Responsibilities
- Define and own the multi-year product roadmap for M3's data and AI suite, from embedded dashboards and KPI frameworks to AI-assisted forecasting and anomaly detection.
- Conduct deep discovery with hotel management companies, ownership groups, GMs, directors of finance, and revenue managers to surface unmet needs.
- Translate USALI fluency, STR benchmarking intuition, and on-property operational context into actionable requirements.
- Identify where M3's unique data assets, spanning GL, labor, PMS, and GSS, create defensible moats competitors can't easily replicate.
- Write crisp, developer-ready specs and user stories.
- Define and monitor success metrics from adoption and time-to-insight to portfolio performance outcomes.
- Manage a backlog that balances bold strategic bets with incremental improvements customers depend on daily.
- Partner with sales, customer success, and marketing to drive go-to-market for new data products.
- Work with M3's integration ecosystem to expand the platform's data surface area with new sources like OTB data, GSS, payroll, and market benchmarks.
- Collaborate with the CPO on investment cases, partner strategy, and data product monetization.
- Define practical, high-value applications of AI for hotel finance and operations (e.g., intelligent variance explanations, natural language querying, AI-generated commentary reports, predictive labor scheduling).
- Evaluate build vs. partner vs. acquire options for AI capabilities.
- Stay ahead of LLM application patterns, embedded analytics technology, and data platform architecture, with a specific lens on hospitality applicability.
Requirements
- Proven experience in product management, particularly in data platforms or AI-driven products.
- Deep understanding of financial and operational data in the hospitality industry, including USALI and STR benchmarking.
- Experience conducting customer discovery with hotel executives, including GMs, finance directors, and revenue managers.
- Ability to translate operational context into actionable product requirements.
- Experience defining and managing multi-year product roadmaps.
- Strong ability to write crisp, developer-ready specs and user stories.
- Proven ability to define and monitor success metrics such as adoption, time-to-insight, and portfolio performance.
- Experience working with cross-functional teams including sales, customer success, and marketing.
- Familiarity with data integration from sources such as PMS, GL, labor systems, GSS, and payroll.
- Understanding of AI applications in enterprise software, including forecasting, anomaly detection, and natural language interfaces.
Nice to Have
- Experience in building AI-driven products, particularly with LLMs or generative AI in operational contexts.
- Background in hospitality operations, finance, or revenue management, ideally having served in roles such as GM or corporate finance.
- Experience evaluating build-vs-partner-vs-acquire strategies for technology capabilities.
- Strategic mindset with ability to position data products as a platform rather than a reporting add-on.
