AI SEO Product Management Trainee - Bilingual Mandarin Required

CWILL•Cary, NC

26d•$60,000 - $85,000•Hybrid

About The Position

CWILL is a post-purchase and retention suite for Shopify brands. The AI SEO Product Management Trainee joins the SEO & Speed team, which builds an AI-powered SEO and site speed app for Shopify merchants. The product helps merchants improve content quality, keyword coverage, indexing, organic traffic, and visibility in AI search (GEO). The trainee program provides hands-on experience with the full product management workflow. The successful candidate will initially support core product tasks and, with experience, may grow to independently own a product module or workstream. The role is based in Cary, North Carolina, and operates in a hybrid remote setting. Relocation is required, and CWILL is unable to hire in other states.

Requirements

Recent graduate from a US university with a BS or MS, or within 1–2 years of graduation.
Mandarin Chinese communication ability.
Strong written and verbal English communication skills.
Genuine interest in internet products, SaaS, or the tech industry, and an interest in building a career in product management.
Sensitivity to user experience and product details, with a desire to understand and improve user problems.
Curiosity about new technology and willingness to learn continuously and move quickly.
Ability to absorb new business contexts, product logic, and technical concepts quickly.
Structured thinking and ability to break down complex problems, identify core issues, and form clear conclusions.
Ability to ground product decisions in data and user facts.
Strong ownership, initiative, and follow-through, including coordinating resources and resolving uncertainty.
Results-oriented, detail-oriented, and thorough, balancing execution speed with quality.
Ability to collaborate across functions and build effective working relationships with engineering, design, and business teams.
Openness to feedback and a constructive, practical approach to discussions.

Nice To Haves

Any major is welcome; preferred fields include Computer Science, Information Systems, Business Analytics, Engineering, Economics, or Design.
Internship experience in product management, product operations, business analysis, user research, software development, or a SaaS company.
Basic understanding of SEO, including keywords, indexing, or on-page optimization, or hands-on experience growing a website or online store.
Interest in AI search tools such as ChatGPT, Perplexity, or Google AI Overviews and in generative content.
Experience with Google Search Console, Ahrefs, or SEMrush.

Responsibilities

Help plan and design site audits, keyword analysis, page optimization suggestions, GEO strategies, AI-generated content, and SEO reports.
Test and improve AI-generated content and recommendations to ensure merchants can trust the results.
Improve onboarding, setup flows, and presentation of results so merchants understand what to do next.
Collaborate with marketing and growth teams on pricing plans, conversion paths, and retention.
Collect and analyze user feedback, customer requests, product data, and market information to identify product improvement opportunities.
Participate in feature planning, ideation, user-flow development, and solution design.
Under PM guidance, produce requirement documents, user flows, wireframes, functional specifications, and acceptance criteria.
Track features from discovery through design, engineering, and launch, ensuring problems are clearly defined and solutions are delivered correctly.
Monitor product data and user feedback after launches, identify issues, and propose improvements.
Join user interviews and feedback sessions with Shopify merchants and ecommerce brands.
Track competitors and prepare structured competitive analyses.
Turn user insights and market signals into actionable product recommendations.
Work with engineering, design, QA, operations, and customer success to support high-quality product delivery.
Track project progress, flag issues early, follow through on commitments, and complete launch retrospectives.
Develop product planning, user research, data analysis, and project management skills through hands-on work.
Take on increasing responsibility over time, potentially owning a product module or workstream independently.