Humwork

Tldr; Build the human escalation layer that every AI agent will rely on. Founding engineer, full equity band. Agents are now writing the majority of code in Cursor, Claude Code, Codex, and Devin. They draft contracts. They run support. They've crossed the line from demo to production. But agents still get stuck. They make confident mistakes in unfamiliar domains. They loop on bugs they can't diagnose. They ship architectures their users will quietly regret. Most people think this gap closes as models get better. We think it grows. As agents take on more autonomous, higher-stakes work, the long tail of "things only a domain expert can resolve" gets longer, not shorter. Every serious agentic system five years from now will have a human escalation layer underneath it. Humwork is building that layer. When an agent hits its limit, it calls Humwork. We match it to a verified expert — engineer, lawyer, infra specialist, designer, scientist, whoever fits — in under 30 seconds, hand off full context, and the expert works the problem inside the agent's loop. The agent resumes. The user never leaves their flow. We launched as an MCP plugin a few months ago. We're already integrated across Claude Code, Cursor, Codex, ChatGPT, Windsurf, and Lovable. Now we're scaling. We need a founding engineer. What you'd own Surfaces you'll touch from week one: Matching engine. Embeddings + a domain matcher that routes a consultation to the right expert in seconds. Heavy on retrieval quality, candidate ranking, and tail coverage. Realtime infra. FastAPI + Postgres + Redis + Ably streaming an agent ↔ expert session, with reconnects, ordered delivery, and AI-summarized context handoff. The MCP plugin layer. The tools, hooks, and skills that decide when an agent should escalate and how it should describe the problem. This is the integration that ships into every host (Claude Code, Cursor, Codex, etc.) — small surface, enormous leverage. Expert app (Expo / React Native / NativeWind) — what specialists open at 2am to pick up a session. Client dashboard, billing, ratings, observability — everything that turns this into a robust marketplace. You won't get tickets. You'll see a problem, propose how to solve it, and ship it. We compress quarters into weeks. We want to hear from you if You've done the work at the frontier. OpenAI, Anthropic, DeepMind, Meta AI, Cursor, Cognition, Mercor, or somewhere similar. Or you've done equivalent work somewhere similar — we'll know it when we see it. You have range. You can move from a Postgres query plan to a tricky LLM eval to a React Native build without complaining. We hire for taste, not stack. You have opinions about agent UX. You've watched agents fail in real workflows. You have a take on MCP, tool design, context handoff, and what an agent's "I'm stuck" signal should look like. You ship fast. You'd rather have something running in production than a perfect design doc. The thesis moves you. We're betting humans and AI work better together than apart. If that doesn't resonate, the comp won't make up for it. Compensation $120K–$150K base 5.0% – 10% equity Full health, dental, vision Whatever tools, hardware, and credits you need In-person in SF. We're 2 people who ship every day. That doesn't work over Zoom. Founders Yash Goenka (CEO) — patent holder (graphene supercapacitor manufacturing), 2x founder, shipping LLM products since 2021, UC Berkeley. Rohan Datta (CTO) — built an AI voice platform that handled 1M+ minutes of automated calls, drone imaging research at Berkeley, BS+MS Civil Engineering. Friends for 16 years. We move fast, disagree well, and care a lot about the craft.

Humwork connects AI agents to verified human experts in real time. About the role Humwork is building the infrastructure layer for human-in-the-loop AI. When an AI agent gets stuck on something that requires real judgment, whether that is a coding issue, a legal question, a design decision, or a marketing rewrite, Humwork routes the task to the right human expert in real time. We are looking for a GTM Engineer to build our go-to-market motion from scratch. This is not a role for someone who wants to inherit a polished funnel, a large sales team, or a mature playbook. This is a role for someone who wants to create the playbook. You will work directly with the founders to figure out who our best early customers are, how to reach them, what messaging converts, which channels scale, and how to turn a messy early market into repeatable pipeline and revenue. You should be as comfortable writing outbound copy and talking to prospects as you are building workflows in tools like Clay, n8n, Apollo, Happenstance, sequencing platforms, CRM systems, AI research tools, OpenClaw, and Claude Code. If you have strong opinions on a better stack, even better. The right person for this role is not just good at sales and not just good at automation. You are the kind of operator who uses AI as a force multiplier every day, ships quickly, learns from the market fast, and cares about revenue outcomes more than job boundaries. What you’ll do You will own outbound, GTM experimentation, and early sales execution end to end. That includes: building target account lists and segmenting ICPs; researching signals and designing outbound workflows; writing and testing messaging across email, LinkedIn, and other channels; launching campaigns and iterating quickly based on response data; qualifying opportunities and running early sales conversations; helping close pilots and early customers; building enrichment, routing, CRM, and reporting systems behind the motion; and feeding market insight back into product, packaging, and positioning. Because Humwork is creating a new category, part of your job will be market discovery. You will talk to users and prospects constantly, identify where the pain is strongest, refine messaging, shape packaging, and bring that learning back into both product and GTM strategy. What success looks like In this role, success means that we become much clearer about which early customer segments convert fastest, what message earns a response, which use cases create urgency, and which channels actually scale. It also means that Humwork develops a repeatable outbound engine rather than a collection of one-off founder-led efforts. We should see better targeting, sharper positioning, more qualified conversations, more pilots, and a steadily improving funnel. What we’re looking for We care much more about evidence of exceptional execution than about conventional credentials. The strongest candidates will likely have experience in some combination of founding sales, GTM engineering, outbound growth, revenue operations, or running AI-native prospecting systems in an early-stage company. You should have a strong track record of creating pipeline through outbound rather than relying on inbound demand or SDR support. You should be deeply familiar with modern GTM tooling, especially platforms like Clay, n8n, Apollo, sequencing tools, enrichment tools, CRM systems, and AI copilots or agents. You should know how to combine these tools into workflows that actually produce business results. You should also be highly comfortable with ambiguity. This role will involve figuring out things that do not yet have obvious answers: which customer segment to prioritize, which wedge to lead with, which signals matter, what message earns a reply, and when to push for a pilot versus a broader enterprise conversation. If you need a fully defined territory and established process, this is probably not the right role. We should talk if you... have built or run out