Senior Product Manager Cart & Checkout
On-siteSão Paulo, São Paulo, Brazil
São Paulo, São Paulo, BrazilOn-siteFull TimeSenior LevelBeverageEnterprise
Full TimeSenior LevelEnterpriseBeverage
Job Summary
Lead product initiatives for TaDa's Checkout & Personalization solutions, defining strategy, scope, and requirements to optimize the customer purchasing journey and improve conversion rates. Collaborate with engineering, design, data science, and commercial stakeholders to prioritize features, manage the product lifecycle from concept to launch, and deliver scalable, customer-centric experiences across multiple countries. Partner with data teams to evolve personalization capabilities using algorithms and experimentation, while writing specs, tracking metrics, and communicating outcomes to drive business performance.
Required Qualifications
- University degree in any area
- Strong experience working in cross-functional software teams as a Product Manager
- Advanced written, verbal, and presentation skills in English (mandatory)
- Strong collaboration skills and ability to work effectively across multiple teams and stakeholders
- Ability to define product strategy and break down ambiguous problems into clear priorities with well-defined requirements
- Strong analytical mindset, with experience using data to support product decisions and measure business outcomes
- Experience managing products throughout their lifecycle, from discovery through launch and continuous improvement
- Attention to detail, ownership, and the ability to balance customer needs with business objectives and technical constraints
- Comfort working with customer-facing digital products and data-informed decision making
- Organization and ability to manage multiple initiatives in a fast-paced environment
Desired Qualifications
- Experience with e-commerce, marketplaces, or large-scale digital products
- Experience with Checkout, Personalization, Recommendations, Search, or customer journey optimization
- Experience working alongside data science teams and exposure to experimentation, recommendation systems, or personalization algorithms
- Exposure to platform or backend-heavy systems
- Familiarity with product analytics tools, Agile methodologies, SQL, or APIs
- Spanish (reading, writing, and conversational skills)
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