Team Lead

Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions.

At Colleen AI (Acquired by Entrata), we develop cutting-edge AI solutions for the U.S. real estate market, helping property managers automate rent collection, leasing, and tenant communication processes. Our flagship products, Payments AI and Leasing AI improve efficiency and deliver measurable results. Now part of Entrata, a leading PMS company in the U.S., we combine a startup's agility with a global corporation's stability. With over 100 clients—including some of the largest companies in the industry—we’re redefining how property management works. Join us to make an impact in a fast-growing, meaningful field. We're looking for an Engineering Manager to lead a high-impact team responsible for delivering products and technology that revolutionize the future of the property management industry. As a team lead, you'll work on the core platform, guiding your team to solve complex challenges using innovative technologies. You will coach and empower engineers to deliver innovative, scalable solutions while fostering a culture of collaboration, continuous improvement, and technical excellence. You'll report to the VP of Engineering and work cross-functionally with product management, design, data science, and marketing to prioritize projects, manage the team, and be a valued decision-maker within the company. Join us in shaping the future of AI-driven solutions in property management and beyond!

Responsibilities

Lead the engineering team as they deliver high-quality software in a fast-paced, high-growth environment. Build and develop an incredibly talented team of driven, high-performing engineers. Evaluate trade-offs and effectively prioritize tasks within the team in alignment with strategic initiatives and company goals. You are responsible for ensuring the successful business outcomes of your team. Partner with product managers, designers, and operations to develop and successfully execute the R&D strategy to solve business problems that directly impact the property management industry. Set a high standard for your team with strong technical leadership, guidance, and mentorship. This is a hands-on role that will require some coding and architecture design. Push for continuous improvements and innovation using data-driven decisions.

Minimum qualifications 6+ years of experience in backend development, with a strong focus on building scalable and high-performance applications. 3+ years of experience in a management role. Extensive experience leading Backend Engineering teams building AI-driven products, with strong expertise in system architecture and designing complex distributed systems based on microservices. Proven ability to develop scalable backend platforms and foundational services that support AI applications and high-scale production environments. Proven ability to lead and collaborate effectively with senior engineers, stakeholders, and peers. Strong knowledge of microservices, RESTful APIs, and event-driven systems. Experience in a high-performing engineering organization, particularly with large-scale distributed systems or B2B SaaS applications. Proficient in applying software engineering best practices: including coding standards, code reviews, CI/CD, and testing. Proven experience in managing the complete dev life cycle from requirements to design, development, and go-live. Bachelor, Master, or higher degree in Computer/Software Engineering or a related field Startup experience is preferred.