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Assistant Appfolio Jobs in Georgia (NOW HIRING)

AppFolio

GA

$100K - $138K/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 ...

AppFolio

Sr. Machine Learning Engineer

Atlanta, GA

$100K - $138K/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 ...

AppFolio

GA · On-site

$138K - $173K/yr

You take a pragmatic approach to technology--you love learning about new tools (like AI coding assistants) to boost productivity, but understand the value of mastering proven technologies. * You care ...

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Assistant Appfolio information

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 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 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 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 are the most commonly searched types of Appfolio jobs in Georgia? The most popular types of Appfolio jobs in Georgia are:
Assistant Appfolio jobs near you

Sr. Machine Learning Engineer

AppFolio

GA

$100K - $138K/yr

Full-time

Re-posted 23 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 246 rated software companies

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 hiring a Senior Machine Learning Engineer to design and ship the next generation of voice and conversational AI agents within Realm-X. This role helps define AppFolio's production voice and chat agent pipelines, working at the intersection of LLM agent frameworks, real-time voice technology, and streaming infrastructure.
You will work with Product, Voice channel, and ML Platform teams to translate cutting-edge agent and voice research into reliable, low-latency, multi-channel experiences that scale across our entire customer base.
Your Impact
  • Ship Voice & Text Agents: Architect and ship voice and text agent pipelines that handle real-time, multi-turn customer interactions.
  • Reasoning vs. Latency: Make principled trade-offs between reasoning depth and latency across frontier LLMs, smaller models, and routing strategies.
  • Lead a Pod: Lead a small pod of ML and platform engineers; raise the bar on agent evaluation, observability, and incident response.
  • Define Quality: Partner with Product and Voice channel teams to define KPIs, eval harnesses, and acceptance criteria for agent quality.
  • Optimize for Voice: Drive selective Small Language Model (SLM) fine-tuning and inference optimization for voice latency and cost.
Qualifications
  • You have shipped production AI agents serving real users in voice and/or text channels.
  • You think in pipelines and systems, not just models.
  • You move fast, deliver impact, and maintain 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
  • Agent frameworks: Deep, shipped experience with LangChain, LangGraph, LangSmith, and LangChain Deep Agents (or equivalent agent frameworks).
  • Voice stack: Hands-on with Voice-to-Voice models and traditional TTS / STT pipelines; understands the trade-offs between end-to-end voice models and modular STT → LLM → TTS architectures.
  • LLM fluency: Strong grasp of LLM reasoning behavior, tool use, structured output, and reasoning-vs-latency trade-offs across providers.
  • Telephony & cloud: Production experience with Twilio (or comparable telephony) and AWS.
  • Engineering: Expert Python, async programming, and WebSockets for real-time, bidirectional streaming.
  • ML fundamentals: Solid foundation in deep learning, model evaluation, and inference optimization; able to deploy with Docker on AWS.
  • Leadership: Demonstrated ability to lead a small team, mentor engineers, and partner credibly with Product and Design.
Nice to Have
  • Experience fine-tuning Small Language Models for domain-specific voice applications.
  • Familiarity with RAG over structured business data and tool-using agents over API surfaces.
  • Prior experience in regulated or customer-facing industries with strict reliability requirements.
  • Publicly verifiable work on GitHub, in open-source agent frameworks, or in community competitions.
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: 167,200 - 209,000 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.
Regular full-time employees are eligible for benefits - see here.

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