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Lead Software Engineer (LMTS), Full Stack

External
qualified logoQualified · Remote
Full-timeRemote4w ago
AWSCRMLLMsMoveObservabilityRails
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About the role

As a Software Engineer on the Product Team, you'll turn ambiguous product problems into high-quality shipped software-partnering closely with product and design to define what we build, how we build it, and how we measure success. You'll work on the core workflows that matter most to customers, from the UI they touch every day to the backend services and data models that power them. You'll also help us translate emerging AI capabilities into practical, reliable product experiences. That means choosing the right techniques for the job, designing clear interfaces between AI components and the rest of the system, and ensuring the resulting features are observable, testable, and maintainable. If you enjoy moving from concept to implementation quickly-and iterating based on real usage-this role is built for that.

Responsibilities

  • Ship full-stack product features end-to-end across frontend, backend, and data
  • Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value
  • Own delivery from scope/design through launch, monitoring, and iteration
  • Solve ambiguous, technically challenging problems with pragmatic, scalable solutions
  • Partner closely with product, design, and engineering to shape requirements and roadmap
  • Improve performance, reliability, and overall product quality at enterprise scale
  • Contribute to strong engineering culture through code review, tooling, and process improvements

Requirements

  • Proven experience shipping production full-stack web applications
  • Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar)
  • Comfortable operating in ambiguity and driving work forward independently
  • Product-minded: you care about UX and customer outcomes, not just implementation
  • Strong communicator and collaborator across functions
  • Ownership mindset and bias for action
  • Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most)
  • Curious and continuously learning
  • Experience with enterprise SaaS (especially B2B marketing or sales tech)
  • Experience with real-time systems (chat, messaging, event-driven)
  • Familiarity with Salesforce/CRM integrations
  • Experience building agentic systems or autonomous tool-using workflows
  • Startup experience and rapid shipping
  • Why Join Qualified
  • Build real product with real impact : Ship customer-facing features that directly improve pipeline generation and the day-to-day workflows of go-to-market teams at major enterprises.
  • Work across the full stack : Own meaningful slices of the product across frontend, backend, and data-optimizing for speed, quality, and maintainability.
  • AI as a core product surface : Help turn new AI capabilities into dependable experiences that customers trust, with strong engineering around evaluation, observability, and iteration.
  • High bar, low bureaucracy : Work with a team that values craft and decisive execution, where strong ideas win

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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