Senior Software Engineer - Product, Full Stack

Position Overview

• Location Type: (Not Specified)
• Employment Type: Full-Time
• Salary: $170K - $210K

Qualified offers the PipelineAI platform for B2B companies worldwide. With Piper the AI SDR, Qualified provides a new way to grow inbound pipeline with a single, powerful platform. Piper operates across both the website and email, engaging website visitors, capturing leads, and converting buyers into pipeline around the clock. Hundreds of leading brands—including Crunchbase, Asana, Box, and Grubhub—use Qualified to increase lead conversions, generate more meetings, and improve inbound pipeline efficiency.

Engineering at Qualified is focused on developing PipelineAI, an enterprise-grade SaaS platform powered by AI, with the goal of revolutionizing pipeline generation for customers. The team develops cutting-edge products using advanced technologies like Large Language Models (LLM) to automatically identify, engage, and convert valuable website visitors into immediate pipeline. Guided by agile principles, the team cultivates a culture of flexibility and efficiency, where engineers take ownership of projects from conception to launch, ensuring excellence in coding, testing, deployment, monitoring, and customer rollout.

Requirements

• (Not Specified)

Responsibilities

• Develop customer-focused applications by building new features, improving existing ones, and creating entirely new products.
• Utilize the latest advances in machine learning, LLMs, and other AI technologies to enhance products and deliver delightful user experiences.
• Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications.
• Own the end-to-end delivery and success of features—from coding and testing to deployment, monitoring, and customer rollout—while maintaining high standards of engineering and code quality.
• Work closely with customers, gathering immediate feedback to continuously improve products and ensure they meet user needs effectively.

Technology Stack

• Ruby on Rails
• PostgreSQL
• React.js
• AWS
• Large Language Models (LLM)
• Embeddings