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. THE ROLE As a Lead Engineer on the Product Team, you’ll operate as a technical leader who turns ambiguous, high-stakes product problems into durable, high-quality software—while raising the technical bar for the broader team. You’ll partner closely with product and design to define what we build, how we build it, and how we measure success, and you’ll help translate strategy into concrete execution plans. 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—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. WHAT YOU’LL DO - Ship and lead full-stack product initiatives end-to-end across frontend, backend, and data - Drive technical design for complex, multi-component systems (APIs, data models, services, UI architecture) with an emphasis on maintainability and operational excellence - Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value, with strong engineering around evaluation, observability, and iteration - Own delivery from scope/design through launch, monitoring, and iterative improvement—anticipating risks, sequencing work, and aligning stakeholders - Partner closely with product, design, and engineering leadership to shape roadmap, tradeoffs, and requirements - Improve performance, reliability, and overall product quality at enterprise scale - Raise team effectiveness through mentoring, technical guidance, code review, and improving standards, tooling, and processes - Contribute to a strong engineering culture with a bias for action, healthy debate, and high-quality execution WHO YOU ARE - Proven experience shipping production full-stack web applications in a high-ownership environment - Demonstrated technical leadership: you influence architecture and execution beyond your immediate workstream - Strong track record delivering complex projects with multiple stakeholders, dependencies, or phases - Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar), with pragmatic judgment about reliability and user outcomes - Comfortable operating in ambiguity and driving clarity: you can frame problems, propose solutions, and align others - Product-minded: you care about UX and customer outcomes, not just implementation - Strong communicator and collaborator across functions (product, design, engineering) - 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 HAVE - 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 and shipping is the default. - Room to grow: Take on larger technica