Design Roles Board — 22 Roles Clustered by Design Problem

July 24, 2026

Board status: 22 roles scanned. 6 Act. 14 Watch. 2 Ignore-until-trigger. 5 retired or excluded since last scan.

Material finding

Brex is now a Capital One subsidiary. Acquisition closed April 7, 2026, for approximately $2.56B in cash plus stock. The Staff Product Designer, AI posting is still live and the design problem remains sharp. The equity story is dead. Company score drops to 7. Watch, not Act.

The strategic read: This issue clusters by design problem, not company category. The question that organizes everything: which design challenges does your portfolio actually solve?

Three clusters convert. Regulated AI, financial trust calibration, and platform governance. Your Thermo Fisher exception-first design, Alibaba trust architecture, and Agentic Labs agent supervision work address what these hires will face on day one. Not adjacently. Directly. Two clusters are gaps: consumer AI trust and developer infrastructure. No published case speaks to those problems with specificity. Pursue if you want, but know you're selling potential, not proof.

On the count. This format was built for 100 entries. The verified pool is 22. At Director+ and Senior Staff IC levels, company score 8+, SF Bay Area or U.S.-remote eligible, posted within 42 days or with active counter-evidence, the live universe is small. I scanned Databricks, Notion, Scale AI, Cohere, Writer, Palantir, ServiceNow, Snowflake, Figma, Canva. None have a qualifying Director+ or Senior Staff product design role posted within the decay window. Anthropic and OpenAI: nothing qualifying live. Abridge, Headway, Atlassian, Adobe, Salesforce: same. The absence is verified, not overlooked. The value here is the clustering, not the count.

Downgraded or retired since last scan:

Capital One AI in XD: Direct URL returned 404. Retired.
Suno: 94 days old, LA-only. Retired. Trigger: reposted with remote/SF eligibility.
DeepMind Gemini: 119 days old. Retired. Trigger: new Gemini design posting appears.
Rubrik: 169 days from original posting. July 15 update is counter-evidence but not sufficient to justify this fill cycle without something specific (security clearance requirements, confirmed active interviewing). Downgraded to Ignore-until-trigger. Trigger: new Director+ design posting appears, or confirmed active search via recruiter outreach.
Chime: 176 days from original posting. July 17 update could be automated ATS refresh. Downgraded to Ignore-until-trigger. Trigger: reposted as new role, or confirmed active search via recruiter outreach.
Givebutter: Company score 7, deadline ambiguity from prior coverage. Excluded.
Affirm (older Staff posting): Superseded by Agentic Experiences posting below.

Regulated AI — Clinical, Compliance, Verification

Three Acts in one cluster. Your highest-density conversion zone.

The design problem is structurally identical across all four roles: AI operates where a wrong output has regulatory, clinical, or legal consequences. The designer defines what "safe" looks like in the interface. Exception handling. Audit trails. Human override points. Your Thermo Fisher case (exception-first design in pharma, 197 orders, surface the 3 that matter) and Red Cross case (FEMA audit trails, caseworker-first design, 6 systems consolidated into 1) are exact proof. No other cluster on this board has three Act-eligible roles where your published work maps this cleanly.

1. Maven Clinic — VP Design. Virtual clinic platform for fertility, maternity, and family health serving 2,000+ employers and health plans.

Stage / Size / Capital: Private, $425M+ raised, growth-stage.
Offices: NYC headquarters, remote U.S. hub cities.
Value chain: Downstream healthcare delivery. Vertically integrated virtual clinic with provider network, member platform, and employer/payer distribution. Design scope spans the full care journey. The product is the care delivery, not a layer on top of it.
Best at: Integrating clinical workflows with employer/payer requirements in a single platform. One of the few healthcare companies where design decisions have direct clinical consequences.
Signals: VP Design posting first published 06/16, updated 07/08. 38 days, extended window. The update suggests active search, not ATS refresh. CPO-reporting VP scope with ~15 designers and AI-native clinical workflows.
Tier: Healthcare/Regulated. Tier Playbook: Read Healthcare/Regulated playbook before outreach.
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: Lead with Thermo Fisher mySupply. Maven's VP owns the clinical workflow surface where providers make care decisions informed by AI. The exception-first pattern (197 orders, surface the 3 that matter) maps to Maven's clinical triage problem: when AI flags a risk in a member's care journey, the provider needs the exception surfaced, not the stream. The 100% partner adoption across 6 pharma partners proves you can earn trust from clinical stakeholders who won't use a tool they don't trust with patient outcomes. A strong AI design candidate without regulated multi-stakeholder platform proof can't demonstrate that adoption curve.
Verdict: Act. 38 days, extended but updated. VP-level scope with AI-native clinical mandate. Lead with Thermo Fisher, bridge to Red Cross for multi-stakeholder proof. Move this week.

2. Maven Clinic — Senior Staff Product Designer. Same platform, provider-tooling focus for virtual clinic workflows.

Stage / Size / Capital: Same as above.
Offices: Remote U.S. hub cities, NYC.
Value chain: Same platform, closer to the provider-facing surface. The tools clinicians use during and between appointments.
Best at: See above.
Signals: First published 06/22. 32 days, extended. Posting emphasizes "strategic ambiguity" and "AI fluency." They want someone comfortable designing where clinical AI capabilities are still forming.
Tier: Healthcare/Regulated. Tier Playbook: Read Healthcare/Regulated playbook before outreach.
Rubric scores: Company 11/12 (same). Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Red Cross disaster relief platform. This role designs the provider workflow surface: multiple roles (clinician, care navigator, member) sharing one record in a regulated context. Red Cross solved exactly this. Three roles (field volunteer, finance officer, program director) sharing one case record for the first time, with FEMA audit trails built in. The $847K disbursed across 1,689 cases in 2 weeks proves you can design for clinical-grade urgency where the system must work under pressure without retraining. Differentiated from the VP match because this role is hands-on craft, and Red Cross was hands-on 0→1 build.
Verdict: Act. 32 days, extended. If you're pursuing the VP role, this is your backup entry point at the same company. If you want craft depth over org scope, this is the stronger role. Pick one. Name the other in conversation only if asked.

3. Ambience Healthcare. Clinical AI platform building AI products for healthcare documentation, coding, and clinical workflows.

Stage / Size / Capital: Private, growth-stage healthcare AI. Backed by Oak HC/FT, a16z, OpenAI Startup Fund, and Kleiner Perkins.
Offices: San Francisco.
Value chain: Midstream AI platform layer. Ambience builds the clinical AI that health systems deploy. Design scope is the product surface where clinicians interact with AI-generated documentation and clinical suggestions.
Best at: Clinical AI that actually ships in health systems. Production deployments, not pilots.
Signals: Staff Product Designer posted 06/24. 30 days, extended. Posting says "end-to-end Clinical AI products." The designer owns the full surface, not a component.
Tier: Healthcare/Regulated. Tier Playbook: Read Healthcare/Regulated playbook before outreach.
Rubric scores: Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Carrier IQ (Agentic Lab 04), bridge to Thermo Fisher. The designer defines the surface where a clinician reviews AI-generated clinical documentation and decides whether to trust it. Carrier IQ's InsurTech quote automation is the closest published analogue: an AI agent generates a high-stakes output (insurance quote / clinical note) and the human must decide whether to accept, edit, or override. Thermo Fisher adds the regulated-domain proof. Designing where a wrong output isn't bad UX but a compliance event. No other candidate brings both a live agentic automation case and regulated exception-first design proof.
Verdict: Act. 30 days, extended but SF-based and AI-native healthcare. AI centrality score (3) is the highest on this board. If clinical AI is a domain you want to own, this is the entry point.

4. Checkr. AI-powered background check platform used in hiring, housing, rideshare, childcare, and dating contexts.

Stage / Size / Capital: Private, growth-stage. Background check market leader.
Offices: Denver, San Francisco.
Value chain: Midstream verification infrastructure. Checkr sits between employers/platforms and public records, using AI to automate identity verification and risk assessment.
Best at: Applying AI to a verification process that directly affects whether someone gets a job, an apartment, or access to a service. The stakes are personal and regulated.
Signals: Staff Product Designer, Growth posted 07/21. 3 days old, fresh. No trigger signal beyond the posting itself. No recent funding, leadership change, or product launch found. The "Growth" focus suggests expansion into new verification categories, but that is inference, not confirmed.
Tier: Healthcare/Regulated. Tier Playbook: Read Healthcare/Regulated playbook before outreach. (Regulated verification context, not healthcare.)
Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 2, Design influence 2, Trajectory 2. Role 11/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 2, Portfolio value 2.
Portfolio match: Red Cross disaster relief platform. Checkr's Growth designer scales a verification system where AI-generated results determine real outcomes for real people. Someone gets hired or doesn't. Gets housed or doesn't. Red Cross's identity verification plus FEMA audit trails built into the caseworker workflow maps to Checkr's core challenge: verifying identity in a system where errors have direct human consequences. The surge-ready architecture (10× volume with zero retraining) maps to the growth mandate. Weaker match than the three Acts above. The Growth focus dilutes the regulated-AI signal.
Verdict: Watch. Fresh posting, but company score (8) is at threshold and the Growth focus means the regulated-AI design problem may be secondary to conversion metrics. Don't prioritize over the three Acts above.

Trust Calibration — Financial AI

Your second-strongest conversion zone. Every role here asks the same question at the design level: when AI handles money, how does the user know whether to trust it? Your Alibaba case ($50B GMV, trust architecture for cross-border procurement) and Carrier IQ (automated financial decisioning) speak directly. "Trust Is the New Interface" provides the conceptual frame.

One Act. Three Watch.

5. Stripe. Financial infrastructure platform powering payments, billing, and financial operations for millions of businesses.

Stage / Size / Capital: Private, pre-IPO, one of the most valuable private companies globally. Significant equity for senior hires.
Offices: U.S. remote.
Value chain: Upstream financial infrastructure. Stripe is the rails. Design at this level shapes how businesses understand and navigate risk, compliance, and financial operations. Influence is structural.
Best at: Making complex financial infrastructure feel simple without hiding the complexity that matters. Stripe's design culture is real, not performative.
Signals: Senior Staff Product Designer, Risk posted 07/08. 16 days, fresh. The Risk team shapes "how businesses get started, stay compliant, and grow with confidence."
Tier: Enterprise platform. Tier Playbook: Read Enterprise playbook before outreach.
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. (AI exposure at 2: the Risk team designs compliance and risk UX with AI components, not core AI decision surfaces. The design problem is trust calibration in financial operations, AI-adjacent rather than AI-native.)
Portfolio match: Lead with Alibaba CS. The moment before a procurement buyer commits to a cross-border order at $50B GMV is architecturally identical to the moment before a business operator trusts Stripe's risk assessment to onboard, stay compliant, or expand. Both are trust-calibration problems at platform scale where the interface must communicate confidence without false certainty. The +20% transaction lift proves you design for the commitment moment, not just the interface around it. Carrier IQ adds the automated risk-decisioning layer. You have infrastructure-grade trust architecture at $50B GMV. That's not consumer fintech proof or SaaS proof. It's the same weight class.
Verdict: Act. 16 days, fresh. Combined score 25. Pre-IPO equity at Stripe's valuation is a generational opportunity. Move today.

6. Brex. Corporate spend platform, now a wholly owned subsidiary of Capital One.

Stage / Size / Capital: Acquired by Capital One, April 2026, ~$2.56B. Pedro Franceschi continues as CEO. Posting lists $240K–$300K salary; equity "may be provided" but would be Capital One stock, not startup equity.
Offices: San Francisco.
Value chain: Downstream financial application. Brex is the spend-management surface that sits on top of banking infrastructure (now Capital One's). Design scope is the AI product layer where users delegate, supervise, and correct financial agent actions.
Best at: The posting language is unusually specific about the design problem: "delegation, supervision, correction" and "money-trust." They know exactly what they need.
Signals: Staff Product Designer, AI posted 07/08. 16 days, fresh. The acquisition changes the equity calculus but the design problem is one of the sharpest on this board.
Tier: Enterprise platform. Tier Playbook: Read Enterprise playbook before outreach. (Post-acquisition, Brex evaluates more like an enterprise subsidiary than a growth-stage startup.)
Rubric scores: Company 7/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 2. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Carrier IQ (Agentic Lab 04). The posting names "delegation, supervision, correction" as the design surface. Carrier IQ's InsurTech quote automation solves the same structural problem: an AI agent handles the routine financial transaction, and the human needs to know when to intervene, what to check, and how to correct. The "money-trust" language maps directly to the trust ladder in "Trust Is the New Interface" (Watch → Verify → Delegate). You have built the agentic financial delegation surface as a live product. Not a concept. A shipped thing.
Verdict: Watch. The design problem is Act-quality. The company score (7) is not, because the acquisition killed the equity story. If comp matters less than portfolio value and AI exposure, this is still worth pursuing. The case study would be exceptional. Your call.

7. Affirm. Buy-now-pay-later platform with a new Agentic Experiences team designing how AI helps consumers in lending moments.

Stage / Size / Capital: Public (AFRM), post-IPO.
Offices: Remote U.S.
Value chain: Downstream consumer lending. Affirm is the point-of-sale financing surface. The Agentic Experiences role designs the AI layer that intervenes in the consumer's lending decision.
Best at: Transparent consumer lending. Affirm's brand is built on "no hidden fees," which creates a specific design constraint: AI suggestions must be equally transparent.
Signals: Staff Product Designer, Agentic Experiences posted 07/13. 11 days, fresh. New team, new posting. The "Agentic Experiences" framing signals a 0→1 build within an established product.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 2, Design influence 2, Trajectory 2. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with "Trust Is the New Interface" essay, bridge to Allē. Affirm's Agentic Experiences designer decides when and how AI intervenes in a consumer's lending moment. The essay's core argument lands here: users anchor to worst outcome, not average accuracy. One confident wrong lending suggestion does more damage than ten correct ones repair. Allē (30M members, 3.2× redemption) adds consumer financial behavior proof at scale. You walk in with a published thesis on the exact problem this team was created to address, backed by consumer financial conversion proof at 30M-member scale. Nobody else has both.
Verdict: Watch. Fresh posting, strong AI exposure, excellent portfolio value. Company score (8) is at threshold. The "Agentic Experiences" team name suggests early-stage mandate. Good for influence, risky for organizational support. Worth pursuing if the team has direct CPO sponsorship.

8. Socure. AI identity verification platform for financial institutions.

Stage / Size / Capital: Private, growth-stage.
Offices: Hybrid, San Francisco.
Value chain: Midstream risk infrastructure. Socure sits between financial institutions and identity/fraud signals, using AI to automate risk decisions. Design scope is the RiskOS platform where analysts and compliance teams act on AI-generated risk assessments.
Best at: AI risk decisioning that compliance teams at large banks actually use in production. Not a dashboard. An operating system for risk.
Signals: Staff Product Designer, RiskOS Platform posted 06/26. 28 days, extended. The "RiskOS" framing signals platform-level design scope.
Tier: Enterprise platform. Tier Playbook: Read Enterprise playbook before outreach.
Rubric scores: Company 9/12 — AI centrality 3, Stage/equity 2, Design influence 2, Trajectory 2. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Thermo Fisher mySupply. Socure's RiskOS designer builds the surface where compliance analysts review AI-generated risk assessments and decide whether to approve, escalate, or block. The exception-first design pattern (197 orders, surface the 3 that matter) is the exact pattern: from a stream of automated risk decisions, surface the ones that need human judgment. The 5 failure modes → 5 modules methodology maps to RiskOS's challenge of making different risk categories inspectable without overwhelming the operator. Alibaba's enterprise B2B experience (200K+ suppliers, institutional buyers) adds proof you can design for professional operators at scale. Socure's users are institutional risk professionals, not consumers. That distinction matters.
Verdict: Watch. 28 days, extended. Strong AI centrality (3) and portfolio match. The RiskOS platform framing suggests genuine design influence over the product architecture. Worth a Battlecard if the Acts and Stripe are in motion.

Platform Governance — Enterprise Systems

The design problem here: authoring, scaling, and making enterprise systems inspectable. Not "build a feature." Design the system that governs how features get built, deployed, and maintained. Your Alibaba case ($50B GMV) and Red Cross case (6 systems → 1) are direct proof.

One Act. Two Watch. Rubrik downgraded to Ignore-until-trigger (see top of board).

9. Vanta. Compliance and trust management platform with $300M ARR, 16,000+ customers, $4.15B valuation.

Stage / Size / Capital: Private, ~1,000 employees. Pre-IPO with meaningful equity.
Offices: Remote U.S.
Value chain: Midstream compliance platform. Vanta sits between companies and their compliance obligations (SOC 2, ISO 27001, HIPAA, GDPR), automating evidence collection and audit preparation. Design scope spans GRC, Trust, Platform, Self-serve, and AI.
Best at: Making compliance inspectable and continuous rather than periodic and opaque. Agentic compliance updates in July 2026 signal the shift from automated monitoring to AI agents that act on compliance gaps.
Signals: Head of Design posted 07/06. 18 days, fresh. Leading a ~40-person design org across five product areas.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 11/12 — AI centrality 2, Stage/equity 3, Design influence 3, Trajectory 3. Role 13/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 2, Portfolio value 3.
Portfolio match: Lead with Alibaba CS, bridge to Red Cross. Vanta's Head of Design governs a platform where 16,000 companies trust the system to tell them whether they're compliant. Alibaba's trust architecture ($50B GMV, +2.2pt NPS) proves you can design platform-level trust at enterprise scale. The confidence calibration before a buyer commits to a cross-border order is the same calibration a security team needs before trusting Vanta's compliance assessment. Red Cross adds the audit-trail design proof: FEMA compliance built into the design from day one, not bolted on after. Vanta's compliance audit trails are the same design pattern. You have both enterprise-scale trust architecture and regulated-system audit design. That combination is rare.
Verdict: Act. 18 days, fresh. Company 11, role 13. Pre-IPO at $4.15B with $300M ARR. The equity window is real. Head of Design with 40 reports is significant leadership scope. Move this week.

10. Capital One — Card Servicing. Card Servicing and Support Platform design for enterprise-scale internal tooling.

Stage / Size / Capital: Public (COF), one of the largest U.S. banks.
Offices: McLean, VA / Richmond, VA / NYC. Geographic flag: not SF-based. Confirm remote eligibility before investing outreach time.
Value chain: Internal platform. Designing the tools that Capital One associates use to author workflows, govern content, and orchestrate operational tasks for card servicing. Design influence is over the operational backbone, not the consumer surface.
Best at: The posting language is specific: "tools that author workflows, govern content, and orchestrate operational tasks." Platform governance design, not card UI.
Signals: Product Design Director posted 07/22. 2 days old, fresh.
Tier: Enterprise platform. Tier Playbook: Read Enterprise 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: Lead with Red Cross disaster relief platform. Capital One's Card Servicing designer builds the internal platform that associates use to manage card operations at scale. Red Cross's platform consolidation (6 systems → 1, 3 roles sharing one record, surge-ready architecture) is the closest analogue: designing an operational platform where multiple roles share a single system under real operational pressure. The "complexity in the system, not the interface" design principle from Red Cross is the exact philosophy this role requires. The associate shouldn't feel the complexity of workflow authoring and content governance. You have internal-platform proof where the users are operators under time pressure, not consumers browsing at leisure.
Verdict: Watch. 2 days old, fresh. Company score (7) is below threshold. Watch via role score (10). Geographic concern is real. The platform governance design problem is strong but equity and trajectory scores limit upside.

11. Dropbox. Cloud storage and productivity platform investing in AI, design systems, and multi-product governance.

Stage / Size / Capital: Public (DBX), mature.
Offices: Remote U.S. (select locations).
Value chain: Downstream productivity application. This Director role spans "next-generation product infrastructure, design systems, AI, governance, and multi-product coherence."
Best at: The posting frames this as a platform governance role within a consumer/prosumer product company. Rare scope for a Director at a mature public company.
Signals: Director, Product Design posted 06/29. 25 days, extended.
Tier: Enterprise platform. Tier Playbook: Read Enterprise playbook before outreach.
Rubric scores: Company 6/12 — AI centrality 2, Stage/equity 1, Design influence 2, Trajectory 1. Role 11/15 — Total comp 2, Scope 3, Craft depth 2, AI exposure 2, Portfolio value 2.
Portfolio match: Lead with Alibaba CS. Dropbox's Director unifies fragmented product surfaces into a coherent multi-product platform with shared design systems and governance. Alibaba's 3 cross-functional sprints across homepage, search, and PDP is the direct proof of multi-surface coordination at $50B GMV scale. The +20% transaction lift proves the coherence drove measurable business outcomes, not just visual consistency. You have multi-surface enterprise platform coordination proof with business impact. Single-product redesign proof, which is what most candidates at this level carry, won't land here.
Verdict: Watch. 25 days, extended. Company score (6) is below threshold. Watch via role score (11) only. Dropbox's trajectory (1) and equity window (1) limit upside significantly. Pursue only if the governance/multi-product mandate is a portfolio priority.

Agent Supervision — AI Oversight Surfaces

The design problem: how does a human oversee, correct, and delegate to an AI agent? Your Brand Pulse (Agentic Lab 01) is the direct published proof. A live agent monitoring system where every mention is scored in real time and the human watches the agent's judgment. TinyFish current role adds production-grade agent supervision credibility.

One Act. One Watch in verify-state.

12. Amplitude. AI analytics platform serving 4,700+ customers, transitioning from traditional analytics to an AI-native platform with embedded agents.

Stage / Size / Capital: Public (AMPL). CPO Gab Menachem joined April 2026, overseeing product, design, and growth.
Offices: San Francisco.
Value chain: Midstream analytics platform. Amplitude sits between product teams and their user data, now embedding AI agents that surface insights and recommend actions.
Best at: The transition from "analytics you query" to "agents that tell you what matters" is the company's defining bet. The Head of Product Design will shape what that supervision surface looks like.
Signals: Head of Product Design posted 07/07. 17 days, fresh. Leading a 15-person team. The CPO's 84-day gap between arrival and this posting suggests the mandate was shaped by product events during that window, including Statsig and Wave launches.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 10/12 — AI centrality 3, Stage/equity 2, Design influence 3, Trajectory 2. Role 13/15 — Total comp 2, Scope 3, Craft depth 2, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Brand Pulse (Agentic Lab 01). Amplitude's embedded agents surface product insights the way Brand Pulse surfaces brand sentiment: every signal scored in real time, with the human watching the agent's judgment and deciding whether to act. What does the human supervising an AI agent need to see to trust the output enough to make a product decision? But Brand Pulse alone isn't enough here. Alibaba's +7% DAU and +20% transactions prove you can design for analytics users who make decisions based on data surfaces at enterprise scale. You have both the live agent supervision surface (Brand Pulse) and the enterprise analytics platform redesign (Alibaba). That pairing is the pitch.
Verdict: Act. 17 days, fresh. Company 10, role 13. The CPO is 84 days in. The mandate is forming. This is the window. Lead with Brand Pulse, bridge to Alibaba for enterprise analytics proof.

13. Ramp. Financial automation platform with $1B+ annualized revenue, $44B valuation after a $750M Series F in June 2026.

Stage / Size / Capital: Private, Series F, 70,000+ customers. Pre-IPO with significant equity.
Offices: New York (hybrid). Geographic flag: not SF-based. Confirm remote eligibility.
Value chain: Downstream financial application. Ramp automates corporate spend management. AI agents handle routine financial tasks; the designer defines the oversight surface.
Best at: Speed of product execution in financial automation. Ramp ships faster than most fintech companies twice its size.
Signals: Director, Product Design posted 06/08. 46 days, verify-state. The Series F closed June 4, four days before this posting. The role is a direct consequence of the raise. But 46 days without update evidence is past the action window.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 11/12 — AI centrality 2, Stage/equity 3, Design influence 3, Trajectory 3. Role 13/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 2, Portfolio value 3.
Portfolio match: Lead with Alibaba CS. Ramp's Director designs the financial automation surface where AI agents handle corporate spend and the finance team supervises. Alibaba's enterprise platform redesign ($50B GMV, +20% transactions) proves you can design for professional operators making high-volume financial decisions at scale. The 3 cross-functional sprints across homepage, search, and PDP map to Ramp's multi-surface challenge (cards, expenses, procurement, bill pay). Coordinating design across multiple product surfaces that share a single financial operations backbone. You have enterprise-scale financial operations platform proof, not consumer or SMB fintech proof. That's the gap in Ramp's candidate pool.
Verdict: Watch — verify-state. 46 days. Would be Act if fresh (company 11, role 13). The $44B valuation and pre-IPO equity make this extremely attractive, but the posting age creates risk. Geographic concern: NYC hybrid. Verify the role is still active and confirm remote eligibility. If confirmed, escalate to Act immediately.

Decision Surfaces — AI-Generated Analysis for Human Judgment

Thin cluster, one entry. But the design problem is distinct enough from agent supervision to warrant separation. Agent supervision: overseeing an agent's autonomous actions. Decision surfaces: the user isn't watching an agent work. The user is making a judgment call based on what an agent found. Your Brand Pulse and Alibaba both apply. The match is strongest when the user is a professional analyst making high-stakes decisions based on AI-surfaced intelligence.

14. AlphaSense. AI market intelligence platform with $600M+ ARR, $7.5B valuation, featuring SuperAnalyst as an always-on AI research agent.

Stage / Size / Capital: Private, $350M raised June 2026. Pre-IPO with meaningful equity.
Offices: NYC headquarters. Geographic flag: confirm SF/remote eligibility.
Value chain: Midstream intelligence platform. AlphaSense sits between financial professionals and market data (filings, transcripts, research), using AI to surface insights. SuperAnalyst is the agentic layer.
Best at: AI-powered financial research at institutional scale. SuperAnalyst represents the shift from "search for information" to "agent that researches for you and presents what it found."
Signals: Senior/Staff Product Designer originally posted 04/29, updated 07/23. 86 days from original, but updated yesterday. The $350M raise (June 2026) and SuperAnalyst launch create strong counter-evidence for continued active search. At this level and in this specialized domain (financial intelligence AI), 86 days is within a plausible fill cycle.
Tier: Enterprise platform. Tier Playbook: Read Enterprise playbook before outreach.
Rubric scores: Company 11/12 — AI centrality 3, Stage/equity 3, Design influence 2, Trajectory 3. Role 13/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 3.
Portfolio match: Lead with Brand Pulse (Agentic Lab 01), bridge to Alibaba CS. AlphaSense's SuperAnalyst surfaces financial intelligence for analysts making investment decisions. Brand Pulse surfaces brand intelligence for marketing teams making brand decisions. Same design problem at the decision layer: the human receives agent-generated analysis and must decide whether the evidence is sufficient to act. Brand Pulse's hourly live health score and weekly agent-written narrative are the exact design patterns SuperAnalyst needs. Summarized agent output with enough provenance for the human to calibrate trust before committing to a judgment. Alibaba adds the enterprise professional-user proof at scale. The distinction from Agent Supervision: here the user isn't overseeing the agent's process, they're evaluating the agent's conclusion. You have built and shipped the live agent intelligence surface, not designed mockups of one.
Verdict: Watch — verify-state. 86 days from original, but updated yesterday with strong counter-evidence ($350M raise, SuperAnalyst launch, specialized domain). Company 11, role 13. Would be Act if fresh. Verify the role is still actively being filled and confirm geographic eligibility, then escalate.

0→1 AI Product Build

Two Watch entries, no Acts. The design problem is building the first AI-native product surface from scratch. Your Equinox+ (0→MVP in 3 months), Thermo Fisher (0→1 in 12 months), and TinyFish (3 products in 3 months) are direct proof of build velocity.

15. Babylist. Baby registry platform building AI-native product experiences for new and expecting parents.

Stage / Size / Capital: Private, growth-stage. Dominant in the baby registry category.
Offices: U.S. remote.
Value chain: Downstream consumer marketplace. This Director role owns Registry and is explicitly framed as "AI Builder."
Best at: The "AI Builder" title framing is unusually honest about the mandate. This is a build role, not a management role with AI sprinkled in.
Signals: Director, Product Design (AI Builder) posted 07/13. 11 days, fresh. $244,600–$305,700 salary plus bonus/equity.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 9/12 — AI centrality 2, Stage/equity 2, Design influence 3, Trajectory 2. Role 14/15 — Total comp 3, Scope 3, Craft depth 3, AI exposure 2, Portfolio value 3. (AI exposure at 2: building AI-native consumer product features is AI-adjacent work, not designing core trust/supervision/decision surfaces.)
Portfolio match: Lead with Equinox+, bridge via TinyFish. Babylist's AI Builder Director is building the first AI-native product surface for a consumer platform with an established user base and multiple product categories. Equinox+ (0→MVP in 3 months, 5 brands, 4.8★) proves you can build a new product surface from zero within an existing brand ecosystem, fast, with quality. The multi-brand challenge at Equinox+ (5 distinct fitness brands, each with its own identity and content strategy) maps to Babylist's multi-category challenge (registry spanning thousands of product categories, each with different recommendation logic). TinyFish adds the AI-native build credibility: 3 products shipped in 3 months, building with AI agents from zero. You have both the 0→1 consumer platform proof and current AI-native build velocity. Redesign proof won't land here. Build-from-zero proof will.
Verdict: Watch. 11 days, fresh. Role score (14) is among the highest on this board. Company score (9) is one point below Act threshold. The "AI Builder" mandate is exactly the kind of role that produces a portfolio-defining case study. Worth a Battlecard.

16. Gusto. HR, payroll, and benefits platform building a Unified Service Platform with AI-driven support.

Stage / Size / Capital: Private, late-stage. One of the largest HR tech platforms.
Offices: Denver, San Francisco.
Value chain: Downstream HR application. This Head of Design role is for a new Unified Service Platform combining AI-driven support with human expertise.
Best at: The posting frames the hardest design problem in AI-augmented service delivery: "human expertise that steps in when AI isn't enough."
Signals: Head of Design, Unified Service Platform posted 07/22. 2 days old, fresh. New platform, new leadership role.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 9/12 — AI centrality 2, Stage/equity 2, Design influence 3, Trajectory 2. Role 12/15 — Total comp 3, Scope 3, Craft depth 2, AI exposure 2, Portfolio value 2.
Portfolio match: Lead with Red Cross disaster relief platform. Gusto's Unified Service Platform designer builds the surface where AI handles routine HR support and human experts handle exceptions. Red Cross's caseworker-first design (3 roles sharing one record, surge-ready architecture) maps to Gusto's challenge: multiple support roles (AI agent, human specialist, supervisor) sharing one case in a system that must handle volume spikes without breaking. The "complexity in the system, not the interface" principle applies directly. The small business owner asking a benefits question shouldn't feel the handoff between AI and human. You have designed the multi-role operational platform where the handoff between automated and human is the core design surface.
Verdict: Watch. 2 days old, fresh. Company score (9) is one point below Act. The 0→1 platform build mandate is strong. Worth monitoring. If the company score moves (funding round, product launch), escalate.

Human-Agent Workflow

One Watch entry. The design problem is architecting shared workflows where humans and AI agents collaborate on the same tasks. Not supervision (watching the agent) but co-work (doing the work together). Your portfolio match here is moderate. TinyFish current role provides credibility, but no published case directly addresses the co-work pattern.

17. ClickUp. AI workspace platform where every team member is expected to use AI daily.

Stage / Size / Capital: Private, growth-stage.
Offices: U.S. remote.
Value chain: Downstream productivity application. The designer defines what human-AI collaboration looks like in a workspace where AI is a participant, not a tool.
Best at: The "every team member uses AI daily" mandate signals AI is embedded in the workflow, not bolted on.
Signals: Staff Product Designer posted 06/17. 37 days, extended. No trigger signal beyond the posting itself. No specific event (funding, leadership change, product launch) explains the timing.
Tier: Growth-stage platform. Tier Playbook: Read Growth-stage playbook before outreach.
Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 2, Design influence 2, Trajectory 2. Role 11/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 2, Portfolio value 2.
Portfolio match: Brand Pulse (Agentic Lab 01) is the closest published analogue, but the match is thinner than in the trust calibration or regulated AI clusters. Brand Pulse is a workspace where the human sets monitoring parameters and the AI agent executes, with the human reviewing the agent's output continuously. ClickUp's challenge is different: the AI isn't monitoring, it's participating in task management, document creation, and team coordination alongside the human. TinyFish adds daily production experience building AI that works alongside human operators. Analogous, not direct.
Verdict: Watch. 37 days, extended. Company score (8) is at threshold. Pursue only after the Act listings and stronger Watch entries are in motion.

Consumer AI Trust

One Watch entry. The design problem is earning trust in AI from end consumers who have no professional obligation to use the product. They can leave. Your portfolio is thinnest here. Allē (30M members) is consumer-facing but not AI-trust-focused. If you pursue, you're selling potential, not proof.

18. Headspace. Mental health and wellness platform with Ebb, an empathetic AI companion, serving 4,000+ employer partners.

Stage / Size / Capital: Private, PE-backed.
Offices: Remote U.S. or San Francisco hybrid.
Value chain: Downstream consumer health application. Ebb is the AI companion layer. The designer shapes how consumers trust an AI with their mental health.
Best at: The stakes of consumer AI trust in mental health are uniquely high. A wrong AI response isn't a bad recommendation. It's a potential harm.
Signals: Staff AI Product Designer posted 07/20. 4 days old, fresh. Posting emphasizes AI-powered prototyping and research synthesis alongside the Ebb product surface.
Tier: Healthcare/Regulated. Tier Playbook: Read Healthcare/Regulated playbook before outreach. (Consumer-facing but the mental health context creates regulated-adjacent constraints.)
Rubric scores: Company 8/12 — AI centrality 2, Stage/equity 2, Design influence 2, Trajectory 2. Role 12/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 3, Portfolio value 2.
Portfolio match: Lead with "Trust Is the New Interface" essay. Headspace's designer must solve the consumer AI trust problem in mental health, where the essay's core argument hits hardest: users anchor to worst outcome, not average accuracy. One wrong empathetic AI response does more damage than ten helpful ones repair. The Watch → Verify → Delegate framework maps to the consumer's journey from trying Ebb to trusting it with vulnerable moments. Allē (30M members) adds consumer scale proof. Thinner portfolio match than the regulated or financial clusters. You have the conceptual framework and the consumer scale, but no published case where the trust problem involves AI-generated emotional or clinical content.
Verdict: Watch. 4 days old, fresh. The consumer AI trust problem in mental health is worth the investment if the domain pulls you. Portfolio match is thinner than your top clusters. Pursue if you want to build the case study, not because you already have the proof.

Infrastructure / Developer AI

Two Watch entries. The design problem is developer-facing: designing AI tooling for engineers, not end users. Your portfolio has no published developer-tooling case. This is your weakest conversion zone. TinyFish provides some credibility (building infrastructure that developers deploy), but these roles evaluate for developer empathy your published work doesn't demonstrate. Positioning uphill.

19. Render. Cloud infrastructure platform for deploying AI-native applications, $1.5B valuation after $100M raised February 2026.

Stage / Size / Capital: Private, Series C.
Offices: Remote U.S.
Value chain: Upstream developer infrastructure. Render is the deployment layer. Developers build on Render.
Best at: Simplifying cloud deployment for developers building AI-native apps. The design problem is making infrastructure invisible.
Signals: Staff Product Designer posted 07/13. 11 days, fresh.
Tier: AI-native. Tier Playbook: Read AI-native playbook before outreach.
Rubric scores: Company 10/12 — AI centrality 2, Stage/equity 3, Design influence 2, Trajectory 3. Role 10/15 — Total comp 2, Scope 2, Craft depth 3, AI exposure 2, Portfolio value 1.
Portfolio match: Weakest match on the board. No published case addresses developer-facing infrastructure design. TinyFish current role (enterprise web agent platform) provides domain adjacency. You're building infrastructure that developers deploy. But this is credibility by proximity, not portfolio proof. If you pursue, frame the Alibaba platform redesign as "complex platform UX for professional operators." It's a stretch.
Verdict: Watch. Fresh posting, strong company (10/12), but portfolio value (1) is the lowest on the board. Pursue only if developer infrastructure is a direction you want to grow into.

20. Perplexity. AI-native search platform building design systems infrastructure.

Stage / Size / Capital: Private, high-growth AI company.
Offices: SF, NYC, Remote U.S.
Value chain: Downstream AI application, but this role is infrastructure: Design Systems Lead owning semantic tokens, GitHub contribution governance, and AI-native systems workflow.
Best at: One of the few AI-native companies where design systems must evolve at the speed of model capability changes.
Signals: Design Systems Lead posted 07/09. 15 days, fresh.
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 9/15 — Total comp 2, Scope 2, Craft depth 2, AI exposure 2, Portfolio value 1.
Portfolio match: Weakest match alongside Render. No published case addresses design systems infrastructure or developer-facing governance tooling. The role requires GitHub fluency, semantic token architecture, and contribution governance. None of which appear in the published portfolio. If you pursue, you're selling potential, not proof.
Verdict: Watch — portfolio gap is real. Company score (11) is among the highest on the board. Role score (9) is below the 10 threshold. Watch via company score only. The pre-IPO equity at Perplexity's trajectory is compelling, but the portfolio match is the thinnest on this board.

Scanned and Empty

AI Practice / Org Transformation. I looked for roles where "AI" names a design-org evolution mandate rather than a product surface. Companies hiring design leaders to transform how the design function itself works with AI tooling, workflows, and quality definitions. Zero qualifying roles found. The absence is worth noting: companies are hiring designers to build AI products, not (yet) to transform design orgs around AI. If this cluster surfaces in a future scan, flag it as a distinct evaluation. The portfolio match would be TinyFish's operating-model experience, not any published case.

Board Summary

Cluster	Entries	Acts	Portfolio Strength	Your Move
Regulated AI	4	3	★★★	Highest priority. Three Acts, direct proof.
Trust Calibration	4	1	★★★	Stripe is the single highest-scoring role.
Platform Governance	3	1	★★★	Vanta is the Act. Strong equity window.
Agent Supervision	2	1	★★☆	Amplitude is the Act. Ramp verify-state.
Decision Surfaces	1	0	★★☆	AlphaSense verify-state. Verify geo, then escalate.
0→1 AI Product	2	0	★★☆	Babylist role score (14) near top. Company holds it at Watch.
Human-Agent Workflow	1	0	★★	Thin cluster, thinner match. Monitor.
Consumer AI Trust	1	0	★☆	Portfolio gap. Lead with essay + TinyFish.
Infra/Developer AI	2	0	★	Portfolio gap. Only if building in this direction.

Ignore-until-trigger:

Rubrik — 169 days. Trigger: new Director+ design posting, or confirmed active search.
Chime — 176 days. Trigger: reposted as new role, or confirmed active search.

This week's priority queue

Six Acts. Start here. Everything else is Watch until these are in motion.

Stripe — Act. Combined score 25, pre-IPO equity at generational valuation. Move today.
Maven VP Design — Act. Regulated AI, direct proof, VP scope. Extended but updated.
Vanta — Act. Pre-IPO, $300M ARR, Head of Design scope. Fresh.
Amplitude — Act. CPO mandate forming, 84-day gap window. Fresh.
Ambience — Act. AI centrality 3, clinical AI, SF-based. Extended.
Maven Senior Staff — Act. Same company as #2, craft-depth alternative. Pick one.

Things to follow up on...

Ramp's $44B verify-state: The Director, Product Design posting is 46 days old but was posted four days after Ramp's $750M Series F closed, making it a direct consequence of the raise — verify active search and remote eligibility, then escalate immediately.
AlphaSense geographic eligibility: The Senior/Staff Product Designer role was updated yesterday with $350M in fresh funding behind it, but NYC headquarters means SF/remote eligibility needs confirmation before investing outreach time.
Vanta's agentic compliance shift: July 2026 product updates include custom agents, agent-assisted Trust Center workflows, and QAuto smart answer detection, which reframe the Head of Design mandate from compliance monitoring to agent governance — use this in outreach.
Amplitude's CPO mandate window: Gab Menachem's April 2026 CPO appointment plus the 84-day gap before posting the Head of Product Design role means the mandate was shaped by Wave and Statsig launches — lead outreach with a point of view on human-agent analytics, not a generic application.