Landing

Artificial Intelligence

• Build internal tools and customer-facing features on top of LLMs (OpenAI, Claude, open-source models)
• Design and maintain prompt chains, RAG pipelines, and agent workflows
• Prototype rapidly — often going from idea to working demo in days, not sprints
• Evaluate model outputs, set up evals, and iterate on quality
• Wire AI into existing systems (APIs, databases, CRMs, Slack, etc.)
• Own the full stack of a feature — frontend, backend, model integration, deployment

AI Builder

Director

• Own pricing and revenue optimization strategy for all homes, balancing occupancy, rate, and contribution profit
• Enhance and scale our machine learning–driven pricing model
• Develop and deploy dynamic pricing logic for lifecycle stages (launch vs. mature), stay lengths, and distribution channels
• Build and maintain pricing and performance dashboards using Python, SQL, and Looker
• Run elasticity tests, scenario modeling, and pacing analysis to guide decisions with a test-and-learn mindset
• Integrate external data sources (AirDNA, CoStar) into pricing strategies
• Partner with Marketing on channel mix and ROAS tradeoffs, ensuring OTA vs. direct pricing alignment
• Present insights and recommendations to senior leadership to influence revenue and investment decisions

Senior Director of Pricing

Analytics Engineer

• Own Landing's dbt models, data pipelines, and warehouse architecture.
• Maintain dbt model library — keeping models clean, tested, documented, and aligned with business data usage.
• Manage Landing's ELT stack — including Stitch, Snowflake, dbt, and associated monitoring and orchestration tooling.
• Establish a finance and operations data spine — authoritative source of truth for core executive KPIs, metric definitions, and warehouse logic.
• Develop analytics engineering standards, tooling decisions, and long-term roadmap for data platform.
• Foster cross-functional data partnerships with Engineering, FP&A, and Accounting — translate between technical infrastructure and business need.
• Enforce data quality standards, testing frameworks, and metric governance practices.
• Support executive, board, and investor reporting — work directly impacts high-stakes decision-making and fundraising.

AI Builder

Senior Director of Pricing

Senior Analytics Engineer