3 months ago
Singapore, SingaporeSenior
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
Solutions Engineering
About Snowflake
Snowflake builds a cloud-native data platform used by enterprises to store, integrate, share, and analyze data across AWS, Azure, and Google Cloud. Its core products span data warehousing, data lakes, data engineering, and governed data sharing, sold via consumption-based subscriptions. Founded in 2012 and publicly traded on the NYSE (SNOW) following a 2020 IPO, Snowflake supports analytics and data application workloads across industries.