Application for
Manager, Solutions Architecture, Applied AI
01 — The Thesis
Great SAs aren't born. They're coached. Winning teams are built on preparation, consistency, and a manager who clears the path so the team can do their best work.
I focus on the fundamentals: sharpen discovery, raise the bar on every demo, build repeatable frameworks, and create an environment where SAs grow into trusted advisors — not just technical resources.
That's how teams scale.
People equipped by AI tools I've shipped
Revenue closed through technical engagements
Direct reports coached and developed
Global coverage: NAM, LATAM, EMEA, APAC, UAE
02 — The Journey
Every role taught me something different.
Together, they taught me how to build teams that make complex technology simple for buyers and builders alike.
The Foundation
NextLeft → FinancialAid.com → WebSideStory
“I started in design and information architecture — learning how to make complex systems feel simple for the people who use them.”
The Scale
Yahoo!
“6.5 years cultivating technical relationships with Yahoo's largest programmatic advertisers. First taste of technical customer engagement at scale.”
The Startup Era
Tealium → Signal → Origami Logic → Salesforce
“Early-stage technical work during the rise of the CDP. Learned to navigate ambiguity, build from scratch, and ship with customers.”
The Delivery Side
Bluewolf (IBM)
“Shifted to post-sales implementation. Learned what happens after the deal closes — and why shipping quality code matters more than the pitch.”
The Leadership
Mastercard
“Built and led a technical team from the ground up. Designed the hiring framework, onboarding program, and enablement curriculum — then built the AI systems that made the whole organization more effective.”
03 — The Work
I never stopped building. These are the production systems, AI tools, and side projects I've shipped — always hands-on, always learning.
SE Workbench
From brand name to custom demo in 5 minutes.
Built an agentic AI platform that transformed how our global technical team prepares for customer engagements. Architected LangChain-based orchestration with an extensible MCP backend that autonomously researches prospects, synthesizes data, and generates production-ready demonstrations.
Loyalty CFx
Production-grade consumer experiences for enterprise deployments.
Architected and led development of a suite of fully-functioning mobile and web loyalty experiences — retail, QSR, fuel, and airline — serving as the primary platform for customer demonstrations and proof-of-concept deployments across our global organization.
Conversational Loyalty AI
Real-time reasoning over live data through natural language.
Built a generative AI interface using Claude that queries live loyalty program data, explains point valuations, and recommends redemption strategies through natural conversation. Presented to executive leadership as a vision for the product roadmap.
Role-Based AI Agents
Deployed to 400+ people across the organization.
Championed and led the rollout of AI-powered assistants across Solutions, Delivery, and Product teams. Built a centralized RAG architecture supporting RFP responses, technical enablement, and knowledge management — scaling from pilot to enterprise-wide adoption.
04 — The Vision
What I'd do as Manager, Solutions Architecture, Applied AI at Anthropic. A 90-day plan for leading and growing the Industries SA team.
This is a hypothesis, not a prescription. Real plans come from listening first.
Objective
Earn trust with the team and understand how the business actually works.
Actions
- 1:1s with every SA to understand strengths, motivations, and blockers
- Ride-alongs on live deals across Industries verticals — financial services, healthcare, retail
- Shadow cross-functional partners: AEs, CSMs, Product, Engineering, and Partners
- Audit the current demo environments, tools, and evaluation frameworks
- Review win/loss data and pipeline across Claude for Enterprise, Claude Code, and the API
- Map the pre-sales → post-sales handoff and identify friction points
Key Questions
- →Where are technical evaluations stalling and why?
- →What does each SA need from me to do their best work?
- →How are enterprise AI adoption strategies scoped and executed today?
- →What product feedback is stuck in the field and not reaching Product?
Anthropic-Specific
I'd focus on understanding how Claude for Enterprise, Claude Code, and the API are positioned across Industries verticals — because that's where the biggest adoption opportunities live.
05 — Let's Talk
I'd love to be part of
what you're building.
I'm ready to discuss how my experience building AI-powered tools, leading pre-sales teams, and driving enterprise adoption can help Anthropic scale the Solutions Architecture practice in Applied AI.