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Product Design Lead - Enterprise Systems & AI Workflows
Munich, Germany

Designing clarity into complex product systems.

I'm a Product Design Lead working on products where business logic, data, operations, and human judgment meet across embedded interfaces, mobility services, enterprise tools, design systems, and AI-supported workflows.

My work focuses on making complex systems easier to understand, trust, and operate. That means clarifying the model behind the interface, shaping better decision support, and creating product foundations that help teams move with more confidence.

Low-poly portrait of Miguel Ruiz-Hansen

Base

Munich, Germany

Working from Munich with an international product-design background.

Training

Aarhus University

M.Sc. in IT Product Design and Development.

Through-line

Clarity under constraint

Embedded, service, and enterprise systems with real complexity underneath.

Domain context

Embedded interfacesMobility servicesEnterprise toolingRevenue managementDesign systemsAI-supported workflows

My work has moved across different domains, but the recurring pattern is the same: complex systems need clearer models, better decision support, and interfaces people can trust under pressure.

Design values

Clarity, judgment, and control under constraint.

These principles guide my work when the interface is only the visible layer and the real challenge is logic, trust, ownership, and decision quality.

01

Design value

Clarity under complexity

I reduce dense logic into structures people can understand, navigate, and act on without hiding the complexity that matters.

02

Design value

Decision quality over interface output

I judge design by whether it improves the quality, speed, and confidence of decisions, not only by whether the interface looks polished.

03

Design value

Systems before screens

I design patterns, models, and foundations that make many good product decisions easier, not just individual screens.

04

Design value

Trust through transparency

I make system behavior, assumptions, and consequences visible so people can understand why something is happening.

05

Design value

Human control in intelligent systems

AI and automation should support human judgment, with clear accountability, explainability, and the ability to intervene.

06

Design value

Rigor before aesthetics

I care about craft, but visual quality should strengthen comprehension, confidence, and intent.

07

Design value

Challenge before commitment

I test assumptions early, clarify the real problem, and avoid building polished solutions around weak diagnoses.

08

Design value

Design as organizational leverage

I value design work that improves how teams think, align, decide, and deliver, especially when complexity scales.

Working style

How I work.

I work best where the problem is not fully clear yet, the system has real constraints, and the interface needs to carry more than a simple task flow.

01

Clarify the model before expanding the interface

Before adding screens, states, or features, I try to understand the underlying model: the logic, decisions, constraints, dependencies, and failure modes the product has to support.

02

Prototype the logic, not just the happy path

I use prototypes to test how the product behaves under pressure: edge cases, ambiguous states, empty states, competing priorities, and moments where users need to understand why something happened.

03

Make tradeoffs visible early

Complex systems always contain tradeoffs. I try to surface them before they become expensive: speed and control, automation and accountability, consistency and flexibility.

04

Stay close to delivery constraints

Design quality depends on implementation reality. I work close to engineering, product, and operations so design intent survives contact with the system, the roadmap, and the team building it.

Most useful in

Where I create the most value.

I'm most useful in product environments where complexity is not an edge case. It is the material the product is made from.

01

Value area

Complex product logic

Clarifying models, states, dependencies, and interaction structures.

02

Value area

AI-supported workflows

Designing for trust, control, explainability, and human accountability.

03

Value area

Enterprise and internal tools

Turning operational pressure into interfaces teams can actually use and maintain.

04

Value area

Design systems

Creating reusable foundations that improve consistency, speed, and product quality.

05

Value area

Ambiguous product areas

Diagnosing the real problem before teams commit to expensive solutions.

Contact

Let's talk if the work is complex.

I'm especially interested in product environments where design has to create clarity across systems, teams, and decisions: enterprise tools, decision-support products, AI-assisted workflows, design systems, and operational software.

I do my strongest work on teams that need to turn dense product logic, ambiguous requirements, and operational constraints into clearer product direction.