
Sim
San Francisco, CA
Open-source AI workspace for building AI agent workflows
About
Sim builds an open-source platform with a visual drag-and-drop canvas, conversational interface, and API for teams to create, deploy, and manage AI agents. It connects over 1,000 integrations and major LLMs like OpenAI, Anthropic, and Gemini to automate workflows such as research, support, and data processing. Used by over 100,000 builders at startups and Fortune 500s, it enables production-scale agentic automation with SOC2 compliance.
Tech stack
TypeScript, Next.js, React, AWS, JavaScript
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Open jobs
5Serve as the company’s first sales hire, developing a repeatable motion, engaging engineering and IT teams, demonstrating the product, and closing new business. The role requires founding-sales experience, demonstrated deal-closing success, and enough technical fluency to work credibly with engineers and IT leaders.
Build and own core product capabilities for an AI workspace, spanning usability, reliability, performance, and user experience from concept through production. The role requires strong product engineering, an interest in AI models and design, and end-to-end ownership.
Build the agent harness that plans tasks, calls tools, uses memory, recovers from failures, and operates reliably at scale. The role requires strong reasoning about LLM behavior and the ability to translate it into robust infrastructure.
Builds GTM and RevOps infrastructure from scratch, integrating tools like Salesforce and Clay, automating workflows with AI agents, and engineering data flows for sales operations. Requires 3+ years experience coding in Python/JS/SQL and scaling SaaS stacks.
Founding engineer owning design and development of a real-time visual canvas for building AI agents, blending UI/UX with frontend engineering. Requires deep React/TypeScript expertise and experience with interactive developer tools.