You have opted out of job matches in .
To undo this, go to the 'Skills and Interests' section of your preferences.
Shared by 
about 2 months ago
warning
Heads-up
Requirements and responsibilities
About OwnerOwner is the AI-native system local business owners use to succeed, starting with restaurants. We’re building the system that replaces the many tools owners use to run their business, powering everything from the restaurant’s website, online ordering, CRM, POS, and more.Product philosophyMost small business software makes owners do the work to get sales growth and profit growth. Owner does the work agentically. Our system drives demand, converts it, and helps operators run their business day to day.Our visionWe’re starting by helping independent restaurants succeed online, and then scaling to other local business types. In the future, tens of millions of local business owners will use our technology to succeed in the digital age.Our tractionSince 2020, we’ve generated tens of millions in revenue and processed over half a billion dollars of online orders. We’ve helped over 20,000 restaurant owners and saved them nearly $200 million in fees.Where we workOwner is a remote-first, global company headquartered in San Francisco, with a sales hub in Toronto. Most teammates are distributed throughout the globe. This role is 100% remote and can be based anywhere in the United States or Canada.Why we’re looking for youAI Agents at Owner build agents that let restaurant owners run their business through natural conversation, everywhere they work with Owner. You’ll shape the architecture, platform, and products from the ground up.The impact you’ll haveOwn one or more agent surfaces end-to-end, from LLM integration and tool design to backend orchestration, conversational UI, and evals.Contribute to the shared agent platform: tool abstractions, chat persistence, eval frameworks, RAG, observability, permissioning.Shape technical direction on agent architecture, framework choice, and model strategy across Owner.Make thoughtful tradeoffs on latency, cost, and reliability so our agents feel fast and trustworthy in production.Raise the bar for agent quality through rigorous evals, thoughtful iteration, and patterns other engineers adopt.What we’re looking for5+ years of software engineering experience, with meaningful time shipping production LLM-powered or agentic features.Fluency with tool calling, prompt engineering, and agent loops—building systems where the LLM is a first-class component.Experience with eval frameworks and observability for non-deterministic systems (Braintrust, LangSmith, custom eval harnesses, or equivalent).Full-stack comfort—able to move between backend orchestration, tool design, and conversational UI.High degree of cross-functional collaboration.Strong sense of ownership and drive, excellent communication, and a proactive approach to identifying and solving problems.Nice to haveExperience with RAG or retrieval systems at production quality.Background in restaurant tech, commerce, or SMB operator tooling.Contributions to open source agent frameworks, evals, or LLM tooling.Experience growing and mentoring engineers on agentic AI patterns.Our Tech StackFrontend: React, TypeScriptBackend: Node.js, TypeScript with Vercel AI SDKDatabases: MongoDB, PostgreSQLObservability: Datadog, Braintrust / LangSmith for evalsPay and benefitsThe estimated starting base salary range for this role is $210K–230K depending on level, location and experience, plus a generous pre-IPO equity package.Comprehensive health coverage, work from anywhere (remote-first), unlimited PTO, plus extra fun perks.Notice - Employment ScamsCommunication from our team regarding job opportunities will only be made by an Owner team member with an @owner.com email address. We do not conduct interviews over email or chat platforms, and we will never ask you to provide personal or financial information such as mailing address, social security number, credit card numbers or banking information.
Optionally, you can add more information later (benefits, pre-screening questions, etc.)