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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.
At the center of the data cloud is the Snowflake Database Engineering team. We are responsible for building the core query engine used to process the massive amounts of diverse data managed by our customers. A core part of the Database Engineering group is the Query Language team which is responsible for designing, developing, and maintaining core SQL features, including advanced analytics, scripting, and the developer experience.
We are seeking a Senior Engineering Manager to own and drive the effort to build core database capabilities to serve agentic workloads. You'll set the technical direction, build and grow the team behind it, and shape how the core engine and the SQL language evolve to serve this new class of workload. It's a rare chance to lead a foundational bet at the exact moment the industry is racing to solve it, with the scale, customer base, and platform to make your work matter to millions of queries a day. If you want your fingerprints on how the world's data platforms adapt to the age of AI agents, this is one of the best seats in the industry.
This is an excellent opportunity to:
Learn at scale as you and your team deliver essential components of a highly distributed, robust, and secure enterprise SaaS platform that services thousands of customers and more than a billion complex queries every day
Every Snowflake employee is expected to follow the company’s confidentiality and security standards for handling sensitive data. Snowflake employees must abide by the company’s data security plan as an essential part of their duties. It is every employee's duty to keep customer information secure and confidential.
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
USD 264,000 - 379,500
Annually
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