Senior / Staff Software Engineer

Rockstar•New York, NY

1d•Onsite

About The Position

This is a hands-on senior individual-contributor role at the intersection of applied AI, product, and distributed systems. The engineer will take ambiguous customer problems and complex product initiatives, turn them into focused architectures, and ship simple, reliable systems in production. They will build AI workers across the stack, from customer-facing experiences to long-running agent workflows and integrations with legacy ERPs and CRMs. The role includes leading 0-to-1 initiatives, improving agent performance and reliability, helping set model and agent strategy, and evolving infrastructure as customer usage and model capabilities grow. Technical leadership means writing and operating core product code while raising the bar for the team through clear technical writing, thoughtful code review, mentorship, and improved developer tooling. The stack is TypeScript end-to-end with React, Node.js, and PostgreSQL, running on AWS and Kubernetes. The company builds AI workers for non-production departments in American manufacturing, including inside sales, quoting, and procurement. The role is onsite in New York City five days a week, with travel across the United States to spend time with customers on their shop floors.

Requirements

At least 5 years of product engineering experience.
A track record of designing, shipping, and operating important systems.
Strong systems thinking and the ability to reduce complex domains to clear boundaries and maintainable software.
A product mindset: learn how customers work, notice patterns, and connect technical decisions to customer value.
Care about code quality and reliability while avoiding unnecessary abstraction or complexity.
Communicate clearly with technical and non-technical teammates and help others improve 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.
Be ambitious, resourceful, action-oriented, and team-first; care about strengthening American manufacturing.
Be excited to work in person five days a week in New York City.

Nice To Haves

Experience across both a high-growth startup and a scaled engineering organization.
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.

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.