Trigger
R243245 (posted 05/28/2026, reachable July 3-4) now returns an error page and does not appear in Capital One's requisition search. A posting live for five-plus weeks before disappearing suggests the search ran. The role existed; its current status is unresolved. Confidence the mandate is real: high. Confidence the specific req is still live: low.
Unknown until you confirm. Restructured reqs at companies this size typically reappear within 2-4 weeks under a fresh ID. Filled roles stay gone. Paused roles return unchanged. You cannot distinguish between these outcomes by refreshing a URL. Confirm this week.
The Mandate Survives the Req
The mandate to integrate AI across Capital One's hundreds-person XD org is alive regardless of what happened to this specific posting. The surrounding postings prove it: design systems with LLM workflows, research with AI-enabled continuous discovery, an enterprise-wide AIPM initiative across ~75 product towers. What you need to know: is the leadership seat that drives it filled, resetting, or restructured.
Confirmation Protocol
Do these in order. Stop when one resolves it.
1. Search the mandate, not the req. Go to Capital One careers, search "AI" + "Experience Design" filtered to Design. You're looking for a reposted version with a new ID and similar language: Director-level, AI integration across XD, reports to CDO. Fresh posting date = restructured req, live search. Revised language tells you what the first search taught them they actually need.
2. Read the surrounding postings. A Design Systems role (R244292) posted June 12 names AI-native design guardrails, automated agent execution, and LLM workflows including Claude. A Senior Director, Research & User Intelligence (R244903) posted June 18 calls for AI-enabled continuous discovery and automated research workflows. An AI in Product Management role (R246345) posted July 8 describes a charter founded late 2025 to deploy AI across ~75 product towers. If R243245 was filled, the person in that seat is now hiring into this ecosystem. If restructured, the replacement will carry the same DNA.
3. Check Daniela Jorge's LinkedIn. A "thrilled to welcome" post in the next two weeks = filled. Posts about XD transformation or AI integration = mandate active, search possibly resetting.
4. DM someone on her leadership team. Jorge's May 18 post names her senior orbit: Jen Cardello, Patrick Dohan, Deidre Kolarick, Fahad Osmani, Renee McKeon Rives, Lucas Pettinati, Kim Johnson-Woody, Michael O'Connor, Alanna Y., Caroline Finnell Gaines. A brief professional inquiry to any of them resolves this faster than any URL monitoring.
If filled: Pivot to R244903 (Senior Director, Research & User Intelligence). That posting's call for "AI-enabled continuous discovery" is the research-side version of the trust framework you've already built. Your angle translates directly.
If paused: Monitor weekly. The mandate lives.
Your Angle — If Confirmed Live
Lead with Trust essay and Agentic Labs. The case studies come second. This role defines how a hundreds-person XD org works with AI. It's an org transformation seat, and the person who fills it needs to have already thought through the trust architecture that makes AI-assisted design practice coherent at scale.
Narrative fit: You wrote the design framework for human-AI trust handoffs before Capital One posted the role that needs one. "Trust Is the New Interface" names the exact problem their XD org is now operationalizing: accuracy is what the model achieves, consistency is what the design delivers. Agentic Labs (Brand Pulse, Retail Velocity, Carrier IQ) proves you've built working agentic systems, not theorized about them. Alibaba ($50B+ GMV, +20% transactions) and Thermo Fisher (6 pharma partners, $20M+ margin, full regulatory constraint) serve as your enterprise credibility layer. They prove you've operated at institutional scale. They follow the trust framework; they don't lead it.
Who to Contact
Daniela Jorge — SVP and Chief Design Officer, Capital One. LinkedIn. ~3 years in role (joined mid-2023 per her own May 18 post). Mountain View-based.
Public fingerprint: Her recent signal is research velocity and leadership alignment. She has not discussed AI integration into design practice publicly. Her May 13 post frames deep customer insights as a speed-and-conviction asset, amplifying Jen Cardello's Fast Company piece on avoiding "research theater." Her May 18 post describes a bi-annual leadership offsite focused on H2 priorities.
Warm intro path: Cold. No BCG DV, Alibaba, ADPList, or Designer Fund Bridge overlap surfaced. If you recognize anyone on her named leadership team above, that's your warm channel.
Channel: LinkedIn cold DM. Anchor to her research-velocity signal.
Outreach Messages
Warm message (if you find a path through her leadership team):
[Name] mentioned your work scaling XD at Capital One. I spent the past year building agentic AI systems (Brand Pulse, Retail Velocity, Carrier IQ, live at junochen.com) and published "Trust Is the New Interface," a framework for the five handoffs where human-AI trust breaks down. Before that I led design at Alibaba.com ($50B+ GMV) and built pharma supply-chain systems at Thermo Fisher under regulatory constraint. I'd welcome the chance to discuss how I might contribute to the AI-in-Experience Design work your team is building. Would a brief conversation make sense?
Cold message (LinkedIn DM to Daniela Jorge):
Your post on deep customer insights as a speed-and-conviction asset, and Jen Cardello's research-theater piece you amplified, landed for me. I spent the past year building agentic AI systems (Brand Pulse, Retail Velocity, Carrier IQ, live at junochen.com) and published "Trust Is the New Interface," a framework for the five handoffs where human-AI trust breaks down. Before that, I led design at Alibaba.com ($50B+ GMV) and built pharma supply-chain systems at Thermo Fisher under full regulatory constraint. I'd welcome the chance to discuss the AI-in-Experience Design work you're building across XD. Would a brief conversation make sense?
What not to say:
- Do not mention the posting's disappearance. Tracking requisition URLs reads as surveillance. Ask a leadership-team member instead.
- Do not lead with product design case studies. Leading with Alibaba or Thermo Fisher positions you as a product design director. The hiring committee for this seat is evaluating whether you can architect how 200+ designers work with AI across an enterprise org. Different buyer, different lead.
- Do not position yourself as someone who will "bring AI to design." The posting cluster shows Capital One already has AI integration underway across design systems, research, and product management. They need someone who can architect the trust and governance framework for AI that's already arriving. Hiring committees hear that distinction immediately.
The Non-Obvious Thing
The AI in Product Management posting (R246345), posted July 8, describes collecting AI experimentation data from ~75 VP+ Product Towers and maintaining a living map of AI champions. There is a parallel AI transformation initiative on the product management side with its own infrastructure and executive sponsorship.
"How does the XD AI transformation coordinate with the AIPM initiative across those ~75 towers?"
Ask this in the first ten minutes. It signals you understand the organizational complexity of what they're attempting. Nobody else walking into that room will think to ask it. Source: live posting, R246345.
Warning Signs
Jorge has not discussed AI integration into design practice publicly. Her signal is research velocity and leadership alignment. The AI-in-XD mandate comes from the job postings, not from her personal public voice. This could mean the mandate is organizationally driven rather than CDO-driven, which changes the political dynamics of the role. Worth probing early: how did this role originate? The answer tells you whether you'd have air cover or be building the case yourself.
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Capital One's design-systems posting (R244292): The Manager, Product Design – Design Systems role explicitly names Claude, automated agent execution, and AI-native design guardrails, making it the clearest public evidence of how Capital One's XD org is already operationalizing AI at the component level.
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Jen Cardello's research-velocity framework: Jorge amplified Cardello's Fast Company piece on avoiding "research theater", which argues for standardized learning agendas and decision-relevant questions over performative research cycles — language worth mirroring if you get into conversation about how AI changes the XD research practice.
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The Senior Director, Research & User Intelligence posting: R244903 calls for AI-enabled continuous discovery tools, synthetic personas, and automated research workflows across a 10-person team — your fallback target if R243245 is confirmed filled.
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Ramp's Director, Product Design is the strongest parallel live signal: its Ashby posting describes design building tools and agents, shipping PRs, and defining how design works in an AI-native world, with Diego Zaks (VP Design) as a publicly identifiable buyer.

