Realtor.com is looking to turn business challenges into practical AI solutions by building foundational systems, tools, and workflows from the ground up to pioneer a first-of-its-kind role and drive AI adoption and learning across the company.
Requirements
- Hands-on with Assist and knowledge retrieval tools such as Glean, Gemini, Copilot, or Ema and able to fine-tune retrieval settings.
- Comfortable with Automate tooling like Glean Agents, Vertex AI Agent Builder, Retool Agents, or Zapier AI and can chain steps across APIs.
- Proficient in Compose tooling such as Copilot Studio, Retool, Replit, or similar low-code builders, and eager to prototype.
- Skilled at crafting and refining LLM prompts, evaluating outputs, and explaining basics to newcomers.
- 3-5 years of experience with data and APIs (SQL, REST, JSON, CSV), and able to integrate them into AI workflows.
Responsibilities
- Discover and design - Interview stakeholders, map workflows, estimate impact, and choose whether Assist, Automate, or Compose is the right fit, using discovery templates in Miro.
- Prototype Assist solutions - Stand up knowledge copilots with Glean Search and Assistant, Gemini for Workspace, or Ema, including prompt libraries and retrieval configs.
- Prototype Automate solutions - Build agentic workflows with Glean Agents, Ema, Retool Agents, Vertex AI Agent Builder, or Zapier AI actions, then harden the winners into production.
- Prototype Compose solutions - Create low-code apps with Copilot Studio visual flows, Retool UI builder, Vertex Agent Builder canvas, or Replit Agent chat-to-app, and hand off runbooks to business owners.
- Teach and evangelize - Produce AI flight-school decks, hands-on labs, prompt cheat sheets, and run office hours so PMs, analysts, and ops teams can build confidently.
- Measure and iterate - Track adoption, demo outcomes at town halls, and feed lessons into the next solution cycle.
Other
- Experienced in stakeholder discovery, process mapping, and turning requirements into clear AI use cases.
- Natural educator who has led workshops or produced self-serve guides that stick.
- Iterative by nature, quick to test, learn, and refine without needing a formal CS degree.
- We balance creativity and innovation on a foundation of in-person collaboration. For most roles, our employees work three or more days in our offices, where they have the opportunity to collaborate in-person, adding richness to our culture and knitting us closer together.
