I lead product strategy for enterprise extensibility at Oracle — the layer that makes complex SaaS applications adaptable to real customer needs. In the age of AI agents, I focus on designing systems where humans stay in control and automation earns its role.
AI is changing what product managers need to know, and how products get built. I work at that intersection — designing extensibility platforms that support agentic workflows, and building my own day-to-day systems using AI tools.
I led the development of Oracle's UI Events Framework — a system that enables consistent human oversight and intervention points within automated and AI-driven workflows. Agents do the work; humans stay in control of decisions that matter.
My current mandate includes identifying and shipping features that AI agents can use on behalf of enterprise users — from workflow automation to AI-guided service customization. I think about APIs and UX with agent consumers in mind, not just human users.
I build and test my own AI productivity systems using Claude, n8n, ElevenLabs, and Notion — from automated inbox triaging to video production pipelines. I believe PMs should be hands-on with the tools they champion.
I use AI-assisted synthesis — Slack signals, customer idea labs, competitive data — to build structured feature pipelines (RACE framework). The goal is faster, better-evidence decisions, not replacing human judgment.
I started my career as a consultant — the kind that lived in client offices, sat next to the people actually using the software, and was accountable for whether implementations worked in real life. That background still shapes how I think about product.
Today I own the extensibility platform for Oracle Fusion Service — the layer that lets enterprise customers personalize and automate their service operations. It's a platform product: the user is often a developer or admin, the outcomes are measured in live customers, active users, and reduced implementation cost.
I grew up between Brazil, Portugal, Chile, Argentina, Peru, Mexico, and the US — so I'm comfortable in multilingual, multicultural environments. I write and speak with simplicity as a feature, not a limitation.
I'm currently exploring Director of Product roles at companies where product work stays close to service delivery outcomes: Microsoft, ServiceNow, Salesforce, Zendesk, Genesys, and similar.
My career spans both sides of enterprise software — implementing it as a consultant, and designing it as a PM. That combination is rare and useful.
Short posts on AI, product thinking, and how I build systems to work better. No newsletter. No algorithm. Just useful ideas.
I replaced WordPress with GitHub Pages and a pipeline of AI agents. Each handles one stage. I review, approve, and commit manually. Here's the workflow.
Five layers of AI tooling, from vibe coding to autonomous agents. How I decide which one to use — and how much of the work to hand off.
Not for a brand. Writing is how I find out what I actually know — and how I want to be remembered.
20 years in enterprise software taught me what I actually look for in a developer. It's not the degree — and in the agent era, it's not even just the code.
Meeting notes, backlog discovery, product specs — three workflows that compress the distance between raw signal and something I can actually ship.
Not every task needs the same AI involvement. Three modes — Autopilot, Collaboration, Manual — and a simple decision filter to know which one to use.
I'm always open to conversations with people building interesting things — whether that's a product challenge, a shared interest in AI, or just comparing notes on the industry. No agenda needed.
Products that stay close to the customer. AI that makes hard things simpler. Enterprise software that people actually want to use. If any of that overlaps with what you're building, I'd enjoy the conversation.