At Mural, we’re building a new layer of collaboration, one where people and intelligent systems work together in real time. The Design and Research team turns complexity into clarity, shaping how humans and AI co-create, collaborate, and reason inside a shared visual canvas.
We work across product, engineering, and research to define how agentic systems show up in real workflows to enhance human collaboration and to make work better.
As a Lead Designer for Agentic Workflows, you’ll define AI-native features and think at the platform level about how AI agents operate within Mural’s platform. You’ll design systems where users and agents collaborate on a data-connected, visual canvas, moving from ideas to structured outcomes with shared context.
This is not about bolting on AI features. It’s about designing behaviors, orchestration, and interaction models for agents that think, act, and adapt to the needs of teams large and small.
You’ll work across levels, from platform primitives to high-fidelity interactions, shaping how agents understand intent, access data, and participate in collaborative workflows. You’ll help define new interaction patterns where control, transparency, and autonomy stay in balance.
You’ll succeed if you can turn ambiguous, emerging capabilities into clear, usable systems that feel natural inside a visual workspace.
Player Responsibilities (Individual Contributor Work):
Use code as a primary design tool to explore ideas, interactions, and system behaviors, especially for agentic workflows
Rapidly prototype concepts using AI-native tools and “vibe coding” to simulate real interactions, not just visuals
Define how agents behave, communicate, and take action across different moments in a workflow, then express those behaviors through interactive prototypes
Partner closely with engineering to evolve prototypes into scalable implementations, without owning production code
Create interaction models for human and multi-agent collaboration, including orchestration, handoffs, and shared context.
Design platform-level components and primitives for AI.
Translate complex system behavior into clear, usable experiences, balancing visibility, control, and autonomy.
Use Figma and other tools to refine, document, and communicate, not as the starting point for design thinking
Contribute to a culture where design artifacts are living systems
Coach Responsibilities (Practice Leadership):
Model design excellence for peers, mentoring others in visual craft, systems design, and conceptual development.
Contribute to our culture of learning and lead how the team thinks about AI, not as features, but as systems with behavior and responsibility.
Partner with design systems, research, and engineering teams to elevate quality and create unified experiences.
Influence product strategy through design-led exploration and storytelling that clarifies opportunity spaces.
Champion accessibility, internationalization, and emotional engagement as core aspects of product design.
Hybrid Responsibilities (Both Player & Coach):
Reframe problems and connect dots across product areas, designing beyond feature asks to improve whole journeys.
Lead and facilitate workshops or design sprints to drive alignment and accelerate strategic decision-making.
Collaborate with product, research, and data partners to define success metrics and evaluate impact.
Advocate through example for design’s role in shaping product vision, not just execution.
10+ years of product design experience with a focus on complex, desktop consumer or enterprise applications.
Familiarity with AI-assisted or agent-based experiences, including ambiguity around roles and autonomy.
Proven ability to contribute to high-quality design systems and product experiences at scale.
Exceptional craft: visual clarity, spacing, motion, and interaction polish are second nature.
Strong systems thinking: understands how design decisions cascade across flows, surfaces, and user journeys.
Experience designing for both enterprise and consumer audiences, balancing complexity with clarity.
Deep empathy for diverse, global users and experience designing for accessibility, personalization, and inclusivity.
Curiosity and proactive problem solving: you explore edge cases, anticipate constraints, and think beyond the immediate brief.
Experience working cross-functionally in highly collaborative, iterative environments.
Comfort operating in undefined spaces where patterns do not yet exist
Experience with canvas-based or spatial interfaces
Background in multi-agent systems, orchestration, or workflow automation
Experience designing with structured and unstructured data in the same environment
Familiarity with concepts like memory, context windows, tool use, and agent reasoning
History of shaping 0→1 products or platform capabilities
The base salary for this role ranges from $150,000 - $188,000 + bonus + benefits. Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.