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Senior UX Designer

Workspan โ€ข Bengaluru, India ๐Ÿ‡ฎ๐Ÿ‡ณ

Full-time Senior

The Senior UX Designer will lead the UX design of AI features within the WorkSpan platform, focusing on intuitive interfaces and user trust in AI decision-making. This role involves overseeing design quality, conducting research, and collaborating with technical teams to ensure effective AI-human interactions.

Responsibilities

  • Design intuitive interfaces for AI agents that handle complex partner ecosystem tasks autonomously
  • Create trust and control mechanisms that allow users to understand, guide, and intervene in AI decision-making processes
  • Develop conversation and prompt design patterns for multi-modal AI interactions (text, voice, visual)
  • Design transparency features that communicate AI reasoning, confidence levels, and decision paths to enterprise users
  • Oversee end-to-end design quality for AI-enhanced features, ensuring consistency across autonomous and user-controlled experiences
  • Champion AI-appropriate UX principles to stakeholders, translating between ML capabilities and user needs
  • Balance AI autonomy with user control requirements in enterprise partner management contexts
  • Design adaptive interfaces that accommodate users from AI novices to power users
  • Lead discovery research to understand how users conceptualize and trust AI agents in B2B contexts
  • Conduct studies on AI error recovery patterns and trust calibration in partner ecosystem management
  • Develop information architecture for AI-augmented workflows that seamlessly blend automated and manual processes
  • Create frameworks for ethical AI design, addressing bias mitigation and responsible automation in partner relationships
  • Create wireframes and prototypes for conversational AI interfaces, agent dashboards, and intervention points
  • Design data visualizations that represent AI performance, decision trees, and partner ecosystem insights
  • Develop AI status indicators, confidence displays, and explainability features within our design system
  • Craft interfaces for prompt engineering and AI configuration that non-technical users can master
  • Partner with ML engineers and data scientists to understand model capabilities and constraints
  • Translate technical AI limitations into user-friendly design patterns and guardrails
  • Create comprehensive documentation for AI interaction patterns and conversation flows
  • Guide engineering teams on implementing trust-building features and feedback mechanisms

Requirements

  • 5+ years of professional UX design experience, with at least 2 years designing AI/ML-powered products
  • Bachelor's degree in Design, HCI, or related field; OR Master's degree (NID, IITs) in a relevant discipline; OR UX certification (Google, HUI, etc.) with 4+ years of hands-on experience
  • Demonstrated portfolio showcasing AI/conversational interface design work
  • Experience designing conversational UX, chatbots, or voice interfaces
  • Understanding of AI concepts: context windows, hallucinations, confidence scores, model limitations
  • Ability to design for non-deterministic systems and probabilistic outcomes
  • Experience with prompt design patterns and natural language interfaces
  • Advanced proficiency with Figma as your primary design toolkit
  • Demonstrated experience using AI tools (ChatGPT, Claude, Midjourney, etc.) in design workflows
  • Ability to create and maintain complex design systems that accommodate AI components
  • Expert at crafting wireframes, prototypes, and high-fidelity mockups for both traditional and AI interfaces
  • Experience with data visualization for complex, multi-dimensional information
  • Proven track record conducting user research specific to AI products
  • Experience designing for transparency and explainability in automated systems
  • Understanding of ethical AI principles and inclusive design for AI systems
  • Ability to identify and design against potential AI misuse cases
  • Experience with change management and helping users transition from manual to AI-augmented workflows
  • Mental Models & Trust Design: Understanding how users conceptualize AI agents vs. traditional software
  • Systems Thinking: Ability to map complex journeys where AI takes various autonomous actions
  • Adaptive Interface Design: Creating experiences that scale from simple guidance to granular control
  • Cross-functional AI Collaboration: Proven ability to work with data scientists and ML engineers
  • Innovation Mindset: Comfort designing for emerging AI capabilities while maintaining practical constraints
  • Excellence in translating between technical AI constraints and user needs
  • Ability to educate stakeholders on AI interaction paradigms and their implications
  • Experience advocating for responsible AI design and ethical considerations
  • Skilled at communicating the unique challenges of designing for non-deterministic systems
  • Experience mentoring teams on AI design best practices

Key Skills

  • Experience designing conversational UX, chatbots, or voice interfaces
  • Understanding of AI concepts: context windows, hallucinations, confidence scores, model limitations
  • Ability to design for non-deterministic systems and probabilistic outcomes
  • Experience with prompt design patterns and natural language interfaces
  • Advanced proficiency with Figma as your primary design toolkit
  • Demonstrated experience using AI tools (ChatGPT, Claude, Midjourney, etc.) in design workflows
  • Ability to create and maintain complex design systems that accommodate AI components
  • Expert at crafting wireframes, prototypes, and high-fidelity mockups for both traditional and AI interfaces
  • Experience with data visualization for complex, multi-dimensional information
  • Proven track record conducting user research specific to AI products
  • Experience designing for transparency and explainability in automated systems
  • Understanding of ethical AI principles and inclusive design for AI systems
  • Ability to identify and design against potential AI misuse cases
  • Experience with change management and helping users transition from manual to AI-augmented workflows
  • Mental Models & Trust Design: Understanding how users conceptualize AI agents vs. traditional software
  • Systems Thinking: Ability to map complex journeys where AI takes various autonomous actions
  • Adaptive Interface Design: Creating experiences that scale from simple guidance to granular control
  • Cross-functional AI Collaboration: Proven ability to work with data scientists and ML engineers
  • Innovation Mindset: Comfort designing for emerging AI capabilities while maintaining practical constraints
  • Excellence in translating between technical AI constraints and user needs
  • Ability to educate stakeholders on AI interaction paradigms and their implications
  • Experience advocating for responsible AI design and ethical considerations
  • Skilled at communicating the unique challenges of designing for non-deterministic systems
  • Experience mentoring teams on AI design best practices

Benefits

  • Opportunity to define AI UX standards in the partner ecosystem management space
  • Collaboration with industry leaders using our platform (Google, NVIDIA, Deloitte)
  • Access to cutting-edge AI technologies and resources
  • Influence on products managing $50B+ in joint pipeline value
  • Career growth in the rapidly evolving field of Enterprise AI

About Workspan

WorkSpan is the #1 co-sell management network that empowers companies to turbocharge and scale their co-sell revenue growth. Partnership and Sales teams use WorkSpanโ€™s secure SaaS solution to collaborate with partners on deals, exchange co-sell referrals from inside their CRM, manage shared pipeline, and track performance on a live dashboard. As the industryโ€™s leader in Ecosystem Business Management, we power the top 10 business ecosystems in the technology and communications industry today, managing over $50 billion in joint pipeline, 6x faster speed to market for joint solutions, and 2x partner manager productivity. Customers include Microsoft, Cisco, SAP, VMware, HPE, Accenture, Ericsson, Citrix, Red Hat, and others.

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