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Jobs(38,923)/Software Engineer Role(2,536)/qualified (11) - Lead Software Engineer (LMTS), Full Stack
qualified

qualified - Lead Software Engineer (LMTS), Full Stack

San Francisco, California, United States$173k - $260k1mo ago
RemoteStaffNACloud ComputingArtificial IntelligenceSoftware EngineerFull Stack EngineerFull StackRailsAWSReactB2B

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

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

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 build high-quality full-stack product 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 1, 2026

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