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Learning Manager Jobs in Santa Barbara, CA (NOW HIRING)

Lifelong Learning

Science Teacher

Ventura, CA · On-site

$81K - $103K/yr

Model and guide students to develop strategies that foster independent learning skills such as, goal-setting, time management, and accessing/utilizing resources * Use relevant technology to support ...

Wendy's

Wendys General Manager

Ventura, CA · On-site

Conduct onboarding and orientation for new hires using the company's learning management system. * Conduct performance reviews and provide coaching to support development and accountability.

Wendy's

Wendys General Manager

Ventura, CA · On-site

Conduct onboarding and orientation for new hires using the company's learning management system. * Conduct performance reviews and provide coaching to support development and accountability.

Wendy's

Wendys General Manager

Goleta, CA · On-site

Conduct onboarding and orientation for new hires using the company's learning management system. * Conduct performance reviews and provide coaching to support development and accountability.

Lifelong Learning

Special Education Teacher

Ventura, CA · On-site

$81K - $103K/yr

Responsible to manage a student's behavior. * Demonstrate competency in all subject areas ... Knowledge and understanding of Independent Study, Personal Learning, and Distance Learning ...

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Showing results 21-40

All JobsLearning JobsLearning Manager JobsLearning Manager Jobs in Santa Barbara, CA

Learning Manager information

See Santa Barbara, CA salary details

$34.5K

$86.1K

$144.6K

How much do learning manager jobs pay per year?

As of Sep 4, 2026, the average yearly pay for learning manager in Santa Barbara, CA is $86,098.00, according to ZipRecruiter salary data. Most workers in this role earn between $65,600.00 and $97,400.00 per year, depending on experience, location, and employer.

What is a learning manager?

A learning manager creates training opportunities for employees who want to focus on skills development and job advancement. As a learning manager, your duties include assessing the needs of a company or organization, planning training programs, and working with third-party educators to meet the company’s needs. You may also assist employees seeking to change their career path. Qualifications for the job vary depending on employer needs, but you typically need a bachelor’s degree in human resources, business management, or a similar field and relevant work experience.

What is a learning manager?

A Learning Manager is a professional responsible for designing, implementing, and overseeing training and development programs within an organization. They assess learning needs, create educational materials, and ensure that employees have access to the resources required for professional growth. Learning Managers often collaborate with subject matter experts and use various technologies to deliver effective training. Their goal is to enhance workforce skills, improve performance, and support organizational objectives.

What are the main challenges learning managers face when implementing new training programs across multiple departments?

Learning Managers often encounter challenges such as aligning training content with diverse departmental needs, ensuring consistent participation, and measuring the effectiveness of programs across various teams. Coordinating with department heads to customize learning solutions, managing scheduling conflicts, and integrating feedback for continuous improvement are common aspects of the role. Success in this area requires strong communication, project management skills, and the ability to adapt training strategies to different learning styles and business objectives.

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

To thrive as a Learning Manager, you need expertise in instructional design, curriculum development, and adult learning principles, often supported by a degree in education, HR, or related fields. Familiarity with Learning Management Systems (LMS), e-learning authoring tools, and assessment platforms is typically required. Strong leadership, communication, and project management skills help Learning Managers effectively lead teams and engage stakeholders. These skills ensure the design and delivery of impactful learning programs that drive organizational growth and employee development.

What is the difference between Learning Manager vs Training Coordinator?

AspectLearning ManagerTraining Coordinator
CredentialsBachelor’s degree in Education, HR, or related field; often requires experience in learning and developmentBachelor’s degree in Business, Education, or related field; certifications like ATD or CPTD are common
Work EnvironmentOversees learning programs across departments, strategic planning, manages teamsCoordinates training sessions, schedules, and logistics, often works directly with trainers and employees
Employer & Industry UsageUsed in corporate, educational, and nonprofit sectors for strategic learning initiativesCommon in corporate settings for organizing and implementing training activities

The Learning Manager focuses on developing and overseeing comprehensive learning strategies, while the Training Coordinator handles the logistics and execution of training sessions. Both roles are essential in employee development but differ in scope and responsibilities.

What degree do you need to be a learning manager?

A learning manager typically needs a bachelor's degree in education, human resources, business administration, or a related field. Many employers prefer candidates with a master's degree or relevant certifications in training and development, along with experience in instructional design or organizational learning.
More about Learning Manager jobs

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What job categories do people searching Learning Manager jobs in Santa Barbara, CA look for?

The top searched job categories for Learning Manager jobs in Santa Barbara, CA are:

What cities near Santa Barbara, CA are hiring for Learning Manager jobs?

Cities near Santa Barbara, CA with the most Learning Manager job openings:

Learning Manager jobs near you
Infographic showing various Learning Manager job openings in Santa Barbara, CA as of August 2026, with employment types broken down into 81% Full Time, 18% Part Time, and 1% Contract. Highlights an 81% Physical, 2% Hybrid, and 17% Remote job distribution, with an average salary of $86,098 per year, or $41.4 per hour.

Staff Machine Learning Engineer - Leasing

AppFolio, Inc.

Santa Barbara, CA • On-site, Remote

Full-time

Re-posted 12 days ago

Key responsibilities

  • Own the ML strategy and roadmap for Leasing products, aligning technical vision with customer outcomes.

  • Drive the development, architecture, and continuous improvement of autonomous AI leasing agents, including model quality and evaluation frameworks.

  • Build and maintain evaluation and experimentation infrastructure to ensure reliable deployment of ML models that meet production standards.

AppFolio rating

7.2

Company rating: 7.2 out of 10

Based on 8 frontline employees who took The Breakroom Quiz

184th of 247 rated software companies

Job description

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 properties are leased, how residents find their homes, and how intelligence flows across an entire portfolio.
Realm-X is AppFolio's AI-native platform powering this transformation. Within it, Realm-X Leasing Performer is an autonomous AI agent that handles the end-to-end leasing lifecycle - lead management, tour scheduling, follow-up, application processing, etc. - on behalf of property managers and leasing teams. It's one of AppFolio's most ambitious bets on autonomous AI, and it needs ML engineering worthy of that ambition.
Who We Are Looking For
We're hiring a Staff Machine Learning Engineer to own the ML strategy and execution that makes the Realm-X Leasing Performer production-grade, observable, and continuously improving. You'll sit at the intersection of applied ML, agent systems, and leasing domain expertise - working directly with Leasing Engineering, Voice & Agents, and Research ML to translate prototypes into systems our customers can depend on every day.
This isn't a platform-only role. You'll be close enough to the product to shape how the Leasing Performer reasons, acts, and learns - and close enough to infrastructure to make sure it's reliable, cost-efficient, and safe at scale.
Your Impact
  • Own the ML Strategy for Leasing: Define and drive the machine learning roadmap across Leasing products - identifying where ML creates the most leverage, making the right model and architecture bets, and working closely with Product and Engineering leadership to align the team around a coherent technical vision that reflects real customer outcomes.
  • Drive the Development & Architecture for Autonomous AI Agents: Be the ML lead for AppFolio's autonomous leasing agent - shaping how it communicates with prospective tenants and helps streamline leasing operations. You'll own the model quality, evaluation framework, and continuous improvement loop that makes the Performer better over time.
  • Translate Research into Product: Partner with Voice & Agents and Research ML to evaluate new capabilities - fine-tuning approaches, retrieval strategies, agentic patterns - and make the call on what's ready to ship and what needs more hardening before it reaches customers.
  • Drive Model Quality and Evaluation: Build the evaluation and experimentation infrastructure that lets the Leasing team ship ML changes with confidence - defining what "better" looks like for leasing-specific tasks and owning the metrics that reflect real customer outcomes.
  • Set the ML Bar for Leasing Engineering: Establish the patterns, standards, and practices that the broader Leasing Engineering team follows when integrating ML - from prompt engineering and RAG to fine-tuning and model selection. Be the person the team comes to when the ML question is hard.
  • Operate with Production Discipline: Ensure that ML systems powering the Leasing Performer meet the reliability bar that production SaaS demands - SLOs, observability, cost discipline, and a clear on-call posture. You don't have to build all of it, but you own the outcomes.
Qualifications
  • Systems thinker: You think in terms of platforms and long-term leverage, not just features. You understand how ML infrastructure decisions compound over time.
  • Production builder: You've built and scaled ML infrastructure in production with meaningful business impact - and you treat it like any other production system.
  • Domain curiosity: You take time to understand the business workflows your systems serve - in this case, leasing - and use that understanding to make better technical bets.
  • Ambiguity: You operate effectively in high ambiguity, turning unclear infra problems into clear direction.
  • Owner-operator: You take ownership with a founder mindset, act with urgency, and focus on outcomes.
  • Collaboration: You are humble, collaborative, and low-ego - you elevate those around you and work fluidly across ML, product, and engineering.
  • Reliability mindset: You treat ML infra like any other production system: SLOs, on-call, observability, postmortems.
  • Sustainability: You value work-life balance as a foundation for sustained high performance.
Must Have
  • ML Development at scale: Has built and supported production ML systems at scale.
  • Architectural Leadership: You have experience leading architectural discussions, defining system design, and guiding technical decision-making.
  • Inference & Training: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • Training capability: Has trained or fine-tuned language models end-to-end; comfortable with deep learning, evaluation, and inference.
  • RAG & agents: Hands-on experience with LangChain / LangGraph and modern RAG patterns over structured and unstructured data.
  • AI safety & authorization: Hands-on experience operating AI guardrails, scoped tool permissions, and authorization layers for production AI systems - especially in agentic contexts.
Nice to Have
  • Experience building ML systems for conversational AI, leasing, or CRM-adjacent workflows.
  • GPU performance tuning (vLLM, TensorRT, Triton, or similar).
  • Experience with ontology-driven systems or knowledge graphs supporting AI applications.
  • Familiarity with real estate, property management, or leasing workflows.
  • Contributions to open-source ML infrastructure or LLM tooling.

Location
Find out more about our locations by visiting our site.
All late-stage candidates complete an in-person meeting with an AppFolian as part of our hiring process.
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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About AppFolio
AppFolio is the technology leader powering the future of the real estate industry. Our innovative platform and trusted partnership enable our customers to connect communities, increase operational efficiency, and grow their business. For more information about AppFolio, visit appfolio.com.
Why AppFolio
Grow We enable a culture of high performance, where delivering results is recognized by opportunities for growth and compelling total rewards. Our challenging and meaningful work drive the growth of our business, and ourselves.
Learn We partner with you to realize your potential by investing in you from the start. We're cultivating a team of big thinkers through coaching and mentorship with our best-in-class leaders, and giving you the time and tools to develop your skills.
Impact We are creating a world where living in, investing in, managing, and supporting communities feels magical and effortless, freeing people to thrive. We do this by innovating with purpose while cultivating a culture of impact. We learn as much from each other as we do our customers and our communities.
Connect We excel at hybrid work by fostering an environment that feels flexible, personal and connected, no matter where we are. We create space to fuel innovation and collaboration, and we come together to celebrate, connect, and succeed.
Paddle as One.
Learn more at appfolio.com/company/careers
Statement of Equal Opportunity
At AppFolio, we value diversity in backgrounds and perspectives and depend on it to drive our innovative culture. That's why we're a proud Equal Opportunity Employer, and we believe that our products, our teams, and our business are stronger because of it. This means that no matter what race, color, religion, sex, sexual orientation, gender identification, national origin, age, marital status, ancestry, physical or mental disability, or veteran status, you're always welcome at AppFolio.

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