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Learning Operations Manager Jobs in Massachusetts

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Learning Operations Manager information

See Massachusetts salary details

$33.9K

$69.3K

$129.4K

How much do learning operations manager jobs pay per year?

As of May 28, 2026, the average yearly pay for learning operations manager in Massachusetts is $69,302.00, according to ZipRecruiter salary data. Most workers in this role earn between $44,800.00 and $84,600.00 per year, depending on experience, location, and employer.

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.

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 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 Massachusetts? For Learning Operations Manager jobs in Massachusetts, the most frequently searched job titles are:
What job categories do people searching Learning Operations Manager jobs in Massachusetts look for? The top searched job categories for Learning Operations Manager jobs in Massachusetts are:
Learning Operations Manager jobs near you
Infographic showing various Learning Operations Manager job openings in Massachusetts as of May 2026, with employment types broken down into 84% Full Time, 13% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 4% Hybrid, and 8% Remote job distribution, with an average salary of $69,302 per year, or $33.3 per hour.
Senior Manager, Machine Learning Operations (Perception)

Senior Manager, Machine Learning Operations (Perception)

Symbotic

Wilmington, MA • On-site

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 16 days ago

Job description

Who we are

With its A.I.-powered robotic technology platform, Symbotic is changing the way consumer goods move through the supply chain. Intelligent software orchestrates advanced robots in a high-density, end-to-end system - reinventing warehouse automation for increased efficiency, speed and flexibility.

What we need

Symbotic is currently seeking an experienced leader to join our team. The Senior Manager, Machine Learning Operations (ML Ops) within the Perception team leads the development, scaling, and reliability of the ML lifecycle supporting roboticperceptionsystems. This role oversees data pipelines, deployment infrastructure, andmonitoringsystems, working closely withperceptionalgorithmand controls teams to ensure robust, scalable performance of models across large fleets of robots and warehouse environments.

What we do

The Perception team is part of the Software Engineering organization which is responsible for building and delivering the intelligent robotic software platform that powers Symbotic's automation systems. The team develops and operates perception and machine learning systems that enable robots to understand and interact with complex warehouse environments, supporting safe, efficient, and scalable operations across customer sites.

What you'll do

  • Drives the development and scaling of ML Ops infrastructure, including data pipelines, model training andvalidationworkflows, deployment systems, and monitoring frameworks.

  • Coordinates cross-functional efforts withperception, controls, and platform teams to ensure seamless integration of ML models into production robotic systems.

  • Leads end-to-end ML lifecycle processes, including dataset management, model versioning, release processes, and production validation across distributed fleets.

  • Manages and mentors a team of ML and data engineers, fostering a high-performing, collaborative, and execution-focused team environment.

  • Ensures high-quality, reliable delivery of ML-enabled functionality byestablishingbest practices in reproducibility, observability, and operational excellence.

  • Drives continuous improvement of monitoring systems, including software and hardware telemetry, to support system performance, diagnostics, and maintenance operations.

What you'll need

  • Requires aBachelor's Degree in Computer Science, Computer Engineering, Robotics, or a related field;Master's Degreepreferred or equivalent work experience.

  • Minimum of 10+ years of experience in software engineering, machine learning systems, or infrastructure development.

  • Minimum of 3+ years of experience managing or leading engineering teams in ML, data, or infrastructure domains.

  • Strongly preferred: Experience building and scaling ML Ops platforms, including data pipelines, model deploymentsystems, andmonitoring and observability tools.

  • Required technical skills:Proficiencyin Python and/or C++; experience with distributed systems and cloud platforms (e.g., GCP), containerization (Kubernetes), and data/streaming technologies (Kafka, Snowflake). Experience with analytics and visualization tools (e.g., Tableau) is preferred.

  • Competencies: Strong cross-functional leadership, execution focus, communication skills, and the ability to drive process maturity in complex, fast-paced engineering environments.

Our environment

  • Up to 10% of travel may be required. Employees must have a valid driver's license and the ability to drive and/or fly to client and other customer locations.

  • The employee is responsible for owning a credit card and managing expenses personally to be reimbursed on a bi-weekly basis.

About Symbotic

Symbotic is an automation technology leader reimagining the supply chain with its end-to-end, AI-powered robotic and software platform. Symbotic reinvents the warehouse as a strategic asset for the world's largest retail, wholesale, and food & beverage companies. Applying next-gen technology, high-density storage and machine learning to solve today's complex distribution challenges, Symbotic enables companies to move goods with unmatched speed, agility, accuracy and efficiency. As the backbone of commerce the Symbotic platform transforms the flow of goods and the economics of supply chain for its customers. For more information, visitwww.symbotic.com.

We are a community of innovators, collaborators and pioneers who embrace our differences, because we know unique perspectives make us stronger and smarter. Every perspective matters. We depend on the collective voices of our employees, customers and community to help guide us as we build a better place to work - for you and the world. That's why we're proud to be an equal opportunity employer.

We do not discriminate based on race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

The base range for this position in the posted location is $180,000.00 - $247,500.00 however, base pay offered may vary depending on job-related knowledge, skills, and experience. The compensation package includes medical, dental, vision, disability, 401K, PTO and/or other benefits.

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