Full-Time

Frontend Engineer

Confirmed live in the last 24 hours

Arena AI

Arena AI

51-200 employees

Optimizes pricing strategies using AI

Consulting
AI & Machine Learning
Consumer Goods

Compensation Overview

$150k - $225kAnnually

+ Equity + Benefits Packages

Junior, Mid

New York, NY, USA

Requires up to 50% travel domestically and internationally.

Category
Frontend Engineering
Software Engineering
Required Skills
React.js
Figma
TypeScript
Requirements
  • 2+ years of professional experience post-graduation in software engineering or a related field.
  • Demonstrated enthusiasm and knowledge of Artificial Intelligence and Machine Learning concepts.
  • Proven ability to write clean, efficient code.
  • Instinct to break down complex problems into small building blocks.
  • Strong communication skills with empathy for end-users, ensuring usability across UI, API, and SDKs.
  • A high bar for product aesthetics and functionality
Responsibilities
  • Prototype and build UX/UI that communicates your product ideas at the right level of fidelity, while expanding what UX/UI for AI can be
  • Forward deploy both domestically and internationally up to 50% of your time.
  • Embody deep user empathy to partner with designers, engineers, scientists, and customers, ensuring that our AI techniques and technologies translate into scalable tools, services, and customer experiences
  • Employ a variety of languages, libraries, and frameworks, and tools to push the status quo of product - we use react, node, typescript, Figma, tailwind, framer motion, and more
  • Apply your principles of design, engineering, and product across the full stack of our systems

Arena AI specializes in creating active learning systems that focus on optimizing pricing strategies for businesses. Their systems utilize advanced artificial intelligence techniques, particularly reinforcement learning, to continuously adapt and improve based on real-world data. This allows companies in sectors like retail and e-commerce to enhance their pricing strategies, ultimately maximizing revenue and maintaining competitiveness. Arena AI operates on a performance-based model, meaning they are compensated based on the measurable improvements they achieve for their clients. This aligns their goals with those of their clients, ensuring a strong motivation to deliver effective solutions. The team at Arena AI consists of experts from top institutions and companies, bringing extensive knowledge and experience to address complex challenges in pricing optimization.

Company Stage

Series A

Total Funding

$62.3M

Headquarters

New York City, New York

Founded

2019

Growth & Insights
Headcount

6 month growth

51%

1 year growth

145%

2 year growth

165%
Simplify Jobs

Simplify's Take

What believers are saying

  • The recent $32 million Series A funding, led by prominent investors like Initialized and Goldcrest Capital, positions Arena AI for significant growth and development.
  • Arena AI's focus on high-frequency decision-making automation can lead to substantial efficiency gains for clients, making it an attractive workplace for those interested in cutting-edge AI applications.
  • The company's results-driven model offers employees the satisfaction of seeing direct, measurable impacts of their work on client success.

What critics are saying

  • The niche focus on pricing strategies may limit market opportunities compared to more diversified AI companies.
  • Dependence on performance-based revenue can lead to financial instability if client outcomes do not meet expectations.

What makes Arena AI unique

  • Arena AI specializes in active learning systems for pricing strategies, a niche focus that sets it apart from broader AI competitors.
  • Their performance-based business model ensures alignment with client goals, unlike traditional subscription or licensing models.
  • The team’s background from prestigious institutions and companies like Stanford, MIT, and Google provides a competitive edge in expertise and innovation.

Help us improve and share your feedback! Did you find this helpful?