Learning Manager Visa Sponsorship Jobs in New York
Learning manager visa sponsorship jobs in New York are concentrated in financial services, media, technology, and professional services firms headquartered in Manhattan, with additional opportunities in Albany's public-sector and healthcare organizations. Major employers including JPMorgan Chase, Deloitte, and NBCUniversal regularly hire learning and development professionals and have established visa sponsorship programs for qualified international candidates.
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Get Access To All JobsINTRODUCTION
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.
ROLE AND RESPONSIBILITIES
- Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.
- Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals.
- Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences.
- Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans.
- Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance.
- Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn.
- Drive effective planning and delivery while balancing immediate priorities with long-term technical health.
- Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership.
BASIC QUALIFICATIONS
Who You Are
- You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results.
- You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations.
- You understand the opportunities and challenges of developing and operating machine learning systems in production.
- You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals.
- You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions.
- You care about building inclusive, collaborative environments where people feel supported and empowered.
- You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs.
LOCATION
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
COMPENSATION
The United States base range for this position is $227,495 - $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
EEO STATEMENT
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
INTRODUCTION
The Personalization team makes deciding what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them.
At Spotify, great personalization is about more than recommending the right song. It's about creating listening experiences that feel effortless and meaningful while balancing the needs of listeners, creators, and our business.
The Samba team, part of Spotify's Personalization Mission, works on multi-objective balancing and sequencing for personalized listening experiences like Autoplay, Radio, and Mixes. Our engineers bring together machine learning, backend engineering, and data engineering to build systems that support Spotify's financial objectives while keeping listeners at the center of what we do.
We're looking for an Engineering Manager to lead this team, develop our engineers, and help shape the technical direction of systems that influence how millions of people experience Spotify.
ROLE AND RESPONSIBILITIES
- Lead and grow a team of machine learning, backend, and data engineers, supporting their development and helping them deliver their best work.
- Shape the team's technical strategy and execution, ensuring engineering efforts align with listener needs and Spotify's broader business goals.
- Guide the development of machine learning and recommendation systems that balance multiple objectives across personalized listening experiences.
- Collaborate with Product and engineering partners to define priorities, align on outcomes, and translate complex challenges into clear plans.
- Support the team in making thoughtful technical decisions across experimentation, scalability, system reliability, and model performance.
- Create a culture of ownership, collaboration, and continuous improvement, where engineers feel empowered to experiment and learn.
- Drive effective planning and delivery while balancing immediate priorities with long-term technical health.
- Foster an inclusive, supportive team environment through coaching, feedback, and thoughtful people leadership.
BASIC QUALIFICATIONS
Who You Are
- You have experience managing and developing engineering teams, with a track record of helping people grow and delivering impactful results.
- You bring a strong technical background in machine learning, software engineering, or related areas, and can confidently guide technical conversations.
- You understand the opportunities and challenges of developing and operating machine learning systems in production.
- You have experience working with cross-functional partners to define priorities, navigate trade-offs, and deliver against shared goals.
- You are comfortable leading teams through ambiguity and helping engineers make informed technical decisions.
- You care about building inclusive, collaborative environments where people feel supported and empowered.
- You communicate with clarity, lead with empathy, and know how to balance people, technology, and business needs.
LOCATION
- We offer you the flexibility to work where you work best! For this role, you can be within the North Americas region as long as we have a work location.
- This team operates within the Eastern Standard time zone for collaboration.
COMPENSATION
The United States base range for this position is $227,495 - $262,928 plus equity. The benefits available for this position include health insurance, six month paid parental leave, 401(k) retirement plan, monthly meal allowance, 23 paid days off, 13 paid flexible holidays, paid sick leave. These ranges may be modified in the future.
EEO STATEMENT
Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens.
At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can.
OUR GLOBAL BENEFITS
- Extensive learning opportunities, through our dedicated team, GreenHouse.
- Flexible share incentives letting you choose how you share in our success.
- Global parental leave, six months off - for all new parents.
- All The Feels, our employee assistance program and self-care hub.
- Flexible public holidays, swap days off according to your values and beliefs.
Learning Manager Job Roles in New York
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Search Learning Manager Jobs in New YorkLearning Manager Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for learning managers in New York?
Large professional services and financial firms are the most active sponsors for learning manager roles in New York. Companies such as JPMorgan Chase, Deloitte, PwC, Citigroup, and NBCUniversal have demonstrated LCA filing histories for learning and development positions. Technology firms with New York offices, including Google and Amazon, also sponsor this role. Sponsorship activity is concentrated among enterprises with dedicated L&D functions rather than smaller organizations.
Which visa types realistically fit learning manager roles in New York?
Learning manager roles typically require a bachelor's degree in education, instructional design, organizational development, or a related field, which qualifies them as specialty occupations under the H-1B visa. Australian nationals can pursue the E-3 visa under the same specialty occupation standard. Chilean and Singaporean nationals may qualify for the H-1B1 visa. F-1 students with degrees in education or organizational development may work under OPT while pursuing sponsorship. Employer-sponsored EB-2 or EB-3 green cards are also a pathway for longer-term candidates.
Which cities in New York have the most learning manager sponsorship jobs?
Manhattan accounts for the majority of learning manager sponsorship opportunities in New York, driven by the density of corporate headquarters in finance, consulting, media, and technology. Brooklyn has a growing presence through tech startups and healthcare systems. Albany and Buffalo offer opportunities with state government agencies, healthcare networks, and universities, though sponsorship activity there is lower. For roles outside Manhattan, large healthcare systems such as Northwell Health are notable sponsors.
How to find learning manager visa sponsorship jobs in New York?
Migrate Mate lists New York employers with verified LCA sponsorship history for learning manager and related L&D roles, letting you search by city and filter to companies that have already sponsored this occupation. This is more targeted than a general job search because it focuses specifically on employers with a documented track record of sponsoring learning manager positions rather than those who may consider it case by case.
Are there any New York-specific factors that affect learning manager visa sponsorship?
New York's concentration of regulated industries, including finance, healthcare, and media, means many learning manager roles require domain expertise that can strengthen a specialty occupation argument for H-1B purposes. The state's large university system also creates a pipeline for candidates on OPT transitioning into corporate L&D roles. New York City employers are generally experienced with visa processes, making them more likely to have existing sponsorship infrastructure compared to employers in smaller upstate markets.
What is the prevailing wage for sponsored learning manager jobs in New York?
U.S. employers sponsoring a visa must pay at least the prevailing wage, which is what workers in the same role, area, and experience level typically earn. The Department of Labor sets this rate to make sure companies aren't hiring foreign workers simply because they'd accept lower pay than a U.S. worker. It varies by job title, location, and experience. You can look up current prevailing wage rates for any occupation and location using the OFLC Wage Search page.