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Software Engineer

Redbird
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Hybrid (New York City, NY)Full-timePosted 11mo ago

About the role

Software Engineer role at Redbird, an AI-powered analytics platform. Hybrid/remote in the US (New York, NY or remote). Full-time role focused on software implementation and design within an agile environment, with opportunity for stock options.

Responsibilities

  • Participate in agile sprint planning sessions and daily standups where the team aligns on implementation priorities / details
  • Write code to implement new applications and functionality within the Redbird platform
  • Iterate with team running software testing / QA to perfect the product
  • Optimize and maintain existing platform code
  • Ideate and design software solutions to solve customer data problems
  • Provide input into creating UI / UX wireframes as well as plans for back-end architecture and overall code structure

Qualifications

  • Fundamental knowledge of Python, JavaScript, and React / HTML / CSS
  • Experience developing a basic web application or software program
  • Strong interest in data analytics and SaaS platforms
  • Appetite for working in a fast-paced, demanding environment with the potential for exponential growth
  • Desire to play a direct role in growing a company and software product
  • Ability to take on significant responsibility starting day one and be exposed to multiple aspects of the development cycle
  • Comfort working with data and talent for solving problems by leveraging technology and data
  • Prior exposure to data science and statistical modeling a plus

Skills

Required:PythonJavaScriptReact

Benefits

  • Stock option plan (in addition to base salary)
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Redbird

AI-powered Analytics Platform

Redbird is an AI-powered analytics platform for the enterprise - empowering anyone within an organization to easily automate and unify their analytics work in minutes, without writing code. Redbird connects to all of an organization’s data sources and accelerates analytics work across data prep, wrangling, analysis, reporting and data science.

analytics
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