CWILL में नवीनतम नौकरियाँ

CWILL
CWILL
4 सूचीबद्ध नौकरियाँ
स्थापना वर्ष 2014
51 – 200 कर्मचारी
SaaSई-कॉमर्सविपणन
CWILL builds post-purchase software for Shopify and direct-to-consumer brands, bringing order tracking, returns, reviews, loyalty, shipping protection, and customer support tools together in one suite. Its products use order and customer data to help merchants answer delivery questions, manage exchanges and store credit, encourage repeat purchases, and understand performance across the customer journey. The suite also includes AI-assisted features for upsells, exchanges, review summaries, and support. CWILL operates in SaaS, ecommerce, and marketing; the supplied profile does not specify current hiring details.

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इस सप्ताह 4 नई नौकरियाँ
CWILL

AI SEO R&D Trainee Full-Stack Engineer (Go Backend, Mandarin)

CWILL
51 – 200 कर्मचारी
SaaSई-कॉमर्सविपणन

As a full-stack Go engineering trainee, you’ll build AI-powered SEO and site-speed tools for Shopify merchants. You’ll develop SEO workflows, AI content features, and backend integrations with mentorship.

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CWILL

Entry-Level Full-Stack Engineer Trainee, Backend (Mandarin-English)

CWILL
51 – 200 कर्मचारी
SaaSई-कॉमर्सविपणन

Join CWILL’s TrackingMore shipment tracking platform team as a full-stack engineering trainee, supporting its product and API for e-commerce brands. Investigate production issues and deliver frontend and backend improvements.

खोलें
CWILL

Bilingual Mandarin Full-Stack Engineer Trainee, Loyalty & Referrals

CWILL
51 – 200 कर्मचारी
SaaSई-कॉमर्सविपणन

Join CWILL as a full-stack engineering trainee supporting its Shopify loyalty and referral products. Triage production issues and contribute frontend, backend, and performance improvements.

खोलें
CWILL

AI Chat R&D Trainee – Full-Stack Engineer (Go Backend, Mandarin)

CWILL
51 – 200 कर्मचारी
SaaSई-कॉमर्सविपणन

Join CWILL as a full-stack engineering trainee building AI customer service and sales tools for Shopify merchants. With mentorship, develop chat features, Shopify integrations, reporting, and dependable Go backend systems.

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