Demo Engineer

About Zip Zip is the AI platform for enterprise procurement — built for humans and agents working together. By orchestrating procurement across teams, tools, and suppliers with the help of AI agents, companies can secure the resources they need to innovate faster than ever before. The world’s most influential enterprises trust Zip, including T-Mobile, OpenAI, AMD, Mars, Dollar Tree, and more. Together they’ve saved over $8 billion and processed over $500 billion in spend. Zip’s team includes product leaders from Apple, Airbnb, and Meta, as well as former procurement leaders from United Health, Sanofi, MGM Resorts, Discover, and NASA. Backed by Adams Street, Alkeon, BOND, CRV, DST, Tiger Global, and Y Combinator, Zip has raised $371 million, most recently at a $2.2 billion valuation and has been recognized by Forbes Fintech 50, Fast Company's Most Innovative Companies, Inc. Best in Business, and LinkedIn Top Startups.

You'll be a force multiplier for the Pre-sales organization. You'll own how Zip demos end to end: the environments, data, scripts, and certification standards that let any Solution Engineer deliver a technically credible demo quickly and consistently. You will be responsible for developing the solution demo frameworks, reusable assets, and self-service approach that every Solution Engineer and Account Executive benefits from. You’ll work closely with Solution Engineering leadership, Enterprise Architecture, Product, and Product Marketing to design our demos of the future. This is a hands-on builder role, not a maintenance seat. You're building the systems and vision for what a great demo looks like at Zip.

Own demo environment build and operations: Design, build, and maintain the demo environments, data sets, demo pathways, and demo scripts every SEs uses. Build self-service tooling and templates: Turn demo-builds into packages assets that SEs and AEs can pull directly. Shape our demo narratives and storytelling: Develop the talk tracks, narrative arcs, and messaging that turn technical features into a story every SE can tell. Keep demo assets in lockstep with releases: Partner with Product and Product Marketing so new agents, integrations, and vertical use cases ship with a working demo environment and script. Automate scripting and asset generation with AI: Use LLMs and AI coding tools to generate and maintain demo scripts, synthetic data, and environment scaffolding, cutting manual build time on every new demo asset. Automate end-to-end demo workflows with Playwright: Script and maintain Playwright-based flows that walk through full demo scenarios automatically, so environments get validated and refreshed without manual QA. Build with AI-native development tools: Prototype and ship internal tooling using tools like Replit and Lovable, taking new demo assets from idea to working build. Build and maintain agentic loops: Design agent workflows that can prepare, validate, and repair demo environments on their own, catching broken flows before an SE does.

2–5+ years in technical pre-sales, sales engineering, or demo engineering at a high-growth B2B SaaS company. Real hands-on build skills: scripting fluency (Python, JavaScript/TypeScript, or similar), comfort with REST APIs and webhooks, and enough cloud/infrastructure familiarity (AWS, GCP, or Azure) to stand up and operate a demo environment without waiting on engineering. Hands-on experience using AI to automate scripting and asset generation Experience automating end-to-end workflows with Playwright or a comparable browser-automation framework, for demo environment validation, regression testing, or scripted walkthroughs. Direct experience building with AI-native development tools such as Replit, Lovable, or similar. Comfortable going from a blank canvas to a working prototype largely through AI-assisted building. Experience designing and maintaining agentic loops: multi-step AI agent workflows that execute,