About
Julio Campos, Senior Product Designer focused on growth, data and UX strategy.
Based in São Paulo, working remotely with teams in Argentina and Mexico. Eight years at top-tier agencies before moving into product. Fluent in Portuguese, English and Spanish.
Experience
Eight years at top-tier agencies built my execution speed and craft. Five years in product turned that into measurable growth.
Nuvemshop · Senior Product Designer · 2024–present
Growth and conversion: continuous discovery (interviews, A/B tests, iterative cycles) behind nearly 3x trial-to-paid conversion in 18 months. Rebuilt onboarding around behavioral and conversion data, optimized the activation funnel (median setup time down about 12%) and designed the Nuvem Domains purchase flow, validated through controlled experiments.
Nuvemshop · Senior Product Designer, Nimbus · 2021–2023
Migrated key areas of the legacy admin to Nimbus, led the system’s usage documentation and fed what we learned back into v2.
Wunderman Thompson · 2013–2021
UI, UX and visual designer. From 2016, the Vivo portal (~40M visits a month) from discovery to delivery, plus design systems, guidelines, heuristic evaluations and benchmarking. Before that, websites, landing pages, apps and conversion emails for Hoteis.com, Audi, Vivo and Cielo.
Riot, Nuova and freelance · 2008–2012
From HTML developer to UI designer and art director: key visuals, digital campaigns, websites, landing pages and brand identity.
Education
Digital Design (Internet) and Industrial Design, UNG · 2007–2012.
How I work
I treat product design as a business lever: I work by hypothesis, not intuition, and I do my best work in experimentation-driven teams across Latin America. The method adapts to the problem; these principles don’t.
Find where value gets lost first
Data, interviews and audits before any screen, so the problem is real before the solution exists.
Design for the moment of intent
The right interface at the right moment beats more interface.
Measure honestly
Test whenever feasible, and be clear about what the data does and doesn’t prove.
Match the bet to the risk
Small, reversible layers when the path is uncertain; a bigger bet when the evidence is strong or the change can’t be split, like a platform migration.
Selected work