Senior Architect, Machine Learning Field CTO

both a business and technical context, interacting with executives and talking shop with technical audiences.
IN THIS ROLE YOU WILL GET TO:

• Apply your data science architecture expertise while presenting Snowflake technology and vision to executives and technical stakeholders at strategic prospects, customers, and partners.
• Work with Snowflake account teams to help customers scope AI and ML projects, execute technical evaluations, and architect production grade solutions.
• Collaborate closely with our Product team to influence Snowflake's AI and ML product roadmaps based on field team and customer feedback.
• Partner with Product Marketing teams to spread awareness and support pipeline building via customer roundtables, conferences, events, blogs, webinars, and whitepapers

ON DAY ONE, WE WILL EXPECT YOU TO HAVE:

• 5+ years of experience building and deploying machine learning solutions in the cloud, including expert level experience with Python and popular third party packages (Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc.)
• 1-2 years of experience working with LLMs on real-world use cases, including exposure to developer tools like langchain.
• Applied knowledge of techniques needed to build performant Generative AI solutions with LLMs and foundation models in enterprise settings, like few shot prompt engineering, RAG, search and retrieval techniques, etc.
• 2+ years of working with cloud native ML and AI tools such as Sagemaker, AzureML, or VertexAI.
• Strong knowledge of SQL
• Strong knowledge of data engineering technologies and tools (dbt, Airflow, etc)
• Outstanding presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
• Bachelor's Degree in computer science, engineering, mathematics or related fields, or equivalent experience

BONUS POINTS FOR EXPERIENCE WITH THE FOLLOWING:

• 2+ years experience building and deploying ML or data engineering applications and solutions on Spark

• Working knowledge of R, Scala, or other scripting languages

• 1+ years of practical Snowflake experience.

• Experience working in a go-to-market team at a SaaS company or technical consulting organization.

• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

• Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experience .

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?

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.

The application window is expected to be open until September 22, 2024 . This opportunity will remain posted based on business needs, which may be before or after the specified date.

The following represents the expected range of compensation for this role:

• The estimated base salary range for this role is $150,000 - $210,000.

• 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 benefits 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?