Sales Solutions Engineer Jobs at Snowflake with Visa Sponsorship
Sales Solutions Engineer jobs at Snowflake sit at the intersection of deep technical knowledge and enterprise sales, requiring you to demonstrate the value of cloud data platforms to sophisticated buyers. Snowflake has an established track record of sponsoring work visas for this function across multiple visa categories.
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INTRODUCTION
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.
We are seeking experienced professionals with a strong background in Artificial Intelligence, Machine Learning, and Cloud Architecture to join our Services Delivery team to help create exciting new offerings and capabilities for our customers!
In this strategic role, you will help customers expand their use of the Snowflake Data Cloud to bring AI/ML pipelines from ideation to full production. Leveraging Snowflake’s native features and extensive partner ecosystem, you will advise clients on best practices for scaling production-ready workloads. You will design tailored AI/ML solutions, coordinate closely with customer teams and Systems Integrators, and provide the technical leadership and oversight needed to ensure successful outcomes.
AS A SR. SOLUTIONS ARCHITECT AT SNOWFLAKE, YOU WILL:
- Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload and provide customers with best practices given Snowflake's technology stack.
- Work with customers to understand their AI/ML use case, discover key requirements, and architect a Snowflake-centric solution to be delivered by Services Delivery.
- Understand how to build, deploy and AI and ML pipelines using Snowflake features and/or Snowflake ecosystem based on customer requirements.
- Work hands-on where needed using SQL, Python, and Cortex AI features to build POCs that demonstrate implementation techniques and best practices on Snowflake technology within the AI/ML workload.
- Follow best practices, including ensuring knowledge transfer so that customers are properly enabled and are able to extend the capabilities of Snowflake on their own.
- Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them.
- Provide guidance on how to resolve customer-specific technical challenges.
- Support other members of the Services Delivery team develop their expertise.
- Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.
OUR IDEAL SOLUTION ARCHITECT - AI/ML WILL HAVE:
- Minimum 5 years experience working with customers in a pre-sales or post-sales technical role.
- Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
- Thorough understanding of the common generative AI and agent lifecycles including document ingestion, vector embedding selection, LLM selection and optimization, genAI monitoring and evaluation techniques.
- Thorough understanding of the complete ML life-cycle including feature engineering, model development, model deployment and model management.
- Strong understanding of AI/MLOps, coupled with technologies and methodologies for deploying and monitoring models and agents.
- Experience and understanding of at least one public cloud platform (AWS, Azure or GCP).
- Experience with at least one AI/ML platform such as AWS Sagemaker, Databricks, GCP and Vertex AI, AzureML, Dataiku, Datarobot, etc.
- Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
- Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn, LangChain/LangGraph, LlamaIndex or similar.
- University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
BONUS POINTS FOR HAVING:
- Experience with Databricks/Apache Spark.
- Experience implementing data pipelines using ETL tools.
- Proven success at enterprise software.
- Vertical expertise in a core vertical such as FSI, Retail, Manufacturing etc.
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
- The estimated base salary range for this role is $160,000 - $210,000.
- Additionally, this role is eligible to participate in Snowflake’s bonus and 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.
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Get Access To All JobsTips for Finding Sales Solutions Engineer Jobs at Snowflake
Align your portfolio to cloud data use cases
Snowflake's Sales Solutions Engineers are expected to run live demos and architect solutions around the Data Cloud. Document hands-on experience with cloud platforms, data pipelines, or analytics tools before your interview so you can speak to real technical scenarios.
Research which visa category fits your situation
Snowflake sponsors several visa types, including H-1B, TN, and F-1 OPT. Knowing which category applies to you before the offer stage helps you ask the right questions during negotiations and avoids surprises when HR initiates the filing process.
Start OPT paperwork early if you're on F-1
F-1 students must file the OPT application with USCIS at least 90 days before your program end date. If your start date at Snowflake lands close to that window, a delayed application can push your official start date back and complicate onboarding.
Target enterprise territory roles for faster sponsorship decisions
Snowflake organizes its Sales Solutions Engineering teams by vertical and territory. Roles tied to named enterprise accounts or specific industry verticals tend to have clearer headcount approval, which shortens the time between offer and when your sponsoring petition gets initiated.
Prepare your credentials for specialty occupation documentation
H-1B petitions require USCIS to confirm the role qualifies as a specialty occupation. For Sales Solutions Engineers, gather transcripts, degree certificates, and any relevant technical certifications now, since your employer's immigration counsel will need them to build the petition.
Use Migrate Mate to find open Sales Solutions Engineer roles at Snowflake
Snowflake posts Sales Solutions Engineer openings across multiple teams and regions at different times. Use Migrate Mate to filter for roles at Snowflake that actively support visa sponsorship, so you're applying to positions where the sponsorship pathway is already confirmed.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for Sales Solutions Engineers?
Yes, Snowflake sponsors H-1B visas for Sales Solutions Engineer roles. The H-1B is the most common work visa for this function because the role meets the specialty occupation standard, requiring a bachelor's degree or higher in a related technical field. Sponsorship is typically initiated after a formal offer is extended and the role clears internal headcount approval.
How do I apply for Sales Solutions Engineer jobs at Snowflake?
Applications go through Snowflake's careers portal, but roles open and close quickly across different territories and verticals. The most reliable way to track openings that include visa sponsorship is through Migrate Mate, which filters Snowflake's Sales Solutions Engineer postings by sponsorship type so you can apply to the right role at the right time.
Which visa types does Snowflake commonly use for Sales Solutions Engineers?
Snowflake sponsors H-1B, F-1 OPT, TN visa, J-1 visa, and employment-based Green Card categories including EB-2 and EB-3 for Sales Solutions Engineers. F-1 OPT is typically used for recent graduates in an initial employment period, while H-1B is the standard path for longer-term sponsorship. TN visas are an option for Canadian and Mexican nationals in qualifying technical roles.
What qualifications does Snowflake expect for Sales Solutions Engineer roles?
Snowflake's Sales Solutions Engineers are expected to combine technical depth with the ability to communicate complex solutions to enterprise decision-makers. Most roles require experience with cloud data platforms, SQL, and at least one major cloud provider such as AWS, Azure, or Google Cloud. Prior experience in a pre-sales or customer-facing technical role carries significant weight in the hiring process.
How long does the visa sponsorship process take for a Snowflake Sales Solutions Engineer offer?
Timeline depends on the visa category. F-1 OPT authorization from USCIS can take up to 90 days, so the application needs to start well before your program end date. H-1B petitions filed under standard processing take three to six months, while premium processing typically reduces that to 15 business days. Your start date is usually set to accommodate whichever timeline applies to your situation.