Senior Software Engineer, Full Stack

October 20, 2024

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Qualified

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Qualified is a company that specializes in enhancing B2B marketing and sales efforts through advanced AI technology. It provides a comprehensive platform for automating and optimizing inbound pipeline generation by converting website visitors into potential leads and sales meetings. The company's offerings include AI-powered chat, voice, and video conversations, automated email follow-ups, meeting scheduling, personalized marketing offers, and account-based buying intent insights. Designed to integrate seamlessly with tools like Salesforce, Qualified's platform enables businesses to maximize their sales outreach and engagement, driving high return on investment and improved sales performance.

Conversational Marketing • B2B Sales • CRM • Demand Generation • Marketing Automation

51 - 200 employees

🤝 B2B

🤖 Artificial Intelligence

☁️ SaaS

📋 Description

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 our products and deliver delightful user experiences. Collaborate closely with Product Managers, Product Designers, and Platform Engineers to ideate and develop mission-critical applications. Conduct rapid prototyping and iterative development to enhance AI solutions based on real-world performance and user feedback. Ensure our core functionality is stable, scalable, well-maintained, and continuously improving. Continuously grow your technical skills to tackle our toughest challenges related to quality, performance, robustness, and reliability. Contribute to our team’s culture and future by mentoring other engineers and setting standards of engineering excellence. Support and scale highly-available, highly-trafficked services essential for our customers' time-sensitive, business-critical needs.

🎯 Requirements

5+ years of experience in professional full-stack software development, with a recent focus on leveraging AI/ML technologies. Expertise in working with all components of a modern web application. Proficiency in programming languages such as Ruby on Rails, JavaScript, Python, or Go. Proficiency in object-oriented programming, systems design, and working with large-scale, low-latency systems. Experience using frontier-scale LLMs (e.g., GPT, Claude, Gemini) programmatically for developing applications in production environments is a plus. Experience working with SQL and RDBMS (PostgreSQL preferred) and data warehousing solutions. Strong software engineering practices, including coding, unit testing, code reviews, and design documentation. B.S. or higher in Computer Science (or equivalent work experience).

🏖️ Benefits

Offers Equity Offers Bonus