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For Companies At a Glance
- Tasks: Manage product roadmap and collaborate with teams to enhance a financial benchmarking platform.
- Company: Join Duetto, a leader in hospitality revenue management and innovative SaaS solutions.
- Benefits: Competitive salary, career growth opportunities, and a dynamic work environment.
- Other info: Work in a fast-paced, collaborative setting with a focus on innovation.
- Why this job: Shape the future of hotel revenue strategy using cutting-edge AI tools.
- Qualifications: 2-4 years in Product Management; strong communication and data-driven decision-making skills.
The predicted salary is between 45000 - 55000 £ per year.
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.
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.
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.
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.
Product Manager, HotStats employer: Duetto Research
Contact Detail:
Duetto Research Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Manager, HotStats
✨Tip Number 1
Network like a pro! Reach out to folks in the hospitality tech space, especially those at Duetto. A friendly chat can open doors and give you insights that a job description just can't.
✨Tip Number 2
Show off your skills! If you've got experience with AI tools or product management, make sure to highlight that in conversations. Bring examples of how you've used these tools to drive results.
✨Tip Number 3
Prepare for interviews by diving deep into Duetto's products. Understand their HotStats platform and think about how you can contribute to its success. This shows you're genuinely interested and ready to hit the ground running.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, it shows you're keen on being part of the Duetto team right from the start.
We think you need these skills to ace Product Manager, HotStats
Some tips for your application 🫡
Show Your Passion for Product Management: When you're writing your application, let your enthusiasm for product management shine through! Share specific examples of how you've tackled challenges in previous roles and how you can bring that experience to the HotStats team.
Tailor Your Application: Make sure to customise your CV and cover letter to highlight your relevant experience in product management and familiarity with AI tools. We want to see how your skills align with our needs at Duetto, so don’t hold back on showcasing your expertise!
Be Clear and Concise: Keep your writing clear and to the point. Use bullet points where appropriate to make it easy for us to read through your achievements and skills. Remember, we’re looking for someone who can communicate effectively across teams!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our team at Duetto!
How to prepare for a job interview at Duetto Research
✨Know Your Product Inside Out
Before the interview, make sure you thoroughly understand Duetto's HotStats product and its role in the hospitality industry. Familiarise yourself with the key features, benefits, and how it stands out from competitors. This will help you demonstrate your passion and knowledge during the conversation.
✨Showcase Your Agile Experience
Since the role involves working within Agile/Scrum processes, be prepared to discuss your previous experiences managing a product backlog and executing Scrum ceremonies. Share specific examples of how you've contributed to sprint planning or retrospectives, highlighting your ability to collaborate effectively with cross-functional teams.
✨Leverage AI Tools in Your Examples
Given the emphasis on AI-assisted workflows, come ready to discuss how you've used AI tools in your past roles. Whether it's drafting user stories or analysing customer feedback, provide concrete examples that showcase your familiarity with these technologies and how they can enhance product management.
✨Prepare for Data-Driven Discussions
As the role requires a strong understanding of data-driven decision-making, brush up on your knowledge of financial analytics and usage metrics. Be ready to discuss how you've used data to inform product priorities and feature iterations, as well as any experience you have with reporting tools or data visualisation.