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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.
Snowflake is building the platform that teams rely on to make data useful, reliable, and ready for the age of AI. As customers shift from batch analytics to real-time systems and intelligent applications, streaming is becoming core to how data is produced, consumed, and acted upon.
We are seeking a Senior Product Manager to lead Snowflake’s Streaming Platform. This role is at the center of the real-time data shift, defining how data in motion becomes data that teams can trust, analyze, and use to power AI-driven workflows. Streaming is the backbone for modern applications, operational analytics, and Agent to Agent pipelines.
If you are passionate about distributed systems, care about craft, and want to work on problems that matter at massive scale, this is a rare opportunity to build something foundational.
Snowflake is where the world’s hardest data problems are tackled. You will work on systems that run at scale for thousands of customers, with a real impact on how modern companies operate and build AI-powered applications.
You will join a team that values clarity over complexity, speed with responsibility, and technical excellence. Most importantly, you will have the space and influence to build a platform that customers genuinely depend on. If you enjoy working on hard problems and want to shape how data moves and powers intelligence, we’d love to talk.
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
Health Insurance
Dental Insurance
Vision Insurance
Pet Insurance
Life Insurance
Disability Insurance
Health Savings Account (HSA)
Flexible Spending Account (FSA)
Mental Health Benefits
Employee Assistance Program
Fitness Stipend
Wellness Programs
401(k) / Retirement Plan
Employee Stock Purchase Plan
Equity / RSUs
Performance Bonus
Parental Leave
Adoption Leave
Fertility Benefits
Unlimited PTO
Learning & Development Budget
It is structured hybrid. Most roles are tied to a specific office and expect roughly three days a week on-site, and around three-quarters of open jobs are office-anchored. A minority of roles are explicitly tagged remote, but there is no company-wide remote policy, so eligibility is decided role by role.
Roles are location-specific and spread across more than 25 countries, including the US, UK, Australia, India, Germany, Poland, Canada, Japan, France, and Singapore. The heaviest concentration of jobs sits in US hubs such as Menlo Park and Bellevue, plus London. Positions are city- or country-locked rather than work-from-anywhere.
Snowflake offers a 401(k) and a Roth 401(k) option, but it does not provide an employer match. This is worth factoring into total compensation, since the package leans heavily on equity and bonus rather than retirement matching.
Compensation is geography-based and certified by Fair Pay Workplace, an external pay-equity auditor. Cash is paired with substantial equity through new-hire grants, an Employee Stock Purchase Plan, and a quarterly bonus or commission program, with RSUs vesting over four years.
Highlights include unlimited PTO, generous parental leave (26 weeks maternity, 12 weeks paternity) with adoption and fertility support, an HSA with employer contribution, on-demand mental health and wellness programs, and ergonomic work-from-home equipment provided globally.
It suits data and AI engineers, data scientists, and product people who want to work across the full data lifecycle at large scale and value equity-heavy pay. Sales roles are numerous and well-compensated, though reviewers there report more pressure and crunch than in engineering.
Pay Transparency
Commuter Benefits
Sick Days
Military Leave
Paid Holidays
Bereavement Leave
Company Equipment
Free Snacks & Drinks
Employee Product Discount
Employee Resource Groups