UX Design Manager, Amazon
UX design leader shaping Amazon's AI-powered hiring ecosystem.
I set the UX vision for a portfolio of AI-powered hiring products, scale the design organization behind it, and partner with product leadership to turn long-range strategy into executable roadmaps.
Executive Narrative
I operate where executive UX strategy, org leadership, and complex service systems meet.
I translate fragmented talent systems into a coherent experience agenda for hiring managers, recruiters, interns, candidates, employees, and the teams building for them.
I build the conditions for design to influence at scale: durable UX principles, interaction models, usability feedback loops, roadmap rituals, and design standards that help PM and engineering execute with shared conviction.
My role is to make the future visible from a UX point of view: define the experience bets, clarify tradeoffs, and give product leaders a stronger basis for prioritizing what to build next.
Scale And Outcomes
Design leadership measured in portfolio clarity, execution quality, and enterprise scale.
Set the UX direction for decision-support moments where hiring managers need clearer signals, judgment, and confidence.
Established a stronger model for moving from ambiguous strategy to testable concepts, aligned roadmaps, and buildable work.
Reframed recruiter workflows around strategic judgment, relationship quality, and reduced coordination burden.
Directed a guided lifecycle model that made global intern milestones easier to understand, complete, and scale.
Visualized a future-state experience that moves disconnected hiring tools toward persona-centered journeys across sourcing, interviewing, mobility, and onboarding.
Built the UX organization, rituals, and quality bar needed to support an expanding enterprise product portfolio.
Led UX strategy across sourcing, hiring, recruiting, intern programs, internal mobility, and employee onboarding.
Turned a fragmented service landscape into a future-state UX roadmap for connected hiring and onboarding journeys.
Amazon portfolio
Selected work across the hiring ecosystem.
Each story is framed around portfolio vision, design organization leadership, executive alignment, and high-quality cross-functional execution. Internal implementation details are intentionally summarized for external review.
Hiring Hub | Hiring manager platform
Set the UX north star for a hiring manager workspace grounded in decision clarity.
Hiring managers were moving across disconnected systems, manual approval chains, recruiter updates, and opaque candidate pipelines. I set the UX agenda for a workspace organized around manager intent: understand role health, see what needs attention, review candidate evidence, and make confident next-step decisions from one trusted operating view.
- Audience
- 50K+ hiring managers
- Shift
- 10+ tools to one platform
- Impact
- 21% -> 50.6% quality identification
- Established the information architecture for task prioritization, pipeline visibility, and candidate decision-making.
- Defined experience principles for explainable AI summaries, match signals, and manager control.
- Kept the UX north star visible in product leadership conversations and roadmap sequencing with PM and engineering.
Recruiting Hub | AI-native recruiter platform
Reframed recruiter UX around strategic judgment, not manual coordination.
Recruiting workflows carried too much operational drag: status gathering, communication follow-ups, repetitive templates, and workflow triage. I shaped the experience vision for an AI-native recruiter platform where automation handles coordination and recruiters stay in control of relationships, judgment, and pipeline strategy.
- Efficiency
- 40% manual tasks targeted
- Savings
- $19.2M operational opportunity
- Time
- 481,217 annual hours returned
- Defined the UX opportunity space for triage, reminders, summaries, and next-best-action guidance.
- Mapped where recruiter action, hiring manager visibility, and candidate experience need to intersect.
- Set portfolio-level principles for trust, control, and explainability in AI-assisted recruiter work.
Intern Hub | Global university talent platform
Directed the UX model for a guided intern lifecycle across countries and roles.
Intern programs are operationally dense: mentors, managers, evaluations, milestones, regional rules, and communications all compete for attention. I directed the UX model that simplified 120 touchpoints into a smaller set of guided workflows for managers, mentors, and interns, using usability feedback to clarify priority actions and reduce cognitive load across audiences.
- Reach
- 19K interns
- Coverage
- 45 countries
- Outcome
- 370,500 annual hours saved
- Set milestone-driven task models that made evaluation moments easier to find and complete.
- Created mobile-first experience principles for distributed audiences and time-sensitive program actions.
- Connected usability improvements to satisfaction gains across the intern lifecycle.
Employee Onboarding Experience | 2026-2029 vision
Visualized a multi-year UX roadmap for a global employment lifecycle platform.
Onboarding and employment services span background checks, work authorization, relocation, medical checks, contingencies, and support. I visualized the future-state experience for a unified, milestone-driven journey that hides operational complexity from candidates and employees while giving service teams clearer intelligence about risk, status, and next steps.
- Scope
- 67 countries
- Systems
- 163 disconnected systems
- Transactions
- 8M+ annual touchpoints
- Anchored the UX north star around first-party journeys, self-service support, and milestone clarity.
- Translated operational complexity into executive-level experience principles for status, guidance, and escalation paths.
- Visualized a 2026-2029 UX roadmap from journey foundations to an intelligent lifecycle platform.
Past work
Before Amazon, I designed enterprise products across procurement, industrial systems, and connected mobility.
Amazon is my current scale story, but my practice was built across multiple enterprise contexts: simplifying configuration complexity, leading discovery research, and translating customer evidence into product direction.
Designed the future of SAP Ariba configuration for 3.6M users across 190 countries.
SAP Ariba Intelligent Configuration ManagerEnterprise administrators had to manage complex configuration changes across a broad SAP Ariba portfolio with limited visibility, auditability, and self-service control.
I led the product design for Intelligent Configuration Manager, simplifying setup workflows and partnering across product, engineering, QA, and visual design.
Shipped the first release within 9 months, informed by stakeholder and customer usability testing with teams including Bank of America, IBM, Intuit, Ford, and Deloitte.
Led early discovery for industrial monitoring tools and connected mobility concepts.
Cisco Industrial Network DirectorIndustrial operations teams needed clearer visibility into factory-floor networks, machine sensors, and connected systems that were difficult for non-IT users to monitor.
I worked directly with product managers and customers to shape discovery for Industrial Network Director and connected mobility concepts.
Turned interviews, surveys, and customer evidence into early product direction for industrial monitoring and autonomous vehicle communication opportunities.
Design Leadership
The work behind the work: scaling the UX organization and operating model behind the portfolio.
I create leverage through people leadership, executive alignment, UX strategy, prioritization, and quality systems.
Scaled UX from 0 to 12
Built the design organization needed to cover a growing portfolio across hiring, recruiting, intern, mobility, and onboarding experiences.
Created the design operating system
Established intake, prioritization, workback planning, critique, usability testing, and decision rituals that made quality repeatable.
Shaped executive roadmap decisions
Used UX signals, systems mapping, and future-state narratives to help product leadership choose the highest-leverage bets.
Made the long-term direction visible
Created future-state flows, experience principles, and roadmap narratives that aligned teams beyond the next feature.
How I Lead
My default is to make complexity legible, then turn it into an actionable UX agenda.
Start with the whole service, then decide which user moments deserve design precision.
Bring usability signals and user feedback into roadmap conversations while investment choices are still open.
Design AI around trust: explainability, user control, and clear handoffs to human judgment.
Scale through talent density, decision hygiene, executive narratives, and a shared language across UX, PM, and engineering.
About
I bring systems thinking, design craft, and executive product leadership fluency.
My work sits inside complex enterprise systems, but my practice is grounded in a simple belief: teams make better products when UX vision, roadmap priorities, team structure, and execution rituals are designed together.
I am a UX design leader at Amazon focused on AI-powered hiring, recruiting, intern, mobility, and onboarding experiences. I lead through ambiguity by turning fragmented workflows into a portfolio-level UX agenda, then building the team conditions needed to deliver with quality.
Outside of my day-to-day leadership work, I stay active in the broader design community through mentoring, judging, portfolio coaching, and public writing about UX leadership, career growth, and creative practice.
Top 1% mentor on ADPList
I mentor designers on portfolio strategy, experience quality, management transitions, and navigating ambiguity.
Orpetron jury member and AIVA.org judge
I review digital work through the lens of craft, clarity, originality, visual quality, and the strength of the user experience.
In the news
Articles and features about my design work, leadership, and creative practice.
A curated list of press, interviews, and public features.
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