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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 ...

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 ...

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All JobsLearning Manager JobsLearning Manager Jobs in California

Learning Manager information

See California salary details

$30.6K

$76.4K

$128.3K

How much do learning manager jobs pay per year?

As of Jun 20, 2026, the average yearly pay for learning manager in California is $76,366.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,200.00 and $86,400.00 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 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 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 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.
More about Learning Manager jobs
What are the most commonly searched types of Learning jobs in California? The most popular types of Learning jobs in California are:
What are popular job titles related to Learning Manager jobs in California? For Learning Manager jobs in California, the most frequently searched job titles are:
What job categories do people searching Learning Manager jobs in California look for? The top searched job categories for Learning Manager jobs in California are:
What cities in California are hiring for Learning Manager jobs? Cities in California with the most Learning Manager job openings:
Learning Manager jobs near you
Infographic showing various Learning Manager job openings in California as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $76,366 per year, or $36.7 per hour.
Machine Learning Manager

Machine Learning Manager

Hive

San Francisco, CA

$180K - $250K/yr

Full-time

Posted 19 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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