Employer profile
Prox
3 open roles indexed with location, benefit, and apply-link signals where available.
Open roles
Showing the most recent indexed roles for this employer.
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Deployment Specialist
remote | Remote
remote Salary not disclosedDeployment Specialist remote | Remote Big part of Prox is AI agents that process complex technical documents into structured knowledge. The agents are right most of the time. When they're wrong, we need you to catch it. You'll work inside a review platform we built. Each task shows you the source material, what the agent produced, and the steps it took to get there. You compare them and grade the agent's work. The position is full-time (40+ hrs a week) compensation is $5-7/hr What you do per task 1. Read the source and the agent's output side by side. Verify the content was captured accurately. 2. Review what the agent did. What it created, changed, or left out. 3. Score a short rubric covering accuracy, coverage, organization, and rule adherence. Full rubric provided at onboarding. 4. Write detailed feedback about the mistake. This is the most important thing you produce since we use it to improve the agent. 5. Submit. Move to the next task. Conditions • Subject matter shifts over time. You don't need prior knowledge of the subjects. You need to be able to compare two documents carefully and spot where they disagree. • Rate is fixed for the engagement. If it changes, it goes up, and we tell you before your next task. • Work product owned by Prox (work-for-hire). • Standard NDA at offer stage. Requirements • Strong written English • Can read dense technical content for hours without losing focus • Consistent - your scoring
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Founding Engineer
San Francisco, CA | OnSite
onsite Salary not disclosedFounding Engineer San Francisco, CA | OnSite PROX IS HIRING FOUNDING ENGINEERS TL;DR - if you're delusional enough, never satisfied with your skill level, insanely hardworking, and want to carry a crazy amount of responsibility, where what you code on Monday impacts thousands of people on Tuesday, this is for you. - you'll work on knowledge engines and multimodal agents for complex physical products, including expressive voice AI https://www.hume.ai and codegen systems that explain what text alone can't, then lead the deployment of all of it to real customers. - no intro calls. to get considered, you post your submission to our challenge https://github.com/prox-technologies/prox-challenge. we review new submissions daily and respond to every one, so you'll hear from us very soon. from there, three more steps. pass them and you're in. - $200k cash salary + 1% equity. We're backed by Paul Graham, Bloomberg Beta, Burst Capital, SV Angel, Weights & Biases, and more. Position is in person in SF, 6 days/week [https://app.ashbyhq.com/api/images/user-content/d27f947e-d494-4e83-b6a5-078191ca88b8/f913425a-4075-4bd9-bc36-70e2968aa8d9/8ced9bb9-7e49-4cf7-873a-20780cb55b2a-2.jpg] WHAT ARE WE DOING? Every product ever sold needs support at some point. That support falls into one of two buckets. Bucket 1: Simple stuff. T-shirts, screen protectors, keyboards. You buy it, it shows up, maybe you ask “where's my order?” once. This is solved. Zendesk and a hundred other horizontal companies solved it. Bucket 2: Hard stuff. $20,000 industrial heaters. HVAC systems. CNC machines. Car parts. Products where buying wrong means your building doesn't have heat or your manufacturing line is down. Support for these products
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Chief of Staff
San Francisco, CA | OnSite
onsite Salary not disclosedChief of Staff San Francisco, CA | OnSite Prox https://www.linkedin.com/company/prox-inc/ builds AI technical support for complex physical products (think power tools, powersports equipment, agriculture, heavy machinery -- anything that requires an installation guide or complex manuals). backed by Y Combinator, Bloomberg Beta, Paul Graham, SV Angel, Burst Capital and many more. INTRO TO THE ROLE We run the company out of a git-based knowledge graph. Every customer meeting note. Every investor and vendor conversation. Our writing style, our voice, icp, our positioning. Product ideas, platform new features and roadmap decisions. Marketing campaigns, LinkedIn content, outreach sequences, conference pipeline. Structured, linked, versioned, with an agent layer on top that reads, writes, syncs, and briefs and completes tasks. This is what we build for our customers: take everything a company knows about its products -- manuals, specs, forum threads, support history -- and make it queryable by an AI that never forgets and never sleeps. We do the exact same thing for ourselves. The person we're looking for has a specific character flaw: they cannot do the same thing twice without immediately wanting to eliminate the second time it happens. Not from the laziness, but because repetition feels like a design failure. They think like a hacker. Every system has a seam, and if you find it, you can usually make 10x the impact with a fraction of the effort. They don't ask permission to automate. They notice the pattern and close it. But they have taste. Output that looks like AI