Salary
💰 $119,000 - $188,000 per year
About the role
- Collaborate with cross-functional teams including engineering, design, and marketing to define product requirements, prioritize features, and drive product roadmap execution for Entrata’s digital marketing solutions.
- Lead cross-functional teams in the end-to-end product development lifecycle, integrating AI capabilities to enhance user experiences and streamline processes.
- Define and communicate product vision, strategy, and roadmap that aligns with business objectives and customer needs.
- Develop and maintain detailed product requirements, user stories, and specifications for development teams in the US and in India.
- Spearhead the development and deployment of AI algorithms for marketing optimization, working closely with data scientists and engineers to refine models and improve lead qualification accuracy.
- Conduct market research and competitive analysis to identify trends, opportunities, and areas for innovation within the property management digital marketing and advertising space.
- Monitor key performance metrics, such as CPAL, and user feedback to iterate on product enhancements, address pain points, and drive continuous improvement across our digital marketing product suite.
- Work directly with customers and prospects to evangelize the solutions you build and drive adoption and PLG.
- Previous experience working with cross-functional, geographically dispersed teams and enterprise customers.
Requirements
- Bachelor's degree in Computer Science, Engineering, Business Administration, Marketing, or a related field.
- 2+ years of experience in product management, with a focus on digital marketing, ad-tech, or related software solutions.
- 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.
- Proven track record of successfully managing the end-to-end product lifecycle, from concept to launch and iteration.
- Strong analytical skills, with the ability to interpret data, extract insights, and make data-driven decisions.
- Excellent communication and collaboration skills, with the ability to effectively engage with stakeholders at all levels.
- Demonstrated ability to thrive in a fast-paced, dynamic environment, managing multiple priorities and driving results.