Qualified is the Agentic Marketing Platform for B2B companies, offering Piper, the AI SDR Agent, to enhance inbound pipeline growth.
The product teams are focused on building Piper to power chat, email, content, and website features.
The Staff Software Engineer will help architect LLM-based products and elevate them to the next level.
This role involves ensuring Piper is built on cutting-edge LLM concepts and driving the direction of product architecture.
The engineer will collaborate across teams in Conversations, Email, and Content, working closely with product and design to maximize business impact.
Responsibilities include researching, developing, and shipping the latest technical achievements in LLM and generative AI.
The engineer will provide technical leadership by designing systems that power the AI and ensuring system quality.
Collaboration with engineering, product, and design teams is essential to make impactful decisions on product development.
The role requires hands-on development, writing high-quality, clean code primarily in Rails and React.
Requirements:
A minimum of 7 years of experience in software development at a Staff or Principal level, preferably with large-scale SaaS products.
Proficiency in Rails and React (or similar web frameworks) and relational databases is required.
A proven track record of technical leadership, including experience in shaping roadmaps, making high-stakes decisions, and delivering complex end-to-end features.
Strong communication skills are necessary to articulate complex ideas to both technical and non-technical audiences and to drive alignment in cross-functional settings.
A passion for mentorship is essential, with a commitment to growing and inspiring engineers through code reviews, pair programming, and knowledge sharing.
Benefits:
The role offers a high-impact opportunity to shape the platform and directly influence key business outcomes.
Employees will have the chance to collaborate closely with the CTO and an experienced leadership team during a pivotal growth stage.
The position involves working with cutting-edge technology to build and scale AI-driven products that redefine B2B pipeline generation.
