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Forgepoint is building AI workers for manufacturing back-office operations—targeting estimators, procurement teams, and engineers to eliminate spreadsheets, PDFs, and manual data entry. The company is backed by a16z Speedrun and angels from Brex, Xwing, and Betterment.
This is a hands-on Staff-level individual-contributor role at the intersection of applied AI, product, and distributed systems. You will take ambiguous customer problems and complex product initiatives, turn them into focused architectures, and ship simple, reliable systems in production.
Key responsibilities include:
- Leading complex product initiatives from customer discovery and technical design through implementation, rollout, and production operation
- Turning broad product requirements into focused architecture documents, clear tradeoffs, and incremental execution plans
- Building core AI product experiences and the agent workflows, tools, and integrations behind them
- Improving agent performance, reliability, and cost as usage grows and new models arrive
- Designing and operating distributed systems, including queues, workers, observability, and failure recovery
- Helping set technical strategy across models, agent architecture, context management, infrastructure, and developer experience
- Raising the engineering bar through simple design, testing, code review, and operational follow-through
- Mentoring engineers and creating patterns, documentation, and feedback loops that make the team more effective
You'll build AI workers across the stack, from customer-facing experiences to long-running agent workflows and integrations with legacy ERPs and CRMs. You'll lead 0→1 initiatives and evolve infrastructure as customer usage and model capabilities grow. The stack is TypeScript end-to-end with React, Node.js, and PostgreSQL, running on AWS and Kubernetes.
The company values in-person collaboration, constant user engagement with manufacturers, end-to-end ownership, simple incremental systems, and a team-first culture.
REQUIREMENTS:
- 7+ years of product engineering experience with a track record of designing, shipping, and operating important systems
- Experience across both a high-growth startup and a scaled engineering organization is a plus
- Strong systems thinking: ability to reduce complex domains to clear boundaries and maintainable software
- Product mindset: learning how customers work, noticing patterns, connecting technical decisions to customer value
- Deep care for code quality and reliability without unnecessary abstraction or complexity
- Clear communication with technical and non-technical teammates; ability to mentor through writing, code review, and feedback
- Thoughtful opinions about fast-moving AI technology; choosing models, architectures, and context strategies based on evidence
- Ambitious, resourceful, action-oriented, team-first mindset; commitment to strengthening American manufacturing
- Willingness to work in person five days a week in NYC
BONUS:
- Deep experience with TypeScript, Node.js, React, or PostgreSQL
- Experience with AWS, Kubernetes, queues, streaming, caching, retries, consistency, and observability
- Experience building large surface area of third-party integrations, especially with legacy systems
- Experience building software for manufacturing or another operationally complex industry
