Full-Time

Pre-Sales Architect

AI/ML

Posted on 7/11/2024

Snowflake

Snowflake

5,001-10,000 employees

Data management and analytics platform

Data & Analytics
Enterprise Software
AI & Machine Learning

Expert

Remote in USA

Category
Applied Machine Learning
Natural Language Processing (NLP)
AI & Machine Learning
Required Skills
Microsoft Azure
Python
Jupyter
Data Science
Tensorflow
Pytorch
SQL
Java
AWS
Pandas
Scala
Google Cloud Platform
Requirements
  • Minimum 10 years experience working with customers in a pre-sales or post-sales technical role.
  • Outstanding skills presenting to both technical and executive audiences, whether impromptu on a whiteboard or using presentations and demos.
  • Thorough understanding of the complete Data Science life-cycle including feature engineering, model development, model deployment and model management.
  • Strong understanding of MLOps, coupled with technologies and methodologies for deploying and monitoring models.
  • Experience and understanding of at least one public cloud platform (AWS, Azure or GCP)
  • Experience with at least one Data Science tool such as AWS Sagemaker, AzureML, Dataiku, Datarobot, H2O, and Jupyter Notebooks.
  • Hands-on scripting experience with SQL and at least one of the following; Python, Java or Scala.
  • Experience with libraries such as Pandas, PyTorch, TensorFlow, SciKit-Learn or similar.
  • University degree in data science, computer science, engineering, mathematics or related fields, or equivalent experience.
Responsibilities
  • Be a technical expert on all aspects of Snowflake in relation to the AI/ML workload.
  • Work with Professional Services Practice Directors and Managers on sales pursuits to: Understand customer requirements, Present high level architecture solutions using Snowflake, Scope and present project plans and effort estimates to deliver AI/ML solutions.
  • Consult with customers in sales workshops where needed using SQL, Python, Java and/or Scala to understand their Data Science workload / use case.
  • Understand best practices related to Snowflake data science capabilities.
  • Maintain deep understanding of competitive and complementary technologies and vendors within the AI/ML space, and how to position Snowflake in relation to them.
  • Understand our partner system relationships in order to properly position them in the scoping and delivery of AI/ML use cases.
  • Provide guidance on how to resolve customer-specific technical challenges.
  • Assist in writing Statements of Work.
  • Identify selling patterns within the AI/ML space, creating go to market options for our PS Sellers to leverage.
  • Enable PS Sellers with technical knowledge to scale our ability to sell AI/ML solutions.
  • Collaborate with Product Management, Engineering, and Marketing to continuously improve Snowflake’s products and marketing.

Snowflake provides a platform called the AI Data Cloud that helps organizations manage and analyze their data. This platform allows users to store and process large amounts of data efficiently, offering services like data warehousing, data lakes, data engineering, data science, and data sharing. Snowflake's system works by uniting data from different sources, enabling secure sharing and performing various types of analytics. What sets Snowflake apart from its competitors is its ability to operate seamlessly across multiple public clouds, allowing users to access their data from anywhere. The company's goal is to help businesses leverage their data for better decision-making by providing a flexible subscription-based service that scales according to their needs.

Company Stage

IPO

Total Funding

$1.3B

Headquarters

Bellevue, Washington

Founded

2012

Growth & Insights
Headcount

6 month growth

1%

1 year growth

0%

2 year growth

2%
Simplify Jobs

Simplify's Take

What believers are saying

  • Acquisition of Datavolo enhances Snowflake's open data integration capabilities.
  • Investment in Metaplane boosts AI-driven data quality solutions for Snowflake users.
  • Snowflake Ventures' investment in Hex expands accessibility of data tools to non-technical users.

What critics are saying

  • Integration challenges from Datavolo acquisition may disrupt operations and customer service.
  • Increased competition from Mistral AI could challenge Snowflake's market position.
  • Convertible senior notes pricing may increase financial pressure if market conditions worsen.

What makes Snowflake unique

  • Snowflake offers a unified platform for diverse data workloads, unlike traditional solutions.
  • The AI Data Cloud enables near-unlimited scale and performance for data mobilization.
  • Snowflake's seamless multi-cloud experience ensures efficient data operations across locations.

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Benefits

We've got your back - We offer comprehensive health insurance plans, health savings accounts, robust retirement plans, and generous life and disability insurance.

A Balanced Lifestyle - All Snowflakes have access to our weekly online lunch and learns, virtual workout classes, and ergonomic work-from-home equipment. We offer on-demand mental health and wellness programs to support our employees and their families.

Your People Matter - Help offset the cost of growing your family with our fertility benefits and family planning resources. Count on our generous time-off and various leave plans for you to rest, refuel, and sustain a great work-life balance.

Global Snowflake Team - No matter where you are in the world, we will get you connected and supported with a work-from-home setup.

Treat Yourself - Personalize your Snowflake benefits by tapping into our employee discounts and pre-tax selections.

Invest In Your Future - Eligible employees enjoy new hire equity, Employee Stock Purchase Plan (ESPP), and a quarterly bonus or commission program.

INACTIVE