Quo

Lead architecture and execution of a customer-facing AI agent platform, driving its scale, performance, reliability, and technical roadmap while mentoring engineers. | Requires 10+ years of experience, strong backend service scaling and leadership skills, and proficiency in TypeScript/Node or another backend language, with production LLM systems experience preferred. | ABOUT THE ROLE Our AI Agent Platform team owns the platform behind nearly all of Quo's customer-facing AI agents. That includes Sona, our AI agent for calls and texts, and Quo Agent, the workspace agent we've just launched. Agents are already live with customers, so this isn't basic plumbing. The hard problems are the ones ahead. As a Staff Software Engineer, you'll be the hands-on technical lead for the team. You'll set the technical direction for how agents are built and run at Quo, and you'll write a lot of the code that gets us there. Your work will shape how every customer experiences AI inside Quo, and how every other team at Quo builds with it. We're bringing AI work that grew up in separate teams onto one shared platform. This role is central to that, and you'll have real ownership from day one. SOME OF THE THINGS YOU’LL DO: * Own the architecture of the agent platform: how any team at Quo creates and runs an agent, the shared pool of tools and integrations agents call, the single layer every model call goes through, and the execution engine that turns model output into real API and tool calls. * Build advanced orchestration, from one agent coordinating five or more subagents to long-running agents that work on a task for hours. * Design memory and self-learning, so our agents get better from customer feedback over time. * Drive the scale, performance, reliability and cost of agent execution as usage grows across calls, texts and the workspace. * Make it easy for other teams to build on the platform. You'll be its best advocate, with clear docs, good defaults and a lot of pairing. * Mentor engineers through design reviews, code reviews and hands-on coaching, raising the bar for the whole AI domain. * Stay close to what's happening in LLMs and agent tooling, and turn what you learn into practical roadmap proposals. TECH STACK & TOOLS: * Node and TypeScript on the backend * Event-driven microservices with Temporal and RabbitMQ at the centre * Kubernetes on AWS * Postgres, MongoDB, Elasticsearch and Redis * Datadog for observability * Web (React), iOS and Android clients on the other side of the API Language is not a filter. If you've built the right things in Go, Python, Java or anything else, we'd rather talk to you than to someone who knows Node but hasn't. ABOUT YOU * You've built and scaled the backend of a product with a lot of real users, and you've led the architecture of business-critical services. * You've shipped LLM-powered systems to production, ideally an agent platform or orchestration layer. If you haven't built an agent platform yet but have built something close, like an ML platform, a workflow engine or real-time communications infrastructure, and you've gone deep on LLMs hands-on, we'd still love to talk. * You're strong in TypeScript and Node, or you're fluent in another backend language and keen to ramp up on ours. * You have high agency. You see what needs doing, pick it up and move it forward without waiting to be asked. * You learn fast and you're plugged into the AI world. You know what's changing in models, agent frameworks and tooling, and you have opinions about it. * You write clear design docs, explain trade-offs well and bring other engineers and teams along with you. * You care about customers. You weigh technical decisions against the experience of a small business owner using our product every day. BONUS POINTS IF YOU: * Have run Temporal or another durable workflow engine in production. * Have worked on customer-facing AI products, not only internal developer tooling. * Have founded or been early at a startup. COMPENSATION The annual base salary range for this position is as follows, plus equity and benefits: * SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York and Washington DC Metro: $205,000 to $242,000 USD * All other US locations: $186,000 to $217,000 USD * Canada: $189,000 to $222,000 CAD The range displayed reflects the target for new hire salaries, and within this range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process. Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.

Own the API platform’s long-term architecture, guide technical decisions, mentor senior engineers, and coordinate cross-team integration of public API features. | Requires 10-plus years of engineering experience building or owning public APIs and developer platforms, infrastructure and application-code proficiency, and strong communication and leadership. | ABOUT THE ROLE Quo is the phone system for modern businesses, and the Connect team is the front door for everything that talks to Quo without a human clicking in the app: the public API, MCP, OAuth, webhooks and integrations with tools like HubSpot, Jobber and Clio. It's the fastest growing part of the company. The platform handles close to a billion API requests a day, roughly a quarter of all Quo traffic, and a growing number of customers use the API without ever opening the app. In the last 60 days alone, over 16,000 MCP connections have been set up against it. This is the first true staff role on the team. You'll be the technical voice for Connect: the person who sets the architecture, fields the questions from product, partnerships and leadership, and makes it easy for every other team at Quo to ship through the API. SOME OF THE THINGS YOU’LL DO: * Build the system, and the relationships, that let any team at Quo add their feature to the public API in a day or two, then get the rest of engineering to actually use it * Own the long-term architecture for the API platform. Python and TypeScript SDKs are on the roadmap for Q4, and the longer-term model is Stripe's: product teams describe their surface, the API and SDKs are generated from it, and an ecosystem grows around it * Be the technical point of contact for partnerships, product and leadership on what the API and integrations can do, set expectations, and protect the roadmap when a request would derail it * Mentor the senior engineers on the team through design reviews, PR reviews and coaching. You'll write less code than a senior, on purpose * Keep the platform fast, reliable and observable as traffic keeps climbing HOW THE TEAM WORKS: Connect owns its own infrastructure end to end: its own cluster, databases, Redis and queues. The team ships without waiting on anyone. It's small, technically strong, and heading towards two sub-teams as the surface area grows. TECH STACK & TOOLS: * Node and TypeScript on the backend * Event-driven microservices with Temporal and RabbitMQ at the centre * Kubernetes on AWS * Postgres, MongoDB, Elasticsearch and Redis * Datadog for observability * Web (React), iOS and Android clients on the other side of the API Language is not a filter. If you've built the right things in Go, Python, Java or anything else, we'd rather talk to you than to someone who knows Node but hasn't. ABOUT YOU * 10+ years in engineering with real time at staff level. You've done this job before, at least once, and you want to be a technical leader rather than a manager * You've built or owned a public API, developer platform, SDKs or webhooks for a product people pay for. Dev tooling backgrounds count * You've driven a big cross-team change at a company with 80+ engineers, by getting the right people in each team on board rather than posting a doc and hoping * You've worked through the stage Quo is at now: Series B into growth, 100 to 300 engineers, process being built and rebuilt. Ideally you've taken a company a step past where we are and know what works * You're comfortable owning infrastructure alongside application code. This isn't a platform engineering role, but you shouldn't flinch at it * You communicate clearly in writing and in person, and you're comfortable building rapport across teams COMPENSATION The annual base salary range for this position is as follows, plus equity and benefits: * SF Bay Area, Los Angeles, Seattle, Portland, Boston, New York and Washington DC Metro: $205,000 to $242,000 USD * All other US locations: $186,000 to $217,000 USD * Canada: $189,000 to $222,000 CAD The range displayed reflects the target for new hire salaries, and within this range, individual pay is determined by your skills and experience, as well as relevant education. Your recruiter can share more and answer questions about the specific salary range during the hiring process. Salary is just one component of Quo’s total compensation package. Your total rewards package will include equity, extensive medical coverage, a monthly lifestyle stipend, and a flexible PTO policy.