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Support internal communications and culture by developing and executing comms plans, writing internal messaging and presentations, coordinating stakeholders, creating toolkits and FAQs, and partnering with People teams to amplify culture, engagement, and change initiatives.

Lead strategy and execution for TaDa's Checkout and Personalization products to improve conversion and customer experience. Collaborate with designers, engineers, and data scientists to define scope, launch features, measure outcomes, and evolve personalization using experimentation and algorithms across multiple countries.

The Product Strategy Specialist develops product strategy, prioritizes product backlog, collaborates with teams, analyzes data, and drives long-term growth and support for product initiatives.

Lead daily support operations and a shift-based team to meet SLAs, manage incidents, and drive continuous improvement. Coordinate stakeholders across Product, Engineering, and Operations, maintain playbooks and KPIs, leverage AI tools to optimize workflows, and report outcomes to leadership.

The Global Manager, Growth & Planning will oversee strategic planning, market engagement, and commercial projects to drive growth and enhance business performance.

Own product direction for ML platform capabilities across the end-to-end ML lifecycle. Set vision and roadmap, define standards and tooling, drive adoption with data science and engineering teams, deliver templates/CLIs/workflows, and improve model deployment, observability, and operational practices to enable scalable, reliable ML solutions.

Manage strategic partners' online operations on the BEES marketplace: set up and maintain partner stores, coordinate cross-functional projects, monitor performance, produce reports and insights, drive commercial execution, and continuously improve processes to optimize partner results.

The Data Engineer will implement ETL/ELT solutions, design data pipelines, ensure data security, and optimize data processing systems. Responsibilities include data transformation and compliance collaboration.

Develop and deploy ML and optimization solutions for logistics planning, forecasting, and operational decision-making; build production-grade pipelines; run experiments and monitoring; collaborate with engineers, product, and operations to improve delivery reliability and efficiency.

Design and implement highly available, fault-tolerant infrastructure and SRE best practices. Collaborate with development teams to ensure reliability, automate operations, build monitoring/observability, lead incident response and post-incident analysis, and evaluate/adopt tooling for cloud, container, and GitOps environments.