Bilingual Mandarin Lead Product Manager (SaaS & AI Agent) Remote (US NC/CA/TX/NJ/IL base required)
Why This Role Stands Out
You will drive the product vision and strategy for an innovative SaaS and AI Agent platform, directly impacting global e-commerce brands. This remote role is ideal for a bilingual Mandarin speaker with a passion for customer discovery and AI, offering significant opportunities for professional growth and influence within a reputable company. If you excel at understanding merchant needs and translating them into compelling product solutions, this is an exciting opportunity to shape the future of e-commerce technology.
Quick Overview
Job Description
Bilingual Mandarin Lead Product Manager (SaaS & AI Agent)
- Your job is to turn what they've built into something US merchants actually want to use and pay for. You'll define the cross-product customer journeys, design the AI Agent use cases, co-own the GTM strategy, and spend real time with merchants figuring out which platform capabilities are worth building next.
- The one-line mission: partner with our Platform Foundation leader to turn our shared data, AI, and infrastructure capabilities into an integrated customer platform for global ecommerce brands.
What You'll Do
Customer Discovery
- Go deep with US mid-market Shopify merchants - understand why they run multiple tools in parallel, which workflows are still manual, and where they'd actually trust an AI Agent to act autonomously
- Spend time with Sales and CS, not just in internal meetings; validate use cases with real lighthouse customers before building Cross-Product Platform Design
- Design end-to-end customer journeys that span multiple products - for example: shipment delay support escalation compensation review recovery, or VIP churn risk marketing suppression human outreach
- Own the unified platform experience: information architecture, navigation, cross-product workflow design
- Define what the AI Agent should do, what it should surface for human review, and how merchants understand what happened and why
AI Agent Product
- Define Agent tasks, tool-calling scope, user permission and approval flows, error handling, and human escalation logic
- Design the merchant-facing onboarding experience for AI features; set the bar for what "the Agent completed the task successfully" actually means
- Communicate clearly to the China team: we're not building another chat interface
- we're building an Agent that completes a measurable merchant task
GTM & Commercialization
- Own platform packaging and pricing decisions: what's included in base plans, what belongs in higher tiers, and how to sell a suite instead of individual apps
- Define the Lighthouse Customer program and expansion ARR playbook
- Partner with Sales and CS to drive cross-product attach rate
Cross-Border Collaboration
- Translate fuzzy US merchant problems into crisp platform capability requirements for the China team Co-own prioritization decisions - not by escalating, but by building shared judgment on what's a real customer problem vs. a nice-to-have
- Reduce information loss across time zones through clear written specs and documented decisions
Required
- 5 8 years of product experience, with 2+ years building AI or LLM-powered products from 0 to 1
- Background in B2B SaaS - ideally multi-product customer platforms (Customer 360, workflow automation, unified inbox, CRM, cross-product journeys, or AI copilot/assistant features)
- Proven ability to do real customer discovery: talking to merchants, running pilots, and turning ambiguous feedback into a clear roadmap
- Fluent in AI application product design - agent task definition, tool calling, human-in-the-loop flows, trust and explainability - without needing to build the underlying model infrastructure
- Comfortable working across time zones with a remote China engineering team; able to reduce coordination overhead through strong written communication
- Heavy user of AI tools (GPT, Claude, Gemini, etc.) - not as a technical requirement, but as a working style
Nice to Have
- Seller perspective - has run an online store or worked directly with ecommerce merchants
- MarTech or post-purchase SaaS background (marketing, support, reviews, retention)
- End-to-end B2B AI Agent product launch experience
- Mandarin Chinese communication ability (spoken or written)
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