Snowflake AI SPECIALIST 

United States, California 

666952277

• Work with our sales teams to support our customers in initial adoption of our AI and ML features in a hands-on capacity.
• Be the technical expert in the room to present and position Snowflake’s AI and ML features and value to technical stakeholders at Snowflake’s customers.
• Publish thought leadership content(blog posts, presentations at conferences and events) to advance Snowflake’s strategic initiatives around AI
• Help enable and uplevel other sales engineers and solution architects in AI and ML
• Collaborate closely with product to influence Snowflake’s roadmaps based on customer feedback.
• Collaborate with the Global FCTO, sales and marketing teams on field effectiveness / competitiveness of sales campaigns and messaging.
• Influence, tailor and maintain Sales Engineering AI / ML selling assets, including customer presentations, demonstrations and customer stories.

• Minimum 5 years of experience working with customers in a pre-sales or post-sales technical role involving AI/ML
• Familiarity with cloud native ML and AI tools such as Sagemaker, AzureML, VertexAI.
• Familiarity and associated knowledge of techniques(few shot prompt engineering, RAG, search and retrieval techniques etc) working with OSS or closed source LLM’s to build GenAI based solutions or interactive chat applications.
• Familiarity with Python and popular third party packages(Pandas, Numpy, Tensorflow, sklearn, Pytorch, etc)
• Strong knowledge of data engineering tools and technologies(dbt, Airflow, Spark)
• Strong knowledge and experience working with SQL.
• Working knowledge of data engineering strategies(e.g. Data lake, warehouse, lakehouse, streaming) and associated tooling.
• Working knowledge of deep learning concepts, techniques, and tools(Pytorch, Tensorflow, etc).
• Strong presentation skills to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos
• Bachelor’s Degree required, Masters Degree in computer science, engineering, mathematics or related fields, or equivalent experiencepreferred.

• Working knowledge of tools in the LLM ecosystem such as langchain, llama index, NeMo-Guard.
• Experience and understanding of large-scale infrastructure-as-a-service platforms (e.g. Amazon AWS, Microsoft Azure, GCP, etc.)
• 1+ years of practical Snowflake experience.
• Knowledge of and experience with large-scale database technology (e.g. Snowflake, Netezza, Exadata, Teradata, Greenplum, etc.)

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

• This role is eligible to participate in Snowflake's commission plan and it is common for employees in this role to receive total on-target earnings of $203,800 - $283,500. The estimated base salary for this role is $152,850 - $212,625.
• Additionally, this role is eligible to participate in Snowflake’s equity plan.