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About the Role
This hands-on role focuses on applied AI, product, and distributed systems, transforming ambiguous customer problems into focused architectures and reliable production systems. You will build AI workers across the stack, lead 0→1 initiatives, improve agent performance, set strategy, and evolve infrastructure. Technical leadership involves writing and operating core product code while enhancing team standards through technical writing, code review, mentorship, and tooling.
Responsibilities
- Lead complex product initiatives from customer discovery and technical design through implementation, rollout, and production operation
- Turn broad product requirements into focused architecture documents, clear tradeoffs, and incremental execution plans
- Build core AI product experiences and the agent workflows, tools, and integrations behind them
- Improve agent performance, reliability, and cost as usage grows and new models arrive
- Design and operate distributed systems, including queues, workers, observability, and failure recovery
- Help set technical strategy across models, agent architecture, context management, infrastructure, and developer experience
- Raise the engineering bar through simple design, testing, code review, and operational follow-through
- Mentor engineers and create patterns, documentation, and feedback loops that make the team more effective
Requirements
- 7+ years of product engineering experience
- 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 thinker capable of reducing complex domains to clear boundaries and maintainable software
- Product mindset: learn how customers work, notice patterns, and connect technical decisions to customer value
- Care deeply about code quality and reliability, but avoid abstraction or complexity for its own sake
- Communicate clearly with technical and non-technical teammates and make others better through writing, code review, mentorship, and candid feedback
- Form thoughtful opinions about fast-moving AI technology and choose models, architectures, and context strategies based on evidence
- Ambitious, resourceful, action-oriented, and team-first
- Care about strengthening American manufacturing
- Excited to work in person five days a week in NYC
- Deep experience with TypeScript, Node.js, React, or PostgreSQL
- Experience with AWS, Kubernetes, queues, streaming, caching, retries, consistency, and observability
- Experience building a large surface area of third-party integrations, especially with legacy systems
- Experience building software for manufacturing or another operationally complex industry
Skills
- Applied AI
- Product Development
- Distributed Systems
- TypeScript
- Node.js
- React
- PostgreSQL
- AWS
- Kubernetes
- Queues
- Streaming
- Caching
- Retries
- Consistency
- Observability
- Third-party Integrations
- Legacy Systems
- Manufacturing Software
Location
- New York City
Work Type
- Onsite
- Full-time
Experience Level
- Senior
- Staff
Salary/Compensations
- Top-tier salary and equity
Benefits
- Great healthcare
- Dinner at the office
- Unlimited Celsius
- Travel across the USA to spend time with customers on their shop floors
About the Company
- Forgepoint revitalizes American manufacturing by building AI workers for non-production departments, addressing bottlenecks in areas like sales, quoting, and procurement. They aim to help US manufacturers increase speed, growth, and global competitiveness by modernizing decades-old software. The company is backed by a16z speedrun and angel investors. Their founders have experience scaling tech companies and leading engineering organizations.
- Work environment emphasizes high-bandwidth collaboration, constant user engagement, end-to-end ownership, and a preference for simple, incremental systems.
- Values include winning for stakeholders, resourcefulness, truth-seeking, acting with urgency, taking initiative, and prioritizing the team.