About WorkSpan

The next era of growth is being driven by business interoperability. Cloud, genAI, solutions combining services and software- more and more, companies outpace their competition not just through building superior products, but by creating stronger partnerships, paths to market, and better business models for winning together. Cloud providers, service providers, tech partners and resellers are teaming up to win more deals together through co-selling.

WorkSpan is building the world’s largest, trusted co-selling network.

WorkSpan already has seven of the world’s ten largest partner ecosystems on our platform and $50B of customer pipeline under active management. AWS, Google, Microsoft, MongoDB, PagerDuty, Databricks and dozens of others trust WorkSpan to accelerate and amplify their ecosystem strategies.
With a $30M series C and backing from world class investors Insight Partners, Mayfield, and M12, WorkSpan is poised to drive the future of B2B. Come be a part of it.

Join our team for the opportunity to:
●    Own your results and make a tangible impact on the business
●    Develop a deep understanding of GTM working closely with leadership across sales & marketing
●    Work with driven, passionate people every day
●    Be a part of an ambitious, supportive team on a mission

We're seeking a Senior Product Designer to lead the UX design of our next-generation Agentic AI features

within the WorkSpan platform. You'll pioneer how enterprise users interact with AI agents that autonomously

manage partner relationships, optimize workflows, and drive ecosystem intelligence. This role demands both

exceptional UX craft and deep understanding of AI-human interaction paradigms.

Core Responsibilities

AI-Driven Design Leadership

-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

Project Ownership

-Oversee end-to-end design quality for AI-enhanced features, ensuring consistency across autonomous anduser-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

Research & Strategy

-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

Design Execution

-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

Collaboration & Implementation

-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

Qualifications

Required Experience and Education

-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 workTechnical Skills

AI/ML Design Expertise:

-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

Core Design Skills:

-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

Process Knowledge

-Proven track record conducting user research specific to AI products (mental model studies, trust calibration

research)

-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

AI-Specific Competencies

-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

Collaboration & Communication

-Excellence in translating between technical AI constraints and user needs

-Ability to educate stakeholders on AI interaction paradigms and their implicationsExperience 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

What Makes You Stand Out

-Experience with enterprise B2B AI products or partner ecosystem platforms

-Knowledge of agentic AI frameworks and autonomous agent architectures

-Contributions to AI design communities, publications, or open-source projects

-Experience designing for complex workflows, CRM tools, or data-heavy interfaces

-Understanding of RAG systems, vector databases, or enterprise AI infrastructure

Red Flags We Avoid

-Treating AI as just another feature rather than a fundamental interaction shift

-Inability to articulate the unique challenges of non-deterministic systems

-Lack of consideration for AI ethics, bias, or misuse prevention

-Over-reliance on AI hype without practical understanding of limitations

What We Offer

-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

-Ready to shape how thousands of enterprises interact with AI in their partner ecosystems? Join us in building

the future of AI-augmented business collaboration at WorkSpan.