Senior AI Product Engineer - Fullstack
Arize AIFull Time
Senior (5 to 8 years)
Key technologies and capabilities for this role
Common questions about this position
The base salary range is $240k - $270k annually, though compensation may vary based on qualifications, skills, competencies, and experience.
This role is eligible for stock options and a comprehensive benefits package, in addition to base pay.
This information is not specified in the job description.
You will build software using programming languages like Rust, Go, GraphQL, Typescript, and Slate.
Required qualifications include 10+ years of industry experience building high-quality software, experience with robust and secure web applications in continuous deployment, strong Computer Science fundamentals, desire to be a great teammate, and a strong sense of craftsmanship.
You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users, collaborating with cross-functional groups like infrastructure, design, product, customer support, sales, and marketing.
A strong candidate has 10+ years of experience building high-quality software, strong CS fundamentals, experience with web applications in continuous deployment, and a desire to be a great teammate with craftsmanship and curiosity; experience with large-scale data apps, data-driven problem-solving, and high-growth companies is preferred.
Cloud-based data analytics platform for businesses
Sigma Computing offers a cloud-based data analytics platform that enables businesses to analyze large volumes of data through a user-friendly, spreadsheet-like interface. Users can connect to their cloud data warehouse and access advanced features such as data collection, territory management, and revenue planning without needing coding skills. The platform is scalable, allowing for the analysis of billions of rows of data, and promotes self-service capabilities for faster insights. Recently, Sigma introduced AI features like data classification and natural language processing to enhance data analysis and support Enterprise AI initiatives.