Product Owner Jobs at Snowflake with Visa Sponsorship
Product Owner jobs at Snowflake involve driving data cloud product strategy, working across engineering, design, and go-to-market teams. The company has a consistent track record of sponsoring work visas for this function, supporting candidates through H-1B visa, OPT, and other pathways from offer through long-term status.
Find Product Owner Jobs at SnowflakeOverview
Showing 5 of 18+ Product Owner Jobs at Snowflake
See all Product Owner Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Product Owner Jobs at Snowflake.
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 Owner Jobs at Snowflake
Sign up for free to unlock all listings, filter by visa type, and get alerts for new Product Owner Jobs at Snowflake.
Get Access To All JobsTips for Finding Product Owner Jobs at Snowflake
Frame your PM credentials around data platforms
Snowflake evaluates Product Owners on experience owning roadmaps for data infrastructure, analytics, or cloud-native products. Tailor your resume to show ownership of technical products in these categories, not just general software delivery.
Clarify your visa category before applying
Snowflake sponsors multiple visa types, but the filing process differs significantly between H-1B cap-subject and OPT extensions. Know your current status and authorized work period before your first recruiter screen so you can answer confidently.
Target roles on Snowflake's cloud product teams
Product Owner openings tied to Snowflake's core Data Cloud and Cortex AI lines move faster and carry stronger sponsorship precedent than newer business units. Prioritizing these teams increases your odds of landing in a group with established visa filing workflows.
Negotiate your start date around H-1B timelines
If your offer requires an H-1B cap filing, USCIS opens registration in March with an October 1 start date. Confirm with your recruiter early whether the role can accommodate that gap, since many Snowflake Product Owner positions allow it.
Use Migrate Mate to filter open Product Owner roles by sponsorship type
Searching broadly across job boards wastes time on roles where sponsorship is uncertain. Use Migrate Mate to browse Snowflake's open Product Owner positions filtered specifically by the visa types they actively sponsor.
Get your specialty occupation documentation ready before the offer stage
USCIS scrutinizes Product Owner roles under the H-1B specialty occupation standard. Assemble your degree transcripts, official translations if applicable, and a clear written link between your degree field and the specific product management responsibilities in the job description.
Frequently Asked Questions
Does Snowflake sponsor H-1B visas for Product Owners?
Yes, Snowflake sponsors H-1B visas for Product Owner roles. The company files both initial cap-subject petitions and extensions for existing H-1B holders. Because Product Owner is evaluated as a specialty occupation by USCIS, you'll need a bachelor's degree or higher in a directly related field, and your offer letter's job duties should reflect that specialization clearly.
Which visa types does Snowflake commonly sponsor for Product Owner roles?
Snowflake sponsors H-1B, F-1 OPT, F-1 CPT, TN visa, J-1 visa, and employment-based Green Card pathways including EB-2 and EB-3 for Product Owner positions. F-1 OPT is common for recent graduates entering the role, while H-1B is the standard long-term option. Canadian and Mexican nationals in qualifying occupations may also use the TN visa category, which has no lottery and no annual cap.
How do I apply for Product Owner jobs at Snowflake?
Applications go through Snowflake's careers portal, where you can filter by role and location. Before applying, align your resume to show ownership of cloud or data product roadmaps, since Snowflake's hiring bar for Product Owners emphasizes technical domain depth. You can also browse open Product Owner positions at Snowflake filtered by visa sponsorship type on Migrate Mate to identify the right openings before submitting.
What qualifications does Snowflake expect for sponsored Product Owner roles?
Snowflake typically looks for Product Owners with a bachelor's degree in computer science, engineering, or a related technical field, combined with hands-on experience managing roadmaps for data infrastructure, analytics, or cloud SaaS products. Strong cross-functional collaboration skills and familiarity with SQL or data workflows are commonly cited. For H-1B sponsorship purposes, your degree must align with the specific technical responsibilities of the role.
How do I time my application if I'm on F-1 OPT targeting Snowflake?
If your OPT expiration falls before October 1 and you need an H-1B, Snowflake would need to file your cap-subject petition in March of the same year for a lottery selection. A STEM OPT extension, available to graduates in qualifying fields, gives you up to 24 additional months and more flexibility. Apply to open Product Owner roles at least six months before your OPT end date to leave room for the offer, filing, and any USCIS processing delays.