Senior Software Engineering Manager (LMTS)

About the role

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.

Responsibilities

• Lead and Grow the Teams: Manage and mentor multiple teams. Hire and develop talent to support company growth and evolving product needs.
• 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.
• 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.
• 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.
• 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.

Requirements

• 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

Additional Information

Qualified has been acquired by Salesforce! View the press release: https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-qualified/ About Salesforce Salesforce is the #1 AI CRM, where humans with agents drive customer success together. Here, ambition meets action. Tech meets trust. And innovation isn't a buzzword - it's a way of life. The world of work as we know it is changing and we're looking for Trailblazers who are passionate about bettering business and the world through AI, driving innovation, and keeping Salesforce's core values at the heart of it all. Ready to level-up your career at the company leading workforce transformation in the agentic era? You're in the right place! Agentforce is the future of AI, and you are the future of Salesforce. Engineering at Qualified Engineering at Qualified is a high-ownership, high-velocity environment where engineers ship customer-facing product to real enterprises at scale. We're building at the frontier of AI + product: developing agentic software and embedding AI directly into our platform, using modern toolchains and processes that help engineers move faster while staying focused on high-impact problem solving. Following our acquisition by Salesforce, we continue to operate with the pace and ownership of a startup-backed by the distribution, resources, and long-term runway of a global enterprise. Engineers have true end-to-end ownership from idea to production: scoping, implementation, testing, deployment, monitoring, and iterative improvement based on real customer feedback. You'll work alongside a high-talent-density team that cares deeply about craft, performance, reliability, and user experience-and that raises the bar through collaboration, code review, and strong engineering principles. The result is accelerated growth and impact: you'll make architecture decisions, solve meaningful system design challenges, and see your work land quickly with customers-without layers of approvals slowing you down.

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