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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Get Access To All JobsINTRODUCTION
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.
ABOUT 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.
ABOUT THE TEAM
Strategic Finance is the commercial and analytical engine behind Snowflake's product and revenue decisions. The team operates at the intersection of product strategy, pricing, and investment prioritization. Product Finance, the function this role sits within, partners with each product organization on planning, performance, and pricing. We work closely with Product and Engineering leadership, and we partner across Sales, Business Development, and the Executive Leadership Team. Every consequential AI and Analytics investment, monetization, and pricing decision at Snowflake runs through analysis this team produces.
ABOUT THE ROLE
We are hiring a senior strategic finance thought partner to help shape Snowflake's AI and Analytics workloads, the company's fastest-growing and most strategically complex product surface. You will partner closely with Product, Engineering, Marketing, and Sales leadership to set strategy, evaluate growth bets, lead pricing and packaging decisions, and build the financial rigor that lets these workloads scale.
You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest. You will help define the growth model for a frontier AI product portfolio while working at the intersection of strategy, finance, and technology. This is a people manager role.
IN THIS ROLE YOU WILL
Strategic Finance Thought Partnership. Serve as the strategic finance partner to Cortex, Notebooks, Machine Learning, and Analytics product and engineering leaders. Help shape product strategy, growth priorities, pricing decisions, and investment tradeoffs.
Forecast and Performance Ownership. Own the forecast for AI and Analytics workloads, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where each workload is gaining or losing traction.
Pricing and Monetization Leadership. Lead pricing and monetization strategy for AI workloads. Set pricing principles, packaging, metering, and commercial terms across inference, training, embedded models, and AI-native applications. Bring willingness-to-pay research, competitive benchmarks, and unit economics into pricing decisions. Land emerging AI commercial structures as they graduate from incubation to scaled go-to-market.
Translate Data Into Decisions. Translate product usage, customer behavior, cohort and funnel dynamics, and financial data into clear recommendations that influence long-term strategy and day-to-day product calls.
Investment Business Cases. Build decision-ready business cases for major AI and Analytics product and go-to-market investments. Return on investment, investment sizing, risk framing, comparative tradeoffs.
Build Planning and Performance Systems. Build the forecast methodology, key performance indicator architecture, decision frameworks, executive narratives, and repeatable reporting that help the team move faster as the workloads scale.
People Leadership. Manage and develop a small team of analysts. Set the bar for analytical rigor, executive communication, and product judgment. Cultivate a team that operates as a credible thought partner to Product and Engineering.
Market Intelligence. Stay current on AI, software-as-a-service, product-led growth, consumption-based pricing, and competitive dynamics. Inform where Snowflake should invest in AI workloads and how the business model should evolve as AI changes the playbooks.
Executive Narratives.* Prepare and deliver high-quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations.
WHAT YOU WILL NEED
REQUIRED
8+ years of experience in investment banking, management consulting, strategic finance, product finance, growth finance, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.
Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage software-as-a-service, consumption-based, or usage-based business models.
Exceptional analytical and financial modeling skills, including building product profit and loss views, operating models, cohort and funnel analyses, pricing models, and unit economics that connect strategy to growth decisions.
Strong business judgment and product instincts. Ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.
Working understanding of AI and machine learning infrastructure and economics: model lifecycle, inference vs. training cost structures, AI commercial models. Curiosity about how AI products change the pricing and packaging playbooks.
The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership.
High attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving.
People management experience. Demonstrated track record of hiring, developing, and retaining strong analytical talent.
SQL fluency. Comfort working directly with product analytics datasets in a cloud data platform.
Effective communication. Capable of producing executive-quality narratives that survive Executive Leadership Team and Board review on first submission.
* Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred.
PREFERRED
Hands-on experience with AI and machine learning product economics at a high-growth company (foundation model provider, AI infrastructure, AI applications, or a major cloud's AI portfolio).
Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms.
Experience building business cases and growth models for new product categories where commercial mechanics are not yet standardized.
Experience with competitive AI pricing analysis and willingness-to-pay research.
* Python proficiency for data analysis.
LOCATION
Menlo Park, CA. Snowflake HQ office. This role requires in-person attendance at least 3 days per week. Location is strict.
COMPENSATION
The estimated base salary range for this role is $250,000 to $320,000, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate's starting compensation will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
EQUAL OPPORTUNITY STATEMENT
Snowflake is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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 $204,000 - $267,700.
- 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.
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.
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.
ABOUT 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.
ABOUT THE TEAM
Strategic Finance is the commercial and analytical engine behind Snowflake's product and revenue decisions. The team operates at the intersection of product strategy, pricing, and investment prioritization. Product Finance, the function this role sits within, partners with each product organization on planning, performance, and pricing. We work closely with Product and Engineering leadership, and we partner across Sales, Business Development, and the Executive Leadership Team. Every consequential AI and Analytics investment, monetization, and pricing decision at Snowflake runs through analysis this team produces.
ABOUT THE ROLE
We are hiring a senior strategic finance thought partner to help shape Snowflake's AI and Analytics workloads, the company's fastest-growing and most strategically complex product surface. You will partner closely with Product, Engineering, Marketing, and Sales leadership to set strategy, evaluate growth bets, lead pricing and packaging decisions, and build the financial rigor that lets these workloads scale.
You will translate product usage, customer behavior, unit economics, and market signals into decisions on what we build, how we launch, how we monetize, and where we invest. You will help define the growth model for a frontier AI product portfolio while working at the intersection of strategy, finance, and technology. This is a people manager role.
IN THIS ROLE YOU WILL
Strategic Finance Thought Partnership. Serve as the strategic finance partner to Cortex, Notebooks, Machine Learning, and Analytics product and engineering leaders. Help shape product strategy, growth priorities, pricing decisions, and investment tradeoffs.
Forecast and Performance Ownership. Own the forecast for AI and Analytics workloads, including revenue, usage, margin, unit economics, leading indicators, and the operating metrics that show where each workload is gaining or losing traction.
Pricing and Monetization Leadership. Lead pricing and monetization strategy for AI workloads. Set pricing principles, packaging, metering, and commercial terms across inference, training, embedded models, and AI-native applications. Bring willingness-to-pay research, competitive benchmarks, and unit economics into pricing decisions. Land emerging AI commercial structures as they graduate from incubation to scaled go-to-market.
Translate Data Into Decisions. Translate product usage, customer behavior, cohort and funnel dynamics, and financial data into clear recommendations that influence long-term strategy and day-to-day product calls.
Investment Business Cases. Build decision-ready business cases for major AI and Analytics product and go-to-market investments. Return on investment, investment sizing, risk framing, comparative tradeoffs.
Build Planning and Performance Systems. Build the forecast methodology, key performance indicator architecture, decision frameworks, executive narratives, and repeatable reporting that help the team move faster as the workloads scale.
People Leadership. Manage and develop a small team of analysts. Set the bar for analytical rigor, executive communication, and product judgment. Cultivate a team that operates as a credible thought partner to Product and Engineering.
Market Intelligence. Stay current on AI, software-as-a-service, product-led growth, consumption-based pricing, and competitive dynamics. Inform where Snowflake should invest in AI workloads and how the business model should evolve as AI changes the playbooks.
Executive Narratives.* Prepare and deliver high-quality executive and Board materials that connect business performance, product strategy, key risks, and strategic recommendations.
WHAT YOU WILL NEED
REQUIRED
8+ years of experience in investment banking, management consulting, strategic finance, product finance, growth finance, or buy-side investing, coupled with operating experience at a fast-paced, scaling technology company.
Experience supporting product teams on growth, pricing, packaging, monetization, or product strategy decisions, ideally in product-led growth, growth-stage software-as-a-service, consumption-based, or usage-based business models.
Exceptional analytical and financial modeling skills, including building product profit and loss views, operating models, cohort and funnel analyses, pricing models, and unit economics that connect strategy to growth decisions.
Strong business judgment and product instincts. Ability to evaluate opportunities, tradeoffs, and risks in a fast-moving product environment.
Working understanding of AI and machine learning infrastructure and economics: model lifecycle, inference vs. training cost structures, AI commercial models. Curiosity about how AI products change the pricing and packaging playbooks.
The ability to translate complex product, usage, customer, and financial data into clear recommendations for Product teams and senior leadership.
High attention to detail and a commitment to accuracy, paired with comfort making decisions when data is imperfect and the business is evolving.
People management experience. Demonstrated track record of hiring, developing, and retaining strong analytical talent.
SQL fluency. Comfort working directly with product analytics datasets in a cloud data platform.
Effective communication. Capable of producing executive-quality narratives that survive Executive Leadership Team and Board review on first submission.
* Bachelor's degree in Finance, Economics, Computer Science, Engineering, or related discipline. MBA preferred.
PREFERRED
Hands-on experience with AI and machine learning product economics at a high-growth company (foundation model provider, AI infrastructure, AI applications, or a major cloud's AI portfolio).
Familiarity with consumption-based and usage-based pricing in cloud, data, or AI platforms.
Experience building business cases and growth models for new product categories where commercial mechanics are not yet standardized.
Experience with competitive AI pricing analysis and willingness-to-pay research.
* Python proficiency for data analysis.
LOCATION
Menlo Park, CA. Snowflake HQ office. This role requires in-person attendance at least 3 days per week. Location is strict.
COMPENSATION
The estimated base salary range for this role is $250,000 to $320,000, this role is eligible to participate in Snowflake’s bonus and equity plan. The successful candidate's starting compensation will be determined based on permissible, non-discriminatory factors such as skills, experience, and geographic location.
EQUAL OPPORTUNITY STATEMENT
Snowflake is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to age, color, gender identity or expression, marital status, national origin, disability, protected veteran status, race, religion, pregnancy, sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances.
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 $204,000 - $267,700.
- 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.
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.
See all Product Engineer Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Product Engineer Jobs at Snowflake.
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.