Lead Software Engineer (LMTS), Full Stack

Qualified•San Francisco, CA

2d•$178,900 - $246,000•Hybrid

About The Position

Qualified has been acquired by Salesforce. Salesforce is the #1 AI CRM, where humans with agents drive customer success together. The company is 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. Agentforce is the future of AI, and you are the future of Salesforce. Engineering at Qualified is a high-ownership, high-velocity environment where engineers ship customer-facing product to real enterprises at scale. They are building at the frontier of AI + product: developing agentic software and embedding AI directly into their platform, using modern toolchains and processes that help engineers move faster while staying focused on high-impact problem solving. Following the acquisition by Salesforce, they 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. 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 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.

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

Nice To Haves

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

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