Radar

Senior / Staff Product Engineer, Backend

Radar
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1 year ago
Remote, United States or New York, NY, USASenior / Staff+
H1B sponsor

Base Salary

$200k - $300k/yr

Responsibilities

  • Build and maintain core Radar products using TypeScript, Rust, Python, and Scala.
  • Develop features across the backend API layer and offline data pipelines.
  • Operate systems powering more than 1 billion API calls per day.
  • Talk with customers and prospects, incorporate their feedback, and help make them successful.
  • Collaborate with Customer Success, Sales Engineering, and Sales teams.

Requirements

  • Think like a generalist engineer and be willing to work across multiple technology stacks.
  • Be interested in speaking with customers and prospects and helping them succeed.
  • Demonstrate deep curiosity, tenacity, and the ability to work through difficult technical problems.
  • Experience as a former technical co-founder, with high-throughput or high-growth SaaS applications, or with geospatial infrastructure is a bonus.
  • Participate in the engineering on-call rotation.

Benefits

  • Full-time role with a base salary range of $200,000-$300,000 per year plus potential performance bonuses and stock options.
  • 401(k) plan with a 4% match.
  • NYC HQ in Flatiron, Manhattan, with remote work available in the United States.
  • Top-notch equipment, catered lunches, unlimited PTO, commuter and fitness benefits.
  • Health, dental, and vision insurance with 100% employee coverage.
  • 12 weeks of paid parental leave.

Tech Stack

Categories

BackendProduct Engineering
Radar

About Radar

11-50 employees

Radar builds a location platform for businesses, offering geofencing SDKs, maps APIs, and AI-enabled tools used by marketing, operations, and risk teams. Its SaaS products include Radar Protect, which provides geo-compliance and fraud detection for industries such as gaming, fintech, marketplaces, on-demand, and e-commerce. Founded in 2016 and headquartered in New York City, the company sells usage-based APIs and software to product and data teams.

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