ABOUT THE ROLE
This is a founding-level engineering role at an early-stage, venture-backed AI SaaS company transforming how industrial manufacturers and distributors operate. You'll work directly alongside the founding team to build and scale the technical infrastructure powering an industrial B2B marketplace — from intelligent data pipelines and AI/ML systems to full-stack marketplace features that process transactions at significant scale.
This is a high-ownership, high-impact position best suited to a builder who thrives in fast-moving environments and wants to shape both product and technical strategy from the ground up. The interview process includes a two-week paid work trial.
WHAT YOU'LL DO
- Build and scale the technical backbone of an industrial B2B marketplace platform.
- Design and maintain data pipelines (Dagster or similar) ingesting data from thousands of manufacturers and distributors.
- Implement DevOps best practices and manage cloud infrastructure using CloudFormation and AWS.
- Develop AI/ML integrations and AI agent workflows that automate industrial sales and distribution processes.
- Deliver features across the full stack: Next.js / Vercel frontend, Supabase backend, and modern data infrastructure.
- Own end-to-end delivery of projects that directly enable large transaction volumes.
- Contribute to technical strategy as the platform scales from software tooling to a full marketplace.
WHAT WE'RE LOOKING FOR
Must-haves (dealbreakers):
- Strong full-stack production experience with a proven ability to ship rapidly and reliably.
- True full-stack capability — comfortable with both backend and frontend work.
- Proficiency with modern web technologies: React / Next.js, TypeScript, REST/GraphQL APIs.
- Solid ML engineering background — experience setting up data pipelines and maintaining infrastructure for both traditional ML models and AI agents.
- 3–7 years of experience in ML engineering or building reliable ML systems.
Required:
- DevOps expertise including infrastructure as code (CloudFormation and/or Terraform).
- Track record at a top-tier organization (e.g., FAANG, unicorn startup, or equivalent high-caliber engineering environment).
- Experience setting up and maintaining data pipelines at scale.
- Experience maintaining infrastructure for AI agents and traditional ML workloads.
Nice to have:
- Experience with marketplace or e-commerce platforms.
- Background in manufacturing, supply chain, or B2B enterprise software.
- Hands-on experience with LLM integration and AI agent frameworks.
- Previous early-stage startup experience.
- Cloud operations, monitoring, and cost optimization exposure.
- Experience with Dagster or similar orchestration tools (e.g., Airflow).
LOCATION
This role is on-site in New York, NY. Visa sponsorship is available.
COMPENSATION & BENEFITS
Compensation details will be discussed during the interview process. This is an early-stage role with meaningful equity upside and the opportunity to be a key technical voice at a fast-growing company.