Full-Time

Staff Software Engineer

Front End

Posted on 11/15/2024

Gretel

Gretel

51-200 employees

Synthetic data platform for AI development

Enterprise Software
Cybersecurity
AI & Machine Learning

Compensation Overview

$190k - $250kAnnually

+ Bonus + Stock Options

Senior

San Francisco, CA, USA

Category
Frontend Engineering
Software Engineering
Required Skills
Heroku
React.js
TypeScript
Vercel
Webpack
HTML/CSS
Requirements
  • At least 8 years of professional experience in software development
  • Mastery of the fundamentals of web development with HTML, CSS, TypeScript, and React
  • Experience in the delivery of front-end systems for SaaS products
  • A strong understanding of building accessible applications using modern tools
  • Ability to deliver rapid prototypes using HTML/CSS/TypeScript to quickly test features and validate ideas, while keeping our campsite clean
  • Strong verbal and written communication skills
  • A passion for web accessibility and inclusivity
  • Experience building applications using React
  • Experience building and deploying applications in public cloud providers or with platforms such as Heroku, Vercel, etc.
  • Experience configuring & maintaining modern front-end build technologies like Webpack, esbuild, etc.
  • Experience working with, maintaining, and contributing to modular design systems
  • Experience working remotely in a distributed company
Responsibilities
  • Be a core contributor of front-end code, tests, and application/data/systems architecture on a small team of engineers working across the stack
  • Own both customer and developer happiness for your products in production, working with your own and other teams to build operational transparency and resiliency into every layer of deployed applications
  • Coordinate with engineering and product leads to define, prioritize, and task projects that help us meet business objectives
  • Collaborate within your team encouraging the growth of others through regular code reviews and feedback

Gretel provides a synthetic data platform that allows developers to create artificial datasets that resemble real data. This helps developers build and test AI models without risking data privacy. The platform is user-friendly, enabling quick access to synthetic data generation in under five minutes. Gretel's business model is based on application programming interfaces (APIs) that facilitate the generation of anonymized data, allowing businesses to innovate while maintaining privacy. The platform also offers features for validating AI models with quality and privacy scores. Gretel serves a diverse clientele, including developers and enterprises, and is available on the Google Cloud Marketplace. The company generates revenue by offering its platform as a service, where clients pay based on the amount of synthetic data they generate. Overall, Gretel aims to empower developers and enterprises to safely create and utilize data for AI applications.

Company Stage

Series B

Total Funding

$63.7M

Headquarters

Palo Alto, California

Founded

2020

Growth & Insights
Headcount

6 month growth

29%

1 year growth

38%

2 year growth

88%
Simplify Jobs

Simplify's Take

What believers are saying

  • Growing demand for privacy-preserving AI boosts Gretel's market potential.
  • Strategic partnerships with AWS enhance Gretel's scalability and accessibility.
  • Gretel's robust validation features align with industry focus on AI model quality.

What critics are saying

  • Competition from platforms like Hazy and Mostly AI is intensifying.
  • Stricter data protection laws may challenge Gretel's privacy standards.
  • Dependence on AWS could pose risks if service terms change.

What makes Gretel unique

  • Gretel offers a user-friendly platform for quick synthetic data generation.
  • The platform integrates with popular ML tools like Amazon SageMaker.
  • Gretel provides multilingual datasets, enhancing its appeal to global developers.

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Benefits

Healthcare

Phone & internet

WFH

Flexible PTO

Home office stipend

401k

INACTIVE