Top Tech Jobs & Startup Jobs

Analyze complex datasets and develop machine learning and deep learning models for optimization, recommendations, personalization, promotions, segmentation, imputation, and insights. Process large-scale data using Azure, Databricks, Spark, Python, and PySpark. Collaborate with data engineers, product managers, and business stakeholders in an agile environment while implementing scalable solutions and automation workflows.

Develop and maintain scalable native Android applications using Kotlin. Collaborate with cross-functional agile teams, apply modern architectures, ensure code quality through unit and integration testing, support CI/CD pipelines, and improve application performance, maintainability, and developer experience.

Develop and maintain backend services, APIs, microservices, and event-driven solutions using Java and Kotlin. Implement features, integrations, and scalable architectures while collaborating with product, frontend, and QA teams. Write tested, maintainable code; participate in reviews; troubleshoot issues; and improve observability, reliability, development processes, and operational excellence. The role requires experience with Spring Boot, REST APIs, relational databases, messaging platforms, cloud services, Git, and software testing.

Leads product growth and digital insights for a business application, owning local product strategy, roadmap prioritization, discovery, requirements, and stakeholder alignment. Manages an AI and machine learning personalization squad developing recommendation, cross-sell, and upsell models. Owns data management, analytics, experimentation, impact measurement, and business insights to support data-driven decisions. The role bridges business, technology, and data teams across regional environments.

Design, develop, and maintain scalable Java backend services using Spring Boot and microservices architecture. Build RESTful APIs, integrations, and distributed applications while improving observability, performance, resilience, testing, and automation. Collaborate cross-functionally on architecture decisions and business solutions, contribute to CI/CD and cloud-native deployments, and support Docker- and Kubernetes-based applications.

Enhance user experiences for AI-driven data products within the BEES apps ecosystem. Analyze feedback and model performance, collaborate with customer support, data scientists, and product managers, manage user feedback loops, create training and documentation, monitor quality metrics, advocate for customers, and align global stakeholders on priorities and results.

Lead activation of BEES digital products for enterprise customers across Latin America. Define product scope, run presentations and onboarding, coordinate engineering and project implementations, manage activation lifecycles, support post-launch adoption, resolve scope issues, and identify product improvements. The role requires stakeholder management, cross-functional collaboration, customer-centric decision-making, and communication in Portuguese and English, with Spanish preferred.

Owns the organization’s AI enablement strategy, governance, adoption, and quality standards. Responsibilities include developing role-based training, leading AI champion networks, managing tool access and intake, translating business needs into technical briefs, governing documentation and evaluation standards, maintaining reusable prompts and agents, defining AI KPIs, and establishing responsible-use guardrails. The role requires hands-on AI solution experience, LLM evaluation expertise, adoption leadership, strong knowledge architecture, KPI management, and executive stakeholder influence.

Leads global category management initiative execution across markets and key accounts. Translates global strategies into actionable plans, coordinates tools and capabilities, monitors implementation, manages risks, and drives corrective actions. Partners with Sales, Marketing, Commercial Strategy, and Key Account teams across geographies. Develops executive presentations, business cases, deployment plans, training, workshops, and best-practice programs while improving processes and organizational effectiveness.

Oversee BEES’s Online pillar by supporting third-party marketplace implementations, translating commercial needs into digital levers, and coordinating partner, business, product, and technical stakeholders. Analyze data, track online KPIs, identify performance improvements, represent partner perspectives, and support scalable processes that increase engagement and satisfaction. Frequent travel within Brazil is required.