Technical Engineer

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.

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).

Required

• Must-haves (dealbreakers)

Location

This role is on-site in New York, NY.

Visa sponsorship is available.

Compensation & Benefits

C 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.