Full Stack Engineer
Intelligems
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About the role
Role: Full Stack Engineer
Join Intelligems as a hands-on Full Stack Engineer and help scale a profit growth platform used by e-commerce merchants. The team is lean (fewer than 10 engineers) and works closely with product/design as well as non-technical teams like Sales, Support, and Success.
What you’ll do
- Contribute to any part of the stack from day one, including:
- Building new functionality for core experimentation capabilities
- Designing and implementing integrations (“plugins” and related systems)
- Reworking complex user flows end-to-end
- Own feature delivery from ideation through release, handling ambiguous problems over time
- Work across schema/API design and UI polish, balancing implementation details with product input
- Learn the codebase quickly in month one via “learning by doing” on high-impact tasks
- Develop strong customer empathy by understanding merchant needs and considering micro design decisions
Requirements
- Experience owning product/feature development from ideation to delivery
- Ability to manage many moving pieces and hold significant context
- Strong inclination toward exploration, learning, and experimentation
- Deep expertise in areas that can meaningfully level up the team
- Curiosity to learn and try different approaches
- Empathy for customers and focus on customer success
- Collaborative team mindset with the ability to work independently
Nice to have / stack exposure (not required)
- TypeScript in a monorepo
- Frontend: React web app, Redux, Material UI, React Query; hosted on AWS S3/CloudFront
- Backend: Serverless Node.js on AWS Lambda (managed by SST); MySQL; SQS, DynamoDB; Dockerized lambdas
- Plugins: compiled client-side JavaScript (TypeScript)
- Analytics/Events: AWS EventBridge, Kinesis, Flink, Kafka, ClickHouse
About Intelligems
Intelligems is a profit growth platform for e-commerce merchants, helping brands uncover and increase profitability through experimentation and personalization. The company provides A/B testing and dynamic pricing capabilities, turning large-scale transaction and shopping-session data into actionable insights for retailers. It is venture-backed and scaling its engineering team to serve thousands of customers.
Scraped 4/23/2026