Pedro S.
Senior Growth Product Manager
Notable Highlight
Built a structured experimentation system delivering 90+ A/B tests that increased conversion rate by 36% and drove the company to profitability within 18 months.
Experience Summary
Senior Growth Product Manager with 6+ years of experience driving growth operations at Series A+ B2C startups. Expertise in experimentation strategy, product-led growth, funnel optimization, and P&L modeling. Scaled revenue 180% and improved conversion rates through data-driven product decisions.
Key Achievements
Joined Kub. as the company's first dedicated growth hire and drove approximately 180–200% revenue growth while leading the business to profitability within 18 months. Built and owned the company's P&L model, aligning revenue, CAC, COGS, and operating expense targets to support profitable growth. Led a complete Shopify migration independently, evaluating and implementing the testing and experimentation stack. Implemented IntelliJams as the Shopify experimentation platform and personally executed approximately 100 A/B tests across the ecommerce funnel. Owned pricing strategy for a major OEM headphone launch, including pricing analysis, bundling strategy, and go-to-market execution. Created a bundle strategy that added a carrying case to push customers above the free-shipping threshold, increasing AOV by 10% month-over-month and improving units per order from 1.7 to 2.0. Built a structured experimentation program that generated more than 90 A/B tests, contributing to a 36% improvement in conversion rate. Ran monetization experiments including benefit-tiering tests that increased flagship product AOV by 12% and contributed to a 26% increase in ARPU.
Skills
Work Experience
Senior Growth Product Manager
Kub. · Remote, Italy · Jan 2023 – Present
- Owned end-to-end product growth strategy as first growth hire, leading the company to first-time break-even and +180% revenue growth (7-figure).
- Built and owned the Profit and Loss (P&L) model to reach break-even, aligning cross-functional stakeholders around revenue, CAC, COGS, and OpEx OKRs, moving from a 54% net loss to profitability within 18 months.
- Built and owned a structured experimentation system across the acquisition funnel (entry pages → conversion), conducting funnel data analysis, 60+ user interviews, and 20+ continuous surveys to design and deliver 90+ A/B tests, resulting in a +36% increase in conversion rate (2025 vs. 2023).
- Collaborated with Customer Success to translate recurring support tickets into key UI components redesign, including a features highlight section that clarified product positioning and reduced related pre-purchase tickets by ~30% MoM.
- Owned the monetization experiments and strategy, including a benefit tiering A/B test that increased the flagship product's AOV by +12% vs. control, contributing to a +26% increase in ARPU (2025 vs. 2023).
Growth Product Manager
Teg. · On-site, Brazil · Mar 2021 – Dec 2022
- Promoted to own clients' onboarding and activation, prioritizing roadmaps and leading a cross-functional team (Engineering, Design, Marketing) to drive product-led growth (PLG) and increase product adoption for 4 startups.
- Identified product adoption drop-offs and led the redesign of the onboarding flow (e.g., onboarding checklist, self-guided product tours, empty state UIs), increasing trial-to-paid conversion by +28% and first session duration by +31% (SaaS).
- A/B tested product notifications to identify feature interest based on notifications' engagement rates, creating evidence to deliver an onboarding checklist that increased product adoption rate by +8% vs. control (SaaS).
- Optimized web-to-app onboarding flow by A/B testing paywall placement, onboarding page sequencing, and input field UX to reduce cognitive load and increase funnel conversion from 0.4% to 1.3% (Mobile App).
Product Data Analyst
Teg. · On-site, Brazil · Jul 2019 – Feb 2021
- Instrumented full-funnel event tracking on analytics platforms (Amplitude, Mixpanel, Posthog, Statsig) for 6 startups, collaborating with Engineering to deploy 90+ user behavior signals and enable data-driven product decisions that impacted 400k+ users.
- Produced 40+ insight reports to inform product leadership on core KPIs, including a ridesharing app funnel analysis that identified a ride cancellation inflection point (8+ min ETAs), leading to a collaboration with Engineering and Marketing to optimize the matchmaking algorithm and trigger timely incentives, reducing related ride cancellations by 24% vs. control.