Principal Software Engineer (PMTS), Full Stack

Principal EngineerEngineering 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.What You'll DoDefine and drive technical strategy for major product areas, ensuring long-term scalability, reliability, and developer velocityLead large, cross-team initiatives from concept through launch and iteration (including sequencing, dependency management, and stakeholder alignment)Architect and evolve complex systems spanning frontend, backend services, and data models; make pragmatic tradeoffs that optimize for customer outcomes and operational excellenceEstablish and evolve engineering standards (architecture patterns, testing strategy, performance budgets, reliability/observability practices) that scale across teamsBuild AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value, with strong engineering around evaluation, observability, and iterationProactively identify and eliminate systemic risks: reliability gaps, performance bottlenecks, scaling constraints, and operational toilMentor and develop engineers across levels; amplify impact by coaching technical leaders and raising the bar for design and executionCommunicate clearly and influence effectively across engineering, product, design, and leadership—especially during high-ambiguity decisionsWho You AreDeep experience shipping and operating production full-stack web applications at scaleDemonstrated ability to set technical direction and drive alignment across multiple teams or workstreamsStrong track record delivering large, complex initiatives with meaningful dependencies and cross-functional stakeholdersExcellent systems thinking: you can reason about architecture, performance, reliability, and developer experience as a cohesive wholeHands-on experience applying AI/ML in product (LLMs, embeddings, or similar), with strong judgment about evaluation, safety/reliability, and user trustComfortable operating in ambiguity and creating clarity: framing problems, defining approaches, and making decisions that stickStrong communicator: you can write and speak clearly to different audiences and drive decisions through influenceProduct-minded: you care about UX and customer outcomes, not just implementationOwnership mindset and bias for actionExperience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most)Nice to HaveExperience with enterprise SaaS (especially B2B marketing or sales tech)Experience with real-time systems (chat, messaging, event-driven)Familiarity with Salesforce/CRM integrationsExperience building agentic systems or autonomous tool-using workflowsExperience defining reliability practices (SLIs/SLOs), incident response improvements, or observability standardsStartup experience and rapid shippingWhy Join QualifiedBuild 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 technical and product scope over time—leading projects, influencing architecture, and leveling up quickly.