Customer Success Engineering Visa Sponsorship Jobs in New York
Customer success engineering roles in New York are concentrated among fintech firms in Manhattan, SaaS companies across Midtown and the Flatiron District, and enterprise tech employers in Brooklyn and Long Island City. Companies like Salesforce, Twilio, and numerous Series B-to-D startups headquartered in New York actively hire for these hybrid technical-client-facing positions and have established visa sponsorship programs.
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Get Access To All JobsAt Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level.
The Role
We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities.
Responsibilities & Focus Areas:
Technical Execution & Consumption Activation:
- Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
Product Feedback & Cross-Functional Collaboration:
- Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- Participate in Communities of Practice and support knowledge-sharing initiatives across the team
Team Leadership & Development:
- Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
On day one we will expect you to have:
- 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 2+ years of people management experience, preferably leading technical overlay or specialist teams
- Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
About Our Team
Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone.
Why Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $276,000 - $362,250. The estimated base salary for this role is $207,000 - $271,688.
- Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don’t just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. At Snowflake, we empower both enterprises and individuals to reach their full potential. Our culture prioritizes impact, innovation, and collaboration, making Snowflake the ideal place to build ambitious projects, execute quickly, and advance technology — and your career — to the next level.
The Role
We are seeking a Manager, Applied Field Engineering - AI/ML Product Specialists to lead a high-performing team of Applied Field Engineers within the Applied Field Engineering organization. In this hands-on leadership role, you will manage a team of Applied Field Engineers who specialize in Generative AI, Machine Learning, and Advanced Analytics. You will be responsible for coaching your team through technical sales engagements, driving execution excellence, and ensuring customers successfully activate and consume Snowflake's AI/ML capabilities. You will translate team-level insights into feedback that shapes broader strategy, working closely with your manager and cross-functional partners to align execution with organizational priorities.
Responsibilities & Focus Areas:
Technical Execution & Consumption Activation:
- Drive team performance toward Consumption Activation — ensuring customers successfully move workloads into production and realize contracted credit value
- Coach AFEs on technical sales engagement best practices, helping them identify and prioritize high-impact opportunities
- Review and provide hands-on guidance on customer architectures to prevent technical debt and ensure scalability
- Actively participate in customer engagements as a player/coach, modeling excellence in architectural discussions and executive-level conversations
Product Feedback & Cross-Functional Collaboration:
- Aggregate and communicate field insights to senior leadership; surface recurring product gaps and customer blockers to inform roadmap discussions
- Partner with Sales leadership to ensure technical resources are aligned to regional pipeline and key account priorities
- Participate in Communities of Practice and support knowledge-sharing initiatives across the team
Team Leadership & Development:
- Recruit, onboard, and develop a team of Applied Field Engineers, with a focus on technical growth and performance management
- Build a culture of Technical Sales excellence where AFEs serve as trusted advisors to customers throughout the sales and post-sales lifecycle
- Conduct regular 1:1s, provide ongoing feedback, and support career development for direct reports
On day one we will expect you to have:
- 8+ years of industry experience in a pre-sales, technical sales, or technical consulting capacity
- 2+ years of people management experience, preferably leading technical overlay or specialist teams
- Experience with Consumption-based models: Ability to drive not just deal closures, but actual activation and usage of software services
- Technical credibility: Hands-on depth in at least one of the following: GenAI/LLMs, Machine Learning, Data Engineering, or Cloud Data Architecture
- Communication skills: Ability to engage confidently with VP and Director-level stakeholders and translate technical value into business outcomes
- Education: University degree in computer science, engineering, mathematics, or related fields (or equivalent experience)
About Our Team
Our Applied Field Engineering team consists of highly skilled and experienced technical specialists. We are passionate about client and internal stakeholder success, ensuring data is accessible, usable, and valuable to everyone.
Why Snowflake
At Snowflake, we are powering the era of the agentic enterprise. To usher in this new era, we seek AI-native thinkers across every function who are energized by the opportunity to reinvent how they work. You don't just use tools; you possess an innate curiosity, treating AI as a high-trust collaborator that is core to how you solve problems and accelerate your impact. We look for low-ego individuals who thrive in dynamic and fast-moving environments and move with an experimental mindset — who rapidly test emerging capabilities to discover simpler, more powerful ways to deliver results. At Snowflake, your role isn't just to execute a function, but to help redefine the future of how work gets done. Snowflake is growing fast, and we’re scaling our team to help enable and accelerate our growth. We are looking for people who share our values, challenge ordinary thinking, and push the pace of innovation while building a future for themselves and Snowflake. How do you want to make your impact?
For jobs located in the United States, please visit the job posting on the Snowflake Careers Site for salary and benefits information: careers.snowflake.com
The following represents the expected range of compensation for this role:
- This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $276,000 - $362,250. The estimated base salary for this role is $207,000 - $271,688.
- Additionally, this role is eligible to participate in Snowflake’s equity plan. The successful candidate’s starting salary will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location. This role is also eligible for a competitive benefits package that includes: medical, dental, vision, life, and disability insurance; 401(k) retirement plan; flexible spending & health savings account; at least 12 paid holidays; paid time off; parental leave; employee assistance program; and other company benefits.
To comply with pay transparency requirements and other statutes, you can notify us if you believe that a job posting is not compliant by completing this form.
Customer Success Engineering Job Roles in New York
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Search Customer Success Engineering Jobs in New YorkCustomer Success Engineering Jobs in New York: Frequently Asked Questions
Which companies sponsor visas for customer success engineers in New York?
Enterprise software and fintech employers dominate H-1B sponsorship for customer success engineering roles in New York. Companies including Salesforce, MongoDB, Twilio, Datadog, and Bloomberg have filed Labor Condition Applications for these positions in recent years. Larger financial services firms with in-house tech platforms, such as Goldman Sachs and JPMorgan Chase, also sponsor for technical client-facing roles when candidates meet specialty occupation requirements.
Which visa types are most common for customer success engineering roles in New York?
The H-1B is the most common visa category for customer success engineers in New York, given that the role typically requires a bachelor's degree or higher in computer science, engineering, or a related technical field, satisfying the specialty occupation standard. Candidates from Australia may qualify for the E-3, and Canadian and Mexican nationals may qualify under the TN visa category in certain circumstances. L-1B visas are also used when an employer is transferring a specialized knowledge employee from an overseas office.
How to find customer success engineering visa sponsorship jobs in New York?
Migrate Mate filters job listings specifically by visa sponsorship availability, making it straightforward to search for customer success engineering roles in New York without sifting through positions that won't support international candidates. You can narrow results by location within New York, including Manhattan, Brooklyn, and Long Island City, and identify employers with active sponsorship histories in this role category.
Which cities in New York have the most customer success engineering sponsorship jobs?
Manhattan accounts for the largest share of customer success engineering sponsorship activity in New York, particularly in the Midtown, Flatiron, and Hudson Yards tech corridors where SaaS and enterprise software companies cluster. Brooklyn, especially the DUMBO neighborhood, has grown as a secondary hub for tech employers. Long Island City in Queens and Buffalo, home to a growing health-tech sector, also see sponsorship hiring for these roles, though at lower volume.
Are there state-specific considerations for customer success engineering sponsorship jobs in New York?
New York State requires employers filing Labor Condition Applications to post LCA notices at each worksite, including remote or hybrid locations within the state, which affects how sponsoring employers document work arrangements. New York City's concentration of large H-1B-dependent employers means sponsorship processes are generally well-established, but competition for roles is high. Several universities including Cornell Tech on Roosevelt Island and Columbia University contribute a strong local pipeline of candidates, which can affect hiring timelines for open sponsorship positions.
What is the prevailing wage for sponsored customer success engineering 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.
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