Lead hands-on content design for priority AI initiatives and agent experiences, from early concept through launch, including conversational flows, embedded guidance, and system feedback
Define and evolve scalable language and explanation frameworks that guide how AI communicates intent, actions, uncertainty, and outcomes across agents
Design clear in-product explanations, prompts, and feedback loops that make AI behavior understandable and actionable for customers in real workflows
Partner closely with AI, experience design, product, and engineering teams to ensure language, interaction, and system behavior form a cohesive, trustworthy experience
Translate AI platform guidance into practical, shippable content patterns that teams can apply consistently in live products
Provide strategic guidance and enablement, while staying close to the work, to help teams apply shared content frameworks across use cases
Mentor and coach designers and cross-functional partners through active critique, co-design, and example-setting, not just documentation
Stay current on AI interaction and agent design trends, rapidly applying insights to active product challenges
Use storytelling and clear communication to explain decisions, influence direction, and amplify impact with partners and leadership
Requirements
8+ years of experience working on content experiences with demonstrated systems thinking beyond microcopy
Hands-on experience developing AI-driven product experiences, including conversational, embedded, or agentic systems
Strong ability to design language and explanation patterns that make system behavior understandable, predictable, and trustworthy for users
Demonstrated success partnering with UX, product, engineering, and AI teams, influencing decisions through collaboration rather than ownership
Excellent written and verbal communication skills, with the ability to mentor others and communicate clearly across disciplines
Comfort operating in ambiguity, shaping new patterns and practices as AI capabilities evolve