Full-Stack Engineer (Lead Product Engineer) job opportunity at Activate Talent.



Date2025-11-06T21:42:16.394Z bot
Activate Talent Full-Stack Engineer (Lead Product Engineer)
Experience: 5-years
Pattern: full-time
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India

Type: Full-time | long-term independent contractor Reports to: CTO Location: Remote / (EST, CST) time zone About the client A marketing agency specializing in e-commerce growth and conversion optimization , they help brands streamline the customer journey to boost sales and lifetime value. Their services focus on improving site conversion, reducing cart abandonment, and increasing repeat purchases through targeted creative and technical strategies. With an emphasis on data-driven impact, they present clear metrics like higher conversion rates, more repeat buyers, and stronger LTV growth. About the role You're the one in charge to build and scale the first production version of our AI-powered Marketing Intelligence Layer for Shopify brands. You’ll turn prototypes into robust, secure, and fast web applications that integrate deeply with Shopify, Klaviyo, and future MarTech tools. Responsibilities Design, develop, and maintain the main app (front-end + back-end) Integrate with Shopify Admin API, Klaviyo API, and future partner APIs Implement data ingestion flows and user authentication (OAuth 2.0) Build dashboards and insight views that deliver actionable recommendations Work closely with the CTO and AI team to implement API endpoints for LLM interaction Set up CI/CD pipelines, testing, and documentation Required Skills & Experience Frontend: React, Next.js (or Remix), TypeScript, TailwindCSS Backend: Node.js + Express or NestJS, PostgreSQL (via Prisma ORM) DevOps: Docker, GitHub Actions, AWS (Lambda, ECS, or Amplify) Integrations: Experience with Shopify GraphQL Admin API and Klaviyo REST API Data: Understanding of marketing KPIs (LTV, CAC, ROAS, retention) 3–5 years building production SaaS applications with multi-tenant architecture Bonus: experience with Stripe Billing, auth0, or Supabase Auth What Success Looks Like V1 of the product deployed to real Shopify stores <1s API response time for recommendations Stable connection with Shopify/Klaviyo even under heavy usage

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