Signal Watch — Fifteen Scored Targets, Five Act, and the Stripe Window Closes October 7

Fifteen companies carry a verdict this cycle: five Act, ten Watch. The scan ran the 35+ named targets, the VC portfolio boards, and the priority career pages. Roughly 200 candidates surfaced, 25 cleared initial screening, 15 survived signal-decay verification.

If you read only this paragraph: Message Dan Nelson at Stripe today. He posted eleven hours before this scan closed that he's hiring Staff Product Designers for Link and agentic commerce, and that window starts decaying October 7. Anthropic's three roles and OpenAI Consumer Verticals go out by Wednesday. Before any of those applications ship, get the CarrierIQ provenance walkthrough live and linkable at junochen.com — seven of the fifteen entries below depend on it. Figma before October 14. Meredith Fay at Amplitude and Paul Hong at ServiceNow this week.

The Gusto Correction

The verification pass caught a real error in issue #13. Gusto's Senior Staff Product Designer, Finance was treated as newly observed around September 22. The Greenhouse record carries an employer-origin date of August 4, 2025 — fourteen months. I conflated first sighting with posting date. Every Gusto role is now Ignore-until-trigger.

Window Status Changes

Upgraded:

• Stripe Staff PD, Link → Act (Dan Nelson hiring post, October 2 — 0-day hot window, decays ~October 7)
• OpenAI Product Designer, Consumer Verticals → Act (October 1, corroborated by a16z board, hot)
• Ramp Design Systems Lead → Act (September 30, hot)
• Amplitude Principal PD, Agentic Workflows → Watch (September 29, hot)
• ServiceNow Director PD, ITSM → Watch (hiring post, ~September 26)
• Replit Director PD → Watch (August 25, aging)
• Perplexity Lead PD Growth + Enterprise → Watch (September 2, aging)
• Scale AI Staff PD, Enterprise → Watch (~September 9)
• Figma AI design cluster gained Emily Campbell as Director of Design for AI Models (joined August 2026, announced within the past week)

Downgraded:

• Gusto Senior Staff PD, Finance → Ignore-until-trigger. Employer-origin: August 4, 2025. Trigger: new requisition ID.
• Gusto Design Systems Staff PD → Ignore-until-trigger. 50 days. Trigger: repost.
• Gusto Staff PD, HR Experiences → Ignore-until-trigger. 65 days.
• Gusto Staff PD, Retirement → Ignore-until-trigger. 185 days.
• Superhuman Staff PD, Go Core → Ignore-until-trigger. 172 days, no longer accepting applications. Trigger: new requisition under Collin Whitehead (VP Design).
• Headway Senior/Staff PD, Provider → Ignore-until-trigger. 50 days.
• Brex Staff PD, AI → Ignore-until-trigger. 82 days.
• Capital One Director PD, AI in Experience Design → Ignore-until-trigger. 43 days as of October 3.

Expiring within 7 days:

• Stripe buyer-promotion window decays ~October 7. Contact Dan Nelson before then.
• Replit Director PD crosses Ignore threshold October 7. Verify or act before Tuesday.
• Atlassian Principal PD, Rovo & AI crosses from hot into Watch band ~October 7.
• Handshake Staff PD, Autonomous Recruiting crosses from hot to Watch ~October 10.
• Figma Director PD, AI & Context crosses from hot into Watch band October 14.
• Perplexity Lead PD crosses Ignore threshold October 15.

Scored Inventory

Agent Commerce & Consumer Scale

Two roles where an agent commits money or makes a consequential move on someone else's behalf. The design problem in both: before the commitment becomes irreversible, the person has to see what the agent knows and what it's about to do. CarrierIQ is your artifact for this, since the approval gate is exactly that surface. Stripe wants it framed as agent-initiated purchasing with consumer trust at scale. Handshake wants it framed as an agent acting on the employer's behalf.

1. Stripe. Financial infrastructure platform; Link is the consumer-facing payment credential serving 300M+ registered consumers, expanding into AI-agent transactions, stablecoins, identity, and consumer finance.

• Stage / Size / Capital: Private (pre-IPO), ~$95B valuation, ~10,000 employees.
• Offices: SF, NYC, Seattle, remote US.
• Value chain: Upstream financial infrastructure. Link sits at the consumer layer of that infrastructure, the trust surface between the payment system and the person. Design scope on Link is high because the consumer experience is the product.
• Best at: Developer-first payment infrastructure at internet scale. Link's expansion into agent-initiated transactions is the current growth vector.
• Signals: Staff Product Designer, Link posted with $191,300–$286,900 base plus equity and bonus. Dan Nelson, Head of Design for Consumer Products, posted eleven hours before this scan closed that he's hiring Staff Product Designers for Link and agentic commerce. The underlying requisition is older, but Nelson's first-person promotion is a fresh "I'm hiring" signal and the strongest identified buyer path in this scan.
• Tier: Enterprise platform with an AI-native mandate overlay. Tier Playbook: Read Enterprise platform playbook before outreach, but prepare agent-commerce evidence as the controlling mandate.
• Rubric scores: Company 10/12 — AI centrality 2, Stage/equity 3, Design influence 2, Trajectory 3. Role 14/15 — Total comp 2, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 3.
• Portfolio match: Link's agent-commerce expansion means designing the moment an AI agent, acting for a consumer, presents a payment credential to a merchant. The consumer has to see what's about to be authorized and why, before money moves. CarrierIQ's approval gate is the direct analog: the user inspects agent-produced context before authorizing a financial commitment. Link runs that at 300M consumers, so pair CarrierIQ with Alibaba ($50B+ GMV, +20% transactions, Head of Design) to show you can hold quality across a surface that large. TinyFish gives the practitioner layer on agent traces and auditability — you shipped the agentic platform 0 to 1 in three months. Consumer-product candidates in this pool haven't designed agent-initiated financial transactions, and AI candidates haven't carried a surface at Link's scale.
• Verdict: Act. Company 10, Role 14, buyer-promotion signal under one day old.
• Action state: Contact now. Message Dan Nelson directly. Reference his hiring post. Lead with CarrierIQ's approval gate mapped to agent-initiated purchasing, then Alibaba for consumer scale. His window starts decaying October 7.
• Battlecard: flag for production. No existing Battlecard.

2. Handshake. Early-career talent marketplace connecting students, employers, and universities, now building autonomous recruiting agents and an AI tasking platform.

• Stage / Size / Capital: Private, Series F, ~$3.5B valuation, ~700 employees.
• Offices: SF, remote US.
• Value chain: Downstream talent marketplace. Value concentrates in the matching layer — the quality of the connection between students and employers. The autonomous recruiting agent is the growth bet.
• Best at: Owning the early-career hiring pipeline at scale. The two-sided marketplace creates a design surface with dual trust requirements.
• Signals: Two Staff Product Designer roles. Autonomous Recruiting posted September 18 — blank-slate conversational and agentic workflows for recruiters. Handshake AI posted September 23, $225K–$250K, covering the tasking platform for model-quality, coding, reinforcement-learning, and operator workflows. Gabe Schindler (Head of Design, Handshake AI) is the identified design route for the AI role. No design hiring manager identified for Autonomous Recruiting; Vee Sahgal (CPO) is the fallback.
• Tier: Growth-stage platform. Tier Playbook: Read Growth-stage platform playbook before outreach.
• Rubric scores: Company 10/12 — AI centrality 2, Stage/equity 3, Design influence 2, Trajectory 3. Role (Autonomous Recruiting) 14/15 — Total comp 2, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 3.
• Portfolio match: Autonomous Recruiting is the workflow where an agent sources, screens, and presents candidates to a recruiter who then decides whether to trust its judgment. Structurally that's CarrierIQ's approval gate again: a human inspecting agent-assembled evidence before authorizing a consequential action, here advancing a candidate. Allē (30M members, consumer + provider, 3.2× redemption, Product Design Director at BCG Digital Ventures) covers the second dimension — both sides of this marketplace need different trust surfaces, and you've built dual-surface products before. Marketplace designers bring the two-sided model without the agent-review pattern; AI designers bring the pattern without the employer-candidate dynamic. The Allē + CarrierIQ combination covers both.
• Verdict: Act. Company 10, Role 14, Autonomous Recruiting signal 15 days — Watch band, justified by the specialized agentic-recruiting mandate and a thin candidate pool at that intersection.
• Action state: Contact Gabe Schindler for the AI role; apply formally for Autonomous Recruiting. Schindler is the confirmed design route for Handshake AI. No design manager is identified for Autonomous Recruiting, so apply via Ashby and note both roles in the application.
• Battlecard: flag for production. No existing Battlecard.

AI-Native Product Design

Three companies where the model is the product. Each wants evidence that you've designed for consequential AI output — safety, trust, accuracy, transparency, user agency — but each wants a different artifact from you. Anthropic wants the design-systems angle, encoding trust patterns into reusable components. OpenAI wants the consumer-verticals angle, designing health and finance decisions when the AI might be wrong. Ramp wants design systems as agent infrastructure, making design judgment machine-readable.

3. Anthropic. AI safety company building Claude, a frontier AI assistant, with products spanning consumer chat, enterprise API, and developer tools.

• Stage / Size / Capital: Private, Series E, ~$60B valuation, ~1,000 employees.
• Offices: SF, NYC, remote US.
• Value chain: Upstream foundation model provider with downstream product surfaces. Design scope is high on the product surfaces (Claude consumer, Claude for Enterprise) and structurally important on safety and safeguards.
• Best at: AI safety research translated into product constraints — the design org's mandate is making safety usable, which is harder than making it enforceable.
• Signals: Three Product Designer roles, all at $305K–$385K: Developer Platform (how builders work with Claude), Safeguards (sensitive control and review surfaces), and Design Systems (metadata, guidance, and evaluations usable by Claude as well as people). Posted between September 22 and September 28, so 5 to 11 days old at cutoff. Joel Lewenstein (Head of Product Design, ~3 years at Anthropic) is the function-level route. No requisition-level manager identified for any of the three.
• Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role (Design Systems) 15/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 3.
• Portfolio match: The Design Systems role asks for patterns and evaluations usable by Claude as well as people — design judgment encoded into rules an AI can follow. That is a different problem from a component library. The Trust essay's Watch→Verify→Delegate ladder gives the structure for progressive trust in agent output, and CarrierIQ shows you've already built inspectable agent reasoning in production. For Safeguards specifically, bring the Red Cross platform (6 systems→1, $847K disbursed, national deployment, Product Design Director at BCG Digital Ventures) as proof of high-stakes control surfaces where errors cost something. The candidates who know design systems will arrive with libraries; the candidates who know AI will arrive with chat interfaces. This role sits on the seam, and your Trust essay is about that seam.
• Verdict: Act. Company 11, Role 15, signals 5–11 days (hot). The three-role cluster shows separate hiring lanes for agent-facing infrastructure, safeguard interfaces, and system-level design quality.
• Action state: Apply and route. Submit via Greenhouse for all three. Joel Lewenstein is the function-level influence route and has promoted Anthropic design openings before. Reference the Trust essay and CarrierIQ in the application. The formal route is the safest path while you look for requisition-level managers.
• Battlecard: flag for production. No existing Battlecard.

4. OpenAI. AI research company building ChatGPT and expanding into consumer verticals including health, finance, and general consumer agents.

• Stage / Size / Capital: Private, ~$150B valuation, ~3,000 employees.
• Offices: SF, NYC, remote US.
• Value chain: Upstream foundation model provider expanding downstream into consumer product verticals. Design scope on Consumer Verticals is high; the role owns zero-to-one consumer experiences.
• Best at: Foundation model capability translated into consumer products at unprecedented scale. ChatGPT is the distribution engine and the verticals are the monetization bet.
• Signals: Product Designer, Consumer Verticals posted October 1, corroborated by the a16z board. $245K–$310K base plus equity. Two days old, hot. The specification names trust, accuracy, safety, transparency, and user agency as design requirements. Ian Silber (Head of Design, ~3 years) is the org-level route; no Consumer Verticals design manager identified.
• Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role 14/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 2.
• Portfolio match: Consumer Verticals means AI-powered health and finance experiences where the model can give wrong or harmful advice. The posting's explicit trust, accuracy, and agency language maps onto the five handoffs framework. The differentiator is the 0→1 build in a regulated domain: Thermo Fisher mySupply ($20M+ margin, 6 pharma partners, 100% adoption, Product Design Director at BCG Digital Ventures) is a zero-to-one product where errors had consequences, and Allē (30M members, 3.2× redemption) covers consumer scale. Very few people in this pool have shipped a regulated 0→1 product and written a trust framework for agent systems — that intersection is what makes the application specific.
• Verdict: Act. Company 11, Role 14, signal 2 days (hot). The posting's trust/safety/agency requirements are an unusually direct match to the Trust essay and the forward-looking artifact domains.
• Action state: Apply and route. Submit via Ashby. Ian Silber is the organizational route but not confirmed as the requisition manager. Reference the Trust essay and Thermo Fisher. Look for a Consumer Verticals design lead on LinkedIn before following up.
• Battlecard: flag for production. No existing Battlecard.

5. Ramp. Corporate spend management platform handling $200B+ in annualized spend across 70,000+ companies, building AI-native financial workflows.

• Stage / Size / Capital: Private, Series D, ~$13B valuation, ~1,000 employees.
• Offices: SF, NYC.
• Value chain: Midstream fintech platform. Value concentrates in the automation layer — the quality of AI-assisted expense management, procurement, and accounting workflows. Design Systems sits at the infrastructure level of that automation.
• Best at: Speed of product development in corporate finance. Ramp ships faster than competitors and the AI integration runs deeper than most fintech peers.
• Signals: Design Systems Lead posted September 30. $280K–$385K SF/NY base plus equity. Three days old, hot. The role leads the design-systems team while staying hands-on in code, prototyping, technical architecture, agent guidance, AI-assisted generation, and repeatable design-quality evaluations. Diego Zaks (VP of Design) is the organizational owner; no specific reporting line named.
• Tier: Growth-stage platform with an AI-native mandate overlay. Tier Playbook: Read Growth-stage platform playbook before outreach, but prepare design-systems-for-agents evidence as the controlling mandate.
• Rubric scores: Company 11/12 — AI centrality 2, Stage/equity 3, Design influence 3, Trajectory 3. Role 14/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 2, Portfolio value 3.
• Portfolio match: The agent guidance and AI-assisted generation language in the posting is the tell: Ramp needs design judgment encoded into rules, patterns, and evaluations that people and agents can both follow. The Trust essay's progressive delegation model answers the governing question — how much autonomy should an AI-assisted generation system have over design decisions — and CarrierIQ demonstrates you've made agent reasoning inspectable in production. Alibaba (Head of Design, $50B+ GMV) covers the enterprise-platform scale. Design systems treated as agent infrastructure is a thin field, and you arrive with the delegation framework and the platform proof behind it.
• Verdict: Act. Company 11, Role 14, signal 3 days (hot). The posting is housed under Engineering — ask about the role's authority relative to product-design leadership in the first conversation.
• Action state: Apply and route. Submit via Ashby. Diego Zaks is the organizational owner; reach him if you can find a warm path. Clarify the Engineering housing early: does the role report into design or engineering leadership?
• Battlecard: flag for production. No existing Battlecard.

AI Context & Creative Tools

Both roles ask the same question from different ends: when an AI system has access to the user's own work — their design system, their codebase, their project history — how much should it do on its own, and when should it stop and show its reasoning? Watch→Verify→Delegate is the shared artifact. Figma needs it applied to design-system constraints (the AI read your components and generated a layout; did it respect your spacing tokens?). Replit needs it applied to deployment consequences (the agent wrote and shipped code; did it break something?). Write the walkthrough once. Fork the cover letter.

6. Figma. Collaborative design platform expanding into AI-powered design generation, code translation, and context-aware assistance.

• Stage / Size / Capital: Private, Series E, ~$20B valuation, ~1,500 employees.
• Offices: SF, NYC, remote US.
• Value chain: Midstream design tooling platform. Value concentrates in Figma's position as the design-system-of-record; every AI feature inherits that authority. Design scope is unusually high because the product is a design tool.
• Best at: Real-time collaborative design with the largest installed base of professional designers. The AI bet is that Figma's context — your components, your brand, your system — makes its outputs better than anything built on generic models.
• Signals: Director, Product Design — AI & Context posted September 22, confirmed live, no ATS-record revision since publication. $290K–$376K plus equity. Leads the Context Platform pillar: Design Systems, Code, MCP, CMS, Community. Emily Campbell joined separately as Director of Design for AI Models in August, a parallel seat rather than the same requisition. Noah Levin oversees the Product Design organization of 80+ people. Public descriptions distinguish Campbell's AI Models remit from the Context Platform scope.
• Tier: Enterprise platform with an AI-native mandate overlay. Tier Playbook: Read AI-native playbook before outreach (expect evaluation on agent delegation patterns and MCP/context-infrastructure thinking, not enterprise design systems management).
• Rubric scores: Company 11/12 — AI centrality 2, Stage/equity 3, Design influence 3, Trajectory 3. Role 14/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 3, Portfolio value 3.
• Portfolio match: Context Platform solves a specific version of the delegation problem: the AI holds your entire design system and has to decide what to generate on its own versus what to surface as options. Brand Pulse is the mapping artifact — you designed the surface that shows users what an AI system is doing with their data in real time, which is what Context Platform needs for the AI's use of design-system context. Alibaba (Head of Design, $50B+ GMV, +20% transactions) covers operating at the scale of a platform-of-record. Someone inside Figma's design org knows the product but likely lacks the agent-delegation framework; someone from an AI lab has the framework without the enterprise platform proof. Your combination of both is the differentiator.
• Verdict: Act. Company 11, Role 14, signal 11 days (hot). Crosses to Watch band October 14.
• Action state: Apply and route. Submit via Greenhouse. Emily Campbell is the closest identified design leader in the AI org; she owns AI Models rather than Context Platform, but she's the most likely routing path to the Context Platform hiring manager. Reference the Trust essay.
• Battlecard: flag for production. No existing Battlecard.

7. Replit. AI-powered coding platform where agents write, edit, debug, and deploy code.

• Stage / Size / Capital: Private, Series B, ~$1.16B valuation, ~100 employees.
• Offices: Foster City (M/W/F in-office).
• Value chain: Downstream AI-native developer tool. Value concentrates in the agent-coding experience; the quality of human-agent collaboration determines retention against Cursor, Windsurf, and GitHub Copilot.
• Best at: Browser-based AI coding with deployment built in. The agent doesn't only write code, it deploys and manages applications, which raises the stakes of every delegation decision.
• Signals: Director, Product Design posted August 25. $275K–$350K plus equity. 39 days old — crosses Ignore threshold October 7. No design hiring manager identified; this reads as a function-building hire.
• Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 9/12 — AI centrality 3, Stage/equity 2, Design influence 2, Trajectory 2. Role 14/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 2.
• Portfolio match: Replit's agent deploys to production, so delegation errors mean broken apps, security exposure, cost overruns. That's the mandate maintenance problem from the Trust essay: the agent's representation of the user's intent decays as the codebase changes and new dependencies appear. Open with CarrierIQ's provenance chain, the surface where a user sees what evidence the agent assembled before authorizing, then connect to TinyFish, where you shipped the agentic platform 0 to 1 in three months. A 100-person company hiring its first design director wants someone who has built the product and designed the oversight surface, and you've done both recently.
• Verdict: Watch. Company 9, Role 14, signal 39 days. Justified: a Director-level design function build at an AI-native company with a Foster City residency requirement narrows the pool considerably.
• Action state: Verify first. Confirm the posting is still actively recruited before spending outreach time — it expires from Watch eligibility in four days. If verified, apply via Ashby and identify the hiring manager through Replit's leadership page or by checking who posted the role.

Agentic Analytics & Intelligence Surfaces

Three roles, one shared requirement: a human reviews output an agent produced — analytical insight, synthesized answer, evaluation result — and decides whether to trust it, act on it, or redirect. CarrierIQ carries all three, with a different framing sentence each time. Amplitude is about inspecting whether the agent asked the right analytical question. Perplexity is about auditing which claims in a synthesized answer are actually supported. Scale AI is about surfacing data-quality problems across large evaluation datasets.

8. Amplitude. Product analytics platform building Wave, an agentic AI layer that queries data, builds charts, and surfaces insights on behalf of product teams.

• Stage / Size / Capital: Public (AMPL), ~700 employees, ~$1.5B market cap.
• Offices: SF HQ, remote-friendly.
• Value chain: Midstream analytics platform. Wave is the bet that agentic AI turns analytics from a pull tool into a push tool. Design scope on Wave is high because the agent interaction is the product surface.
• Best at: Behavioral product analytics with deep event-tracking infrastructure. Wave's agentic layer is the growth bet.
• Signals: Principal Product Designer, Agentic Workflows posted September 29. $265K–$398K plus equity. SF, Bay Area. Four days old, hot. Meredith Fay (Lead Designer, ~10 years at Amplitude) is named in the posting as a close collaborator. Separately, Amplitude's Head of Design search was promoted roughly two months ago, so the design leadership structure is being rebuilt.
• Tier: Growth-stage platform. The Agentic Workflows role is an AI-native mandate inside an analytics company; expect evaluation on agent interaction design and progressive delegation rather than dashboard UX. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 7/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 2. Role 15/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 3, Portfolio value 3.
• Portfolio match: Wave's agent queries data, builds a chart, and surfaces an insight. The product manager looking at that insight needs to know whether the agent asked the right question, pulled the right dataset, and read the result correctly before passing it to the team. That's the approval gate translated into analytics. Open with CarrierIQ's provenance chain, then connect to TinyFish for agent traces and auditability, and point to the Agentic Labs apps running live at junochen.com. Wave needs the pattern that sits between a dashboard and a chatbot — reviewing what the agent produced — and that's what you've shipped.
• Verdict: Watch. Company 7, Role 15, signal 4 days (hot). Watch comes via role score, since 15/15 clears the role 10+ threshold. Company score falls short of Act, but this is the highest-scoring role this cycle and the freshest signal.
• Action state: Contact now. Reach Meredith Fay directly; she's named in the posting and has been there a decade. Reference the Agentic Workflows role specifically. If the Head of Design has been hired since that search was posted, that person is the higher-value contact, but Fay is the confirmed route today.

9. Perplexity. AI-powered search engine that synthesizes answers from multiple sources with inline citations.

• Stage / Size / Capital: Private, Series B, ~$9B valuation, ~300 employees.
• Offices: SF, NYC (hybrid).
• Value chain: Downstream AI search application built on multiple foundation models. Value concentrates in the answer-quality layer and the trust surface; users stay because they trust the synthesis.
• Best at: Conversational search with source attribution. The citation model is a design problem as much as a retrieval problem.
• Signals: Lead Product Designer, Growth and Lead Product Designer, Enterprise, both posted September 2. $180K–$300K. 31 days old, crossing the Ignore threshold October 15.
• Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role 12/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 2.
• Portfolio match: Perplexity folds five sources into one paragraph, and the user needs to tell which claims are supported and which are the model's interpolation between them. That maps to the Trust essay's position that status should be a warranted claim: show the narrowest claim the evidence supports, who asserts it, how fresh it is, whether another source disagrees. Put CarrierIQ's source-attribution interface first, where every data point links back to its provenance, then the evidence-class framework from the essay. Most search designers optimize for speed and relevance; you've designed for inspectability, which is the harder problem and the one Perplexity's brand depends on.
• Verdict: Watch. Company 11, Role 12. Both dimensions clear Act thresholds, but the 31-day signal forces Watch. Act trigger: a repost of either role, or any new design signal, upgrades this immediately. Ignore trigger: October 15 with nothing refreshing it.
• Action state: Apply and route. Submit via Ashby for both Growth and Enterprise. No design hiring manager identified. Check Perplexity's team page and recent LinkedIn hiring posts for the design lead before following up.

10. Scale AI. AI data infrastructure platform providing labeling, evaluation, and fine-tuning services for foundation model companies and enterprises.

• Stage / Size / Capital: Private, Series F, ~$13.8B valuation, ~800 employees.
• Offices: SF, NYC.
• Value chain: Upstream AI infrastructure. Value concentrates in the data-quality layer that foundation model companies depend on. Design scope is constrained by Scale's engineering-led culture; treat that as a design-influence-ceiling risk.
• Best at: Enterprise-grade AI data operations at scale. The evaluation and fine-tuning products are increasingly the strategic center.
• Signals: Staff Product Designer, Enterprise posted approximately September 9. $233K–$292K. 24+ days old, Watch band. A Staff PD, Public Sector posting exists but is limited to NYC/DC and fails the Bay Area rule.
• Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
• Rubric scores: Company 8/12 — AI centrality 3, Stage/equity 2, Design influence 1, Trajectory 2. Role 11/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 2, Portfolio value 2.
• Portfolio match: Scale's enterprise customers run AI data operations across large datasets — labeling queues, evaluation pipelines, quality dashboards — and need tooling that surfaces data-quality problems before they corrupt a fine-tuning run. That's an enterprise workflow problem with AI-specific complexity. Alibaba (Head of Design, $50B+ GMV, +20% transactions) carries the enterprise-scale platform proof, with TinyFish supplying the agent-trace and data-auditability depth. The design influence score of 1 is a qualification gate, not a soft concern. Ask about reporting structure and design's seat in product decisions in the first conversation. If design reports below VP Product or has no strategic input on direction, the role won't deliver on scope or influence no matter how strong the AI exposure is. Downgrade to Ignore if the answer is bad.
• Verdict: Watch. Company 8, Role 11, signal 24+ days. Watch via role score, which clears the 10+ threshold.
• Action state: Apply and qualify. Submit via Scale's career page. No design hiring manager identified. Treat the first conversation as a two-way evaluation; the influence question decides whether this goes past the screen.

Enterprise AI Workflows

Two live signals at enterprise platforms where AI is an accelerant on top of an existing suite. The controlling problem in both is workflow automation with operational consequences, which means the proof artifacts are Red Cross and Alibaba rather than CarrierIQ.

11. Atlassian. Collaboration and project management platform (Jira, Confluence, Bitbucket) building Rovo, an AI agent that works across Atlassian products.

• Stage / Size / Capital: Public (TEAM), ~$60B market cap, ~12,000 employees.
• Offices: SF, NYC, Sydney, remote US.
• Value chain: Midstream enterprise collaboration platform. Rovo sits as an AI layer across the existing product suite. Design scope is meaningful within product areas.
• Best at: Developer and project management workflow tools at enterprise scale. Rovo is the AI integration bet.
• Signals: Principal Product Designer, Rovo & AI posted September 15, leading strategy, systems thinking, interaction craft, and design execution across Rovo and AI experiences spanning Jira, Confluence, and Bitbucket. Carola Pescio Canale (Head of Design, AI) is the design-owner route. Crosses from hot to Watch band approximately October 7. Additional design listings include Senior Design Manager, Jira AI and Lead Design Technologist.
• Tier: Enterprise platform. Tier Playbook: Read Enterprise platform playbook before outreach.
• Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 3. Role 13/15 — Total comp 2, Scope 3, Craft depth 3, AI exposure 2, Portfolio value 3.
• Portfolio match: Rovo runs across Jira, Confluence, and Bitbucket, three products with different user models, workflows, and failure modes. The design challenge is making one agent coherent across those surfaces without flattening what makes them different. Alibaba (Head of Design, $50B+ GMV, +20% transactions) is the enterprise-platform redesign proof; Red Cross (6 systems→1, Product Design Director at BCG Digital Ventures) is the consolidation proof, which is nearer to what Rovo is actually doing across the suite. Most enterprise designers in this pool have worked single-product AI features; you've designed cross-system consolidation where the stakes were operational.
• Verdict: Watch. Company 8, Role 13, signal 18 days (hot, expiring). Crosses to Watch band October 7 — move before then if you can.
• Action state: Apply and route. Submit via Atlassian careers. Carola Pescio Canale is the strongest identified design-owner route. Reference the Alibaba redesign and the Red Cross consolidation.

12. ServiceNow. Enterprise workflow automation platform for IT service management, HR, customer service, and security operations, with Now Assist AI across products.

• Stage / Size / Capital: Public (NOW), ~$200B market cap, ~23,000 employees.
• Offices: Santa Clara HQ, global.
• Value chain: Vertically integrated enterprise workflow platform. Design scope is meaningful within product areas but structurally capped by the enterprise sales-led model.
• Best at: IT service management workflow automation at enterprise scale.
• Signals: A Director of Product Design search for ITSM was publicly promoted approximately September 26, describing a design organization of 20+ people. Paul Hong (VP, Product Design, ~8 years at ServiceNow) owns the Technology Workflows portfolio that includes ITSM. Signal is roughly seven days old.
• Tier: Enterprise platform. Tier Playbook: Read Enterprise platform playbook before outreach.
• Rubric scores: Company 7/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 2. Role 10/15 — Total comp 2, Scope 2, Craft depth 2, AI exposure 2, Portfolio value 2.
• Portfolio match: ITSM workflows route requesters, approvers, agents, and admins through processes where errors cost the IT teams downstream. Red Cross, completed as Product Design Director at BCG Digital Ventures, is the direct proof: 6 systems→1, $847K disbursed, national deployment, a multi-stakeholder consolidation where the failure mode was operational harm. Most of the enterprise field here has internal-tools experience; your workflow systems carried comparable consequences.
• Verdict: Watch. Company 7, Role 10, Watch via role score. Equity upside is limited at a $200B public company, but this is a credible Director seat with a known, reachable hiring manager.
• Action state: Contact now. Reach Paul Hong directly; he's the VP who owns the org. Lead with Red Cross. Skip the AI narrative here — this is an enterprise workflow role.

AI-Native Creative Tools

One more creative-tools signal, with a mandate unlike Figma's or Replit's: a function-building Senior Director seat that still expects hands-on work, inside a public company's generative AI product line.

13. Adobe. Creative software company building Firefly, its generative AI product for image, video, and design creation.

• Stage / Size / Capital: Public (ADBE), ~$200B market cap, ~30,000 employees.
• Offices: San Jose, SF, NYC, global.
• Value chain: Vertically integrated creative platform. Firefly is the AI-native layer built on top of the creative suite. Design scope within Firefly is high; the role owns product experience outcomes and growth metrics.
• Best at: Professional creative tools at scale. Firefly's advantage is Adobe's proprietary training data and its integration with the existing suite.
• Signals: Senior Director of Design, Firefly, $248,200–$385,900 California base. Chris Hickey-Williams (recruiter) promoted the role four days before cutoff. Rachana Rele (VP of Design, Gen AI, Incubations, and Emerging Products) is the likely design sponsor. Unresolved: Adobe's public materials also identify Samantha Warren as Senior Director of Design for Firefly, so the new role may be expansion, reorganization, or succession. The recruiter is the better route for resolving that.
• Tier: Enterprise platform with an AI-native mandate overlay. Tier Playbook: Read Enterprise platform playbook before outreach, but prepare AI-native creative-tool evidence.
• Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 3. Role 13/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 3, Portfolio value 2.
• Portfolio match: The Firefly Senior Director owns product experience outcomes, growth metrics, workflow differentiation, and competitive response while staying explicitly hands-on; the posting calls it a builder who leads builders. Alibaba (Head of Design, $50B+ GMV, +20% transactions) covers leading design at platform scale, and the Trust essay's delegation framework answers Firefly's core tension: how much should the model generate on its own versus how much should the designer hold? The sharper differentiator is the function-building record — Equinox+ (0→MVP in 3 months, 5 brands) and Thermo Fisher mySupply ($20M+ margin, 12 months), both as Product Design Director at BCG Digital Ventures, show you building a product and a team at the same time, which is what this seat requires.
• Verdict: Watch. Company 8, Role 13. The recruiter promotion sits at the edge of the 0–4-day hot band, and the Warren ambiguity needs resolving before you spend real outreach effort.
• Action state: Verify first. Contact Chris Hickey-Williams to establish whether this is expansion or succession. If expansion, apply through the formal channel and route via Rachana Rele. If succession, understand the organizational context before going further.

Monitoring Pool

Each company below has a stale signal, an unresolved date, or no confirmed design posting. Each is scored to show proximity to a threshold, and each names the trigger that would restore it.

14. DoorDash. The AI connector for corporate ordering launched September 30 with SpaceXAI, Vercel, Cognition, Tempo, and Mercor as beta partners, using Model Context Protocol. Staff Product Designer, New Bets posted September 24 for Meals for Work, spanning employee-facing ordering and enterprise-administrator systems, requiring production-grade prototypes plus code and LLM tools. Qixing Zheng publicly promoted the role and described herself as hiring the designer. $260K base ceiling. Nine days old.

• Rubric scores: Company 7/12 — AI centrality 1, Stage/equity 1, Design influence 2, Trajectory 3. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
• Proximity: Role score clears Watch at 13, the signal is hot at nine days, and the company score of 7 sits just under the 8+ Watch threshold. The role qualifies on role score alone, and a named buyer plus a fresh product launch on the same surface strengthens it.
• Why monitoring pool instead of scored: The company context is the limiter. DoorDash is public with thin equity upside, and AI centrality is low — the connector is a feature, not the product. Interesting role, capped long-term opportunity value.
• Trigger: Promote to scored Watch if the company score improves (deeper agent-commerce integration raising AI centrality) or a second design role appears in the same area.

15. Abridge. Senior Product Designer is live for hybrid SF/NYC, but the employer page exposes no original date. A third-party archive dates it to September 9, which would put it at 24 days and in the Watch band, unverified.

• Rubric scores (estimated): Company 10/12 — AI centrality 3, Stage/equity 2, Design influence 2, Trajectory 3. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
• Proximity: Likely Act if the employer-origin date confirms inside 21 days. Healthcare AI plus trust design is a strong portfolio match.
• Trigger: Employer-confirmed date, or a second corroborating source.

16. Linear. Senior/Staff Product Designer is live with no employer-confirmed publication date. Compensation undisclosed; a third-party estimate reports $205K–$265K, unverified. Comparable ranges: Ashby Staff PD $210K–$250K, Vercel Senior PD $172K–$258K.

• Rubric scores (estimated): Company 7/12 — AI centrality 0, Stage/equity 2, Design influence 3, Trajectory 2. Role 10/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 1, Portfolio value 2.
• Proximity: Role score touches the Watch threshold, but the date gate blocks a verdict and AI exposure is minimal.
• Trigger: Employer-confirmed date within 42 days, or comp disclosure clearing the $200K floor.

17. Glean. Head of Product Design posted March 5, 2025. Eighteen months old. $250K–$300K, Mountain View/SF hybrid.

• Rubric scores (estimated): Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role 13/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 3, Portfolio value 2.
• Proximity: Act on both dimensions if the signal were fresh. At eighteen months the posting is almost certainly filled, stalled, or redefined. A new requisition ID would make this one of the highest-priority entries in the inventory.
• Trigger: New requisition ID or repost.

18. Rippling. Product Design Lead, AI Platform posted August 3. 61 days old. $174K–$325K, SF/NYC/Seattle.

• Rubric scores (estimated): Company 7/12 — AI centrality 1, Stage/equity 2, Design influence 2, Trajectory 2. Role 10/15 — Total comp 2, Scope 2, Craft depth 2, AI exposure 2, Portfolio value 2.
• Proximity: Marginal. Role score touches the Watch threshold, the signal is stale, and the AI exposure is thin. A repost warrants re-evaluation without automatically clearing Act.
• Trigger: Repost or new design leadership requisition.

Priority Targets — No Qualifying Signal

Each company below is on the named target list or the priority direct-scan list. Career pages were checked this cycle unless noted. No qualifying product design posting (Staff+, Principal, or Director+) was found.

• Zoox. No product design opening at any level on the current Lever board.
• Notion. Product Designer openings exist, none at Staff+, Principal, or Director+.
• Vercel. Senior Product Designer roles exist, nothing at Staff+ or Director+.
• Cursor. Design-engineering work listed, no qualifying product design title.
• Mercury. Senior product design work listed, no Staff+ or Director+ title.
• Plaid. No Staff+, Principal, or Director+ product design role on the current Lever board.
• Cohere. Brand and marketing design leadership listed, no matching product design role.
• Mistral. No Staff+, Principal, or Director+ product design opening.
• Suno. A Senior/Staff PD posting exists at 151 days old and restricted to NYC/LA. Fails both the age and Bay Area rules.
• Rubrik. A Product Designer requisition exists below the Staff+ threshold. No new qualifying senior requisition beyond the previously flagged stale Director posting.
• Salesforce. No qualifying product design posting on the current career page.
• Gusto. All four design postings are Ignore-until-trigger (see the correction above). Amy Thibodeau (CDO) is actively recruiting senior product leadership; a VP-level Head of Product, Core Experiences search was promoted within the past week. Monitor for new design requisitions.

This Week — Sequenced

The order below reflects deadlines and dependencies, not preference.

1. Today: Contact Dan Nelson at Stripe. His hiring post is less than a day old and decays after October 7. Message him directly, reference the post, lead with CarrierIQ's approval gate mapped to agent-initiated purchasing, then Alibaba for consumer scale. Strongest buyer signal in the inventory.
2. Today through Monday: Polish the CarrierIQ provenance walkthrough at junochen.com. It gates entries 3 (Anthropic), 4 (OpenAI), 5 (Ramp), 6 (Figma), 7 (Replit), 8 (Amplitude), and 9 (Perplexity). Live and linkable before those applications go out.
3. Monday: Apply to Anthropic (all three roles) and OpenAI Consumer Verticals. All four postings are hot. Greenhouse for Anthropic, Ashby for OpenAI. Reference the Trust essay and CarrierIQ.
4. Monday: Apply to Figma. Act, 11 days old, crosses to Watch band October 14. Submit via Greenhouse, reference the Trust essay, route through Emily Campbell.
5. Tuesday: Verify Replit. The posting crosses the Ignore threshold October 7. Confirm it's still actively recruited. If live, apply and identify the hiring manager.
6. Tuesday: Apply to Atlassian. Crosses from hot to Watch band October 7. Careers page, route through Carola Pescio Canale.
7. Tuesday–Wednesday: Contact Meredith Fay at Amplitude. Signal is four days old and hot. Name the Agentic Workflows role specifically.
8. Wednesday: Apply to Ramp. Act, three days old. Submit via Ashby. Route through Diego Zaks if a warm path exists.
9. Wednesday–Thursday: Contact Paul Hong at ServiceNow. Signal is roughly seven days old. Lead with Red Cross, skip the AI narrative.
10. Thursday: Verify Adobe Firefly. Contact Chris Hickey-Williams to settle expansion vs. succession before spending outreach effort.
11. By October 12: Apply to Perplexity (Growth and Enterprise) and Scale AI. Perplexity crosses the Ignore threshold October 15. Scale AI is in the Watch band and aging; treat the first conversation there as a qualification gate on design influence.
12. By October 12: Contact Handshake. Reach Gabe Schindler for the AI role. Apply formally for Autonomous Recruiting via Ashby.