Join a fast-growing startup as a Founding Engineer building the first autonomous operating system for manufacturing. You will develop multi-step agentic pipelines using VLMs and RAG to automate complex back-office workflows like quoting and logistics. This high-intensity role offers direct impact on a product growing 75% MoM in a massive industrial market.
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Founding Engineer at Arzana
Join a high-growth YC-backed startup as a Founding Engineer and build the autonomous operating system for the $2T US manufacturing industry. Growing at 75% month-over-month, we are replacing manual back-office tasks with advanced agentic pipelines using VLMs and RAG. If you are a world-class builder who thrives in a high-intensity, high-ownership environment and wants to solve complex technical challenges across TB-scale data and CAD extraction, this is the definitive founding role for you. Help us scale the future of industrial autonomy from the ground up in San Francisco.
About this role
Role overview
About the company
Arzana is a software company that provides an AI-powered platform to automate front- and back-office work for manufacturing companies, with a particular focus on automating routine, repetitive processes such as order entry, quoting, customer updates, and other office workflows that depend on data from ERP and CRM systems.[1][2][4][6] Its flagship product, Arzana ERP, is a fully customizable enterprise resource planning (ERP), customer relationship management (CRM), and manufacturing execution system (MES) built specifically for manufacturers and delivered with a suite of pre-installed Arzana AI agents.[1] These AI agents handle tasks including quoting, estimating, order entry, purchasing, vendor management, prospecting, outreach, CRM, accounts payable, accounts receivable, and customer service, allowing manufacturers to scale operations, respond to customers faster, and grow without adding equivalent headcount.[1][4] Arzana integrates with existing email, ERP, and other systems to provide AI office automation from locations in San Francisco, California, Okoboji, Iowa, and Appleton, Wisconsin, serving both large enterprise and fast-growing manufacturing firms.[2][4][6]
What you'll do
What you will do
- Design and deploy production-ready AI agents from scratch, translating complex business workflows into reliable extraction and reasoning chains.
- Architect multi-step agentic pipelines using Python, Supabase, and GCP to automate quoting, scheduling, and logistics for industrial manufacturers.
- Build an autonomous onboarding platform that processes terabytes of historical data and task-mining videos to generate custom ERP configurations.
Who you are
Who this is a fit for
- Proven track record of taking AI agent products or complex agentic workflows from zero to production in high-stakes environments.
- Strong builder instincts with a high tolerance for intensity, thriving in a high-ownership, 70-80 hour work week environment.
- Technical proficiency in Python, RAG systems, and VLM extraction, with US citizenship or permanent residency required for ITAR compliance.
Why this role
Why this role is remarkable
- True founding role at a YC-backed company with 75% MoM growth and extreme ownership over technical architecture and product direction.
- Solve deep technical challenges involving TB-scale customer data, VLM extraction from CAD files, and gradient-walk prompt optimization.
- Massive market impact by building the core infrastructure that automates the $2T+ US manufacturing sector's back-office operations and logistics.
Jack & Jill
How Jack & Jill work together
I get to know what you’re great at, then find roles you’d never find yourself.Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support.
I recruit from Jack’s network and make the intro when I spot a great match.And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate.
Meet Jack
Jack gets to know what you're great at and what you want next, then searches 15 million jobs daily and helps you discover roles at companies like this.
How does this work?
Jack’s an AI agent for job searching and career coaching. He works for you.
Jill is the AI recruiter working for the company. She recruits from Jack’s network.
If it’s a match and the company wants to meet you, they’ll make the intro. In the meantime, if you’d like, Jack will send you excellent alternatives.