Product Designer II

Overview

Enterprise Commerce Studio

Responsibilities

• Design agentic workflows end‑to‑end focusing on assistive conversations, tool‑use orchestration, and trustworthy handoffs between human and AI.  
• Prototype multi‑modal agent interactions (text, voice, visual) and define conversation design patterns, error‑recovery paths, and safety rails aligned with Microsoft’s Agent UX guidance.
• Storyboard, architect information flows, and run usability evaluations; contribute to agentic UX design systems and patterns.
• - Instrument and measure impact (time‑to‑value, seller productivity, CSAT); partner with Data Science to define metrics, logs, and experiment designs for agent features
• Champion inclusive, user‑centered practices—ground decisions in research/insights and balance user needs with business outcomes and technical constraints.
• - Scope and prioritize complex work across multiple projects; lead through ambiguity and make crisp decisions that unblock teams.
• Mentor and influence across disciplines; raise the bar on agentic patterns, accessibility, and design operations expectations.
  

Qualifications

• 3+ years of UX design experience, including ≥1 year designing for AI assistants/agents or AI‑fueled interactive experiences; BA/BS or Master’s in Design/HCI or related field is a plus.
• Strong communication and UX project management skills—able to estimate, plan, deliver independently, and orchestrate transparent stakeholder communication.
• Fluency in Figma and the ability to leverage AI for design productivity; adept at producing artifacts that elegantly convey ideas, workflows, and concepts.
• - Ability to work independently through ambiguous situations and undefined product areas; accurately scope/estimate efforts and prioritize tasks.
• - A high‑quality portfolio presentation that communicates experience and demonstrates design and communication skills.
• ### Preferred
• - Exposure to Enterprise sales or Enterprise Commerce scenarios (e.g., CRM, CPQ, analytics).
• - Familiarity with AI safety/ethics, responsible AI practices, and privacy/compliance considerations in enterprise contexts.
• - Exposure to data‑informed design for agents (telemetry, prompt instrumentation, evals) and A/B testing.
• -
• ## Skills
• - Excellent written, verbal, and visual communication driving compelling conversations and clear design presentations.
• - Ability to create a variety of design artifacts that elegantly convey ideas, workflows, and concepts.
• - Operate independently through ambiguity; accurately scope and prioritize tasks and goals.
  

requesting accommodations.