ChatGPT Enterprise scale
~1,000 users
~800 daily active users
AI Product Leadership
Building AI products that deliver meaningful impact
I turn new AI capability into practical products, workflows, and use cases that teams use, trust, and scale.
Commerce impact
~$16M
annualized checkout upside
Systems simplified
16 -> 9
~2,000 hours saved annually
AI lift
~$2.7M
projected annual impact
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Quick starts
Choose a common lens and the site will recommend where to start without gating the rest of the portfolio.
Portfolio structure
Organized around proof, not PM archetypes
The homepage is built to answer the most useful hiring questions quickly.
Enterprise AI adoption
Pilots, rollout systems, and guardrails that turn new capability into real usage.
Systems simplification
Commerce and operations work tied to measurable business outcomes, not just cleaner workflows.
AI-native execution
Live products and grounded concepts that make promising workflow ideas tangible fast.
Featured case studies
The case studies that make the strongest case fastest
Each one shows a different dimension of senior AI product leadership: enterprise adoption, platform thinking, and systems-level business impact.
Senior Product Manager, Contact Center & AI Strategy
The Guitar Center Company2024-2026
ChatGPT Enterprise from pilot to operating model
Annualized pilot impact
~$2.7M
Licensed users scaled
~150 -> ~1,000
Daily active users
~40 -> ~800
A recruiter-friendly story about taking AI from early promise into real production environments with measurable impact.
Senior Product Manager, AI Platform Strategy
Enterprise AI / Platform2024-2026
From AI experiments to platform foundations
ORIGIN POINT
Validated AI concept
CUSTOMER SIGNAL
87% would use again
STRATEGIC SHIFT
From one-off prototypes to repeatable AI systems
A strategy story about how an early customer-facing AI prototype and UX validation shaped my thinking around reusable systems, workflow-based adoption, and platform direction.
Senior Product Manager, Commerce
The Guitar Center Company2023
Better execution, faster checkout, measurable growth
Annualized impact
~$16M
Checkout speed
30% faster
Delivery outcome
12-week launch
A high-stakes checkout redesign that succeeded not just because of the experience changes, but because better product, UX, and engineering collaboration led to stronger decisions during build, a cleaner launch, and measurable lift.
Live products
AI-native products that show execution, not just ideas
From live alpha builds to early-stage concepts, these projects show AI-native product execution with clear scope, working artifacts, and honest stage framing.
Open alphaLive Product
LaunchMuse
Prototype velocity
Built in ~10 hours
Product stance
Narrative-first wedge
Current status
Live alpha
A live product case study about narrative-driven release planning, sharp product scoping, and how quickly a PM can now move from concept to working software.
Concept in progressEmerging Product
Immunology Scout
Product stage
Early-stage concept
Core job
Paper + patent scouting
Trust requirement
Traceable workflow
An early-stage research grounding product combining literature and patent signals for trustworthy immunology exploration.
Live prototypeProduct Artifact
OMS ChatGPT App
Environment
Simulated OMS data
Workflow scope
Lookup + cancellation
Design priority
Trust and control
Conversational OMS prototype showing how AI can support order lookup and cancellation inside enterprise workflows with clear safeguards and user control.
How I think
A product point of view shaped by operating models, not slogans
Short essays that make the leadership logic visible behind the case studies.
Thinking4 min read
AI doesn’t fail because of the model
Most enterprise AI plans make the model choice feel like the big decision. In practice, the harder work is workflow fit, trust, champions, governance, and the middle layer that makes AI usable inside real systems.
- Start with a workflow, not a model decision.
- Adoption needs champions, trust, and an operating rhythm.
- The real product is the system around the model.
Thinking7 min read
Product leadership is systems design
An essay on product leadership as systems design, with operating-model artifacts used as proof.
- Product leadership is about how decisions get made, not just roadmap taste.
- The operating model is part of the product outcome.
- Making the system visible is what lets teams improve it intentionally.
Recommendations
Selected recommendations from leaders and technical partners
Short excerpts that reinforce the same signal as the work itself: business impact, strategic clarity, and strong cross-functional trust.
LinkedIn
A true business partner, not just a glorified project manager.
Executive partner across contact center modernization, roadmap ownership, and AI adoption.
Zac Bogart
C-suite leader overseeing ecommerce, digital marketing, and contact center
The Guitar Center Company
LinkedIn
Rare combination of strategic foresight and execution.
Connected Daniel's work to reusable GPT workflows, ChatGPT Enterprise rollout, and executive trust.
Sumanth Cherukuri
VP of Technology and AI leader
The Guitar Center Company
LinkedIn
Kept UX, engineering, and business aligned from definition through rollout.
Engineering partner who highlighted strong story definition, reliable execution, and calm partnership.
Christopher Pruneau
Senior Front-End Developer
The Guitar Center Company
Direct
Turned ChatGPT integrations and guardrails into clear product strategy.
Technical partner who called out executive alignment and translation of complex AI ideas into practical direction.
Daniel Das
Senior Software Engineer
AI Platform / Enterprise Systems
LinkedIn
Daniel has been a tremendous partner across the many different initiatives we've worked together on.
Sean described Daniel as an insightful, collaborative problem solver who was at the forefront of Guitar Center's early AI efforts while helping craft processes that enabled business efficiency and kept data protected.
Sean Richardson
Information Security Manager
The Guitar Center Company
Creative edge
Music stays in the portfolio as a differentiator, not a detour
My background in composition sharpens systems thinking, narrative craft, and taste. It shows up in how I frame ambiguity, prototype fast, and design product experiences that feel coherent instead of stitched together.
Contact
Looking for a product leader who can understand the system, not just the roadmap?
I do my best work in environments that value both building and thinking. Review the work, then reach out if that matches the kind of product leadership you need.