ZipRecruiter

Log In

1

Learning Operations Manager Jobs in New York (NOW HIRING)

Broadway National Inc

Operations Manager

Hauppauge, NY · On-site

$65K - $85K/yr

Operations Manager Our Family Broadway National, one of Inc. 5000's fastest growing privately owned ... learning about the facility maintenance business. We offer extensive training to new hires ...

Carmax

Operations Manager

Edison, NJ

Training includes learning the roles and responsibilities of Service Operations, mastering end-to-end production processes such as inventory management and cosmetic/mechanical repair, and completing ...

Carmax

Operations Manager

Edison, NJ · On-site

$115K - $201K/yr

Training includes learning the roles and responsibilities of Service Operations, mastering end-to-end production processes such as inventory management and cosmetic/mechanical repair, and completing ...

Equus

Operations Manager

Hackensack, NJ

Manage/Supervise assigned case managers on daily operations and performance. * Conduct weekly ... When you join Equus, you can expect extensive learning opportunities and networking programs. But ...

CarMax, Inc.

Operations Manager

Edison, NJ · On-site

Training includes learning the roles and responsibilities of Service Operations, mastering end-to-end production processes such as inventory management and cosmetic/mechanical repair, and completing ...

Carmax

Operations Manager

Smithtown, NY

Training includes learning the roles and responsibilities of Service Operations, mastering end-to-end production processes such as inventory management and cosmetic/mechanical repair, and completing ...

Ballard Spahr LLP

ARC Operations Manager

New York, NY

$95K - $115K/yr

Take advantage of continuous learning opportunities and avenues for career growth. * Inclusion ... As the ARC Operations Manager within the ARC team, you will: * Manage Intake Requests . Monitor ...

next page

Showing results 1-20

All JobsLearning Operations JobsLearning Operations Manager JobsLearning Operations Manager Jobs in New York

Learning Operations Manager information

See New York salary details

$33.9K

$69.4K

$129.6K

How much do learning operations manager jobs pay per year?

As of Jul 15, 2026, the average yearly pay for learning operations manager in New York is $69,423.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,900.00 and $84,800.00 per year, depending on experience, location, and employer.

How does a Learning Operations Manager typically collaborate with instructional designers and trainers within an organization?

A Learning Operations Manager works closely with instructional designers to ensure that course development aligns with organizational goals, timelines, and quality standards. They coordinate with trainers to schedule sessions, manage resources, and gather feedback for continuous improvement. Regular meetings and open communication channels are essential to address logistical challenges, troubleshoot issues, and ensure a seamless learning experience for participants. This collaborative approach helps streamline training delivery and promotes a culture of ongoing learning within the organization.

What are the key skills and qualifications needed to thrive as a Learning Operations Manager, and why are they important?

To thrive as a Learning Operations Manager, you need expertise in program management, data analysis, instructional design, and often a background in education or business. Familiarity with learning management systems (LMS), project management tools, and data reporting platforms is typically required. Strong organizational skills, problem-solving abilities, and effective communication set top performers apart in this role. These competencies ensure smooth delivery of training programs, data-driven improvements, and alignment with organizational learning goals.

What is a Learning Operations Manager?

A Learning Operations Manager is responsible for overseeing the planning, execution, and optimization of training programs within an organization. They coordinate logistics, manage learning technologies, and ensure that educational initiatives run smoothly and efficiently. This role often works closely with instructional designers, trainers, and other stakeholders to align learning activities with organizational goals. Their work helps to maximize the impact and effectiveness of professional development and training efforts.

What is the difference between Learning Operations Manager vs Learning Coordinator?

AspectLearning Operations ManagerLearning Coordinator
CredentialsTypically requires a bachelor’s degree in education, business, or related field; certifications in learning management systems (LMS) are commonUsually requires a bachelor’s degree; certifications in training or LMS are beneficial
Work EnvironmentOversees learning programs, manages teams, and collaborates with stakeholders in corporate or educational settingsSupports training sessions, coordinates schedules, and assists in content delivery within organizations
Employer & Industry UsageUsed in corporate training, e-learning companies, and educational institutionsCommon in corporate training departments, nonprofits, and educational organizations

The Learning Operations Manager focuses on managing learning programs, teams, and operational processes, while the Learning Coordinator handles logistical support and coordination of training activities. Both roles require knowledge of learning systems, but the manager has broader responsibilities in strategy and oversight.

What are popular job titles related to Learning Operations Manager jobs in New York? For Learning Operations Manager jobs in New York, the most frequently searched job titles are:
What job categories do people searching Learning Operations Manager jobs in New York look for? The top searched job categories for Learning Operations Manager jobs in New York are:
What cities in New York are hiring for Learning Operations Manager jobs? Cities in New York with the most Learning Operations Manager job openings:
Learning Operations Manager jobs near you
Infographic showing various Learning Operations Manager job openings in New York as of July 2026, with employment types broken down into 1% As Needed, 75% Full Time, 22% Part Time, 1% Temporary, and 1% Contract. Highlights an 90% Physical, 1% Hybrid, and 9% Remote job distribution, with an average salary of $69,423 per year, or $33.4 per hour.
Senior Machine Learning Operations Engineer

Senior Machine Learning Operations Engineer

Garner Health

New York, NY • On-site

$256K - $285K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 28 days ago

Job description

Garner's mission is to transform the healthcare economy, delivering high-quality and affordable care for all.
We are fundamentally reimagining how healthcare works in the U.S. by partnering with employers to redesign healthcare benefits using clear incentives and powerful, data-driven insights. Our approach guides employees to higher-quality, lower-cost care, creating a system that works better for everyone. Patients achieve better health outcomes, employers spend healthcare dollars more effectively, and physicians are rewarded for delivering exceptional care rather than performing more procedures.
Garner is one of the fastest-growing healthcare technology companies in the country. Our products are trusted by the most sophisticated employers and providers in the industry, and we are building a team of talented, mission-driven individuals who are motivated to make a meaningful impact on healthcare at scale.
About the role:
We are seeking a Senior MLOps Engineer to join our Platform Engineering team. This role will report to the Platform Engineering Manager, Developer Experience. As an early member of Garner's MLOps function, you will help build and operate the production machine learning systems that power our products, partnering closely with our machine learning and data science teams to enable the secure and consistent deployment of models. Given that these models directly influence health outcomes and cost-effectiveness for millions of patients, maintaining the highest standards of production quality is imperative.
Where you will work:
This role will be based in our New York City office (in the Financial District). You must be willing to work in the office 3 days per week on Tuesday, Wednesday and Thursday.
What you will do:
  • Help ensure the reliability, performance, functionality, and cost-efficiency of Garner's production ML systems, contributing to SLOs, observability, and on-call responsibilities.
  • Build key components of Garner's ML platform, including data infrastructure (such as a feature store, model registry, and CI/CD for models) and standardized service patterns.
  • Implement ML-specific CI/CD pipelines: Help transition our deployment process from manual notebook hand-offs to automated, PR-driven CI/CD workflows that include automated data quality checks and statistical model validation prior to deployment.
  • Drive down cost and latency through improved architecture, hardware choices, and model optimization as appropriate.
  • Contribute to the workflows, standards, and KPIs that support a growing MLOps function, helping teammates and stakeholders quickly identify the health of the team's products and focus on areas where issues reside.
  • Help establish drift monitoring: Design and implement automated data drift and concept drift monitoring systems that alert the team when models degrade, laying the groundwork for future Continuous Training (CT) architectures.
The ideal candidate has:
  • 5+ years of software engineering experience, with meaningful time spent operating ML or data-intensive systems in production.
  • Hands-on experience with the modern ML production stack: model serving (e.g., Sagemaker, Triton, or equivalent), feature stores, model registries, and CI/CD for ML.
  • Strong infrastructure and platform engineering fundamentals: Kubernetes, containerization, cloud (AWS preferred), Terraform/IaC, observability, and incident response.
  • Experience building ML platforms or significant components of one (not strictly consuming SaaS), with sound judgment around when to build vs. buy.
  • Strong collaboration with ML, data, platform engineers, data scientists, and product engineering teams, with the ability to lead projects and influence technical decisions.
  • Healthcare, regulated-data, or other high-stakes production ML experience is a plus but not required.
  • A desire to be a part of a high-performing, mission-driven team that operates with intense urgency, a strong sense of individual accountability, and a commitment to authentic feedback
Technologies we use:
  • Python, Kubernetes, AWS, Sagemaker, Terraform, S3, Snowflake, Airflow, Datadog

This is a unique opportunity to join a fast-growing company in a transformative role, helping shape the future of healthcare.
Please note: we are unable to sponsor or take over sponsorship of an employment visa at this time.
Compensation Transparency:
The target salary range for this position is $256,000 - $285,000. Individual compensation for this role will depend on various factors, including qualifications, skills, and applicable laws. In addition to base compensation, this role is eligible to participate in our equity incentive and competitive benefits plans, including but not limited to: flexible PTO, Medical/Dental/Vision plan options, 401(k), Teladoc Health and more.
Fraud and Security Notice:
Please be aware of recent job scam attempts. Our recruiters use getgarner.com and garnerhealth.com email domains exclusively. If you have been contacted by someone claiming to be a Garner recruiter or a hiring manager from a different domain about a potential job, please report it to law enforcement here and to candidateprotection@garnerhealth.com.
Equal Employment Opportunity:
Garner Health is proud to be an Equal Employment Opportunity employer and values diversity in the workplace. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, reproductive health decisions, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, genetic information, political views or activity, or other applicable legally protected characteristics.
Garner Health is committed to providing accommodations for qualified individuals with disabilities in our recruiting process. If you need assistance or an accommodation due to a disability, you may contact us at talent@garnerhealth.com.

Apply