Software Engineering Manager
QualifiedRemote (US/Canada)Posted 27 March 2026
Job Description
Software Engineering Manager
Qualified is the Agentic Marketing Platform for B2B companies. With Piper the AI SDR Agent, Qualified offers a whole new way to grow inbound pipeline. Piper operates across both the website and email, working to engage website visitors, capture leads, and convert buyers into pipeline around the clock. Hundreds of the world’s leading brands—including Crunchbase, Asana, Box, and Grubhub—choose Qualified to increase lead conversions, generate more meetings, and improve efficiency within their inbound pipeline motion.
OVERVIEW
We are looking for an experienced Engineering Manager to lead our AI Core & Product teams. This is a high-impact leadership role focused on developing and scaling the core backend systems that power our platform, with a strategic focus on integrating AI technologies. You will also lead a fullstack product team, ensuring seamless integration between the backend and user-facing features. You'll partner closely with senior technical leaders and help drive execution across AI integration, platform strategy, and business growth. We're looking for someone who's helped grow teams with operational excellence and technical fluency, while brining people leadership to the table.
WHAT YOU'LL DO
1. Lead and Grow the Teams: Manage and mentor multiple teams. Hire and develop talent to support company growth and evolving product needs.
2. Own the AI Core Mission: Drive the roadmap for strategically integrating AI technologies, including LLMs and embeddings, to enhance our product's capabilities. You'll also ensure our systems are resilient, scalable, and easy to build on.
3. Drive Foundational Systems: Lead the development and maintenance of scalable, high-performance backend systems. You will also guide the design and implementation of robust data models to support RAG models' training and inference processes efficiently.
4. Champion Product-First Thinking: Instill a product-focused mindset across the teams to tackle technical challenges related to quality and performance. You'll ensure the core functionality of our product is stable, reliable, and continuously improving.
5. Collaborate Cross-Functionally: Partner with leadership and product teams to align on priorities, ensuring technology is integrated into strategic decision-making and delivering results that move the business forward.
WHAT WE'RE LOOKING FOR
- Experience managing engineering teams, ideally in high-growth environments with a focus on leveraging AI/ML technologies.
- Strong background in fullstack development with proven proficiency in programming languages such as Ruby on Rails, Java, Python, or Go.
- Hands-on experience in AI-driven application development, including experiment setup, dataset curation, model training, and deployment.
- Experience working with SQL and RDBMS (PostgreSQL preferred).
- A "driver" mindset: proactive, outcomes-oriented, and unafraid to roll up your sleeves when needed.
- Strong communication and collaboration skills, especially in cross-functional leadership settings.
WHY JOIN QUALIFIED
- Foundational Impact: As a key leader, you'll own the systems and teams that power our AI-driven platform at a pivotal moment of scale. You'll directly shape our approach to AI integration and backend systems.
- High-Growth Environment: Join us at a pivotal stage where you can establish best practices that will scale with our rapid growth and expansion.
- Cutting-Edge AI: Work on unique and challenging problems related to integrating AI into a B2B platform, helping to define standards for a new generation of applications.
- Close Leadership Collaboration: Partner with leadership and product teams to ensure technology is integrated into our strategic decision-making.
If you're ready to take on a high-visibility role where you'll lead critical initiatives and help shape the future of our AI-powered platform, we'd love to hear from you.
About Qualified
Qualified is the Agentic Marketing platfo ... (truncated, view full listing at source)
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