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Assistant Appfolio Jobs (NOW HIRING)

Oasys Properties

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Assistant Property Manager

Moundsview, MN · On-site

$25/hr

Document inspection outcomes with photos and notes in AppFolio Property Operations * Perform ... a Assistant Property Manager looking for full-time work. The role will work at our property in ...

Oasys Properties

Be Seen First

Assistant Property Manager

Moundsview, MN · On-site

$25/hr

Document inspection outcomes with photos and notes in AppFolio Property Operations * Perform ... a Assistant Property Manager looking for full-time work. The role will work at our property in ...

AppFolio

CO

$264K - $330K/yr

Realm-X is AppFolio's AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI ...

Wing Assistant

Real Estate Virtual Assistant (US)

Columbus, OH · Remote

$21.75 - $29.25/hr

... Appfolio, Buildium, etc.) • Proven content writing or copywriting experience • Working ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

TI ASSET MGMT

Assistant Property Manager - TIAM

Atlanta, GA · On-site

$17.75 - $24.25/hr

Process and track purchase orders and invoices in AppFolio. * Ensure invoices are coded correctly and submitted timely. * Assist with weekly, monthly, and variance reporting requirements. * Support ...

Wing Assistant

Real Estate Virtual Assistant (US)

Columbus, OH · On-site +1

$20.50 - $27.50/hr

... Appfolio, Buildium, etc.) • Proven content writing or copywriting experience • Working ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

DANARI REALTY GROUP LLC

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Assistant Property Manager

Orlando, FL · On-site

$20 - $22/hr

Maintain accurate records and documentation in AppFolio and Google Workspace * Assist with listings, marketing updates, and light social media posting * Prepare drafts for notices, updates, templates ...

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Assistant Appfolio information

What are the key skills and qualifications needed to thrive as an Assistant at AppFolio, and why are they important?

To thrive as an Assistant at AppFolio, you need strong organizational skills, attention to detail, and a background in administrative support or property management. Familiarity with property management software (especially AppFolio), office productivity tools, and CRM systems is typically required. Excellent communication, problem-solving, and multitasking abilities help you support teams and deliver superior customer service. These combined skills enable efficiency, accuracy, and effective collaboration in a fast-paced real estate technology environment.

What are some common challenges faced by Assistant Appfolio users in property management roles, and how can they be addressed?

Assistant Appfolio users in property management often encounter challenges such as staying organized amid high volumes of tenant requests and ensuring accurate data entry for leases and payments. Navigating the software’s robust feature set can also be overwhelming initially. To address these challenges, it’s beneficial to participate in Appfolio’s training webinars, utilize the built-in knowledge base, and collaborate closely with team members to share best practices. Regularly updating workflows and leveraging automation tools within Appfolio can also help streamline tasks and reduce errors.

What is an Assistant Appfolio?

An Assistant Appfolio is typically a professional who supports property managers or real estate teams using the Appfolio property management software. Their primary responsibilities include helping with tenant communications, data entry, lease management, rent collection, and coordinating maintenance requests within the Appfolio platform. They ensure that property-related information is organized and accessible, helping streamline operations for property management companies. Assistant Appfolios play a vital role in keeping day-to-day tasks efficient and ensuring the software is used to its fullest potential.

What is the difference between Assistant Appfolio vs Assistant Yardi?

AspectAssistant AppfolioAssistant Yardi
CertificationsKnowledge of Appfolio platform, property management softwareKnowledge of Yardi platform, property management software
Work EnvironmentReal estate/property management firms using AppfolioReal estate/property management firms using Yardi
Industry UsageCommon in residential property managementCommon in residential and commercial property management
Job FocusAssisting with Appfolio software tasks, data entry, tenant communicationAssisting with Yardi software tasks, data entry, tenant communication

Assistant Appfolio and Assistant Yardi are similar roles supporting property management software platforms. The main difference lies in the specific software they support: Appfolio or Yardi. Both roles involve data entry, tenant communication, and administrative tasks within property management firms that use these platforms. The choice depends on the company's software system, but both roles require familiarity with property management processes and software-specific skills.

What cities are hiring for Assistant Appfolio jobs? Cities with the most Assistant Appfolio job openings:
What are the most commonly searched types of Appfolio jobs? The most popular types of Appfolio jobs are:
What states have the most Assistant Appfolio jobs? States with the most job openings for Assistant Appfolio jobs include:
Assistant Appfolio jobs near you

Principal Machine Learning Engineer

AppFolio

San Diego, CA

$264K - $330K/yr

Full-time

Posted 18 hours ago

Job description

Hi, We’re AppFolio
We’re innovators, changemakers, and collaborators. We’re more than just a software company — we’re building the AI-native platform where the real estate industry comes to do business. We’re transforming Property Management; how property managers operate, how residents live, and how intelligence flows across an entire industry.
Realm-X is AppFolio’s AI-native platform powering this transformation. It enables a new generation of intelligent capabilities across our products, including Realm-X Assistant (copilot), Flows (AI Agentic workflows) and Performers (autonomous AI Agents). Realm-X serves as both a foundation for internal teams to build and scale AI-powered products, and a core layer delivering intelligent, high-impact experiences directly to our customers.
At its core, Realm-X is built on a structured domain ontology and a set of shared business primitives—such as transactions, actions, reports, metrics, and skills—that enable AI systems to deeply understand and operate across the full context of property management workflows. This foundation allows us to build context-aware, action-oriented AI systems that go beyond simple assistance to power real automation and decision-making.
Who We Are Looking For
We’re seeking a Principal Machine Learning Engineer to help define and lead the next generation of AI systems within Realm-X.
This is a company-impact role. You will own mission-critical AI capabilities, shape long-term technical strategy, and act as a technical visionary and advisor across teams and leadership.
You’ll operate at the intersection of traditional machine learning, deep learning, and generative AI, building systems that go beyond AI assistance into execution, automation, and optimization.
This role is for someone who doesn’t just build systems — but redefines how they should be built.
Your Impact:
  • Architect & Lead: Own the technical vision and architecture for AI systems across Realm-X in partnership with senior leadership.
  • Scale Intelligent AI Agents: Design and deploy advanced AI Agentic systems that combine reasoning, planning, and execution.
  • Improve the Foundation: Establish platform primitives and abstractions to enable context-aware, action-oriented AI that goes beyond simple assistance to true automation. Improve the standards for end-to-end ML systems: data collection, model training, evaluation, deployment, and inference infrastructure.
  • Production Excellence: Architect and build scalable, multi-modal, and real-time AI applications, ensuring high-quality deployment standards.
  • ML for Real Estate: set the technical foundation for training, fine-tuning, evaluating, and deploying open source LLM and SLM to production for optimizing performance, latency, and cost.
Qualifications
  • You think in terms of systems, platforms, and long-term leverage, not just features.
  • You’ve built and scaled ML/AI systems in production with meaningful business impact.
  • You operate effectively in high ambiguity, turning unclear problems into a clear direction
  • You’ve led or influenced large, cross-team technical initiatives.
  • You introduce new ideas, architectures, or paradigms—not just implement existing ones.
  • You bring a founder / owner-operator mindset: you take ownership, act with urgency, and focus on outcomes.
  • You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • You are humble, collaborative, and low-ego, and you elevate those around you.
  • You value work-life balance as a foundation for sustained high performance.
Must Have:
  • Master’s or Ph.D. in Computer Science, Machine Learning, or a related field (required).
  • 10+ years of experience building software systems, with significant focus on ML/AI (or equivalent impact).
  • Deep expertise across Traditional Machine Learning, Deep Learning, Generative AI / LLMs (prompting, fine-tuning, RAG, agents, tool, and skills use)
  • Strong understanding of the full ML lifecycle: data extraction, model training, evaluation, and deployment. ML models integration in production software.
  • You are an expert in Python, PyTorch, Numpy, AWS, Docker, SQL, embeddings, and RAG.
  • You have experience with LangChain, LangGraph, and LLM observability tools (LangSmith).
  • Experience designing and operating production-grade ML systems at scale
  • Proficiency with AI coding tools and workflows (e.g., Copilot, ChatGPT, code generation tools)
Nice to Have:
  • Experience with ontology-driven systems, knowledge graphs, or semantic layers
  • Experience designing evaluation and benchmarking systems for AI
  • Background in distributed systems and real-time architectures
  • Experience building platforms used by multiple engineering teams
  • Contributions to industry thought leadership (publications, talks, open source, etc.)
Location
Find out more about our locations by visiting our site. 
Compensation & Benefits
The compensation that we reasonably expect to pay for this role is: $264,000 - $330,000 base pay. The actual compensation for this role will be determined by a variety of factors, including but not limited to the candidate’s skills, education, experience, and internal equity.
Please note that compensation is just one aspect of a comprehensive Total Rewards package. The compensation range listed here does not include additional benefits or any discretionary bonuses you may be eligible for based on your role and/or employment type.

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