[Hiring] Forward Deployed Product Design Lead @Modus Create

Role Description

We are looking for a Forward Deployed Product Design Lead to turn complex product opportunities into coherent, buildable, and production-ready experiences.

• You’ll work directly with client leaders, users, product teams, and engineers—often in environments where both the problem and path forward are still taking shape.
• You’ll clarify what matters, shape the end-to-end experience, and use AI-assisted development tools to move rapidly from ideas and workflows to sophisticated coded prototypes.
• This is a hands-on role at the intersection of experience strategy, product design, consulting, and software delivery.
• You’ll lead through the work itself: facilitating decisions, modeling complex systems, prototyping in code, creating implementation-ready context, and staying closely involved through production.

Qualifications

• Significant experience designing and delivering complex digital products, ideally within consulting, enterprise, B2B, or workflow-heavy environments.
• Strong foundations in product design, interaction design, information architecture, research, service design, accessibility, and design systems.
• A portfolio of shipped products demonstrating meaningful involvement from early product framing through production.
• Demonstrated ability to turn ambiguous business and user challenges into clear product models, workflows, priorities, and interfaces.
• Strong proficiency with Figma and modern prototyping approaches.
• Experience creating coded prototypes or production interfaces using HTML, CSS, JavaScript or TypeScript, and modern frameworks such as React.
• Fluency with AI-assisted development tools such as Claude Code, Cursor, GitHub Copilot, or comparable environments.
• Ability to create sophisticated interactive prototypes using real or representative data to validate product concepts with users and stakeholders.
• Experience designing complete workflows, considering roles, handoffs, data, permissions, exceptions, edge cases, and failure states.
• Working knowledge of component libraries, responsive design, APIs, data models, version control, and modern software delivery practices.
• Ability to translate experience intent into clear flows, behaviors, content guidance, accessibility requirements, acceptance criteria, and implementation context.
• Experience structuring design and product decisions so they can be effectively consumed by both engineers and AI coding agents.
• Experience collaborating directly with engineering teams throughout implementation, design QA, release, and iteration.
• Strong facilitation, communication, consulting, and stakeholder-management skills.
• Ability to communicate product and experience decisions confidently with both executive and technical audiences.
• Comfortable working visibly and iteratively with clients rather than relying on a traditional design handoff.

Requirements

• Experience taking AI-enabled or data-intensive products from concept through production.
• Strong understanding of human-AI interaction, including oversight, confidence, escalation, transparency, and failure recovery.
• Ability to navigate an existing codebase and contribute production-quality frontend work when appropriate.
• Experience with agentic development workflows or designing context and specifications for AI coding agents.
• Experience using analytics, user feedback, and operational signals to continuously improve shipped products.
• Experience helping organizations adopt AI-enabled product, design, or delivery practices.
• Experience working across both greenfield and brownfield products, including internal and customer-facing experiences.
• Experience supporting client pursuits through rapid concepts and prototypes that make opportunities tangible early in the sales or discovery process.

Benefits

• Turning ambiguous client challenges into clear, tangible, and buildable product experiences.
• Moving quickly from stakeholder conversations and workflows to working prototypes.
• Combining product strategy and experience design with hands-on technical experimentation.
• Using AI-assisted tools and coded prototyping to accelerate product discovery and delivery.
• Working directly with clients, engineers, product leaders, and users rather than operating as a downstream design function.
• Designing beyond individual screens to solve complete workflows, systems, and real-world operational challenges.
• Staying involved from early product shaping through implementation and production.
• Helping define new ways for designers, engineers, and AI tools to work together effectively.