Ascend21

Ascend21

Senior Software Engineer

San Francisco · Senior

Sponsorship not specifiedDetected 43 days ago
RubyNext.jsRailsFull-Stack DevelopmentCode ReviewSalesforceAccounting

About the role

  • Ascend is seeking a Senior Software Engineer to join our team on-site in San Francisco to help expand our core product.
  • As an Engineer at Ascend, you'll be part of a small but growing team focused on solving complex technical challenges using Ruby.
  • Understand Ascend's platform, product, and customer workflows by collaborating with team members and engaging with customers

Responsibilities

  • Partner with product managers and designers to solve customer challenges directly
  • Build intuitive UIs with Next.js to power financial operations
  • Maintain high product quality through proactive monitoring and continuous improvements
  • Develop the industry's leading point-of-sale system for insurance, enabling seamless payments and improving conversion rates

Requirements

  • 4+ years of experience as a Full Stack or Backend Engineer
  • 2+ years working in a growth-stage startup
  • Experience with relational databases

Nice to have

  • Tech Stack & Processes

Skills

  • How We Do It
  • AI is driving the cost of software toward zero.
  • The companies that win won't just sell tools - they'll capture value at the point of the transaction itself.
  • Ascend is built for exactly that moment.
  • Why We Do It
  • The insurance industry intermediates trillions of dollars - and almost none of that infrastructure was built for the modern era.
  • Legacy systems aren't just inefficient; they're a ceiling on what the industry can become.

Company info

  • You'll also interface directly with our customers and work cross-functionally to develop new product features, dashboards, and checkout processes-without any layers.
  • Collaborate with customers to translate their needs into scalable solutions for the multi-trillion-dollar insurance industry

This listing is sourced directly from Ascend21's careers page and normalized into a canonical job model.