more about me.

Jamie Brightbill

Connect

LinkedIn

Seasoned

25
Years in Technology
15
Years in Product

Overview

Strategic product leader with over 15 years of experience driving B2B software solutions from concept to reality across client-facing platforms.

Recognized for:

  • • Launching and evolving platform products that address key market challenges
  • • Bridging product strategy with hands-on technical execution.
  • • Translating complex technical concepts into clear business strategies
  • • Driving product innovation while maintaining operational excellence
  • • Building collaborative, high-trust environments that enable exceptional results
  • • Leading cross-functional teams through enterprise-scale initiatives and organizational change
  • • Evaluating and designing business processes into streamlined intelligent automations

Current Focus

Seeking product leadership opportunities in AI-powered enterprise solutions where strategic vision and hands-on execution drive meaningful change.

Particularly interested in roles that leverage my unique combination of product strategy and enterprise transformation experience combined with modern AI/ML expertise to build products that reshape how businesses operate.

Passionate about responsible AI implementation and integrating AI ethics into enterprise product strategy.

What I Do

Highly passionate about defining and disseminating the Vision and Strategy for a product through a deep understanding of the customer’s needs, pain points and desires.

I use structured collaboration and transparent communication to build consensus and connect the dots between what’s on the surface and the underlying business context.

Product Strategy

  • • User Research & Analysis
  • • Data-driven prioritization frameworks
  • • Experimentation & Design
  • • Cross-functional stakeholder alignment
  • • Product roadmap development
  • • Business case development
  • • Product lifecycle management

AI & Technology

  • • AI/ML Product Strategy
  • • Responsible AI Implementation & Ethics
  • • Platform & Ecosystem Strategy
  • • Cloud Architecture (AWS)
  • • SaaS Platform Governance
  • • CI/CD & DevOps Practices
  • • API & Integration Strategy

Enterprise Transformation

  • • Large-Scale Stakeholder Alignment
  • • Change Management at Scale
  • • Agile Framework Implementation
  • • Vendor Evaluation & Selection
  • • Business Process Automation
  • • Platform Modernization & Migration
  • • Technical Debt Reduction

Leadership

  • • Cross-Functional Team Leadership
  • • Direct Team Management
  • • Hiring & Talent Acquisition
  • • Career Management & Development
  • • Performance Metrics & Frameworks
  • • Budgeting & Forecasting
  • • Multi-Level Team Leadership

Personal Growth Projects

Recent focus on AI/ML and cloud computing has equipped me with hands-on expertise in building systems spanning NLP, computer vision, and predictive analytics.

For my passion project (this site), I developed an end-to-end custom RAG system, demonstrating how I bridge product strategy with hands-on technical execution.

Featured Project

AI-Powered Portfolio with RAG

Featured

Built an intelligent portfolio site with Retrieval-Augmented Generation (RAG) to enable natural language querying of career history and projects. End-to-end implementation from document processing to serverless deployment with Smartsheet for roadmap planning.

Next.jsReactClaude APIAWS LambdaFAISSPythonS3
Key Features
  • • Interactive chat interface with streaming responses
  • • Real-time semantic search across document repository
  • • Contribution submission (review process for integration)
  • • Query analytics tracking (performance and relevance scores via admin dashboard)
  • • Serverless AWS Lambda architecture
  • • Responsive React frontend
Technical Stack
  • • Frontend: Next.js + React
  • • Backend: AWS Lambda (Python) + API Gateway + DynamoDB + S3
  • • LLM: Claude Sonnet 4 via Anthropic API
  • • ML: FAISS vector search + sentence-transformers embeddings
  • • Deployment: Docker containers, CI/CD with environment separation
Roadmap Items
  • • Continue growing content repository to provide a richer experience
  • • Improve answer quality with deeper context and focus
  • • Conversation history persistence

Through school programs I developed sentiment analysis, CNN-based classification models, prediction models, and deployed containerized applications on AWS and Azure.

AI & Machine Learning Projects

Post Graduate Program • UT Austin McCombs • 4.17 GPA

Stock Market News Sentiment Analysis

Apr 2025

AI-driven sentiment analysis system to automatically process and analyze news articles, gauge market sentiment, and summarize weekly news to enhance stock price prediction accuracy and optimize investment strategies.

NLPTransformersLLMsWord2VecGloVe
Demonstrated:
Multi-model NLP pipeline with transformer architectures for financial text analysis

Plant Seedling Classification

Mar 2025

Built a robust image classifier using CNNs to efficiently classify 12 different plant seedlings and weeds to improve crop yields and minimize human involvement in agricultural monitoring.

Computer VisionCNNsTensorFlowKerasTransfer Learning
Demonstrated:
Transfer learning and data augmentation for production-scale image classification

Bank Customer Churn Prediction

Feb 2025

Analyzed customer data and built neural network models to identify customers likely to churn, with recommendations on retention strategies for banking operations teams.

Neural NetworksTensorFlowKerasRegularization
Demonstrated:
Neural network optimization with business retention strategies

Credit Card Users Churn Prediction

Jan 2025

Predictive model to determine if credit card customers will leave the service and identify the underlying reasons, enabling targeted retention strategies.

Random ForestBaggingBoostingSMOTE
Demonstrated:
Ensemble methods for imbalanced datasets with targeted retention insights

Personal Loan Campaign

Dec 2024

Identified bank customers with high likelihood of purchasing loans by analyzing customer attributes and building predictive models to improve marketing effectiveness and conversion rates.

Decision TreesEDAModel Evaluation
Demonstrated:
Decision tree optimization and feature engineering for targeted marketing campaigns

FoodHub Analysis

Oct 2024

Exploratory data analysis for food aggregator company to understand demand patterns across restaurants and cuisines, enhancing customer experience and business strategy.

PythonPandasNumPySeaborn
Demonstrated:
Statistical analysis and data visualization for actionable business insights

Cloud Computing Projects

Post Graduate Program • UT Austin McCombs • 4.13 GPA

Automated Business Process on Azure

Sep 2025

Created an automated, event-based real-time process using Azure managed services, replacing manual batch-based workflows to enable faster decision making and fraud detection.

AzurePython SDKBlob StorageAzure SQLEvent-Driven
Demonstrated:
Event-driven architecture and serverless automation for real-time business processes

Cloud File Share & Sync on Azure

Sep 2025

Implemented scalable and secure file share solution using Azure services with full IT control for governance and security compliance in enterprise environments.

Azure VMVirtual NetworkSecurity GroupsMySQL
Demonstrated:
Network security architecture and governance-compliant cloud infrastructure

Container Deployment on AWS Lambda

Aug 2025

Deployed OCI container images on AWS Lambda to leverage event-driven runtime and cost savings while maintaining container-based development predictability and control.

DockerAWS LambdaECRIAMServerless
Demonstrated:
Container-based serverless deployment with cost optimization and event-driven design

Team Communication Solution on AWS

May 2025

Implemented scalable Mattermost team communication platform on AWS with complete IT control for governance and security in accordance with company requirements.

AWSVPCEC2Security GroupsNAT Gateway
Demonstrated:
VPC design, network segmentation, and enterprise-grade security controls