
Account Manager
Cerv Property Solutions, Houston, TX, United States
About the job
Company Description
Cerv Property Solutions is dedicated to making commercial property care effortless, efficient, and refined. Leveraging modern technology and a white-glove approach, we simplify property upkeep while increasing value and building lasting trust with property managers. By emphasizing proactive support, transparent communication, and long-term relationships, we enable clients to focus on enjoying their spaces rather than managing them. Our team is passionate about delivering unparalleled service to meet the evolving needs of our clients.
Role Description
We are seeking a full-time, remote Account Manager to act as the primary point of contact for our clients. In this role, you will build and maintain strong relationships by addressing client inquiries, resolving issues promptly, and delivering a superior customer experience. Responsibilities include managing accounts, coordinating with internal teams to meet client needs, and ensuring the quality of services delivered. You will monitor client accounts for opportunities to add value, collaborate on improvement plans, and ensure all commitments and expectations are met. Your work will play a key role in fostering client satisfaction and long-lasting partnerships.
Qualifications
Relationship-building and customer service skills to maintain and enhance client satisfaction
Drive incremental revenue through upsell and cross-sell motions
Strong organizational, time management, and problem-solving abilities
Written and verbal communication skills for effective client interactions and reporting
Experience in account management, client relations, or property management is a plus
Proficiency in using CRM systems and tech-enabled platforms
Adaptable, self-motivated, and able to work effectively in a remote environment
Bachelor's degree in Business Administration, Communication, or a related field is preferred
Commitment to delivering high-quality service and maintaining a client-focused approach