Responsibilities
- Position Snowflake’s AI and ML features and value for technical customer stakeholders across APJ.
- Partner with account teams and customer champions to scope and drive proofs of concept to successful technical wins.
- Deliver executive readouts and business value cases demonstrating Snowflake capabilities.
- Collaborate with product and engineering teams to influence AI and ML roadmaps based on customer feedback.
- Publish blog posts, conference presentations, notebooks, demos, and other technical collateral.
- Influence, tailor, and maintain AI/ML sales engineering assets, including customer presentations, demonstrations, and customer stories.
- Help account teams across APJ enable customer adoption of AI/ML use cases on Snowflake.
Requirements
- 10+ years of experience building and deploying machine learning solutions and 3+ years building and deploying generative AI solutions in the cloud.
- Practitioner-level hands-on experience with MLOps, feature stores, model deployment, model explainability, and observability.
- Knowledge of generative AI techniques including RAG, few-shot learning, prompt engineering, and fine-tuning.
- Deep Python knowledge and experience with common machine learning packages and data engineering tools such as LangChain, pandas, scikit-learn, PyTorch, dbt, Airflow, and Spark.
- Strong presentation skills for technical and executive audiences, including whiteboarding sessions, formal readouts, and demonstrations.
- Bachelor’s degree required; a master’s degree in computer science, engineering, mathematics, or a related field, or equivalent experience, is preferred.
- Working knowledge of LLM ecosystem tools such as LangChain, LlamaIndex, or other open-source packages is a bonus.
- Experience with large-scale infrastructure-as-a-service platforms such as AWS, Microsoft Azure, or GCP is a bonus.
- At least 1 year of practical Snowflake experience is a bonus.
- Knowledge of large-scale database technologies such as Snowflake, Netezza, Exadata, Teradata, or Greenplum is a bonus.
- Previous quota-carrying experience is a bonus.
Tech Stack
Categories
About Snowflake
**Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.** Snowflake delivers the AI Data Cloud — a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the AI Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake’s platform is the engine that powers and provides access to the AI Data Cloud, creating a solution for data warehousing, data lakes, data engineering, data science, data application development, and data sharing. Join Snowflake customers, partners, and data providers already taking their businesses to new frontiers in the AI Data Cloud.