AI Product Manager, Regional Operations

Shopee; Philippines; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Shopee in the Philippines is seeking an AI Product Manager to lead end-to-end AI initiatives within Regional Operations or with R&D support when deeper engineering is required.

You will identify high‑impact use cases with Ops, translate them into clear product requirements, drive from concept to POC to full rollout, and monitor outcomes to inform future projects and scaling across markets. This role also leads adoption through training, governance, and sharing best practices regionally.

Qualifications

• Bachelor's degree in Artificial Intelligence, Information Systems, Computer Science, or a related discipline.
• At least 2 years of experience working on AI-related analytics or product management.
• Experience in product management, operations, or AI/automation projects, ideally with LLM-based solutions.
• Strong grasp of business processes and the ability to translate them into product requirements.
• Strong analytical and structured thinking, with a fact- and data-driven approach to defining metrics and storytelling to leadership.
• Excellent stakeholder management and communication across Ops, Product, and technical teams.
• A builder mindset: curious, pragmatic, and eager to experiment and iterate.

Responsibilities

• Deliver AI solutions end to end with clear requirements and stakeholder alignment.
• Measure and govern AI performance with metrics and monitoring.
• Scale successful initiatives regionally, documenting best practices and playbooks.
• Drive AI adoption through training, workshops, and hands-on coaching and manage the AI budget wisely.

Education

Bachelor's degree in Artificial Intelligence, Information Systems, Computer Science, or a related discipline

2+ years of AI analytics or product management experience

Experience in product management, operations, or AI/automation projects (LLM-based preferred)

Strong analytical and structured thinking with data-driven approach

Excellent stakeholder management and cross-functional communication

Builder mindset: curious, pragmatic, and iterative

Job description

Job Description:

• Deliver AI solutions end to end: You'll work with Ops teams to identify high-impact use cases, shape them into clear product requirements, and take them from concept to POC to full rollout, partnering with Ops and Product at key decision points. You'll build directly within Regional Operations or bring in R&D when deeper engineering support is needed, and run post-launch reviews to apply the lessons to future projects.


• Measure and govern AI performance: You'll define success metrics and evaluation frameworks that tie AI quality to business impact, and set up monitoring and human-in-the-loop processes to keep solutions accurate, safe, and reliable. You'll also track impact and report outcomes, trade-offs, and recommendations to senior leadership.


• Scale what works: You'll spot promising local AI initiatives and help turn them into regional solutions, or support local teams to scale on their own, while documenting and sharing best practices, reusable components, and playbooks across markets.


• Drive AI adoption: You'll build AI awareness through training, workshops, and hands‑on coaching, and act as an AI implementation consultant to the team while managing the AI budget wisely. By collecting user feedback and driving change management, you'll make sure solutions are adopted, not just launched.

Requirements:

• Bachelor's degree in Artificial Intelligence, Information Systems, Computer Science, or a related discipline A master's degree is advantageous but not required


• At least 2 years of experience working on AI-related analytics or product management role


• Experience in product management, operations, or AI/automation projects, ideally with LLM-based solutions


• Strong grasp of business processes and the ability to translate them into product requirements


• Strong analytical and structured thinking, with a fact- and data-driven approach to defining and solving problems comfortable defining metrics, evaluating performance, and telling a clear story to leadership


• Excellent stakeholder management and communication across Ops, Product, and technical teams


• A builder mindset: curious, pragmatic, and eager to experiment and iterate