Rockstar is recruiting for a company on a mission to revitalize American manufacturing by building AI workers for back-office departments like quoting, purchasing, invoicing, and sales coordination. They're backed by a16z speedrun and angels from Brex, Xwing, and Betterment. This role is a client-facing technical position at the intersection of customers, product, and applied AI.
About the Role
This is a client-facing technical role at the intersection of customers, product, and applied AI. The individual will work directly with American manufacturers to understand how their business operates, turn messy requirements into clear agent behaviors, and deploy a reliable Frank that delivers measurable value.
The person in this role will own customer agent deployments end-to-end: map workflows, prioritize requirements, write SOPs and prompts, build evals, configure tools and guardrails, launch with users, and improve performance over time. The inputs are real and imperfect: dirty PDFs, legacy data, tribal knowledge, and edge cases that break naive systems.
The work is hands-on, fast-moving, and deeply user-centric. The individual will work with LLMs and code every day, communicate directly with customer teams, and turn what they learn in the field into better product capabilities and a faster, more repeatable deployment system.
What You'll Do
Lead agent deployments from discovery and requirements scoping through configuration, go-live, quantified ROI, and ongoing improvement
Map complex customer workflows and turn them into focused requirements, SOPs, prompts, tools, guardrails, approvals, and handoffs
Build evals and test cases that measure agent quality, expose failure modes, and guide iteration
Configure and launch agents, monitor their real-world performance, investigate failures, and improve reliability over time
Run customer workshops, communicate tradeoffs clearly, and close every dependency and follow-up needed to keep deployments moving
Learn complex customer domains quickly and advocate for customer needs with product and engineering
Turn repeated deployment problems into reusable patterns, tooling, and product improvements that make future launches faster
What You'll Need
You have 4+ years of experience in software engineering or a client-facing technical role such as forward deployed engineering, solutions engineering, or implementation consulting
You are technically strong and comfortable writing code, prompting LLMs, building evals, and learning new agent-engineering techniques
You can scope ambiguous requirements, prioritize aggressively, and design a simple solution within real product and operational constraints
You are an exceptional communicator who can run a customer workshop, present with confidence, and build trust from the shop floor to the executive team
You are highly organized and process-oriented: you can manage multiple deployments, track details, use metrics, and close every loop
You learn complex domains quickly and combine customer empathy with a product mindset, turning field insights into better tools and experiences
You are ambitious, resourceful, action-oriented, and team-first; you care about strengthening American manufacturing and are excited to work in person five days a week in NYC and travel to customer sites across the US
Bonus Points
Experience building and operating agentic systems in production
Experience in manufacturing or another industrial or operationally complex setting
Experience creating SOPs or leading change-management work
Experience integrating and deploying third-party APIs or legacy systems
About the Company
Revitalize an industry. Rebuild America's manufacturing backbone.
America builds satellites, jet engines, and semiconductors with world-class precision, but the software running factory offices is decades behind. Estimators, procurement teams, and accountants still lose hours to spreadsheets, PDFs, and manual data entry.
They build AI workers for back office departments…