Product Engineer Jobs at Snowflake with Visa Sponsorship
Product Engineer jobs at Snowflake involve building the infrastructure and features powering its cloud data platform, and the company has a consistent track record of sponsoring work visas for this function. If you're on F-1 OPT, H-1B visa, or another work-authorized status, Snowflake actively supports engineers through the sponsorship process.
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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.
Data Transformation is the foundational product portfolio that makes enterprise Agentic AI possible. Our mission is to transform the full enterprise data estate. We build the product that guides customers through every layer of a modern AI architecture: from Platform Foundation & Migration, through Data Ingestion & Engineering, to Semantic, Context, Ontology, & Governance layers. By unlocking each layer, we enable customers to deploy Agentic AI with full, governed access to their complete Snowflake data estate. The Data Transformation workflows are some of the most complex enterprise challenges and the most impactful for our customers and for Snowflake.
FRONTIER ENGINEERING
Sitting within Snowflake’s Frontier Engineering organization—a specialized team of Engineers, Product Managers, Solutions Architects, and AI Experts—you will own Snowflake’s Data Transformation product portfolio. Your scope spans intelligent migration products that understand and rewrite legacy application logic, multi-source ingestion pipelines, legacy data warehouse modernization, ETL/ELT transformation, and data platform rationalization. In this role, you will set product vision, lead a team of PMs, and deliver the tooling that turns fragmented legacy infrastructure into an AI-first enterprise platform.
AS A DIRECTOR OF PRODUCT MANAGEMENT, YOU WILL:
- Define Vision & Strategy: Own the strategic roadmap across the full transformation stack—from platform migration to semantic and context layers—ensuring every initiative moves enterprises closer to an AI-ready Snowflake platform.
- Lead & Scale a High-Performing PM Team: Build, mentor, and manage a team of product managers, fostering a culture of high velocity, accountability, and technical rigor.
- Partner with Engineering Leadership: Deeply engage with technical leaders to shape execution strategies, balancing engineering effort and long-term architectural scalability across complex pipeline and query transformation workloads.
- Drive Execution with an MVP Mindset: Champion speed and clarity, setting precise roadmap milestones, prioritizing ruthlessly, and ensuring seamless cross-functional alignment.
- Own GTM & Customer Adoption: Partner with Marketing, field teams, and executive customers to position transformation capabilities, accelerate migrations, and drive platform adoption.
- Drive Thought Leadership: Serve as an external voice for Snowflake, helping shape the industry narrative around legacy modernization, automated pipeline refactoring, and AI-first data architecture.
OUR IDEAL DIRECTOR OF PRODUCT MANAGEMENT WILL HAVE:
- 12+ Years in Data Infrastructure: Proven track record delivering enterprise-scale data platforms, migration tooling, query engines, or pipeline infrastructure.
- Proven PM Leadership: Strong experience building, managing, and mentoring high-performing product management teams.
- Deep Technical Foundation: Hands-on familiarity with modern data ecosystems—including SQL execution, ETL/ELT patterns, declarative pipelines, and workflow orchestration.
- Applied GenAI Exposure: Practical understanding of AI-assisted capabilities, such as automated code translation, developer co-pilots, semantic validation, and LLM-driven refactoring.
- Strategic & Analytical Execution: Ability to navigate technical ambiguity, make sound decisions using data and instincts, and reduce time-to-value for enterprise customers.
- Executive Communication: Exceptional ability to translate complex architectural capabilities into clear, compelling narratives for customers, field leadership, and executives.
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:
- The estimated base salary range for this role is $304,000 - $437,000.
- 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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See all Product Engineer Jobs at Snowflake
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Get Access To All JobsTips for Finding Product Engineer Jobs at Snowflake
Align your portfolio with Snowflake's platform architecture
Snowflake Product Engineers work across distributed systems, cloud-native infrastructure, and SQL-layer features. Tailor your portfolio to show hands-on work with large-scale data pipelines or multi-cloud deployments before you apply.
Start OPT paperwork before your offer closes
F-1 students targeting Snowflake roles should initiate OPT authorization with their DSO well before a verbal offer becomes a start date. USCIS recommends filing at least 90 days before employment begins to avoid gaps.
Clarify H-1B sponsorship timing during your recruiter screen
Ask directly whether the role is cap-subject or cap-exempt and when the company files petitions. For cap-subject H-1B roles at Snowflake, USCIS registration opens in March, so your start date almost certainly falls in October.
Target teams where Snowflake files LCAs consistently
DOL Labor Condition Application disclosures show the job titles and work locations Snowflake certifies most often. Focus your applications on engineering functions that appear repeatedly, as those teams have established sponsorship workflows.
Use Migrate Mate to filter open Product Engineer roles by visa type
Not every Snowflake posting explicitly states sponsorship eligibility. Use Migrate Mate to surface roles filtered by the visa types Snowflake sponsors, so you're applying to positions where your status is already accounted for.
Confirm PERM sponsorship intent before accepting a senior offer
For Product Engineer roles at the senior level, ask your recruiter whether the company initiates PERM-based Green Card sponsorship and at what tenure. PERM timelines with DOL can exceed two years, so understanding the policy early shapes your long-term planning.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for Product Engineers?
Yes, Snowflake sponsors H-1B visas for Product Engineer roles. The company files cap-subject H-1B petitions through the annual USCIS lottery, with registration typically opening in March and approved status beginning October 1. If you're already on a valid H-1B with another employer, Snowflake can file an H-1B transfer, letting you start work as soon as USCIS receives the petition.
How do I apply for Product Engineer jobs at Snowflake?
Applications go through Snowflake's careers portal at snowflake.com/careers. Filter by the engineering or product engineering job family to find relevant openings. Before applying, review the role's listed qualifications closely since Snowflake Product Engineer postings often specify preferred experience with distributed systems, cloud infrastructure, or their core Snowflake platform. Tailoring your resume to those specifics meaningfully improves your chances of moving to a recruiter screen.
Which visa types does Snowflake commonly sponsor for Product Engineer roles?
Snowflake sponsors several visa categories for Product Engineers, including H-1B, F-1 OPT and CPT, TN visa for Canadian and Mexican nationals, J-1 visa, and employment-based Green Cards through the EB-2 and EB-3 categories. The right pathway depends on your nationality and current immigration status. F-1 students often enter through OPT before transitioning to H-1B sponsorship after the annual lottery.
What qualifications does Snowflake expect for Product Engineer roles?
Snowflake Product Engineer roles generally require a bachelor's degree in computer science, software engineering, or a closely related field, and the specialty occupation standard USCIS applies to H-1B petitions maps directly to that requirement. Beyond the degree, Snowflake typically looks for experience with cloud platforms such as AWS, Azure, or GCP, proficiency in languages like Python, Java, or C++, and familiarity with large-scale distributed systems. Senior roles often expect prior experience shipping platform-level or infrastructure features.
How do I find Product Engineer roles at Snowflake that match my visa status?
Snowflake's public job listings don't always specify which visa types a particular team will support. Migrate Mate lets you browse open Product Engineer positions at Snowflake filtered by the visa categories the company sponsors, so you can focus your applications on roles where your immigration status is a known fit rather than an open question to resolve late in the process.