Salary
💰 $119,000 - $188,000 per year
About the role
- 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 different perspectives, endeavoring to craft a better world to live in.
As a Senior 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.
Requirements
- Bachelor's degree in Computer Science, Engineering, Business, Finance, Law, or a related field.
5+ 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.
Fluent in applied AI and LLMs across the SDLC, with expertise in advanced prompting, context engineering, agentic tool use, and designing AI-augmented workflows that drive automation, precision, and scale.
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.