Build the future of data. Join the Snowflake team.

　　Snowflake's Data Cloud team is actively seeking a Senior Manager, Data Engineering and Data Lake Sales Strategy to join our growing team.

　　In this role you will act as a player-coach you will act as a thought leaders to drive strategic customer outcomes and value realization within Data Engineering and Data Lake workload areas across all global theaters.

　　IN THIS ROLE YOU WILL GET TO:Apply your deep understanding of Snowflake's platform capabilities in the Data Engineering and Data Lake workload areas, and ability to translate new platform capabilities into sales strategies and value propositionsManage a team of industry experts, hiring, onboarding and supporting their successWork with account teams to develop customer-specific strategies for achieving technical wins and successful migrations of strategic Data Engineering and Data Lake workloads inCollaborate with Account Executives to build specific messaging and content to engage customers based on account-specific strategies for Data Engineering and Data Lake use casesLead early engagement with key customer personas around Snowflake's Data Engineering and Data Lake capabilities and the value hypothesis for migrating use cases pertaining to these workloads to the Snowflake platformPartner with our Field CTO organization to plan and execute validation exercises (ie. Pilots/POCs) to achieve technical wins for migrating Data Engineering and Data Lake use cases to the Snowflake platformWork with cross-functional teams including sales engineering, professional services and industry specialists to lead and support internal account team enablement efforts around effective Data Engineering and Data Lake sales strategies and tactics.ON DAY ONE WE WILL EXPECT YOU TO HAVE:10-15 years of sales or sales engineering experience with an expertise in the data engineering and data lake space4+ years of experience in a customer facing role within the Snowflake ecosystem, Snowflake experience being highly preferredDeep understanding of the modern data stack ecosystem and ability to differentiate Snowflake compared with the competitive landscapeSelf-starter who can independently manage time and develop internal/external relationshipsProactive, independent thinker with high energy/positive attitudeExcellent verbal and written communication, presentation, and relationship management skillsSnowflake 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?

　　The following represents the expected range of compensation for this role: The estimated base salary range for this role is $191,000 - $273,000.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 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.

　　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?

　　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.