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. The role involves building AI workers across the stack, from customer-facing experiences to long-running agent workflows and integrations with legacy ERPs and CRMs. The engineer will lead 0→1 initiatives, improve agent performance and reliability, help set model and agent strategy, and evolve infrastructure as customer usage and model capabilities grow. Technical leadership includes 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 position is onsite in New York City five days a week and involves frequent customer interaction, including travel across the United States to visit 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 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 deeply about code quality and reliability while avoiding unnecessary abstraction or complexity.
Communicate clearly with technical and non-technical teammates.
Make teammates 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.
Be ambitious, resourceful, action-oriented, and team-first.
Care about strengthening American manufacturing and be willing 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.
Talk to users and build with manufacturers to understand customer workflows and needs.
Own outcomes end-to-end and drive solutions without waiting for permission.