

l Empathetic and clear communicator able to work closely with customers and cross-functional teams including product engineering and go-to-market teams.

Nice-to-Have / Preferred Experience

l Cloud & Tech Stack: Familiarity with cloud platforms (AWS GCP Azure) or SaaS deployments; experience with CI/CD or DevOps tools is a plus.

l AI/ML Exposure: Any hands-on experience with AI or ML projects (professional or personal). Understanding of AI/ML model lifecycles APIs or LLM-powered features is beneficial.

l B2B / SaaS Background: Experience with enterprise or B2B products such as SaaS platforms APIs or developer tools. Exposure to serving business customers or multiple international markets is a plus.

l Product Ops & Analytics Tools: Experience with product analytics experimentation (A/B testing) or customer tools (e.g. Zendesk Salesforce). Familiarity with tools like JIRA Confluence or ProductBoard is advantageous.

l International Exposure: Comfortable working in multicultural environments or supporting overseas markets.

l Certifications: CSPO / PSPO cloud fundamentals (AWS/GCP) or non-degree courses in data analysis or AI are a plus.

Technical & Business Skill Set

l Data & Analytics: Ability to define and track product metrics (e.g. DAU/MAU churn conversion) generate reports and extract insights.

l Problem Solving: Structured analytical approach to identifying product issues and improving processes. Comfortable breaking down ambiguous problems into actionable steps.

l Project & Process Management: Capable of managing initiatives end-to-end coordinating across teams and prioritizing work using tools such as Kanban boards or roadmaps. Strong attention to detail is essential.

l Technical Literacy: High-level understanding of APIs cloud computing concepts and system architecture. Able to discuss technical trade-offs with engineering partners.

l Business & Monetization Awareness: Basic understanding of revenue models pricing ROI and cost considerations. Ability to support KPI-driven decision-making.

l Customer & Market Insight: Experience translating customer feedback and market insights into clear product requirements. Strong customer-centric mindset.

English Language Requirements

l Professional Working Proficiency: Ability to participate confidently in day-to-day business and technical discussions in English.

l Clear Communication: Able to write clear updates and reports follow detailed technical explanations and actively contribute in meetings.

l English proficiency will be assessed throughout the interview process (spoken and written).

Soft Skills & Working Style

l Strong Communicator & Collaborator: Able to bridge technical and non-technical audiences and thrive in cross-functional teams.

l Adaptable & Proactive: Self-motivated quick learner who performs well in fast-changing environments especially in AI-driven product development.

l Highly Organized: Excellent time management and attention to detail; able to manage multiple priorities simultaneously.

l Customer-Centric: Curious about user behavior and committed to delivering customer value through product improvements.

l Team-Oriented & Positive: Reliable collaborative open to feedback and committed to shared success.

l Resilient & Accountable: Calm under pressure persistent in problem-solving and demonstrates integrity and ownership.

Required Experience:

IC