Job Description

We're seeking a Data Ops Engineer with strong Snowflake and TypeScript skills to join our dynamic team. In this role, you'll focus on building data transformers within Snowflake for our partners and implementing novel user experiences for human-LLM interaction using TypeScript. This is an excellent opportunity for someone passionate about modern data engineering and AI to make a significant impact in the evolving field of LLM-powered marketing.

• Key Responsibilities
• • Develop and maintain data transformers in Snowflake to integrate partner data into our LLM-first marketing stack
  • Use TypeScript to implement innovative interfaces for human-LLM interaction
  • Optimize Snowflake operations for efficient data processing and analysis
  • Collaborate with UX designers and AI engineers to create seamless data flows between our front-end and Snowflake backend
  • Ensure data quality and consistency across various partner integrations within Snowflake
  • Assist in building and optimizing data pipelines for efficient LLM training and fine-tuning
  • Contribute to the development of data visualization tools for LLM outputs and marketing insights
  • Participate in code reviews and maintain documentation for data ops processes
  • Stay updated on best practices in Snowflake, TypeScript, and LLM technologies
    
    

• Key Goals
• • Create efficient and scalable data transformation solutions in Snowflake for diverse partner datasets
  • Implement user-friendly TypeScript interfaces that facilitate seamless interaction between humans and LLMs in a marketing context
  • Optimize Snowflake data flows to enhance the performance and accuracy of our LLM-powered marketing tools
  • Contribute to the development of data-driven features that showcase the value of our LLM-first approach to partners and clients
    
    

• Qualifications
• • 1-3 years of experience in data engineering or a similar role
  • Strong experience with Snowflake (or equivalent), including data modeling, ETL processes, and performance optimization
  • Proficiency in TypeScript for front-end and back-end development
  • Strong programming skills in Python; experience with data processing libraries (e.g., Pandas, NumPy)
  • Familiarity with modern ETL tools and practices, particularly in cloud-based environments
  • Basic understanding of machine learning concepts, particularly NLP and LLMs
  • Experience with SQL and Snowflake's SQL dialect
  • Knowledge of cloud platforms (AWS, GCP, or Azure) and their integration with Snowflake