AI Product Manager - Business Intelligence & Analytics

Shopee • Commerce • Bachelor's Degree • 1 month ago
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Salary
≈ $15k – $38k per year (Estimated)
Location
In office (Jakarta)
Seniority
Middle · 3+ years exp

Confirmed on the employer's own hiring board on Oct 26, 2026. First seen by Alion on Sep 24, 2026. Shopee scores A on the Alion truth index.

Overview
Company
Impact
Profile match

Shopee

Shopee is a multinational technology company and e-commerce marketplace platform operating as a subsidiary of Sea Limited. The company provides a hybrid B2C and C2C digital marketplace offering retail products, integrated digital payments and financial services via ShopeePay/SeaMoney, and end-to-end logistics and fulfillment solutions through SPX Express. Headquartered in Singapore, the platform serves millions of consumers and merchant partners across Southeast Asia, Taiwan, and Latin America.
shopee.com • HQ: Singapore • Marketplaces • 1001-5000 employees • Est. 2015
Tech stack of Shopee
  • Own the AI analytics roadmap - Define and execute the product strategy for AI-driven BI tools, aligned with business and data strategy
  • Identify and solve BI challenges - Pinpoint where AI can unlock value in reporting, self-service analytics, and process automation
  • Build products from concept to launch - Partner with stakeholders, data engineers, and analysts to design solutions, define requirements, and deliver on time
  • Drive measurable impact - Launch pilots, scale adoption, and track metrics (adoption rates, query efficiency, cost savings, time-to-insight) to prove ROI
  • Champion AI adoption - Help teams integrate AI into daily analytics workflows and build an AI-first culture.
  • Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
  • 3-5 years product management experience, ideally in data or analytics.
  • Experience with AI/LLM technologies, AI agents, or analytics automation, as well as familiarity with LLM orchestration frameworks.
  • Strong BI fundamentals - Understanding of reporting systems, data modeling, and analytics platforms.
  • Stakeholder management skills - Ability to align and influence across business, engineering, and data teams.
  • Data-driven problem solver - Analytical mindset with proven ability to drive decisions with data.
  • Self-starter mentality - Comfortable owning initiatives independently from ideation to launch.
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