Senior Product Manager · Business Technology Systems

I turn operational ambiguity into usable systems.

I build internal products and business systems that help revenue teams work with more clarity, consistency, and leverage.

01Product strategy
02Workflow design
03AI-assisted execution
04Governance & adoption
Selected work

Work that makes the system easier to use.

Representative projects, shown with synthetic data and generalized interfaces. The through-line is turning messy GTM workflows into visible, maintainable products.

Prototype · AI-native

Adaptive Context Engine

A context layer that assembles the right account, contact, and process signals before the work begins.

Context designAI adoption
Systems · Revenue ops

Rep Engagement

A structured engagement record that makes seller activity legible without turning the workflow into reporting theater.

Data modelSeller UX
Integration · Enablement

Zoom AI Companion

Connecting conversation intelligence to the systems where follow-up, coaching, and action actually happen.

IntegrationChange management
Evidence system

Saved Search Field Analyzer

A source-linked schema explorer that turns metadata into a safer contract for implementation decisions.

Systems thinkingEvidence discipline
Exploration · Learning

Learning Loop Lab

An experiment in helping people discover which explanation, prompt, and feedback loop makes knowledge stick.

Behavior designRapid prototyping
How I work

High-agency, evidence-first, and built in loops.

I start with the job to be done, make the invisible workflow concrete, and use short feedback loops to move from ambiguity to something a team can trust.

Observe
Model
Prototype
Validate
Improve
The toolkit

Product thinking with systems depth.

Not a list of tools for their own sake. A set of ways to make complex work more visible, usable, and adaptable.

01

Internal products

Roadmaps, requirements, workflow surfaces, UAT, rollout, and adoption for the systems teams use every day.

02

GTM systems

Seller workflows, revenue operations, enablement, CRM data models, and the handoffs between them.

03

AI-native product work

Rapid prototypes and practical AI adoption with the guardrails, evaluation loops, and human judgment to make it useful.

04

Evidence & governance

Source-linked artifacts that separate what is known, what is inferred, and what still needs to be tested.

“The work is strongest where the problem is ambiguous, the workflow is real, and someone needs to move from ‘we know this is broken’ to ‘we understand the system well enough to change it safely.’

A work in progress

This is the beginning of the archive.

The final site will grow as project stories, artifacts, and interactive demos are made safe to share. For now, this is the shape of the work and the way I approach it.

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