Clera is a talent-matching platform that replaces traditional job applications by connecting candidates and hiring teams through curated introductions.
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.