Full-Time

Software Engineer

Full Stack

Posted on 7/19/2023

Kumo

Kumo

51-200 employees

Generates and deploys predictive models using AI

Enterprise Software
AI & Machine Learning

Junior, Mid

Mountain View, CA, USA

The job posting does not specify a particular location or travel requirements.

Category
Software Engineering
Required Skills
React.js
Requirements
  • BS in Computer Science or related technical field involving coding
  • Experience designing backend APIs, database schemas, and backend microservices
  • Experience with modern frameworks (React) and debugging tools
  • Knowledge of full-stack architecture, including performance, accessibility, security, and usability
  • 3+ years of industry experience
Responsibilities
  • Defining customer user journeys and driving the product roadmap
  • Collaborating with cross-functional teams
  • Designing clean and elegant frameworks
  • Writing high-quality code and tests
  • Performing code reviews
Desired Qualifications
  • Past experience with launching SaaS products or working in Enterprise companies
  • Working knowledge of OAuth, identity, and access management
  • Basic understanding of machine learning and AI
  • Strong analytical and problem-solving skills
  • Excellent communication and collaboration abilities

Kumo.ai creates predictive models for organizations needing accurate forecasts in areas like customer retention and fraud detection. Their platform utilizes Graph Neural Networks to analyze raw relational data, which enhances accuracy and reduces the need for manual data preparation. Kumo.ai differentiates itself by offering a comprehensive solution that covers the entire Machine Learning lifecycle and is accessible through both SaaS and Private Cloud models. The goal is to provide a quick return on investment for clients, ranging from small businesses to large enterprises.

Company Stage

Series B

Total Funding

$35.5M

Headquarters

Mountain View, California

Founded

2021

Growth & Insights
Headcount

6 month growth

20%

1 year growth

34%

2 year growth

79%
Simplify Jobs

Simplify's Take

What believers are saying

  • Integration with Snowflake enhances model performance and scalability for Kumo.AI.
  • $18 million Series B funding supports platform expansion and service enhancement.
  • Partnership with Snowflake Marketplace increases potential customer base for Kumo.AI.

What critics are saying

  • Competition from tech giants investing in multimodal AI could overshadow Kumo's offerings.
  • Databricks Marketplace expansion may attract potential Kumo customers with alternative solutions.
  • Increased scrutiny on AI development could lead to regulatory pressures on Kumo.

What makes Kumo unique

  • Kumo.AI uses Graph Neural Networks for higher accuracy without manual feature engineering.
  • The platform offers a SQL-like Predictive Querying Language for easy model creation.
  • Kumo.AI provides both SaaS and Private Cloud models, ensuring flexibility for clients.

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