Associate AI Product Manager

About Agora

Agora is the global leader in real-time engagement, providing developers with simple, flexible, and powerful APIs to embed real-time conversational AI, voice, video, interactive live streaming, and chat into their applications and IoT devices. Headquartered in Santa Clara, CA, Agora is trusted by over 1,700 leading organizations across the globe to power best-in-class real-time experiences from social media and live shopping to education and telehealth.

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 Bachelor’s degree in a relevant field (e.g., Computer Science, Engineering, Business, or related disciplines).

l 1–3 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.

[]