Anna Mulamba

Hey there! I’m a Staff Product Designer based in Washington, DC, focused on AI-powered products for compliance, risk, and security teams. I love untangling ambiguous, high-stakes problems and turning them into workflows that help people make faster, more confident decisions!

Most of my work lives in messy 0→1 spaces where product direction is still forming, systems are complex, and trust matters just as much as usability.

Currently leading product design @ Hummingbird

About Me See My Work

Recent work:

AWS Payments Vision

Redefined payments as a revenue reliability system across AWS
- Led end-to-end vision across Payments org
- Identified systemic failure points
- Defined a North Star vision that aligned multiple Payments teams around a shared reliability strategy, projected to improve success rates by ~88%.

Okta Threat Detection

Designed a real-time identity risk system for faster threat detection
- Unified fragmented security signals
- Enabled faster investigation and response
- Reduced cognitive load for security teams

Cloud Health Dashboard

Created a system-level health model for cloud infrastructure
- Defined “health” across distributed services
- Transformed metrics into actionable insights
- Enabled proactive system management

Creating an Information as Code Security Analyzer

DivvyCloud offers cloud security to users by scanning their existing cloud environment for security threats and taking action. We created an infrastructure as code security analyzer which allows customers to evaluate the risk of code templates for their cloud environment before they are even built.

Case Study Coming Soon...

Redefining Cloud Security Insights

DivvyCloud Insights gives enterprise customers collections of compliance and regulatory standards that are vital to their cloud security. They can use these insights to ensure that their entire cloud environment is always up to code. With insights being DivvyCloud's main value proposition, we wanted to improve it further.

Case Study Coming Soon...

I've also done design work for companies including:

Natasha Ashley Nutrition

Diplomatic Enterprises

Monitoring Platform | Coming Soon

Reimagined transaction monitoring as a warehouse-native operational intelligence system for modern compliance teams.

Enabled flexible monitoring directly on customer data warehouses
Reduced dependence on rigid schemas and black-box workflows
Introduced AI-assisted rule testing, analytics, and investigation enrichment
Helped shape product direction for Hummingbird’s fastest-growing new product

AI Product Strategy Initiative | Coming Soon

Led cross-functional AI strategy workshops to define how agentic workflows could responsibly support compliance investigations.

Facilitated ideation sprints across product, engineering, and design
Helped establish a roadmap for assistive and agentic AI experiences
Framed AI as a transparent workflow system, not just a chatbot
Influenced early concepts for research, summarization, QA, and decision-support agents

AI Research Agent | Coming Soon

Designed a human-in-the-loop research system that helped investigators gather, synthesize, and validate information faster.

Explored agentic workflows for external research and evidence collection
Reduced manual investigation overhead through structured AI-assisted synthesis
Prioritized transparency, traceability, and analyst trust
Created a foundation for future automation and auto-triage workflows

AWS Payments Vision

Redefined payments as a revenue reliability system across AWS

Led end-to-end vision across Payments org
Identified systemic failure points
Defined a North Star vision that aligned multiple Payments teams around a shared reliability strategy, projected to improve success rates by ~88%.

Okta Threat Detection

Designed a real-time identity risk system for faster threat detection

Unified fragmented security signals
Enabled faster investigation and response
Reduced cognitive load for security teams

Cloud Health Dashboard

Created a system-level health model for cloud infrastructure

Defined “health” across distributed services
Transformed metrics into actionable insights
Enabled proactive system management

AI Recommendations Agent

Designed a progressive AI recommendation system that evolved from passive guidance to operational automation.

Developed a “Shadow → Recommend → Automate” adoption model
Explored how AI systems earn user trust before introducing autonomy
Balanced operational efficiency with explainability and user oversight
Focused on augmenting analyst decision-making, not replacing it

View all case studies

I’m drawn to complex, high-stakes products where trust, clarity, and human decision-making matter. I care deeply about creating experiences that help people feel more confident, informed, and supported in their work.

I’m especially energized by messy 0→1 spaces, when teams are still figuring out the right product direction and the path forward isn’t obvious. I enjoy bringing clarity to those environments through research, systems thinking, and close collaboration across product, engineering, and design.

At the core of it all, I believe good product design should do more than streamline workflows; it should reduce friction, build trust, and make complex work feel a little more human.

More about me