Transaction & Property Manager
Job Type
Full-time
Description

  

Job Title: Transaction & Property Manager
Location: Walnut, CA
Job Type: Full-Time, Monday- Friday, 9AM- 6PM
Salary Range: $60,000.00 - $75,000.00 per year


About Cubework

Cubework is a commercial real estate firm focused on innovative workspace solutions. We use AI and automation to make operations smoother and boost service quality. We're seeking a Transaction & Property Manager with strong experience in real estate transactions, property management, escrow, and auctions, who can also integrate advanced automation and AI tools into daily operations and workflow. T


he Transaction/ Property Manager will oversee a comprehensive range of commercial real estate activities—from transaction coordination and lease administration to escrow and auction management. The ideal candidate is detail-oriented, tech-savvy, and experienced in using AI-powered platforms to optimize processes. This role requires the ability to work independently, manage multiple projects simultaneously, and maintain the high performance and teamwork standards set by our VP of Real Estate. Performance will be reviewed quarterly by the VP of Real Estate and the upper management team. 

Key Responsibilities:

  • Manage      every stage of commercial real estate transactions—from initial listing to      closing—with minimal supervision.
  • Serve      as the main point of contact for buyers, sellers, cooperating agents,      title companies, escrow officers, and clients once a deal is under      contract.
  • Prepare,      review, and process lease agreements, contracts, due diligence documents,      and escrow paperwork; ensure compliance with company policies, state      regulations, and industry standards.
  • Utilize      AI-driven CRM systems and Smartsheet to track key deadlines, compliance      requirements, and overall deal flow. Leveraging AI to set up automated      reminders and notifications for upcoming deadlines, ensuring no compliance      or transaction milestone is missed. Integrating data from multiple sources      to provide a unified view of all transactions and property management      tasks, which helps in making informed decisions quickly and share real      time updates with team members and corporate management team members. 
  • Assign      and manage tasks for all pending files in the Transaction Management      System, ensuring that agents meet their responsibilities.
  • Manage      auction-related processes, ensuring smooth and compliant auction      operations.
  • Oversee      lease tracking, rent collections, maintenance requests, and tenant      relations.
  • Use      AI tools and automation platforms to streamline lease tracking,      maintenance scheduling, expense management, and property analytics.
  • Act      as the primary point of contact for tenants and clients, ensuring      exceptional customer service and clear communication regarding lease      statuses, maintenance, and operational updates.
  • Organize      repairs, service requests, and vendor contracts to maintain optimal      building operations.
  • Implement      AI-powered platforms for document automation, lease tracking, predictive      maintenance, and property performance analytics.
  • Leverage      AI-driven market analysis tools to support leasing strategies and improve      overall property performance.
  • Collaborate      on developing new tools, ideas, and templates to further streamline      operations.
  • Maintain      a professional appearance, effective communication skills, and a courteous      manner in all interactions.
  • Regularly      return calls, emails, voicemails, and texts within a reasonable timeframe.
  • Attend      weekly team meetings, provide status updates, and actively contribute to      discussions.
  • Be      flexible and efficient in prioritizing tasks in a fast-paced,      interruption-heavy environment.
  • Assist      the team with administrative tasks to allow focus on prospecting,      negotiations, and client communications.
  • The      ideal candidate must own a smartphone and showcase expertise in using AI      tools such as OpenAI, alongside advanced skills in Excel and spreadsheets.      Additionally, they should be highly proficient with Google Drive, Google      Calendar, and transaction management software to ensure real-time access      to vital information and seamless coordination of daily operations.

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Requirements

 Requirements:

  • Demonstrated      experience managing escrow processes and auction-related transactions is      essential.
  • Must      be skilled in using AI-driven tools and automation platforms to streamline      real estate operations.
  • Provide      weekly status updates on all pending contracts and maintain a high      standard of client service.
  • Prepare,      email, and gather signatures for contracts, ensuring all files comply with      legal and internal requirements.
  • Must      promptly return all calls and communications to maintain seamless workflow      and client satisfaction.

Qualifications & Skills

  • Minimum      of three years’ experience in commercial real estate transaction      coordination, property management, escrow, auction processes, or related      fields.
  • Proficient      with AI-driven real estate tools, CRMs, lease management platforms, and      process automation.
  • Excellent      organizational skills with a proven ability to manage multiple properties,      transactions, and deadlines efficiently.
  • Ability      to work independently with minimal supervision and manage responsibilities      with a high level of accountability.
  • Strong      analytical skills to troubleshoot operational challenges and streamline      processes.
  • Excellent      verbal and written communication skills for professional interactions with      tenants, clients, and stakeholders.
  • A      real estate license is a plus but not required.

Benefits

  • 401(k)
  • Dental      Insurance
  • Health      Insurance
  • Paid      Time Off
  • Vision      Insurance

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Salary Description
60K-75K Yearly