W
Founding Engineer
Accepting applicationswithQ · San Francisco Bay Area
Full-Time Entry AI
Posted
11 Jun
Category
Manufacturing
Experience
Entry
Country
United States
About the role
We're looking for someone with a founder mentality, ready to own major product and business outcomes, not just tickets. This role is part founding engineer, part forward-deployed engineer, and part customer success when it's needed, until the CS agents we're building take that over. You'll wear all three hats, and help automate yourself out of the third.
About withQ
We're building the AI operations layer for hospitality: an agentic workforce that meets guests on any channel (voice, SMS, web chat, email, WhatsApp), in English or Spanish. Our agents don't just answer. They have empathy and personality, and they sell, already closing bookings and upsells at rates above many human call-center reps. We're live in production with real hotels and ski resorts, with integration partners live and a new resort pilot in flight.
You'd be our second founding engineer, architecting core systems from scratch and working shoulder-to-shoulder with all the founders across product, GTM, and ops. Huge surface area, real ownership, design-doc to production.
What you'll work on
Voice AI: sub-second voice agents (SIP, warm payment transfers). Latency is a feature.
Agents that sell: conversation design, booking and upsell flows, experiments that turn dialogue into revenue.
AI agents and computer use: agents that act, including computer-use agents driving legacy hospitality tools with no API.
Hospitality integrations: Opera Cloud, DerbySoft, Hapi, and the rest of the PMS/POS/ticketing stack. Make systems you don't control behave.
Synthetic NPS and call-quality analysis: AI grading every conversation into a weekly feedback loop.
Automating the SDLC: agent-authored code across the lifecycle, with the evals and guardrails that protect quality without giving up speed.
High uptime, AI-native ops: hotels run 24/7. Build the kind of reliability they never notice.
What we're looking for
Experience in building and operating production backends. Strong in TypeScript.
AI-native by default: coding agents and computer-use tooling are your daily multiplier. Core, not nice-to-have.
Innovating in agentic development: pushing the frontier of how AI builds software and automates the SDLC, balancing quality and speed rather than trading one for the other.
Strong design and architecture chops. AI can write the code; it still lacks taste and foresight. You bring the system design and long view it can't.
LLMs in production (agents, tools, eval loops), not just demos.
Genuine interest in (or scar tissue from) telephony: SIP, carriers, PBXs, programmable voice.
Distributed-systems fluency: queues, idempotency, retries, state machines.
High agency, low ego, fast. Ship and iterate over wait-for-perfect.
Bonus: voice/telephony depth, PMS/POS or travel tech, conversation/QA analytics, early-startup experience, Spanish or French.
Our stack
TypeScript monorepo (NestJS, Drizzle, BullMQ) plus React 19/TanStack, on AWS EKS, Aurora Postgres, Valkey, Istio, Auth0, Cloudflare. Multi-model (Anthropic, OpenAI, Gemini) via Azure Foundry/Vertex, with the Vercel AI SDK and Mastra powering our agents, and an evolving voice stack we keep at the very leading edge: Vapi, Deepgram, ElevenLabs, and others. We ship daily.
What we offer
Competitive salary, equity, and benefits. Hybrid in San Francisco (~3 days/week), direct access to the founders, and the most interesting problems in applied AI: voice latency, computer-use agents, agents that close revenue, and reliability at scale. And since our customers run everything from ski lifts to beach resorts, we hold the best deals close on a chairlift or a sun lounger, not a Zoom. Pack your skis and a swimsuit.
Help us answer every call.
Show more Show less
We're looking for someone with a founder mentality, ready to own major product and business outcomes, not just tickets. This role is part founding engineer, part forward-deployed engineer, and part customer success when it's needed, until the CS agents we're building take that over. You'll wear all three hats, and help automate yourself out of the third.
About withQ
We're building the AI operations layer for hospitality: an agentic workforce that meets guests on any channel (voice, SMS, web chat, email, WhatsApp), in English or Spanish. Our agents don't just answer. They have empathy and personality, and they sell, already closing bookings and upsells at rates above many human call-center reps. We're live in production with real hotels and ski resorts, with integration partners live and a new resort pilot in flight.
You'd be our second founding engineer, architecting core systems from scratch and working shoulder-to-shoulder with all the founders across product, GTM, and ops. Huge surface area, real ownership, design-doc to production.
What you'll work on
Voice AI: sub-second voice agents (SIP, warm payment transfers). Latency is a feature.
Agents that sell: conversation design, booking and upsell flows, experiments that turn dialogue into revenue.
AI agents and computer use: agents that act, including computer-use agents driving legacy hospitality tools with no API.
Hospitality integrations: Opera Cloud, DerbySoft, Hapi, and the rest of the PMS/POS/ticketing stack. Make systems you don't control behave.
Synthetic NPS and call-quality analysis: AI grading every conversation into a weekly feedback loop.
Automating the SDLC: agent-authored code across the lifecycle, with the evals and guardrails that protect quality without giving up speed.
High uptime, AI-native ops: hotels run 24/7. Build the kind of reliability they never notice.
What we're looking for
Experience in building and operating production backends. Strong in TypeScript.
AI-native by default: coding agents and computer-use tooling are your daily multiplier. Core, not nice-to-have.
Innovating in agentic development: pushing the frontier of how AI builds software and automates the SDLC, balancing quality and speed rather than trading one for the other.
Strong design and architecture chops. AI can write the code; it still lacks taste and foresight. You bring the system design and long view it can't.
LLMs in production (agents, tools, eval loops), not just demos.
Genuine interest in (or scar tissue from) telephony: SIP, carriers, PBXs, programmable voice.
Distributed-systems fluency: queues, idempotency, retries, state machines.
High agency, low ego, fast. Ship and iterate over wait-for-perfect.
Bonus: voice/telephony depth, PMS/POS or travel tech, conversation/QA analytics, early-startup experience, Spanish or French.
Our stack
TypeScript monorepo (NestJS, Drizzle, BullMQ) plus React 19/TanStack, on AWS EKS, Aurora Postgres, Valkey, Istio, Auth0, Cloudflare. Multi-model (Anthropic, OpenAI, Gemini) via Azure Foundry/Vertex, with the Vercel AI SDK and Mastra powering our agents, and an evolving voice stack we keep at the very leading edge: Vapi, Deepgram, ElevenLabs, and others. We ship daily.
What we offer
Competitive salary, equity, and benefits. Hybrid in San Francisco (~3 days/week), direct access to the founders, and the most interesting problems in applied AI: voice latency, computer-use agents, agents that close revenue, and reliability at scale. And since our customers run everything from ski lifts to beach resorts, we hold the best deals close on a chairlift or a sun lounger, not a Zoom. Pack your skis and a swimsuit.
Help us answer every call.
Show more Show less
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