Senior Product Engineer

As a Senior/Staff Product Engineer, you will be instrumental in architecting, building, and scaling both backend systems and user-facing experiences that power our LLM-driven coaching platform. You will ship features end-to-end - from designing resilient APIs and integrating models to delivering polished interfaces in the browser - while collaborating closely with cross-functional partners in product, design, and infrastructure. This is a ground-floor opportunity to shape a category-defining product used by enterprise customers worldwide.

• Full stack architecture, development, and optimization of features spanning backend, AI/model integration, and frontend interfaces.
• Designing for scale, performance, and security in enterprise environments.
• Debugging across the stack - from model behavior and backend services to UI logic and client performance.
• Collaborating with product, design, and operations to deliver delightful, resilient user experiences.
• Helping evolve the engineering culture, tooling, hiring, and technical roadmap as the team grows.

We're the only company pioneering leadership coaching for large enterprises in an AI-first way. Our mission is to transform how the world's biggest companies approach learning and development, helping teams work better together through AI-powered personalization that adapts to individual goals and organizational culture using the latest advances in machine learning and natural language processing.

We've been featured in Harvard Business Review, TIME, World Economic Forum, Financial Times, Forbes and an Inc. 5000 fastest-growing private companies in America. Our clients represent the most diverse and sophisticated enterprise AI implementations globally, including Coca-Cola, Delta, Nestlé, General Mills, Schneider Electric, Deutsche Telekom, AstraZeneca, Prudential, CVS and Bristol Myers Squibb.

Working at Valence means you'll work directly with Fortune 500 technology leaders, building expertise through the most complex enterprise deployments while gaining insight into diverse organizational approaches to AI transformation. These aren't just any enterprise clients - they're the companies defining what AI-first business transformation looks like across every major industry.

• Build and extend critical backend services: architect APIs, integrate LLMs and related services, and optimize server-side systems for performance and reliability.
• Develop polished frontend experiences: craft intuitive UI flows, ensure accessibility and responsiveness, and manage data flow between frontend and backend.
• Own end-to-end delivery: from scoping requirements, writing tests, deploying code, to monitoring and observability in production.
• Collaborate deeply: work across product, design, data, and infrastructure to solve real user problems and accelerate delivery.
• Drive best practices: help shape engineering standards, CI/CD automation, observability, and performance benchmarking.
• Mentor and grow: support team members through code reviews, technical discussions, and institution of scalable practices.

• Strong full stack experience: you have shipped production-grade systems involving both backend and frontend components, and you’re comfortable owning APIs and user experiences end-to-end.
• Technical breadth/ Engineering skills: deep proficiency with Python (Django preferred) or similar languages for backend; strong JavaScript skills and familiarity with modern frameworks (e.g., React, Vue).
• Frontend craftsmanship/ UX obsessed: experience building responsive, high-performance UI with attention to usability and scale.
• Enterprise-grade thinking: you build for scale, performance, security, and maintainability in large,…