Snowflake H-1B Visa Sponsorship Jobs USA
Snowflake sponsors H-1B visas across engineering, data science, product, and go-to-market roles, making it a strong option for international candidates in the cloud data platform space. Known for high-growth hiring, Snowflake has an established track record of supporting H-1B visa workers across technical and non-technical functions.
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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.
Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
- 10+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
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?
COMPENSATION
- 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 $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062.
- 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.
Our Solution Engineering organization is seeking an AI Specialist who can provide hands-on expertise and support while working with technical decision makers and data scientists to design and architect AI solutions built on the Snowflake AI Data Cloud.
This is a strategic role that works closely with cross-functional teams, including product, engineering, and the broader field organization to ensure successful execution and customer adoption of Snowflake’s AI & ML solutions.
IN THIS ROLE YOU WILL GET TO:
- Be the technical expert in the room that positions Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers across the Americas.
- Partner with Snowflake account team teams and customer champions to scope and drive POCs to success and technical wins that prove the value of Snowflake’s capabilities, including executive readouts and business value cases.
- Collaborate with Snowflake’s product and engineering teams to influence Snowflake’s AI and ML roadmaps based on customer feedback.
- Publish content that helps the team and company scale beyond your individual efforts, like blog posts, presentations at conferences, or technical collateral like notebooks and demos.
- Influence, tailor and maintain Sales Engineering AI and ML selling assets, including customer presentations, demonstrations, and customer stories.
ON DAY ONE, WE WILL EXPECT YOU TO HAVE:
- 10+ years of experience building and deploying machine learning and generative AI solutions in the cloud.
- Familiarity and associated knowledge of generative AI techniques like RAG, few shot learning, prompt engineering, or fine-tuning that are used to operationalize enterprise AI use cases like interactive chat applications or text processing.
- Deep knowledge of Python and common ML packages (such as LangChain, pandas, sklearn, and PyTorch) as well as data engineering tools and technologies like dbt, Airflow, and Spark.
- Strong presentation skills to both technical and executive audiences, whether whiteboarding sessions or formal readouts and demos.
- Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience preferred.
BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:
- Working knowledge of tools in the LLM ecosystem such as LangChain, LlamaIndex, or other OSS packages.
- Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. AWS, Microsoft Azure, GCP, etc.)
- 1+ years of practical Snowflake experience.
- Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)
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?
COMPENSATION
- 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 $252,000 - $330,750. The estimated base salary for this role is $189,000 - $248,062.
- 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.
Job Roles at Snowflake
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Get Access To All JobsTips for Finding Snowflake H-1B Jobs
Target engineering and data roles first
Snowflake's core product is built on cloud data infrastructure, so software engineers, data engineers, and ML engineers represent the strongest pipeline for H-1B sponsorship. These teams hire consistently and have the clearest precedent for sponsoring international candidates.
Confirm sponsorship eligibility before applying
Not every Snowflake role is open to H-1B candidates. Job postings sometimes indicate visa status requirements, read them carefully. Migrate Mate surfaces verified sponsors so you can filter by real sponsorship history and avoid wasting applications.
Understand Snowflake's H-1B petition timeline
H-1B petitions tied to the annual cap must be filed by April 1 for an October 1 start date. If you're already on OPT or another status, Snowflake can file outside the cap window for faster transitions. Clarify your timeline during early recruiting conversations.
Highlight specialty occupation credentials clearly
Snowflake's H-1B petitions require demonstrating your role qualifies as a specialty occupation. In Technology and Software, that typically means a directly related degree. Emphasize your technical degree and how it aligns specifically with the role's requirements in your application materials.
Engage Snowflake recruiters directly about sponsorship
Snowflake's talent acquisition team handles H-1B logistics through internal legal and HR channels. Asking about sponsorship early, ideally during the initial recruiter screen, signals preparedness and helps both sides avoid misaligned expectations later in the process.
Look beyond headquarters for sponsored roles
Snowflake operates offices across multiple U.S. cities including San Mateo, New York, and Atlanta. H-1B sponsorship is available regardless of office location. Broadening your search geographically increases your chances of finding a sponsored opening that matches your skill set.
Snowflake H-1B Visa Sponsorship: Frequently Asked Questions
Does Snowflake sponsor H-1B visas?
Yes, Snowflake sponsors H-1B visas. The company has an active sponsorship program supporting international candidates across technical and business functions. Sponsorship is handled through Snowflake's internal legal and HR teams, and the company has a consistent track record of filing H-1B petitions for qualifying roles.
Which roles and departments at Snowflake typically receive H-1B sponsorship?
Engineering roles, including software engineering, data engineering, and machine learning, represent the strongest H-1B sponsorship pipeline at Snowflake given the company's core focus on cloud data infrastructure. Product management, solutions architecture, and certain go-to-market roles have also been sponsored, though technical positions see the most consistent H-1B activity.
How do I navigate the H-1B application process at Snowflake?
Once Snowflake extends an offer to a candidate requiring H-1B sponsorship, their immigration legal team files the Labor Condition Application with the Department of Labor, followed by the H-1B petition with USCIS. Snowflake manages this process internally, so your primary responsibility is providing accurate documentation and responding promptly to any requests from their legal team.
How long does H-1B sponsorship take at Snowflake?
For cap-subject H-1B petitions, the process runs on a fixed government calendar, registration in March, selection in April, and an October 1 start date at the earliest. If you're already in valid H-1B or OPT status, Snowflake can file a transfer or extension outside that window, which typically resolves in two to six months depending on processing conditions.
How do I find H-1B sponsored jobs at Snowflake?
Start by browsing Snowflake's careers page and filtering for roles that match your background in engineering, data, or product. Migrate Mate is also worth using, it surfaces verified H-1B sponsors and lets you search specifically for Snowflake openings alongside other confirmed sponsors, so you can focus your applications on companies with a real sponsorship history.
What is the prevailing wage for H-1B jobs at Snowflake?
H-1B employers must pay at least the prevailing wage, which is determined when they file the Labor Condition Application with the Department of Labor. The rate is based on the role, location, and experience level, and ensures international hires are paid comparably to U.S. workers in the same position. You can look up prevailing wage rates for any occupation and location using the DOL's OFLC Wage Search tool.