20%
Faster product refresh
From work that connected new security concerns with the case for modernization.
Senior Product Manager
Complex B2B products | SaaS | Applied AI
I work with customers, sales, customer success, design, engineering, and marketing across the full product cycle, from understanding the problem and testing a prototype to development, launch, and adoption.

A few outcomes
20%
From work that connected new security concerns with the case for modernization.
$6M
From redesigning service packaging and the operating model behind it.
$1M
From a new premium service offer built and launched with partner teams.
30%
After removing lifecycle and operating barriers for service providers.
How I work
On new product work, founder mode means taking responsibility for the whole learning loop. I gather evidence, bring the right functions together, test ideas early, guide the work through delivery, and remain involved as it reaches the market.
Talk with customers and combine what I hear with evidence from sales, customer success, product usage, and the market.
Define the user, problem, value, risks, and the evidence that would justify further investment.
Make the idea tangible with design and engineering. Put it in front of customers and iterate before committing to a full build.
Guide scope and tradeoffs through development while marketing, sales, and customer success prepare the route to market.
Coordinate the release, positioning, enablement, customer communication, and early adoption support.
Review usage, adoption, commercial results, and customer response. Carry that evidence into the next cycle.
Fit is tested across the loop: prototype feedback reduces risk, but launch, adoption, and retention show what should change next.
Recent product work
The company and technology provide the context. The cases focus on the product work: understanding the problem, coordinating decisions, and following through.
I worked with customers, security specialists, and go-to-market teams to understand how AI adoption was changing infrastructure risk, then helped translate that into product priorities and a clearer case for modernization.
Read the case studyI work across product groups to make capabilities more consistent across two portfolios while preserving the differences that matter to their customers and operating models.
Read the case studyI contributed to research for the next virtual platform generation, focusing on cloud, edge, and AI-related deployment needs and their product and packaging implications.
Read the case studyI am helping define where AI can improve network operations, and where trust, explainability, and human control need to shape the product.
Read the case studyCapabilities
Product judgment, cross-functional execution, and technical fluency.
Customer research, market context, portfolio choices, pricing, positioning, and go-to-market work.
Coordinating decisions from the initial investment through roadmap, launch, adoption, and operations.
Hands-on work with AI workflows, SaaS, cloud, APIs, security, and enterprise systems helps me ask better questions and explain tradeoffs more precisely.
Learning by building
When it is my own product, I cannot stop at the roadmap. I have to prototype it, debug it, price it, explain it, find users, and learn from what happens. That experience makes me faster and more useful in my product work.

Product, SEO, pricing, and distribution
Visit Joberney
AI-assisted building and product operations
Visit KindnessSenderComplex problem solving and image-to-pattern technology
Join the waitlistPracticed by building
Applied in my product work
I can turn an early idea into a realistic, product-like prototype instead of a rough slide. Customers can respond to actual interactions, while designers and engineers receive clearer evidence for the production solution.
Practiced by building
Applied in my product work
I run automations, reproduce failures, explore edge cases, and file bugs with clearer evidence. This reduces back-and-forth and helps engineering teams diagnose problems faster.
Practiced by building
Applied in my product work
Publishing my own products forces me to state the audience, problem, value, and next action precisely. I apply that discipline to requirements, positioning, launch material, documentation, and sales enablement.
Practiced by building
Applied in my product work
Working through packaging, willingness to pay, usage limits, costs, and alternatives gave me practical pricing experience. I now bring commercial questions into product choices earlier.
Practiced by building
Applied in my product work
Keyword research, content, and social media taught me how customers describe problems and discover products. I use search behavior as one signal alongside interviews, usage, sales feedback, and competitive research.
Practiced by building
Applied in my product work
Building with AI and tackling Beadela's image-to-pattern system improved how I decompose complex problems, define constraints, test edge cases, and discuss implementation tradeoffs with engineers.
Writing
Product management, AI, entrepreneurship, identity, health, and the experiments in between.

A personal look at why AI-assisted coding feels so compelling, through variable rewards, flow, and the game mechanics hidden inside every prompt.
Read the article
Why vibe coding can hold your attention for hours while slow product work drains it—and how to make long-horizon work more immediately rewarding.
Read the article
A tactical guide for product managers using AI to turn ideas into working products, from architecture and interfaces to debugging and deployment.
Read the articleGet in touch
I am based in Silicon Valley. Tell me what you are working on or simply say hello.