Product Manager Jobs at Snowflake with Visa Sponsorship
Product Manager jobs at Snowflake span data platform, AI, and cloud infrastructure products, with the company maintaining a consistent track record of sponsoring work visas for this function. If you're on an H-1B visa, OPT, or TN visa, Snowflake is an active sponsoring employer worth targeting.
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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.
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.
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Get Access To All JobsTips for Finding Product Manager Jobs at Snowflake
Frame your PM experience around data products
Snowflake's PM roles are concentrated in data cloud, AI, and developer tooling. Positioning your background around data infrastructure, platform products, or API-driven tooling makes your application far more relevant than general product experience.
Confirm OPT STEM extension eligibility before applying
Snowflake is an E-Verify participant, which is required for STEM OPT extensions. If you're on F-1 OPT, verify your degree field qualifies for a 24-month STEM extension before your initial 12 months expire, since PM roles in tech typically qualify under CIP codes for computer science or information systems.
Target roles on Migrate Mate to filter for sponsorship-confirmed openings
Search Snowflake's Product Manager openings on Migrate Mate to surface roles where visa sponsorship has been confirmed, so you're not spending time on positions that quietly exclude international candidates in later interview stages.
Anticipate the LCA wage level during offer negotiation
Before accepting an offer, understand that your H-1B petition requires a Labor Condition Application filed with DOL, certifying your salary meets the prevailing wage for your location and job level. For senior PM roles in San Francisco or Seattle, Level III and IV prevailing wages are substantially higher than junior benchmarks.
Request H-1B cap-exempt status verification if applicable
If you've already been counted against the H-1B cap at a previous employer, Snowflake can file a transfer petition at any point in the year without lottery risk. Confirm your prior approval notice shows a valid cap-subject selection so there's no ambiguity during filing.
Prepare a degree-to-role equivalency narrative for specialty occupation
USCIS requires that H-1B Product Manager petitions demonstrate the role is a specialty occupation requiring a specific bachelor's degree or higher. Prepare documentation connecting your degree field directly to PM responsibilities at Snowflake, especially if your title spans engineering, design, or business functions.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for Product Managers?
Yes, Snowflake sponsors H-1B visas for Product Manager roles. The company files both new cap-subject H-1B petitions through the annual lottery and cap-exempt transfer petitions for candidates already holding H-1B status. Sponsorship applies across PM levels, though availability can depend on the specific team and headcount approval for the role you're targeting.
How do I apply for Product Manager jobs at Snowflake?
Applications go through Snowflake's careers portal, where PM roles are listed by product area and level. To find openings filtered for visa sponsorship, browse Migrate Mate's Snowflake listings directly. Tailoring your application to Snowflake's data cloud context, specifically referencing experience with platform products, data infrastructure, or developer-facing tools, meaningfully improves your chances of progressing past initial screening.
Which visa types does Snowflake commonly sponsor for Product Manager roles?
Snowflake sponsors H-1B visas as the primary long-term work authorization path for Product Managers. The company also supports F-1 OPT and CPT for early-career candidates, TN visas for Canadian and Mexican nationals in qualifying PM roles, J-1 visa for eligible exchange visitors, and Green Card sponsorship through EB-2 or EB-3 classifications for employees on an immigrant visa track.
What qualifications does Snowflake expect for Product Manager roles?
Snowflake's PM roles typically require a bachelor's degree in computer science, engineering, or a closely related technical field, combined with demonstrated experience owning a product roadmap. For H-1B purposes, the degree field needs to align with the specific PM function. Roles in data platform or AI products often expect hands-on familiarity with SQL, cloud architecture, or developer workflows, not just product methodology.
How do I think about the H-1B timeline if I'm currently on OPT targeting Snowflake?
If you're on F-1 OPT, the H-1B lottery opens in March for an October 1 start date. If Snowflake selects and files for you, your OPT must remain valid through October 1 or you'll need a cap-gap extension, which bridges the gap automatically if you're in a valid OPT period when your petition is filed. STEM OPT extensions give you additional runway if the first lottery attempt is unsuccessful.