Career ladder / Job-description reference · 2026

AI makes production faster. Good judgment matters more.

The shift with AI is simpleDesign teams will still make things. But more of their value will come from choosing the right problem, guiding the work, checking the result and building better ways to deliver it.

Choose your path
What changes for the IC track

AI shifts the centre of gravity from making every artefact yourself to framing the right problem, guiding people and AI, and judging what is good enough to trust. As you grow, your impact moves from owning the work to shaping shared systems, decisions and standards.

What changes for the Manager track

AI shifts management from allocating work and reviewing output to redesigning how the team works, learns and makes decisions. As you grow, your role expands from coaching individuals to shaping the operating model, culture and accountability around AI.

Mid

Own the work

AI-augmented Product Designer

Produces deliverables→Directs and checks AI-assisted work
Highest task exposure

Stays important

  • Interaction and visual fundamentals
  • User empathy, accessibility and collaboration
  • Explaining why a direction is right

New and growing

  • Giving AI clear context and direction
  • Functional prototyping and code literacy
  • Finding bias, errors and edge cases 4

Starts to fade

  • Routine screen and variant production
  • First drafts of copy, summaries and specs
  • Pixel execution as the main contribution
New core skill · Taste and rejection: spotting work that looks polished and believable, but is still wrong.
In practiceMaya is asked to improve an EV charging flow. Before, she spent a day drawing six options. Now AI gives her twelve starting points. Her value is in rejecting ten, improving two and testing them with drivers.

Design Manager

Manages output quality→Guides a team of people working with AI
Moderate role exposure

Stays important

  • Psychological safety, trust and feedback
  • Performance care and talent development
  • Team clarity and healthy collaboration

New and growing

  • Showing responsible AI practice 2
  • Coaching people to check the work
  • Protecting time to learn the craft

Starts to fade

  • Allocating every small production task
  • Reviewing only visible design output
  • Treating activity as performance
New core skill · Trust calibration: helping each person find the right balance between trusting AI and questioning it.
In practiceJonas sees that one designer accepts every AI answer, while another avoids the tools. He does not give them the same training. He helps each person build the right habits and confidence.

AI-assisted Design Ops Coordinator

Runs the process→Builds a smoother way for work to flow
High task exposure

Stays important

  • Tool access and administration
  • Meeting and critique facilitation
  • Clear, findable documentation

New and growing

  • AI-assisted intake and triage
  • AI-supported documentation upkeep
  • Checking tools before the team adopts them

Starts to fade

  • Manual scheduling and reminders
  • Manual library housekeeping
  • Static, one-time onboarding decks
New core skill · Build the intake, do not become the intake: automate the chasing, then fix why work arrives broken.
In practiceElena used to chase people for missing files and unclear briefs. Now the intake flow does the chasing. She spends her time finding why the same gaps keep appearing and improving the system.

Senior

Shape the system

Senior Design Orchestrator

Owns a feature or flow→Owns a problem space across people and AI
Moderate task exposure

Stays important

  • Framing unclear problems
  • Systems and journey thinking
  • Influence across product and engineering

New and growing

  • Guiding multi-step agent work 3
  • Reusable context and clear checks
  • Prototyping across design and code

Starts to fade

  • Slow handoffs between disciplines
  • One polished direction before testing
  • Rebuilding context for every project
New core skill · Systems fluency: balancing customer, business, technical and ethical needs at the same time.
In practiceMaya notices that app, car and web teams are solving charging in different ways. She builds one shared model and a working prototype. The teams can now test the whole journey, not three separate screens.

Senior Design Manager

Protects team capacity→Redesigns how the team creates capacity
High organizational stakes

Stays important

  • Talent judgment and succession
  • Cross-functional negotiation
  • Quality standards and team culture

New and growing

  • Redesigning roles and workflows 2
  • Shared knowledge and clear AI guardrails
  • Measuring decisions, reuse and learning

Starts to fade

  • Headcount as the main capacity lever
  • One process for every kind of problem
  • Design-file review as the only quality check
New core skill · Team design under uncertainty: changing roles, levels and hiring around judgment, not output volume.
In practiceJonas sees three teams repeat the same research and setup work. He creates shared context, common review points and a small set of trusted agents. The gain is not more screens. It is faster, clearer decisions.

Design Systems & Operations Lead

Owns the process→Designs how people and AI work together
High systems leverage

Stays important

  • Design-system stewardship
  • Research repository governance
  • Cross-team process design

New and growing

  • Agent-assisted system audits and QA 8
  • Automated documentation and versioning
  • Clear checks for AI-generated design work

Starts to fade

  • Checking every file by hand
  • One-off tooling requests
  • Static governance documents
New core skill · Write for two readers: documentation must make sense to a person and to an agent reading it cold.
In practiceElena used to check every file for design-system compliance. Now an agent does the first pass using her rules. She focuses on the tricky cases, improves the rules and helps teams understand why they matter.

Leadership

Transform the organization

Staff / Principal Experience Architect

Sets the craft standard→Sets the judgment standard
Lower task exposure

Stays important

  • Strategic taste and judgment 6
  • Experience vision and coherence
  • Executive influence without authority

New and growing

  • Making knowledge useful to people and agents
  • Principles for human–agent experiences
  • Shared ways to judge quality and risk

Starts to fade

  • Being the hands-on expert for everything
  • Strategy delivered mainly as presentations
  • Influence through owning the artifact
New core skill · Knowing what to trust: helping the organization see when AI is wrong, not only spotting it personally.
In practiceMaya no longer reviews every charging screen. She defines the principles, evidence and warning signs that teams should use. Her judgment now travels through the organization, even when she is not in the room.

Director / VP of Design

Asks for design’s seat→Defines what design means after AI
Existential design stakes

Stays important

  • Purpose, culture and design ambition
  • Influence across the whole company
  • Accountability for customer outcomes

New and growing

  • Planning teams of people and agents 3
  • AI investment, risk and accountability
  • Turning speed into better products

Starts to fade

  • Annual org charts as the main strategy
  • Output volume as proof of design value
  • Central approval of every decision
New core skill · Setting the story: aligning design, product, engineering and leaders on where human judgment belongs.
In practiceJonas is asked to cut design time by 30%. He reframes the goal. AI should remove repeat work, but the saved time goes into customer learning, better prototypes and harder product questions—not simply more output.

Head of Design Operations

Runs the operations function→Builds the infrastructure for people and AI to work at scale
High governance stakes

Stays important

  • Operating-model strategy
  • Vendor and budget stewardship
  • Quality, privacy and compliance

New and growing

  • AI policy and risk for design tools 7
  • Shared context that agents can use
  • Measuring the value of AI-supported operations

Starts to fade

  • Reactive tool buying
  • Ops treated only as support
  • Scaling operations mainly through headcount
New core skill · Decide what agents can read: choose which design knowledge becomes machine-readable, and which stays private or human-only.
In practiceElena’s budget talks used to focus on tools and licences. Now she also asks what knowledge agents need, who can access it and how the company will know the system is safe and useful.

Where do you create value?

You are on the IC path. Your level describes the size of your impact. Your work context describes what you apply that impact to. These are common homes, not fixed boxes.

Product / Experience

Are we building the right end-to-end experience—and delivering it well across products, features and touchpoints?

MidProduct / Experience DesignerSeniorSenior Product / Experience DesignerLeadershipStaff / Principal Experience Architect

Example: Maya connects the charging journey across the car, app, home and support. She then stays close to delivery so the experience holds together.

System / Platform

Are teams building from coherent and reusable foundations?

MidSystems Product DesignerSeniorSenior Design Systems DesignerLeadershipPrincipal Systems / Platform Designer

Example: Maya defines reusable charging states, patterns and behaviours that people and agents can apply.

Operations / Enablement

Can the design organization do good work clearly and repeatedly?

MidDesign Ops CoordinatorSeniorSenior Design Programme LeadLeadershipStaff / Principal Design Operations

Example: Elena improves how briefs, research, tools, learning and decisions move between teams.

Where does your team create value?

You are on the People Manager path. The leadership skills remain similar, but the team’s purpose changes what you protect, grow and hold accountable.

Product / Experience

Help teams own customer outcomes across products, features and touchpoints.

MidProduct / Experience Design ManagerSeniorSenior / Group Experience Design ManagerLeadershipDirector / VP Product & Experience Design

Example: Jonas aligns teams around one charging experience, gives each team clear ownership and protects coherence through delivery.

System / Platform

Help reusable foundations operate as a product, not a side project.

MidDesign Systems ManagerSeniorSenior Platform Design ManagerLeadershipHead / Director of Design Systems

Example: Jonas funds system work, balances adoption with contribution and joins design with engineering.

Operations / Enablement

Help the design organization learn, coordinate and scale responsibly.

MidDesign Operations ManagerSeniorSenior Design Programme ManagerLeadershipHead / Director of Design Operations

Example: Jonas builds the team that owns tooling, programmes, AI fluency, governance and operational learning.

How will people learn the craft?

AI will take on many early tasks: making variants, writing specs and drafting flows. But those tasks also helped designers build taste. If we remove the practice, we need to replace the learning.

Keep useful practiceUse selected production work to train judgment, not to create cheap output.
Learn through critiqueAsk people to explain, reject and improve AI work with an experienced designer.
Bring ambiguity forwardLet mid-level designers frame and judge problems, not only execute them.

What the market is actually signalling

Current public evidence supports the direction of travel, although it does not amount to a shared industry ladder. These are traceable hiring and operating signals—not invented company practices.

OpenAI

Current JD

End-to-end ownership remains. The bar expands to ambiguous systems, technical fluency, learning loops, strategy influence, trustworthy interaction models and high craft.

Engineering Acceleration designer ↗

Lovable

Current JD

An AI-native company still explicitly hires for broad design craft, end-to-end project leadership, close engineering partnership and exceptional taste.

Product Designer ↗

Zalando

Current JD

Principal design is explicitly “a leadership position with individual contributor scope,” spanning problem definition, solution, execution and mentoring.

Principal Product Designer ↗

Airbnb

Current JD

Staff Experience Designer is explicitly an IC role reporting to a Manager or Director—evidence that senior influence does not require people management.

Staff Experience Designer ↗

Shopify

Talent model

A six-month design apprenticeship uses senior mentorship and two rotations. That is a concrete response to preserving early-career learning pathways.

Design careers ↗

Wolt

Practice

Autonomous multidisciplinary teams retain ownership while AI is explored to scale tone, UX patterns, terminology and design-system consistency.

Content design and AI ↗

Deliveroo + DoorDash group

Archived JD

A Staff Design Programme Manager role covered design learning, career frameworks, tooling and responsible AI fluency across Deliveroo, DoorDash, Wolt and 7Rooms.

Staff Design Programme Manager ↗

Evidence boundary: Public job descriptions reveal what companies currently reward; they do not disclose the full internal leveling rubric. The “enduring / emerging / fading” model remains a synthesis across these signals and broader workforce research.

What this means for a career ladder

Start with IC or People Manager. Define expectations by level. Then show how they apply in the person’s work context. Do not turn every discipline into a separate ladder.

A better evaluation question

Move from “What did you personally produce?” to “What became possible and clearly better because of your judgment?”