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Responsibilities
The RoleThis role will lead enterprise customizations for Nadia—our AI coach—adapting and deploying tailored solutions for complex customer environments. You’ll design, implement, and evaluate high-impact workflows (prompts, memory/knowledge patterns, coaching flows), balance bespoke vs. reusable architectures, and build the tooling and evaluation muscle that helps us scale enterprise AI deployments.You’ll collaborate cross-functionally with Product, AI Research/Applied AI, and Engineering, ensuring our most advanced enterprise AI systems are safe, performant, and aligned with user outcomes.This is a hybrid role combining product sense, technical grounding, and delivery instinct—ideal for someone who loves to build, ship, and iterate. You’ll thrive if you can translate between client needs and AI system design, and operate comfortably in ambiguity while pushing toward real-world results.About ValenceWe'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, ServiceNow, 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.What You'll DoOwn end-to-end customizations: Lead discovery → design → implementation → evaluation → iteration cycles for enterprise-grade workflows.Architect for reuse: Identify repeatable patterns, modularize components, and define when to productize; communicate tradeoffs across speed, quality, and maintainability.Drive quality and evaluation: Define prompting standards, guardrails, and success metrics (accuracy, tone, safety, outcome quality). Build lightweight evaluation frameworks that scale across clients.Make hard tradeoffs: Balance speed vs. scalability; protect the platform from over-engineering while ensuring customers see real value quickly.Collaborate deeply: Partner with Product, AI Engineering, and Coaching SMEs to deliver solutions with measurable impact.Mentor and level up others: Guide associates or EMs learning prompting and integration skills; contribute to playbooks, templates, and internal training.Measure outcomes: Track deployment speed, adoption, satisfaction, and quality; identify opportunities for reusability and efficiency gains.
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