What to Deploy at Every Gate, Every Tier

Find your tier. Find your gate. Deploy the mapped asset and the specific element listed. This is a reference document. Every mapping below uses only published artifacts on junochen.com or verbally deployable context flagged as such.

Holiday weekend timing

Hiring committees are out through Monday. Use the next 72 hours to pre-stage outreach materials by tier. Messages sent Tuesday or Wednesday land in quieter inboxes.

Artifact-State Key

Asset	State	Deploy as
Brand Pulse, Retail Velocity, Carrier IQ	Live interactive demos	Direct link
"Trust Is the New Interface" essay	Published, same domain	Direct link
Alibaba teaser	Public	Direct link
Alibaba full case (incl. AI sourcing loop)	Behind request-access	Walkthrough in live conversation; reference in outreach, link teaser
Thermo Fisher teaser	Public	Direct link
Thermo Fisher agentic vision	Published in essay AND full-case HTML	Direct link via essay
Red Cross teaser	Public	Direct link
Equinox+ teaser	Public	Direct link
Allē teaser	Public	Direct link
TinyFish	⚠️ VERBAL ONLY	Never in written materials. Name in live interviews only.

Tier 1 — AI-Native

Companies like OpenAI, Anthropic, Ramp. Four gates. Compressed timelines. Product-paradigm judgment loads early. They test AI-native thinking at Gate 1, not Gate 3.

Decoded criterion: Do you understand AI as a material with properties — density, latency, uncertainty, drift?

Gate 1 — Recruiter/Search-Partner Screen

Testing: level, public AI proof, why design leadership matters for agentic product risk.

"Trust Is the New Interface" essay. Lead with the essay's existence, not its contents. Say: "I published a design framework for agent-mediated workflows covering five handoffs, trust ladder, four design jobs." Link it. The recruiter forwards the link. That is what this gate is for.
Carrier IQ demo. Name it as proof you've built, not theorized. "I also built three live agentic systems. One resolves five insurance quotes in 90 seconds." The recruiter needs a concrete artifact for intake notes.
Equinox+ teaser. If the recruiter probes build speed or consumer-product range: "Shipped a consumer fitness product 0→1 in three months across five brands, 4.8★ App Store." A second concrete-build proof point that widens the artifact set beyond AI-only work.
TinyFish ⚠️ VERBAL ONLY. If asked about current role: "Head of Product at an enterprise web-agent platform. Product leadership sharpened how I think about commercial outcomes. Deliberate detour. Returning to design leadership with stronger product judgment." Pivot to the essay immediately.

Gate 2 — Hiring-Manager Product Judgment

Testing: can you name AI-native interaction problems before the org has stable language for them.

"Trust Is the New Interface" — five handoffs framework. Walk through Intent-Setting, In-Progress, Output Review, Decision Gate, Loop Feedback as your vocabulary for where agent-mediated workflows break. The hiring manager tests whether you have structural language for problems they're solving ad hoc. The framework is the proof.
"Trust Is the New Interface" — trust ladder. Deploy the watch → verify → delegate progression. AI trust is designed incrementally — watch, verify, delegate. Maps directly to OpenAI's mandate to rethink UI assumptions.
Thermo Fisher agentic vision (via essay). Five-agent supply coordinator with one human gate at batch QA release. Deploy as your answer to "where does agent autonomy end?" The design judgment here: regulatory signature is irreplaceable, so you designed the system around that constraint. This is the rarest credential at this level.
Brand Pulse demo. Link directly. 76 live signals collapsed to one decision surface. The product judgment it demonstrates: you recognized information asymmetry as the core UX problem in agent-mediated surfaces and designed the decision surface to resolve it. That is the hiring manager's daily problem stated as a solved design problem.

Gate 3 — Live Portfolio/Artifact Review

Testing: hands-on system judgment, not linear case-study narrative. AI-native rooms test craft altitude.

Carrier IQ demo — live walkthrough. Walk the five-carrier quote flow in real time. Narrate the autonomy-threshold decisions: why five agents dispatch simultaneously, why Progressive surfaces as best rate, how the human reviews without slowing the loop. They're watching your design decisions about agent orchestration.
Retail Velocity demo — decision-surface architecture. 247 venues, one agent. Walk the venue-scanning and brand-distribution outputs. Lead with the filtering and prioritization logic: what the human acts on versus what the agent collects.
Alibaba AI sourcing agent loop (walkthrough). Walk the full sourcing loop: natural-language procurement brief → agent parsing → real-time traversal across Search and PDP → trust-signal evaluation → autonomous transaction when buying signals clear. Walk it as a designed system with architectural decisions at every layer.
"Trust Is the New Interface" — four design jobs. Use the upstream job, consistency job, handoff job, and trust-ladder job as your organizing frame during Q&A. When asked "how do you think about designing for AI?", the four jobs are the answer.

Gate 4 — Cross-Functional Technical/Product/Safety Panel

Testing: model-mediated workflows, oversight, uncertainty, reversibility, governance.

Thermo Fisher agentic vision — the one human gate. For the engineering evaluator testing where automation must stop. Five autonomous agents, but the regulatory signature is non-negotiable. Lead with this on the oversight question.
Carrier IQ — agent-dispatch architecture. For the product evaluator testing product-level trade-offs. Five simultaneous agent dispatches is a product architecture decision with cost, latency, and reliability implications. Explain why you designed it this way.
"Trust Is the New Interface" — Decision Gate handoff. For the safety/trust evaluator testing reversibility and human override. The Decision Gate is the moment the system pauses for human judgment before irreversible action. Cite the Thermo Fisher QA gate as the implementation.
TinyFish ⚠️ VERBAL ONLY. If the panel asks about enterprise agent platforms: "I led product at an enterprise web-agent platform. I can speak to the commercial and technical constraints but can't share artifacts." Redirect to Carrier IQ or Brand Pulse.

Tier 2 — Growth-Stage Regulated

Companies like Gusto, Headway, Ramp (in its regulated-finance mode). Five gates. Consequence literacy is the filter. They're asking "will you import process that slows us down?" Prove your default mode dissolves constraints into the product.

Decoded criterion: Can you ship at our speed without breaking trust?

Gate 1 — Recruiter Screen

Testing: domain adjacency, leadership level, high-stakes workflow fit.

Thermo Fisher teaser. Lead with: "Pharma supply-chain platform, zero to live in twelve months, six partners, 100% adoption, $20M margin." Link the teaser.
Red Cross teaser. Second proof point: "Replaced six legacy systems with one platform, deployed nationally during a live disaster-response cycle." Two regulated-domain proof points for intake notes.

Gate 2 — Hiring-Manager Consequence Screen

Testing: what happens when automation or workflow design is wrong.

Thermo Fisher — exception-first methodology. mySupply was designed exception-first. Exceptions surfaced before they became failures. The $20M margin recovery happened because the system caught problems before partners did. The hiring manager tests whether you understand that payroll errors break trust, insurance errors deny care, finance errors lose money.
Red Cross — 6→1 consolidation during live operations. You couldn't pause disaster relief to migrate systems. The platform had to work while people were receiving aid. $847K disbursed, 1,689 cases in two weeks. Consequence literacy in practice.
"Trust Is the New Interface" — consistency job. Quote the essay: "Accuracy is what the model achieves. Consistency is what the design delivers." The hiring manager needs to hear that you distinguish between model performance and user-facing reliability.

Gate 3 — Portfolio/Business-Impact Review

Testing: exception-first workflow design, adoption, margin, CAC, operational throughput.

Thermo Fisher full case — walkthrough. Walk the exception-first design methodology: compliance embedded in the transaction workflow so it never becomes a review gate. Metrics: $20M+ margin, 6 partners, 100% adoption, 83% IRR.
Allē — dual-surface architecture. 30M members, 40K practices, two surfaces (consumer iOS + provider dashboard). Lead with business metrics: 3.2× redemption, CAC from $92 to $42, 47% reactivation. The dual-surface pattern maps directly to Headway's provider + patient surfaces and Gusto's employer + employee surfaces.
Alibaba — $50B+ GMV platform metrics. +20% daily transactions, +2.2pt NPS, -47% buyer-reported security concerns. Proof that design leadership moves business metrics at scale.

Gate 4 — Cross-Functional Product-Engineering-Risk Panel

Testing: simplification under constraints, error paths, escalation, implementation feasibility, speed.

Thermo Fisher — partner adoption narrative. For the engineering evaluator. Six partners across nine manufacturing sites, all adopted within twelve months. Walk the implementation sequence: partner-specific constraints without system fragmentation.
Red Cross — national deployment in one disaster cycle. For the product evaluator. Speed with consequences. Harder and rarer than speed without them.
Allē — multi-role permission architecture. For the risk/compliance stakeholder. One record, multiple role-appropriate views, permission-aware surfaces. Consumer sees redemption; provider sees practice-level analytics.
Equinox+ — 0→MVP in 3 months. Deploy if the panel probes raw velocity or consumer-product range. 0→1 across five fitness/wellness brands, 4.8★ App Store. Proves speed without process overhead.

Gate 5 — Executive/Founder Final

Testing: will design leadership accelerate the business without weakening trust or compliance.

Alibaba — structural trust gap narrative. Named a structural problem, built the research case across 32 interviews, secured executive buy-in, led three cross-functional sprints. The executive tests whether you can identify and sell a strategic design initiative.
Thermo Fisher — $20M margin, 83% IRR. Financial outcomes. Lead with these, not methodology.
TinyFish ⚠️ VERBAL ONLY. Standard reframe if asked about product-leadership experience. Then cite Alibaba and Thermo Fisher financial metrics as proof of commercial judgment.

Tier 3 — Enterprise Platform

Companies like Atlassian, Salesforce, large-scale B2B platforms. Five gates. The triad interview is the differentiating stage. Engineering and Product counterparts evaluate trade-offs, collaboration, and the role of design.

Decoded criterion: Can you move a complex organization without owning it?

Gate 1 — Recruiter/Search-Partner Screen

Testing: level, scope, scale, reporting-line fit.

Alibaba teaser. Lead with title and scale: "Head of Design & Research, $50B+ GMV B2B platform." Link the teaser. The $50B+ GMV and Head of Design title clear the level bar for any enterprise recruiter screen without support.
Thermo Fisher teaser. Second proof point if the recruiter probes scope range: "Also built a pharma supply-chain platform 0→1, six enterprise partners, twelve months." Shows you can create platform structure, not only operate within one. Two lines for intake notes are stronger than one.

Gate 2 — Hiring-Manager Scale Screen

Testing: structural platform problems, mandate-building, cross-functional influence.

Alibaba — structural trust gap identification. 32 stakeholder interviews, built the business case, secured executive buy-in before any design work began. The hiring manager tests whether you diagnose organizational and product problems before anyone hands you a brief.
Thermo Fisher — 0→1 platform build. Built a platform that didn't exist. Six partners, nine sites, twelve months. Tests whether you can create structure where there is none.

Gate 3 — Portfolio Review

Testing: leadership, team shaping, product-system coherence, business impact, design quality. 45-minute presentation + Q&A.

Alibaba full case — primary. Full arc: problem identification (trust gap), research (32 interviews), executive alignment, three cross-functional sprints, outcomes (+20% transactions, +2.2pt NPS, -47% security concerns). Emphasize how you led the team and shaped the result. Management candidates are evaluated on exactly this.
Thermo Fisher full case — secondary. 0→1 build: exception-first methodology, partner-adoption sequence, margin recovery. Emphasize the business value the platform created.
Allē — systems evidence (third case if needed). 30M members across consumer and provider surfaces. Lead with systems architecture: one loyalty record, two surface-appropriate views, permission-aware visibility.

Gate 4 — Cross-Functional Triad/Panel

Testing: trade-offs, collaboration, technical feasibility, product thinking, role of design.

For Engineering evaluator: Thermo Fisher — partner integration architecture. Six partners with different technical systems, one unified platform. Walk the trade-offs between standardization and partner-specific accommodation.
For Product evaluator: Alibaba — how design changed product direction. The trust gap was a product-strategy insight surfaced by design research. +20% transactions was a product outcome driven by a design-led initiative.
For design peer: Red Cross — craft under operational constraint. 6→1 system consolidation, national deployment, $847K disbursed. Craft bar and quality under real constraints.
"Trust Is the New Interface" essay. If anyone on the panel evaluates AI readiness or future-state thinking, link the essay. The four design jobs framework demonstrates structural thinking about the next generation of platform challenges.

Gate 5 — Values/Executive Calibration

Testing: leadership behavior, cross-org trust, culture alignment.

Red Cross — mission-driven deployment narrative. $847K disbursed to disaster survivors. 1,689 cases in two weeks. National deployment during a live disaster-response cycle. Enterprise executives at this stage are separating genuine mission orientation from performative alignment, and this case resolves that question.
Alibaba — cross-functional sprint leadership. Three sprints, multiple functions, executive stakeholders. Evidence of cross-org trust-building at $50B+ scale.

Tier 4 — Healthcare and Vertical SaaS

Companies like Maven Clinic, Headway, Aurora Solar. Five gates. The differentiating stage is the domain-stakeholder panel. Clinical, provider-operations, insurance, or GTM stakeholders test whether you understand their world.

Decoded criterion: Do you treat domain constraints as the design material?

Gate 1 — Recruiter Screen

Testing: domain adjacency, title level, regulated/high-consequence experience.

Red Cross teaser. Lead with: "National disaster-relief platform, six legacy systems to one, deployed during live operations, $847K disbursed." Healthcare recruiters recognize disaster relief as high-consequence, multi-stakeholder, operationally constrained.
Thermo Fisher teaser. Second proof point: "Pharma supply chain, 0→1, six partners, FDA-adjacent regulatory constraints." Pharma maps to healthcare immediately.

Gate 2 — Hiring-Manager Domain Screen

Testing: role-specific clarity, correctness, escalation, trust between expert and non-expert users.

Thermo Fisher — exception-first methodology. Clinical and provider workflows cannot fail silently. mySupply surfaced exceptions before they became failures. Transfers directly to clinical documentation, insurance verification, provider billing.
Allē — expert/consumer dual surface. 40K practices (expert users) + 30M members (consumer users). Structural proof you can design for the trust relationship between provider and patient, domain expert and end user.
Red Cross — multi-stakeholder workflow under time pressure. Caseworkers, survivors, six legacy data sources, operational compliance requirements. Multiple user types with different expertise levels operating under operational pressure.

Gate 3 — Portfolio Review

Testing: role-specific workflow architecture, multi-role surfaces, adoption, measurable outcomes.

Allē full walkthrough — lead case. Dual-surface architecture: consumer iOS (30M members, 3.2× redemption, $42 CAC) and provider dashboard (40K practices, 47% reactivation). Emphasize multi-role architecture: one record, two surfaces, permission-aware visibility. Maps directly to patient/provider, member/practice, or user/operator surfaces.
Thermo Fisher full walkthrough — secondary case. 0→1 build, partner adoption (100% across six partners), exception-first methodology. Metrics: $20M+ margin, 83% IRR.
Red Cross — third case. 6→1 system consolidation, 1,689 cases in two weeks, $847K disbursed. Workflow architecture replacing six disconnected systems.
Equinox+ — fourth-case option if panel probes consumer health-adjacent range. 0→1 across five fitness/wellness brands in 90 days, 4.8★ App Store. Demonstrates speed and consumer-product craft in a health-adjacent vertical.

Gate 4 — Domain-Stakeholder Panel

Testing: do you understand their domain constraints as design material, not obstacles.

For clinical/provider-operations: Thermo Fisher agentic vision — the one human gate. The five-agent supply coordinator runs continuously across nine manufacturing sites, but one human gate remains non-negotiable at batch QA release because a regulatory signature is irreplaceable. You designed the system so that constraint accelerated quality assurance rather than slowed operations. Healthcare domain stakeholders need to hear exactly this: regulatory requirements absorbed into the design, shaping it.
For insurance/compliance: Red Cross — six legacy systems consolidated into one disbursement platform during live disaster operations. $847K disbursed, 1,689 cases processed in two weeks. Deploy as proof that you can design operational workflows that unify fragmented systems under real-time pressure without service interruption.
For GTM: Allē — $42 CAC, 3.2× redemption, 47% reactivation. Lead with CAC reduction ($92→$42) and the redemption multiplier.
"Trust Is the New Interface" — trust ladder. If the panel includes anyone evaluating AI integration for clinical or provider workflows: deploy the watch → verify → delegate progression. Maven's posting explicitly asks for AI-native design practice and agent-driven workflows.

Gate 5 — Executive/Final Mandate Check

Testing: can design affect company-level trust, conversion, access, or OKR-tied performance.

Alibaba — company-level metrics. +20% daily transactions, +2.2pt NPS at $50B+ GMV. Company-level metrics driven by a design-led initiative. The executive is testing for exactly this: proof that design leadership moves the numbers their board tracks.
Thermo Fisher — $20M margin, 83% IRR. Financial outcomes at executive altitude.
Allē — CAC and redemption. $42 CAC (from $92), 3.2× redemption. Unit-economics metrics executives evaluate directly.

Reverse Index by Asset

Alibaba B2B Platform ($50B+ GMV, +20% transactions, +2.2pt NPS) AI-native G3: AI sourcing agent loop walkthrough · Growth G3: platform-scale business metrics (link teaser) · Growth G5: structural trust gap, executive buy-in (walkthrough) · Enterprise G1: title + scale proof (link teaser) · Enterprise G2: structural problem identification (walkthrough) · Enterprise G3: primary case (walkthrough) · Enterprise G4: design-changed-product-direction, Product evaluator (walkthrough) · Enterprise G5: cross-functional sprint leadership (walkthrough) · Healthcare G5: company-level metrics (link teaser)

Thermo Fisher mySupply ($20M+ margin, 6 partners, 100% adoption, 83% IRR) Growth G1: regulated-domain proof (link teaser) · Growth G2: exception-first methodology (walkthrough) · Growth G3: full case (walkthrough) · Growth G4: partner adoption, Engineering evaluator (walkthrough) · Growth G5: financial outcomes (link teaser) · Enterprise G1: 0→1 platform scope proof (link teaser) · Enterprise G2: 0→1 platform build (walkthrough) · Enterprise G3: secondary case (walkthrough) · Enterprise G4: partner integration trade-offs, Engineering evaluator (walkthrough) · Healthcare G1: pharma domain adjacency (link teaser) · Healthcare G2: exception-first methodology (walkthrough) · Healthcare G3: secondary case (walkthrough) · Healthcare G5: financial outcomes (link teaser)

Thermo Fisher Agentic Vision (five-agent coordinator, one human gate) AI-native G2: autonomy-threshold credential (link via essay) · AI-native G4: oversight proof, Engineering evaluator (link via essay) · Healthcare G4: regulatory constraint as design material, clinical/provider-ops (link via essay)

American Red Cross ($847K disbursed, 6→1 systems, national deployment) Growth G1: regulated-domain proof (link teaser) · Growth G2: consequence literacy under live operations (walkthrough) · Growth G4: speed under constraint, Product evaluator (walkthrough) · Enterprise G4: craft under constraint, design peer (walkthrough) · Enterprise G5: mission-driven values (walkthrough) · Healthcare G1: high-consequence domain proof (link teaser) · Healthcare G2: multi-stakeholder workflow (walkthrough) · Healthcare G3: third-case option (walkthrough) · Healthcare G4: system consolidation under live operations, insurance/compliance (walkthrough)

Equinox+ (0→MVP 3 months, 5 brands, 4.8★) AI-native G1: build-speed proof (link teaser) · Growth G4: raw velocity proof (link teaser) · Healthcare G3: consumer health-adjacent range (link teaser)

Allē (30M members, 3.2× redemption, $42 CAC, dual-surface) Growth G3: dual-surface architecture + business metrics (walkthrough) · Growth G4: multi-role permission architecture, risk/compliance (walkthrough) · Enterprise G3: third-case systems evidence (walkthrough) · Healthcare G2: expert/consumer dual surface (walkthrough) · Healthcare G3: lead case (walkthrough) · Healthcare G4: CAC and redemption, GTM evaluator (walkthrough) · Healthcare G5: unit-economics metrics (walkthrough)

"Trust Is the New Interface" Essay (five handoffs, trust ladder, four design jobs) AI-native G1: essay existence as screen-clearing signal (direct link) · AI-native G2: five handoffs, trust ladder (direct link) · AI-native G3: four design jobs as organizing frame (direct link) · AI-native G4: Decision Gate handoff, safety/trust evaluator (direct link) · Growth G2: consistency job (direct link) · Enterprise G4: AI readiness, if relevant (direct link) · Healthcare G4: trust ladder for AI integration (direct link)

Carrier IQ Demo (5 carriers, 90 seconds) AI-native G1: concrete built-artifact proof (direct link) · AI-native G3: live walkthrough, autonomy-threshold narration (direct link) · AI-native G4: agent-dispatch architecture, Product evaluator (direct link)

Retail Velocity Demo (247 venues, one agent) AI-native G3: decision-surface architecture walkthrough (direct link)

Brand Pulse Demo (76 signals → one surface) AI-native G2: information-asymmetry proof (direct link)

TinyFish ⚠️ VERBAL ONLY AI-native G1: current-role context if asked · AI-native G4: enterprise agent platform context if asked · Growth G5: commercial judgment context if asked

Things to follow up on...

Gusto's service-design posting: Gusto explicitly says poorly designed handoffs leave customers absorbing the cost when escalation ownership, AI failure paths, or cross-system exceptions are unclear, which is unusually strong external validation for the consistency job and exception-first framing.
Headway's split mandate signal: The same company has two open design-director roles with radically different posting language, one AI-native provider workflow transformation and one insurance/design-systems operating consistency, so don't assume company-level culture maps uniformly to role-level requirements.
Overreliance research sharpens the trust ladder: Chen, Liao, Vaughan, and Bansal found that feature-based explanations increased overreliance while example-based explanations improved performance, which gives the trust ladder's verify stage a concrete research anchor when panels probe how you'd design AI explanation surfaces.
Atlassian's triad interview structure: Atlassian's public design-interview guide confirms that senior IC and manager candidates meet Engineering and Product counterparts in a dedicated triad stage focused on trade-offs, collaboration, and the role of design, making it the best-documented enterprise panel format to prepare against.