qualified - Principal Software Engineer (PMTS), Full Stack
Requirements
• Deep experience shipping and operating production full-stack web applications at scale • Demonstrated ability to set technical direction and drive alignment across multiple teams or workstreams • Strong track record delivering large, complex initiatives with meaningful dependencies and cross-functional stakeholders • Excellent systems thinking: you can reason about architecture, performance, reliability, and developer experience as a cohesive whole • Hands-on experience applying AI/ML in product (LLMs, embeddings, or similar), with strong judgment about evaluation, safety/reliability, and user trust • Comfortable operating in ambiguity and creating clarity: framing problems, defining approaches, and making decisions that stick • Strong communicator: you can write and speak clearly to different audiences and drive decisions through influence • Product-minded: you care about UX and customer outcomes, not just implementation • Ownership mindset and bias for action • Experience with modern web frameworks (Rails/React/Postgres/AWS is a plus; adaptability matters most) • 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 • Experience defining reliability practices (SLIs/SLOs), incident response improvements, or observability standards
Responsibilities
• Define and drive technical strategy for major product areas, ensuring long-term scalability, reliability, and developer velocity • Lead 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 excellence • Establish and evolve engineering standards (architecture patterns, testing strategy, performance budgets, reliability/observability practices) that scale across teams • Build AI-powered experiences using LLMs, embeddings, and related techniques where they create real user value, with strong engineering around evaluation, observability, and iteration • Proactively identify and eliminate systemic risks: reliability gaps, performance bottlenecks, scaling constraints, and operational toil • Mentor and develop engineers across levels; amplify impact by coaching technical leaders and raising the bar for design and execution • Communicate clearly and influence effectively across engineering, product, design, and leadership—especially during high-ambiguity decisions
Benefits
• 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 technical and product scope over time—leading projects, influencing architecture, and leveling up quickly. • If you’re excited to drive high-leverage technical leadership in a fast-moving team—especially at the intersection of AI and enterprise software—we’d love to hear from you. • Applications will be accepted until June 15, 2026
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