Product Manager, HotStats

1. About the Company

Duetto, the industry-leading hospitality revenue management system, leads the way in helping hotels, resorts and casinos optimize revenue and boost profit. Our leading SaaS platform, expanding suite of products, and incredibly skilled team have been at the heart of our continued success and our ambition for future growth knows no bounds.

Duetto is building the future of hotel revenue strategy. We’re not just another SaaS company — we’re redefining what’s possible for hotels through our category-creating platform, the Revenue & Profit Operating System.

2. Role Summary / Purpose

The Product Manager, HotStats is responsible for executing against the HotStats product roadmap, contributing to the delivery of a world-class financial benchmarking platform within the broader Duetto ecosystem. Anchored in day-to-day feature development and cross-functional execution, this role applies established product management practices — including AI-assisted workflows — to build and ship high-quality product increments that serve hotel owners, operators, and investors. The Product Manager operates within defined frameworks and priorities set by senior product leadership, actively leveraging AI tools to accelerate execution and surface insights, while developing functional skills and deepening domain expertise in hospitality financial analytics as a foundation for career growth.

3. Key Responsibilities

• Manage the HotStats product backlog using AI-assisted drafting tools to write user stories, define acceptance criteria, and maintain prioritization in alignment with roadmap direction set by product leadership.
• Contribute to quarterly roadmap planning by using AI tools to synthesize customer feedback, support trends, and usage data into structured feature recommendations for senior review.
• Execute Scrum ceremonies including sprint planning, backlog grooming, and retrospectives in close partnership with the HotStats engineering team to support consistent, quality delivery.
• Analyze customer feedback, product usage metrics, and competitive signals using AI-powered analytics platforms to accelerate insight generation and inform feature iteration.
• Build relationships with key internal stakeholders across Engineering, Customer Success, and Sales to coordinate feature delivery, communicate release timelines, and support go-to-market activities.
• Document product decisions, feature specifications, and release notes through AI-assisted workflows, applying editorial judgment to ensure accuracy and alignment with product intent.
• Investigate customer-reported issues and product gaps, triaging and escalating appropriately in partnership with Engineering and Customer Success.
• Track key product performance metrics and contribute to reporting on feature adoption, data quality, and platform health using AI-generated reporting tools to reduce manual effort.
• Implement product management practices and processes as directed by senior leadership, contributing to shared AI workflow documentation for the broader product team.
• Perform other related duties as needed to support team and company priorities.

4. Qualifications

Required:

• 2–4 years of experience in Product Management or a related discipline (e.g., business analysis, product operations, or program management)
• Demonstrated ability to write clear user stories, manage a product backlog, and work effectively within Agile/Scrum delivery processes
• Familiarity with data-driven decision making — comfortable working with usage metrics, customer feedback, and product analytics to inform priorities
• Strong written and verbal communication skills with the ability to collaborate across Engineering, Customer Success, and Sales teams
• Working familiarity with AI tools (e.g., Claude, ChatGPT, Notion AI, or equivalent) as productivity tools for drafting, synthesis, or analysis — and a demonstrated willingness to build AI-assisted workflows into day-to-day work
• Ability to operate effectively within defined frameworks, manage competing tasks, and escalate appropriately when needed

Preferred:

• Specialized skills, knowledge, or experience within the Hospitality technology industry
• Experience with or exposure to financial analytics, business intelligence platforms, or data visualization tools
• Familiarity with hotel financial performance concepts, including P&L structures or benchmarking methodologies
• Experience using AI tools specifically within a product management context — prompt design, feedback synthesis, or spec generation
• Experience working on a recently acquired product or within a high-growth SaaS environment