Product · Experience Design · AI
I started monitoring carrier signals from a satellite control room in Rio. Eighteen years later, I'm designing the AI-powered platforms that help enterprises make sense of complex technology — simply.
I'm Brazilian — born and raised in Rio de Janeiro, now living in Arlington, Virginia with my husband and two cats who run the household: Cosmo, the bold black cat, and Nala, a 15-year-old Brazilian Shorthair who has survived every career pivot and still looks unimpressed.
I started in satellite operations — literally monitoring transponders and RF signals in a control center. That foundation gave me something most PMs don't have: I understand the technology I'm designing for at a systems level. I know what's hard to build. I know what customers are really asking when they say "it doesn't work."
Over 18 years, I moved from operator to analyst, from sales to customer success, from success to product design. Each role was a layer. The curiosity never changed.
I see the whole system first — and that's exactly where the most interesting design problems hide.
Outside work: Muay Thai, swimming, dancing, and a deep love for exploring good bars and restaurants. I lead the LGBTQ+ ERG at my company and believe deeply that diverse teams build better products.
Cosmo & Nala approve this portfolio.
My positioning is hybrid: Product Manager by instinct, UX and design thinker by practice. I'm not the person who draws every pixel — I'm the person who makes sure we're drawing the right thing.
I map the journey. Then we test the riskiest assumption first.
I keep early work lightweight and testable. I get more detailed — and more precise — only after alignment. This is how I avoid building the wrong thing beautifully.
I built this prototype app to guide stakeholders through each phase of the process — from discovery notes to structured artifacts, in real time.
I come with context: user insights, problem framing, flows, and constraints. I don't dictate UI. I trust design craft — and I give designers room to be brilliant. I ask "why" before I suggest "what."
I write specs they can act on. I surface tradeoffs early. I don't vanish after handoff — I stay close enough to unblock, far enough to not hover. Technical context from my satellite background helps more than I expected.
I translate complexity into clarity. I bring data to opinion-heavy rooms. I push back with evidence, not attitude. And I make sure the customer's voice is always in the conversation.
If a new user gets lost in the first three minutes, the product has failed — regardless of how powerful the feature set is.
Every ticket we don't receive is evidence that something is clear enough. I track support reduction as a product quality metric.
When the logic of a product is intuitive, users just do the thing. If they're asking why, we've missed something in the flow.
Good documentation means engineers and designers can make confident decisions without pinging me every hour. That's a feature, not a risk.
If I can't point to data that tells me whether the thing worked, we didn't define success clearly enough at the start.
I map edge cases in the spec phase — not in the bug report. Good product thinking means anticipating the user who doesn't behave as expected.
Every project below lives inside the same north star: complex satellite technology, delivered so simply that customers feel in control from day one.
▶ View ConceptEnterprise buyers had to go through a lengthy manual quoting process. No self-serve, no transparency.
Led end-to-end design strategy: discovery interviews, journey mapping, flow definition, spec writing, and BSS/OSS integration partnership.
First self-serve satellite marketplace at SES — reducing sales cycle friction and expanding the SMB customer base.
Customers managed satellite services across fragmented tools. No single source of truth, high operational overhead.
Drove product design for the unified SMP: persona workshops, dashboard UX, JIRA epics and WSJF-style prioritization.
Consolidated service management into one platform — informing $4M+ in platform investment decisions.
Customers and internal teams were overwhelmed by alerts and tickets with no intelligent layer to surface what mattered.
Shaped vision and UX for the AI layer — intelligent support routing, workflow automation, proactive alerting via OpenAI APIs.
~30% reduction in support ticket volume. A foundation for AI-powered interactions that earns trust before asking for attention.
Each product line had its own CX approach — no shared framework, no common metrics, no organizational alignment.
Created journey maps and persona frameworks for every product line. Designed a CX curriculum. Ran heuristic analysis of the full digital platform landscape.
First-ever unified CX Design strategy at Intelsat — codifying best practices and informing platform investment decisions.
Hardware terminals arrived with no intentional onboarding design. The unboxing moment was a missed opportunity.
Extended digital design thinking to the physical experience — packaging, printed guides, QR-based activation flows, and first-run mobile experience.
A premium, coherent first experience for SES hardware customers — reducing activation friction from purchase to live signal.
Customers needed service visibility in the field — not at a desktop portal. Mobile was an afterthought.
Led mobile design from discovery through launch: field operator research, real-time monitoring flows, push notification strategy, iOS design partnership.
A native mobile app that brought service management to the ground — improving responsiveness and customer confidence.
I've watched technology change an entire industry from the inside. I was there when satellite broadband felt like magic. I watched it become infrastructure. I'm watching AI do the same thing — faster, and with higher stakes.
That arc taught me something: the technology is rarely the hard part. The hard part is what we do with the people on either end of it.
The best AI I've ever shipped is the kind users forgot was AI — because it just worked.
I believe AI is most powerful when it gives people more control — not less. Automation that removes understanding is not progress. It's dependency.
When a system makes a decision that affects someone, that person deserves to understand why. I design for explainability — not as a legal checkbox, but as basic respect.
Who gets access, who gets designed for, whose problems get solved first — these are not neutral choices. People building AI tools have an obligation to sit with that discomfort.
I'm skeptical of systems that optimize away human decision-making. Intuition, empathy, and context are exactly what AI needs more of, not less.
I've led an LGBTQ+ ERG because I believe representation changes what gets built. Teams that look like the world they're designing for build products that work for it.
Satellites go down. People in remote areas lose connectivity. Reliability isn't an engineering metric — it's a human one. I carry that weight into every product I build.