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Quickchat AI

Member of Technical Staff

Salary$150k – $170k
LocationNew York, NY, US
Typefull-time
EquityIncluded
Company size11+ people
First seen2w ago
Last seen2w ago
Member of Technical Staff at Arzana(P26)
Benefits
$150K - $170K • 0.10%
About the company
The autonomous ERP for every manufacturer
New York, NY, USFull-timeUS citizen/visa onlyAny (new grads ok)Amazon Web Services (AWS)Reinforcement learning (RL)Software SecurityImage ProcessingRAGAI Agents
Apply now
About Arzana
Fortune 500 companies and the fastest-growing manufacturing firms use Arzana’s AI platform to automate order entry, quoting, and customer updates. So teams can scale faster, respond sooner, and grow without adding overhead.
About the role
About the role
Arzana automates factories with a platform of self-customizing agents. It plugs into a factory’s ERP, email, local servers, and other systems and learns from their historical data and current workflows. After a few months, Arzana can prospect for new customers, make quotes, enter orders, buy materials, schedule jobs, collect/pay invoices, and arrange logistics autonomously.
Some of our customers use Arzana as their ERP, and we aim to fully automate 10,000 factories by 2035.
Arzana recently closed a seed round, and we’re growing 75% month-over-month. We’re looking for scrappy engineers that thrive in a fast moving, 70-80 hour week, high-ownership role.
Responsibilities
As a Member of Technical Staff, you will work directly with the CTO, CEO, and our customers to build, test, and integrate custom agents into our customers’ systems. You will own entire customer buildouts and be held accountable for the timely successful deployment of said project.
You’ll also contribute to further developing our Agentic FDE that builds out the entire runtime agent autonomously after being downloaded to the customer’s local server and swimming through all of their data.
What we’re looking for
1.
Experience working in or closely with manufacturing environments: We’re talking gritty, old school manufacturers in rural areas. Translating their non-technical description of a specific workflow into a reliable agent requires learning how to speak their language, ask intelligent questions, and above all, commit massive amounts of information to memory in a short period of time.
2.
Experience taking an agent product or agent workflow from zero to production, whether as a personal project or in a company setting
• Strong builder instincts and a high degree of ownership and autonomy. We’re a team of hackers with a “if you can think it you can build it” mentality
• Excitement for talking with users and quickly turning their comments into fixes ahead of the next call.
• Comfort operating across the stack, from frontend usability to agent/model training, backend architecture, and integrations
• Strong product sense and the ability to make good decisions with incomplete information, and know when you don’t have enough information and what questions to ask.
• Ability to move quickly, handle edge cases, and improve systems through iteration
Technology
Frontend: Next.js Backend: Python/Flask on Railway, Supabase (Postgres) AI models: Gemini, Anthropic, OpenAI, AI search (Perplexity, Exa) Coding Tools: Claude Code
Hiring process
Interview Process
1.
Intro Call with founder(s)
2.
Technical Assessment (3 hour take-home assignment)
3.
Work trial (in office, 4-5 days)
Apply now
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