AI Product Leadership

Building AI products that create business value and improve human work

I build AI-enabled products and adoption strategies that turn emerging capability into measurable outcomes while helping people do better, more creative, and more meaningful work.

Daniel Nash smiling in a close-up portrait with a colorful painting softly blurred behind him.

ChatGPT Enterprise scale

~1,000 users

~800 daily active users

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

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What I optimize for

Business value, trusted adoption, and better human work

The strongest AI products improve the numbers and the experience of doing the work. I focus on both.

Measurable value

Revenue, productivity, time savings, adoption, and workflow transformation tied to real operating needs.

Trusted adoption

Transparent change, practical guardrails, and rollout systems that people can understand and rely on.

Human capability

Products that help people think better, create more confidently, and spend more time on meaningful problems.

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.

Sanitized ChatGPT Enterprise hero visual showing the path from pilot to operating model with discovery, governance, pilot, scale, champions, OpenAI GTM partnership, and executive support.
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.

Product visual for the Sound Synthesist custom GPT experience for Guitar Center customers.
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.

Checkout redesign header illustration showing delivery, order summary, and payment visuals.
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.

LaunchMuse campaign wizard screenshot showing the product's release planning flow.
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.

Immunology Scout screenshot showing a literature scouting workflow for immunology research.
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.

Stylized presentation of the OMS ChatGPT App web prototype used as a hero asset.
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 point of view on AI value, responsibility, and human potential

Essays that connect the operating logic behind the work with the future I want AI products to help build.

Thinking7 min read

The Side of AI I Want to Be On

AI can create enormous business value. The question is whether we use that capability only to reduce work, or also to help people learn, create, discover, and flourish.

  • Business impact and human flourishing are not opposing goals.
  • Trust requires honesty about how AI will change work.
  • The best AI products expand creativity, learning, access, and human agency.
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.

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.

Senior PartnerLinkedIn
One of the rare few who can actually execute AI strategy — and knows the difference between a compelling demo and a deployable solution.

Don was senior to Daniel but didn't manage Daniel directly

Don Worsham

Director: Strategic Contracts, Sourcing, and Spend

May 26, 2026

View on LinkedIn
C-suite PartnerLinkedIn
At the tip-of-the-spear of AI adoption — and made sure the whole company was right there with him.

Zac was senior to Daniel but didn't manage Daniel directly

Zac Bogart

SVP of Digital, Digital Marketing Leader, Strategist, & Executionist

March 4, 2026

View on LinkedIn
Former ManagerLinkedIn
Built reusable GPT-powered tools, launched the first ChatGPT Enterprise pilot, and delivered huge ROI.

Sumanth managed Daniel directly

Sumanth Cherukuri

AI Transformation | Digital Transformation | AI Innovation & Enablement

December 29, 2025

View on LinkedIn
Engineering PartnerLinkedIn
Shaped scalable ChatGPT integrations, multi-agent architectures, and enterprise guardrails into clear product strategies.

Daniel Kingston worked with Daniel on the same team

Daniel Kingston Thiruthuva Das

Senior Software Engineer @ The Guitar Center Company

September 29, 2025

View on LinkedIn
Cross-functional PartnerDirect
Spearheaded enterprise AI adoption and shortened development cycles by giving teams the AI tools and platforms they needed.

Scott worked with Daniel on the same team

Scott Tesar

Strategic Business Partner | Financial/Sales Manager | BizOps improvement | MBA/CPA (inactive)

April 10, 2026

Engineering LeaderDirect
Partnered on AI initiatives including an OMS MCP server connector for ChatGPT — forward-thinking and willing to ship the new.

Domnic worked with Daniel but on different teams

Domnic Nadar

Software Engineering Manager - OMS at Guitar Center, Inc

April 10, 2026

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.

Daniel leaning back on a teal sofa with hands behind his head.

Contact

Looking for a product leader who can understand the system, not just the roadmap?

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