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Remote Property Manager Jobs in Sandy, UT (NOW HIRING)

Entrata

Senior Data Scientist

Lehi, UT · On-site +1

$133K - $213K/yr

... property management technology. Today, we power the industry's most essential operating system ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Entrata

Senior Machine Learning Engineer

Lehi, UT · On-site +1

$144K - $233K/yr

This role will focus on adapting and fine-tuning foundation models for property management use ... Flexible and transparent culture with remote and hybrid work options, generous vacation time, and ...

Nearmap

Senior Campaign Manager

Lehi, UT · Remote

Property intelligence is reshaping how the world understands the built environment, and Nearmap is ... Candidates can reside in the US on PST/MST (Remote) or in Sydney, Australia (Hybrid) We're looking ...

3M

Project Manager

Lindon, UT · Remote

$164K - $201K/yr

... property, and manufacturing options ultimately leading to successful commercialization. * Being ... This role follows a remote work model, requiring the employee to work five days a week at any ...

Embedded Insurance

Fulfillment Specialist

Park City, UT · Remote

$26.50/hr

Active and maintained P&C license (Property & Casualty) in current state of residence required ... Ability to thrive in a fast-paced, fully remote environment, managing a full pipeline effectively.

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All JobsProperty JobsRemote Property Manager JobsRemote Property Manager Jobs in Sandy, UT

Remote Property Manager information

See Sandy, UT salary details

$26.6K

$55.4K

$91.7K

How much do remote property manager jobs pay per year?

As of Aug 23, 2026, the average yearly pay for remote property manager in Sandy, UT is $55,433.00, according to ZipRecruiter salary data. Most workers in this role earn between $41,800.00 and $64,600.00 per year, depending on experience, location, and employer.

What is a remote property manager?

A remote property manager is a professional who oversees and manages real estate properties from a location other than the property itself, often working from home or a central office. Their responsibilities typically include coordinating maintenance and repairs, handling tenant communications, processing rent payments, and ensuring compliance with property regulations. They use digital tools and platforms to perform their duties efficiently without being physically present at the property. This role is especially common for managing multiple properties or properties located in different regions.

What does a remote property manager do?

As a remote property manager, you handle the day-to-day management of a rental property from a remote or virtual location. Your responsibilities typically include explaining lease terms to a new tenant, coordinating any maintenance of the buildings and grounds, and ensuring compliance with local, state, and federal regulations as necessary. You also oversee tax requirements as necessary. You are essentially a landlord with all of the associated duties but are home-based. You may work with a real estate agent to find renters for a site, or you have more than one client and manage several properties.

What are the key skills and qualifications needed to thrive as a remote property manager, and why are they important?

To thrive as a Remote Property Manager, you need a solid understanding of property management practices, leasing regulations, and financial oversight, usually supported by relevant experience or a real estate/property management certification. Familiarity with property management software (such as AppFolio or Buildium), virtual communication tools, and digital document management systems is essential. Outstanding organizational skills, proactive communication, and problem-solving abilities are crucial soft skills for managing tenants and coordinating with contractors remotely. These skills and qualities are important to ensure efficient operations, tenant satisfaction, and effective oversight of properties from a distance.

How does a remote property manager effectively handle maintenance issues without being on-site?

As a Remote Property Manager, handling maintenance issues requires strong communication and reliable local partnerships. You’ll typically coordinate with trusted vendors or contractors in the property's area, leveraging digital tools to receive photos, updates, and invoices. Clear protocols and responsive communication with both tenants and service providers are essential for timely resolutions. Building a network of reliable local contacts and using property management software can streamline the entire process, ensuring issues are addressed efficiently even from a distance.

What is the difference between Remote Property Manager vs Leasing Agent?

AspectRemote Property ManagerLeasing Agent
CredentialsReal estate license often requiredReal estate license typically required
Work EnvironmentOversees multiple properties remotely, interacts with tenants and ownersWorks on-site or remotely to show units and process leases
Employer & Industry UsageProperty management companies, real estate firmsReal estate brokerages, property management firms
Search & Comparison IntentManaging properties remotely, overseeing tenantsFinding tenants, showing properties

Remote Property Managers and Leasing Agents both require real estate licenses and work within the property management and real estate industry. While Remote Property Managers oversee multiple properties remotely, focusing on maintenance, tenant relations, and overall management, Leasing Agents primarily focus on showing properties and securing tenants. Both roles are essential in the rental process but differ in scope and daily responsibilities.

More about Remote Property Manager jobs

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For Remote Property Manager jobs in Sandy, UT, the most frequently searched job titles are:

What job categories do people searching Remote Property Manager jobs in Sandy, UT look for?

The top searched job categories for Remote Property Manager jobs in Sandy, UT are:

What cities near Sandy, UT are hiring for Remote Property Manager jobs?

Cities near Sandy, UT with the most Remote Property Manager job openings:

Remote Property Manager jobs near you
Infographic showing various Remote Property Manager job openings in Sandy, UT as of August 2026, with employment types broken down into 81% Full Time, and 19% Part Time. Highlights an 100% Remote job distribution, with an average salary of $55,433 per year, or $26.7 per hour.

Senior Data Scientist

Entrata

Lehi, UT • On-site, Remote

$133K - $213K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Re-posted 7 days ago

Entrata rating

7.9

Company rating: 7.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

131st of 246 rated software companies

Job description

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.

We are seeking a Senior Data Scientist to help improve the quality and performance of Entrata's AI models and applications. This role will focus on fine-tuning strategy, training data, experimentation, evaluation, and identifying the approaches that produce the best outcomes for complex property management workflows.

Responsibilities:
  • Fine-tune and evaluate foundation models for Entrata-specific use cases using supervised fine-tuning and other post-training methods.
  • Design and curate high-quality training datasets, including instruction data, preference data, and synthetic data.
  • Develop evaluation frameworks and benchmarks to measure model accuracy, reasoning, reliability, and task performance.
  • Conduct experiments to determine which models, datasets, prompts, and training approaches perform best for specific use cases.
  • Perform model error analysis and identify opportunities to improve model behavior and output quality.
  • Partner with machine learning engineers to move successful experiments into production.
  • Develop approaches for measuring and improving model safety, consistency, and enterprise readiness.
  • Translate business and product problems into measurable machine learning objectives.
Minimum Qualifications:
  • 5+ years of experience in data science, machine learning, applied AI, or a related field.
  • Hands-on experience working with large language models, including fine-tuning, evaluation, or model adaptation.
  • Strong proficiency in Python and common machine learning frameworks.
  • Experience designing experiments, analyzing model performance, and working with large datasets.
  • Strong understanding of supervised learning, model evaluation, and statistical analysis.
  • Experience building or evaluating machine learning systems in production environments.
  • Ability to communicate technical findings clearly to engineering, product, and business stakeholders.
Preferred Qualifications:
  • Experience with supervised fine-tuning, preference optimization, or other LLM post-training techniques.
  • Experience creating synthetic training data or model-generated datasets.
  • Experience building LLM evaluation frameworks, benchmark suites, or automated quality measurement systems.
  • Familiarity with agentic AI systems, tool use, and retrieval-based applications.
  • Experience working with enterprise, financial, legal, operational, or other domain-specific AI applications.
  • Master's degree in Computer Science, Machine Learning, Statistics, Mathematics, or a related quantitative field, or equivalent practical experience.
$133,100 - $213,200 a year
This band covers the full salary range for the role. Your offer within this range will depend on factors like experience, skills, and internal equity.
 
Level - P4
Benefits:
Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance.

Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families.

HSA/FSA options and employer-paid disability benefits provided for eligible employees.

Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security.

Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs.

Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community.

Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits.

Bi-annual swag drops for employees

Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. 

Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law.

It's a great place to work! Will you join us?

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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