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# Founding Engineer

- **Company:** Kadence Inc.
- **Location:** New York, NY, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Microsoft Azure, Cloud Computing, Software Quality, Code Review, Continuous Integration, Customer Data Management, Data Infrastructure, Human-Computer Interaction, Python (Programming Language), PostgreSQL, Machine Learning, Next.js, Software Engineering, SQL Databases, TypeScript, Data Processing, Cloud Platform System, ReactJS, Software Security, Backend, Pandas, Front End Software Development, Data Pipelines
- **Published:** October 12, 2026
- **Apply:** https://www.juju.com/job/2_162655061

## About the Role

* 5-8+ years of software engineering experience
 * Experience shipping a data-heavy B2B or enterprise product from an early stage through production
 * Strong TypeScript, React, Next.js and PostgreSQL experience
 * Hands-on Python experience for data processing, ideally including pandas, SQL or DuckDB
 * Experience building data pipelines and transforming messy customer data into dependable datasets
 * Experience with infrastructure as code and cloud platforms; Azure is preferred
 * Familiarity with CI/CD, observability, xrbllit application security and production operations
 * Experience deploying or supporting AI and machine learning models in production
 * Strong product judgment and the ability to build an intuitive, polished interface
 * Confidence working directly with enterprise customers and communicating technical concepts clearly

You may be particularly well suited if you have

 * Worked as a Founding Engineer, early engineer, technical lead or senior product engineer at an early-stage startup
 * Built enterprise AI, analytics, workflow or decision-support products
 * Owned a product across frontend, backend, data and infrastructure
 * Turned customer-specific implementations into reusable platform capabilities
 * Operated effectively within a small team with significant autonomy

## Description

You will own both the customer-facing product and the platform behind it, bringing the MVP into production and building the architecture needed to support additional enterprise customers.

This is a hands-on role spanning full-stack product development, data infrastructure, cloud deployment and AI model operations. You should be comfortable making technical decisions independently, working directly with customers and turning ambiguous requirements into a polished product.

What you'll own

 * Build and evolve the customer-facing application, from data model to user interface
 * Own the cloud platform, including infrastructure as code, deployments, CI/CD, observability and security
 * Design a scalable, multi-tenant architecture and efficient customer onboarding process
 * Transform complex customer data into reliable, model-ready datasets
 * Build and maintain the data pipelines and analytical systems supporting the product
 * Deploy, monitor and retrain machine learning models with the research team
 * Establish strong standards for architecture, testing, code review and production reliability
 * Work with founders, researchers and customers to prioritize features and bring feedback into the product
 * Use AI-assisted development tools while maintaining full accountability for code quality