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[Remote] Staff AI Innovation Engineer, EX
Note: The job is a remote job and is open to candidates in USA. Airbnb is a global hospitality company that connects hosts and guests for unique stays and experiences. They are seeking a Staff AI Innovation Engineer to architect and build AI-powered solutions to enhance employee experience, translating HR needs into scalable products and rapidly prototyping solutions.
Responsibilities
- 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
Skills
- 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
Benefits
- Bonus
- Equity
- Benefits
- Employee Travel Credits
Company Overview
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