Sr. Manager, Technical Delivery (AI)

Location: Chicago, Illinois, United States; requires travel to work with customers on-site up to 25% of the time.

Salary: $177K–$232K annually.

Company

Snowflake provides a data platform for data warehousing, analytics, Artificial Intelligence, and Generative AI solutions.

What you will do

• Lead, develop, mentor, and guide Solutions Architects and Consultants delivering Snowflake implementations, optimizations, development, and engagements.
• Lead complex migrations from legacy systems to the Snowflake platform, including requirements discovery, migration strategy, implementation, and transition oversight.
• Oversee the design, implementation, and deployment of complex AI and Generative AI solutions on Snowflake.
• Provide technical and delivery quality oversight, resolve customer-specific technical challenges, and ensure adherence to best practices.
• Support sales pursuits by scoping projects, conducting code assessments, pricing services, writing statements of work, and advising on productionalizing AI and GenAI use cases.
• Collaborate with customers, system integrators, Product Management, Engineering, Marketing, Practice Directors, and Sales Account teams; develop delivery methodologies and present capabilities to internal and external audiences.

Requirements

• At least 10 years of experience working with customers in a pre-sales or post-sales technical role.
• At least 5 years of people management experience, including mentoring, coaching, and developing teams.
• At least 5 years of experience selling professional services, scoping large projects, and writing statements of work.
• Proven experience guiding enterprise customers on data strategies for building, deploying, and operationalizing Generative AI engagements.
• Extensive knowledge of large-scale database technology, such as Oracle, Teradata, Netezza, or Greenplum, and experience with non-relational platforms and tools such as Hadoop or HBase.
• Experience with data integration and transformation tools such as Informatica, DataStage, Talend, or Matillion, and BI and data exploration tools such as MicroStrategy, Business Objects, or Tableau.
• University degree in computer science, engineering, mathematics, or a related field, or equivalent experience.
• Outstanding presentation skills for technical and executive audiences, including whiteboarding, presentations, and demos; understanding of the complete data analytics stack from ETL through data platform design, BI, and analytics.
• Strong skills in databases, data warehouses, data processing, SQL, and SQL analytics; scripting experience with Python, Ruby, Perl, or Bash.
• Successful experience selling data and/or analytics software to enterprise customers, including identifying stakeholders, developing value propositions, and creating compelling events.
• Ability to mentor and guide technical professionals deploying rapidly evolving features without fully understanding all technical details.
• Ability and flexibility to travel to customer sites up to 25% of the time.

Culture & Benefits

• Fast-growing environment focused on innovation, challenging ordinary thinking, and accelerating business impact.
• AI-native, experimental approach to using emerging capabilities and solving problems.
• Employees must follow confidentiality and security standards and protect customer information.