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Architect the next generation of Airbnb’s internal operating system by designing and building intelligent, AI-powered solutions that address real Employee Experience (EX) pain points. Translate ambiguous HR and workforce needs into scalable products, stitch together systems and data flows, and rapidly build prototypes that demonstrate what’s possible. Move fluidly between engineering, product strategy, systems architecture, and narrative storytelling. Independently build working prototypes - agent flows, lightweight apps, LLM-driven assistants - that can progress from concept to stakeholder testing in days, not months, and that can evolve into production-ready solutions with minimal lift from partner teams. Partner closely with EX, BizTech, Legal, Privacy, and InfoSec to ensure solutions are innovative, ethical, and securely designed.
Job Responsibility:
Translate employee and manager workflows into well-defined AI product opportunities
Rapidly prototype and test working solutions (LLM agents, workflow automations, microapps, embedded tools, etc.)
Architect systems integrations across our HR tech stack (Workday, Greenhouse, Qualtrics, Airtable, RightAnswers, Asana, and more)
Lead discovery sessions with stakeholders to uncover automation and augmentation opportunities
Evaluate third-party AI tools and determine build vs. buy options
Design and execute fast-cycle pilots across knowledge management, decision support, communications, and resource planning
Define success metrics, measure impact, and iterate based on user feedback
Translate complex AI architectures into clear narratives that help stakeholders understand value and adoption paths
Ensure alignment with Airbnb’s privacy, security, and ethical AI guardrails
Continuously evolve EX’s AI strategy as organizational needs and technologies shift
Requirements:
9+ years in product management, AI engineering, and/or platform architecture, with hands-on experience building and launching AI/ML-powered products
Proven 0→1 builder with extensive experience developing GenAI prototypes, tools, and platforms from scratch
Ability to produce functional prototypes (using Claude Code or similar) within hours and stakeholder-ready demos within days
Strong systems-thinking skills with the ability to map complex workflows, diagnose root causes, and design buildable solutions
Expertise in prompt engineering, context orchestration, and adapting LLM behavior to different users, workflows, and decision contexts
Data-informed decision-maker who can define success criteria, measure ROI, and refine models and workflows
Skilled in communicating technical concepts to non-technical audiences
Highly collaborative, systems-oriented, and adept at connecting dots across people, tools, and processes
Strong visual and narrative communication skills (Figma, Miro, slideware)
Portfolio of prototypes or relevant 0→1 work preferred but not required
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