Jobs at Forgepoint (forgepoint.ai)

Build and ship end-to-end product improvements across frontend and backend systems. Develop AI agent workflows, customer-facing experiences, APIs, integrations, data flows, and background jobs using TypeScript, React, Node.js, and PostgreSQL. Translate customer requirements into reliable software, test and debug production behavior, participate in code reviews, and take increasing ownership of product areas. The role is fully onsite in New York City.

Build and operate AI-powered product experiences, agent workflows, integrations, and distributed systems. Lead initiatives from customer discovery through production, improve agent performance, reliability, and cost, and shape model and infrastructure strategy. Mentor engineers, improve developer tooling, and establish strong practices for architecture, testing, observability, and operational follow-through. The role is fully onsite in New York City and includes travel to customer manufacturing facilities.

Build and operate AI-powered product experiences, agent workflows, integrations, and distributed systems. Lead complex initiatives from discovery through production, improve agent performance and reliability, shape technical strategy, and mentor engineers. The role involves hands-on TypeScript development across React, Node.js, PostgreSQL, AWS, and Kubernetes, with responsibility for architecture, observability, testing, developer tooling, and operational excellence.

Lead end-to-end customer deployments of AI-powered workflows, from discovery and process mapping through configuration, pilots, go-live, ROI measurement, and adoption. Partner with executives, frontline users, and engineers to translate business rules into agent tasks, guardrails, approvals, and handoffs. Facilitate workshops, manage stakeholders, iterate with users, create repeatable playbooks, and identify expansion opportunities. The role requires frequent travel to customer sites and five days per week in New York City.

Lead high-priority customer deployments from contract signing through adoption and ROI. Build repeatable deployment playbooks, manage customer and technical stakeholders, hire and coach Deployment Strategists, improve delivery systems, and partner with Product and Engineering to scale AI deployments for manufacturing customers.