Cheesecake Labs
[Contractor] Mid-level/Senior Product Manager
Brazil · Remote
About this role
Cheesecake Labs is an AI, data, and product engineering partner for established and scaling organizations navigating legacy systems, fragmented data, AI pressure, or limited engineering capacity. Our services include AI Implementation, Application Modernization, Data & Analytics, Product Engineering, AI-Accelerated Delivery, and Embedded Engineering Teams. We deliver agentic workflows in 8-12 weeks and modernize applications in 5-10 months rather than 2 years. We also build trusted data foundations and digital products designed to scale. Our agentic software development lifecycle accelerates execution, while experienced engineers embed with client teams to provide technical depth, security, and clear ownership. Member of Anthropic's Claude Partner Network; technology partners include Databricks, Snowflake, dbt, and AWS. Across 13+ years, Cheesecake Labs has built 300+ products for clients including Eurasia Group, MoneyGram, the World Bank, Stellar, Wedgewood, PepsiCo, Merck, Sodexo, and Mercado Libre. The story behind this role At Cheesecake Labs , product work usually starts before things are fully defined. We’re often brought in when companies are still shaping ideas, validating opportunities, aligning stakeholders, or trying to understand what should actually be built — and why. That’s why we maintain a network of strong contractor Product Managers we can engage quickly as new projects and client opportunities emerge. This is not a traditional long-term internal role. It’s a contractor opportunity designed for people who enjoy navigating ambiguity, collaborating with multidisciplinary teams, and helping turn business problems into valuable digital products across different industries and client contexts. We’re looking for a Product Manager (Contractor) who combines product thinking, communication, organization, and client management in fast-moving international environments. Engagement details Contractor / project-based engagement Paid in USD Remote-first Flexible allocation depending on project availability and fit Opportunities may vary in duration, scope, and weekly commitment depending on client needs Some opportunities may start immediately. Others may become active as new projects enter our pipeline. What this role actually looks like This is not a “just manage backlog” type of role. On a typical project, you might: Work with clients and stakeholders to understand business goals, user problems, and product opportunities Help shape product direction even when requirements, priorities, or product vision are still evolving Create and organize product backlogs, user stories, business rules, and feature definitions Work closely with delivery managers, designers, and engineers to define valuable, feasible, and usable solutions Facilitate alignment across clients, technical teams, and business stakeholders Participate in product discovery, roadmap discussions, prioritization, and go-to-market conversations Join product ceremonies and help ensure the product is evolving in the right direction Some projects will be highly strategic and discovery-oriented. Others will be much more execution and delivery-focused. Most are a mix of both. What tends to work well here We’ve seen that people who thrive in this type of engagement usually: Have strong experience managing digital products across web and mobile environments Feel comfortable navigating ambiguity, evolving priorities, and fast-changing product contexts Know how to balance business goals, user needs, technical constraints, and delivery realities Feel totally confident working in English with international clients and teams (calls, discussions, async) — at least advanced level Operate well across multidisciplinary environments involving product, engineering, design, and delivery teams Adapt well to consulting-style environments where different projects and industries require fast context-switching Already use AI as part of their day-to-day workflow — whether for organizatio
Skills and categories
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