Sr. Manager, Technical Delivery

Lead, develop, and mentor a team of Solutions Architects and Consultants, who serve as our Snowflake implementation, optimization, development and delivery experts

Play an active role in sourcing and screening potential candidates and managing the interview process

Be a technical expert on all aspects of Snowflake

Provide delivery quality oversight and guidance for Snowflake engagements by ensuring adherence to technical and delivery best practices

Oversee the successful design, implementation, and deployment of complex AI and Generative AI (GenAI) solutions leveraging the Snowflake platform

Work with Professional Services Practice Directors and Sales Account Team on sales pursuits. Lead project scoping, performing code assessments, pricing services, creating statements of work, and providing strategic guidance on productionalizing AI and GenAI use cases

Develop methodologies to improve our services delivery

Provide guidance on how to resolve customer-specific technical challenges

Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing

Present our methodologies, capabilities to both internal teams, external partners and customers

Minimum 10 years of experience working with customers in a pre-sales or post-sales technical role

Minimum 5 years of people management experience; experience mentoring, coaching and developing teams

Minimum 5 years of experience in selling professional services; scoping large projects, writing statements of work

Proven experience guiding enterprise customers on data strategies for building, deploying, and operationalizing GenAI engagements

Extensive knowledge of and experience with large-scale database technology (e.g. Oracle, Teradata, Netezza, Greenplum, etc.)

Experience with non-relational platforms and tools for large-scale data processing (e.g. Hadoop, HBase)

Familiarity and experience with common data integration and data transformation tools (e.g. Informatica, DataStage, Talend, Matillion)

Familiarity and experience with common BI and data exploration tools (e.g. Microstrategy, Business Objects, Tableau)

University degree in computer science, engineering, mathematics or related fields, or equivalent experience

Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos

Understanding of complete data analytics stack and workflow, from ETL to data platform design to BI and analytics tools

Ability to mentor and guide technical professionals deploying rapidly evolving features without full grasp of the technical details.

Strong skills in databases, data warehouses, and data processing

Extensive hands-on expertise with SQL and SQL analytics

Experience and track record of success selling data and/or analytics software to enterprise customers; includes proven skills identifying key stakeholders, winning value propositions, and compelling events

Scripting experience with Python, Ruby, Perl, Bash

Ability and flexibility to travel to work with customers on-site up to 25% of the time

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