amp Tech Stack

AI-powered home strength training system with hardware and software

Software Development New York, New York 51–200 employees Privately Held

amp builds an AI-driven strength training platform combining hardware, mobile apps, and cloud backend. The tech stack reveals a commerce-first architecture (D2C e-commerce backend, serverless microservices on AWS) layered with data infrastructure (dbt + Snowflake) and emerging AI agents (LangChain, LlamaIndex, CrewAI). Hiring is engineering-heavy with senior-skewed seniority, but the pain-point list signals acute scaling pressures: data infrastructure, backend performance, and operational bottlenecks (manual workflows, refund delays) suggest the product is growing faster than internal systems can support.

Tech Stack 42 technologies

Core Stackdbt Snowflake AWS DynamoDB Elasticsearch Node.js GraphQL TypeScript Python LangChain Slack Jira Monday.com Kotlin Jetpack Compose Terraform CloudFormation Kubernetes Prometheus Grafana LlamaIndex CrewAI Excel Google Sheets Android WhatsApp CRM Altium Designer LTspice PSpice+9 more

What amp Is Building

◆Challenges

Scaling data infrastructure
Scaling fast
Performance and efficiency challenges
Data quality and governance
Scaling backend for high growth
Scaling high-performance backend systems
Operational inefficiencies
Manual information flow
Refund processing delays
Self-serve analytics adoption

▲Active Projects

D2c e-commerce platform backend
Dbt + snowflake transformation layer
Data protection compliance across jurisdictions
Serverless microservices architecture
Next-generation strength training system backend
Internal ai agents and automated workflows
Predictive ai systems to optimize inventory management
Real-time dashboards providing actionable insights
New native android application
Data quality framework implementation

Hiring Activity

Minimal15 roles · 1 in 30d

Department

Engineering

Data

Legal

Ops

Sales

Support

Seniority

Senior

Junior

Lead

Mid

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About amp

amp designs an at-home strength training system that combines intelligent hardware with personalized workout programming and real-time tracking. The company operates a D2C e-commerce business backed by a serverless microservices architecture on AWS, with data processing via dbt and Snowflake. The product surface spans native Android and web applications (TypeScript, GraphQL, Node.js), hardware control (Kotlin, Jetpack Compose, Altium Designer), and emerging AI features (internal agents and inventory optimization). Based in New York with 51–200 employees, amp is hiring primarily in the US, Israel, and Poland.

HeadquartersNew York, New York

Company Size51–200 employees

Hiring MarketsIsrael, Poland, United States

Frequently Asked Questions

What tech stack does amp use?

Backend: Node.js, GraphQL, TypeScript, AWS, DynamoDB, Elasticsearch, Kubernetes. Data: dbt, Snowflake. Mobile: Kotlin, Jetpack Compose (Android). Infrastructure: Terraform, CloudFormation. AI: LangChain, LlamaIndex, CrewAI.

What is amp working on?

D2C e-commerce platform backend, native Android app, next-generation strength training system backend, serverless microservices, dbt/Snowflake data layer, real-time dashboards, predictive AI for inventory, and data quality frameworks.