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Manager Appfolio Jobs (NOW HIRING)

AppFolio

Staff Machine Learning Engineer

Goleta, CA · On-site

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 ...

AppFolio, Inc.

Account Executive - SMB

Santa Barbara, CA · On-site

$140K/yr

Description AppFolio is more than a company. We're a community of dreamers, big thinkers, problem ... Manage pipeline and work activities in Salesforce.com. * Maintain accurate and up-to-date forecasts.

AppFolio

... AppFolio's integration and architecture capabilities within Business Systems. Acting as a strategic ... You will also serve as the primary authority for Third-Party Risk Management (TPRM) architectural ...

AppFolio, Inc.

Executive Assistant

Santa Barbara, CA · On-site

$94K - $118K/yr

Drive operational excellence by managing logistics, tracking action items, and ensuring follow-through on key initiatives * Partner with leaders across AppFolio and other functions to facilitate ...

AppFolio

Executive Assistant

Santa Barbara, CA · Remote

$94K - $118K/yr

Drive operational excellence by managing logistics, tracking action items, and ensuring follow-through on key initiatives * Partner with leaders across AppFolio and other functions to facilitate ...

AppFolio

Sr. Staff IT Enterprise Architect

Richardson, TX · On-site

... AppFolio's integration and architecture capabilities within Business Systems. Acting as a strategic ... You will also serve as the primary authority for Third-Party Risk Management (TPRM) architectural ...

AppFolio

Sr. Staff IT Enterprise Architect

Goleta, CA

... AppFolio's integration and architecture capabilities within Business Systems. Acting as a strategic ... You will also serve as the primary authority for Third-Party Risk Management (TPRM) architectural ...

AppFolio, Inc.

Inbound Sales Representative

Columbus, OH · On-site

$50K - $80K/yr

LiveEasy by AppFolio is changing the way homeowners and renters manage their move and their homes. We're a service-first software guiding renters and homeowners through their journey while building ...

AppFolio

Sr. Staff IT Enterprise Architect

Atlanta, GA

... AppFolio's integration and architecture capabilities within Business Systems. Acting as a strategic ... You will also serve as the primary authority for Third-Party Risk Management (TPRM) architectural ...

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All JobsAppfolio JobsManager Appfolio Jobs

Manager Appfolio information

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$24.5K

$59.5K

$116K

How much do manager appfolio jobs pay per year?

As of Jul 14, 2026, the average yearly pay for manager appfolio in the United States is $59,525.00, according to ZipRecruiter salary data. Most workers in this role earn between $42,000.00 and $68,500.00 per year, depending on experience, location, and employer.

What is the difference between Manager Appfolio vs Property Manager?

AspectManager AppfolioProperty Manager
CredentialsExperience with Appfolio software, real estate or property management certificationsReal estate license or property management certifications often preferred
Work EnvironmentPrimarily office-based, using Appfolio for operationsFieldwork and office tasks, managing properties directly
Employer & IndustryReal estate firms, property management companies using AppfolioReal estate agencies, property management firms
Search & Comparison IntentUnderstanding roles involving Appfolio software managementManaging properties and tenant relations

The Manager Appfolio typically focuses on overseeing property management operations using Appfolio software, while a Property Manager handles tenant relations, property maintenance, and leasing. Both roles may require similar certifications, but their daily tasks and focus differ based on software use versus property oversight.

More about Manager Appfolio jobs
What cities are hiring for Manager Appfolio jobs? Cities with the most Manager 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 Manager Appfolio jobs? States with the most job openings for Manager Appfolio jobs include:
What job categories do people searching Manager Appfolio jobs look for? The top searched job categories for Manager Appfolio jobs are:
Manager Appfolio jobs near you
Infographic showing various Manager Appfolio job openings in the United States as of July 2026, with employment types broken down into 1% Locum Tenens, 11% Internship, 58% As Needed, 7% Full Time, 21% Nights, and 2% Summer. Highlights an 92% Physical, 2% Hybrid, and 6% Remote job distribution, with an average salary of $59,525 per year, or $28.6 per hour.
Staff Machine Learning Engineer

Staff Machine Learning Engineer

AppFolio

Santa Barbara, CA

Full-time

Posted 13 days ago

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

155th of 209 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 Staff Machine Learning Engineer to help move forward the ML platform that every AI initiative at AppFolio depends on — training, fine-tuning, inference, RAG, evaluation, and cost. You'll keep our AI cloud always-on, observable, and economical, while staying close enough to applications to influence model and agent design.
This role works at the intersection of ML infrastructure, applied AI, and cost discipline. You'll partner closely with our Voice & Agents and Research ML engineers to harden their prototypes into production systems, and help move forward the platform layer that lets Realm-X scale across AppFolio's entire customer base.
Your Impact
  • ML Platform: Design and operate AppFolio's ML infrastructure on AWS — ECS, SageMaker, GPU fleets, model serving, autoscaling, and cost controls.
  • Drive AI Cost Discipline: Optimize cost across all AI applications — provider routing, caching, batch vs. real-time, model size selection, and inference economics.
  • Multi-Provider Reliability: Maintain reliable, multi-provider LLM access across Google, OpenAI, and Anthropic with sensible fallbacks and abstractions.
  • Training & Fine-Tuning Stack: Build the training and fine-tuning stack for Small Language Models, including data pipelines, GPU orchestration, and evaluation.
  • Productionize Research: Partner with Voice & Agents and Research ML engineers to harden their prototypes into production systems with SLOs, on-call rotations, and observability.
  • AI Safety & Guardrails: Operate AppFolio's AI safety and authorization layer — guardrails on AWS, scoped tool permissions, and human-in-the-loop gates for autonomous agent actions.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder/owner-operator mindset, act with urgency, and focus on outcomes.
  • Pace: You have a strong desire to move fast and deliver impact, while maintaining sound engineering judgment.
  • Collaboration: You are humble, collaborative, and low-ego, and you elevate those around you.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
  • Reliability mindset: You treat ML infra like any other production system — SLOs, on-call, observability, postmortems.
Must Have
  • ML infra at scale: Has built and operated production ML infrastructure on AWS — ECS, SageMaker, GPUs, autoscaling, and cost controls.
  • Inference platforms: Production experience with model serving for both LLMs and custom models; understands quantization, batching, and routing.
  • Provider breadth: Direct experience integrating with Google (Vertex / Gemini), OpenAI, and Anthropic APIs in production.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Cloud-native engineering: Strong Python, Docker, dependency management, and CI/CD for AI workloads.
  • RAG & agents: Working knowledge of LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • Cost optimization: Demonstrated experience reducing unit cost of AI workloads without regressing quality or latency.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems.
Nice to Have
  • Experience training Small Language Models for production use.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Prior Staff-level role at a company with a significant AI infra footprint.
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Contributions to open-source ML infrastructure or LLM tooling.
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