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Since its inception in 2003, driven by visionary college students transforming online rent payment, Entrata has evolved into a global leader serving property owners, managers, and residents. Honored with prestigious awards like the Utah Business Fast 50, Silicon Slopes Hall of Fame - Software Company - 2022, Women Tech Council Shatter List, our comprehensive software suite spans rent payments, insurance, leasing, maintenance, marketing, and communication tools, reshaping property management worldwide.

Our 2200+ global team members embody intelligence and adaptability, engaging actively from top executives to part-time employees. With offices across Utah, Texas, India, Israel, and the Netherlands, Entrata blends startup innovation with established stability, evident in our transparent communication values and executive town halls. Our product isn't just desirable; it's industry essential. At Entrata, we passionately refine living experiences, uphold collective excellence, embrace boldness and resilience, and prioritize diverse perspectives, endeavoring to craft a better world to live in.

As a Product Manager for Revenue Intelligence, you will drive the strategy and execution of products that empower businesses to optimize pricing, forecast revenue, and maximize profitability. You will lead initiatives that harness data, analytics, and AI to deliver actionable insights for enterprise customers, helping them make smarter revenue decisions. If you have a passion for revenue management, experience with B2B enterprise and/or AI-driven technologies, and a knack for translating market insights into impactful product strategies, we invite you to join us in shaping the future of intelligent revenue optimization.

Responsibilities:

• Lead cross-functional teams in the end-to-end product development lifecycle, integrating AI-driven insights to enhance revenue management capabilities.
• Define and communicate a compelling product vision, strategy, and roadmap aligned with business objectives and enterprise customer needs.
• Collaborate with engineering, design, marketing, and sales teams to develop and deliver high-impact features that drive revenue intelligence adoption.
• Conduct in-depth market research, competitor analysis, and customer feedback assessments to identify growth opportunities and product innovations.
• Prioritize and manage the product backlog, leveraging data analytics to inform product decisions and optimize revenue-related features.
• Develop detailed product requirements, user stories, and specifications for development teams across multiple geographies.
• Advocate for the product internally and externally, presenting revenue intelligence capabilities to stakeholders, customers, and at industry events.
• Champion agile development methodologies, ensuring continuous iteration and improvement in product releases.
• Monitor product performance metrics, analyze user behavior, and implement enhancements based on key insights.
• Stay at the forefront of industry trends, emerging AI technologies, and best practices in revenue intelligence and enterprise software.

Minimum Qualifications:

• Bachelor's degree in Computer Science, Engineering, Business, Finance, Law, or a related field.
• 3+ years of experience in product management or related roles within the software industry.
• Experience with revenue intelligence, pricing optimization, or financial analytics products, including advanced pricing models in hospitality, travel, or fintech.
• Strong understanding of software development processes and methodologies.
• Proven ability to navigate enterprise sales cycles and drive adoption of revenue management solutions.
• Exceptional communication skills with the ability to present complex revenue intelligence concepts clearly and persuasively.
• Strong analytical skills with experience leveraging data to drive product decisions.
• Expertise in Agile/Scrum methodologies and product management tools.
• Experience working with cross-functional, globally distributed teams and enterprise customers.

Preferred Qualifications:

• MBA or an advanced technical degree (Master’s in Computer Science or equivalent).
• 3+ years of experience as a software engineer or in a related technical role.
• Experience collaborating with Machine Learning and Data Science teams to solve problems involving large datasets.