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Manager Appfolio Jobs (NOW HIRING)

$152K - $190K/yr

Our Growth Account Executive - Corporate sales reps are a team of full cycle sales people, selling a portfolio of products into AppFolio's existing customer base of property management clients. The ...

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 is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Benefits Manager is the trusted expert behind one of the most personal aspects of life at ...

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 ...

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.

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 is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

CO

$114K - $143K/yr

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

Treasury Manager

Richardson, TX · On-site

$114K - $143K/yr

AppFolio is more than a company. We're a community of dreamers, big thinkers, problem solvers ... The Treasury Manager will serve as a cornerstone of our financial operations, creating robust ...

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Manager Appfolio information

See salary details

$24.5K

$59.5K

$116K

How much do manager appfolio jobs pay per year?

As of Jun 22, 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.

Is AppFolio a good company to work for?

As a Manager at AppFolio, employees generally report a positive work environment with opportunities for growth and development. The company emphasizes collaboration, uses cloud-based software tools, and offers competitive benefits. However, experiences can vary based on individual roles and departments.

Who runs AppFolio?

AppFolio is a publicly traded company led by its executive management team and board of directors. The company is managed by its CEO and other senior leaders who oversee daily operations and strategic direction. As a software provider, it employs professionals skilled in technology, customer service, and product development.

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.

Is AppFolio a property manager?

A Manager at AppFolio typically refers to a role responsible for overseeing property management tasks using the AppFolio platform. This role involves managing rental properties, coordinating maintenance, and ensuring tenant satisfaction, often requiring knowledge of property management software and industry regulations.

How difficult is AppFolio to learn?

For a Manager using AppFolio, the platform has a moderate learning curve, especially for those new to property management software. Familiarity with basic accounting, leasing processes, and user interface navigation can help speed up the learning process, which typically involves training sessions and practice. Overall, with dedicated effort, most users can become proficient within a few weeks.
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:

Staff Machine Learning Engineer

AppFolio

San Diego, CA

Full-time

Posted 20 days 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 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.
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: $200,000 - 250,000 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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