Remote Otter LogoRemoteOtter

Staff Software Engineer - Remote

Posted 39 weeks ago
Software Development
Full Time
Worldwide

Overview

We’re an early-stage AI startup building a Sales Copilot used by companies like MongoDB, Figma, Algolia, Dropbox, dbt Labs, and LucidChart. Our product helps Account Executives focus on the right accounts and boost outbound productivity using powerful signals from 1st and 3rd party data. MadKudu is hiring a Staff Software Engineer to help shape the technical foundation of the future of sales. We’re looking for someone who loves getting into the weeds, a system-savvy engineer who thrives on infrastructure, enjoys fixing what others avoid, and wants high ownership of critical systems.

In Short

  • Work directly with the CTO to shape product direction and technical architecture.
  • Focus on building a Sales Copilot for B2B marketing and sales teams.
  • Contribute to a startup backed by significant investment.
  • Opportunity to work in a dynamic and innovative environment.
  • Engage in a multi-faceted interview process.

Requirements

  • Strong analytical and engineering skills.
  • Experience with AWS and infrastructure.
  • Familiarity with CI tools like GitHub Actions.
  • Some fullstack development knowledge.
  • Motivation and grit to tackle challenging problems.

Benefits

  • On-market compensation.
  • Generous equity packages.
  • Close exposure to founders and leadership.
  • Join a company at the early stages of hyper growth.
  • Unique company values promoting resilience and authenticity.
Madkudu logo

Madkudu

Madkudu is an innovative early-stage AI startup focused on revolutionizing sales processes through its Sales Copilot product, which is utilized by prominent companies such as MongoDB, Figma, and Dropbox. The company aims to enhance the productivity of Account Executives by leveraging powerful signals from both first and third-party data. With a strong backing of $18M in Series A funding from notable investors, Madkudu is poised for significant growth. The team is led by experienced founders with extensive backgrounds in predictive analytics, and they emphasize a culture of resilience, continuous learning, authenticity, and customer-centricity.

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