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Online Learning Manager Jobs in California (NOW HIRING)

Hive

Machine Learning Manager

San Francisco, CA

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Hive

Machine Learning Manager

San Francisco, CA · On-site

$180K - $250K/yr

Machine Learning Manager In order to execute our vision, we're constantly growing our machine learning team. We are looking for an exceptional leader to help us with that growth, making sure that ...

Passion For Life

This role will assist with developing, implementing, and managing eLearning programs that support ... effective online learning content. Apply now to join us in fostering a culture of continuous ...

Passion For Life

This role will assist with developing, implementing, and managing eLearning programs that support ... effective online learning content. Apply now to join us in fostering a culture of continuous ...

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All JobsOnline Learning JobsOnline Learning Manager JobsOnline Learning Manager Jobs in California

Online Learning Manager information

See California salary details

$28.6K

$103.2K

$116.5K

How much do online learning manager jobs pay per year?

As of Aug 13, 2026, the average yearly pay for online learning manager in California is $103,206.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,500.00 and $115,000.00 per year, depending on experience, location, and employer.

What does an online learning manager do?

An Online Learning Manager oversees the development, implementation, and management of online educational programs within an organization or institution. Their responsibilities typically include designing e-learning courses, managing learning management systems (LMS), supporting instructors and learners, and ensuring the quality and effectiveness of online instruction. They also analyze learner feedback and data to improve course offerings and may collaborate with subject matter experts to create engaging digital content. Overall, they play a key role in enhancing the virtual learning experience and ensuring educational goals are met.

What are the key skills and qualifications needed to thrive as an online learning manager?

To thrive as an Online Learning Manager, you need expertise in instructional design, digital pedagogy, project management, and usually a degree in education or a related field. Familiarity with learning management systems (LMS) such as Canvas or Moodle, along with certifications in e-learning development tools like Articulate or Adobe Captivate, is highly valuable. Strong leadership, communication, and problem-solving skills help drive team performance and engage diverse learners. These skills ensure the effective design, delivery, and evaluation of high-quality online learning experiences in a rapidly evolving digital environment.

What is the difference between Online Learning Manager vs Instructional Designer?

AspectOnline Learning ManagerInstructional Designer
Required CredentialsBachelor's degree in education, instructional design, or related field; certifications in e-learning toolsBachelor's or master's in education, instructional design, or related field; certifications in instructional design or e-learning
Work EnvironmentOversees online course development, manages teams, collaborates with educators and tech staffDesigns and develops online courses, creates instructional materials, works closely with subject matter experts
Employer & Industry UsageEducational institutions, corporate training, e-learning companiesEducational institutions, corporate training, e-learning companies

The Online Learning Manager focuses on overseeing online education programs, managing teams, and ensuring course delivery. In contrast, Instructional Designers primarily create and develop the instructional content and course materials. Both roles require similar educational backgrounds and certifications, but their daily responsibilities and focus areas differ.

How does an online learning manager typically collaborate with instructors and IT teams to ensure smooth course delivery?

An Online Learning Manager works closely with instructors to design and implement engaging course content, offering guidance on best practices for online pedagogy and digital tools. They also coordinate with IT teams to troubleshoot technical issues, manage learning management systems, and ensure that courses run smoothly for both students and faculty. Regular meetings and clear communication are key, as the manager acts as a bridge between educational and technical staff to resolve challenges quickly and maintain a high-quality learning experience.

What are the most commonly searched types of Online Learning jobs in California?

The most popular types of Online Learning jobs in California are:

What are popular job titles related to Online Learning Manager jobs in California?

For Online Learning Manager jobs in California, the most frequently searched job titles are:

What job categories do people searching Online Learning Manager jobs in California look for?

The top searched job categories for Online Learning Manager jobs in California are:

What cities in California are hiring for Online Learning Manager jobs?

Cities in California with the most Online Learning Manager job openings:

Online Learning Manager jobs near you
Infographic showing various Online Learning Manager job openings in California as of August 2026, with employment types broken down into 100% Full Time. Highlights an 86% In-person, and 14% Remote job distribution, with an average salary of $103,206 per year, or $49.6 per hour.

Machine Learning Manager

Hive

San Francisco, CA

$180K - $250K/yr

Full-time

Re-posted 13 days ago

Job description

About Hive 

Hive is the leading provider of cloud-based AI solutions to understand, search, and generate content, and is trusted by hundreds of the world's largest and most innovative organizations. The company empowers developers with a portfolio of best-in-class, pre-trained AI models, serving billions of customer API requests every month. Hive also offers turnkey software applications powered by proprietary AI models and datasets, enabling breakthrough use cases across industries. Together, Hive's solutions are transforming content moderation, brand protection, sponsorship measurement, context-based ad targeting, and more.

Hive has raised over $120M in capital from leading investors, including General Catalyst, 8VC, Glynn Capital, Bain & Company, Visa Ventures, and others. We have over 250 employees globally in our San Francisco, Seattle, and Delhi offices. Please reach out if you are interested in joining the future of AI!

Machine Learning Manager

In order to execute our vision, we're constantly growing our machine learning team.  We are looking for an exceptional leader to help us with that growth, making sure that each engineer reaches their full potential.  We value hard workers who have no qualms working with terabyte-scale datasets. We're interested in experimenting with new models, new ideas, and training on novel datasets. Our ideal candidate has experience managing a team of machine learning engineers working on ML projects of a massive scale, contributes innovative ideas and ingenious modeling improvement strategies to the team, and is capable of mentoring junior engineers through their journey to become better.
Responsibilities
  • Interface closely with product management, engineering, devops, labeling, and sales teams to build roadmap in supporting the long term vision of the team
  • Lead a team of highly capable and passionate machine learning engineers, helping them achieve their goals through mentorship
  • Participate in products technical design and architecture
  • Participate in the full development cycle: data collection, labeling, model development, experimentation, training, testing, and deployment in production
  • Drive delivery for our product milestones, continually releasing model with new well tested features and ensuring quality metrics are achieved
  • Implement and manage security protocols such as training, code review, and best practices
  • Own and manage the risk and security of your business function in coordination with the Security Team
  • Maintain awareness of industry best practices for data maintenance handling as it relates to your role
  • Adhere to policies, guidelines and procedures pertaining to the protection of information assets
  • Report actual or suspected security and/or policy violations/breaches to an appropriate authority
Requirements
  • Undergraduate or graduate degree in computer science or similar technical field
  • 4+ years experience as a machine learning engineer, with experience in training large deep learning models and working with real world data
  • Knowledgeable in at least one focus area of machine learning, such as computer vision, audio, or NLP
  • 2+ years experience managing machine learning teams
  • You have an ability to understand and make well-reasoned tradeoffs in designing features
  • Management skills: ability to set roadmap and goals for a team and its individual members, delegate, mentor, and deliver results
  • Have a desire to interview engineers, collaborate with a recruiting team, and smoothly onboarding new team members
  • Have experience collaborating with product managers and labeling team in delivering model improvements
Who We Are

We are a group of ambitious individuals who are passionate about creating a revolutionary AI company. At Hive, you will have a steep learning curve and an opportunity to contribute to one of the fastest growing AI start-ups in San Francisco. The work you do here will have a noticeable and direct impact on the development of the company.

Thank you for your interest in Hive and we hope to meet you soon!

The current expected base salary for this position ranges from $180,000 - $250,000. Actual compensation may vary depending on a number of factors, including a candidate's qualifications, skills, competencies and experience, and location. Base pay is one part of the total compensation package that is provided to compensate and recognize employees for their work; stock options may be offered in addition to the range provided here.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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