
501 - 1000 employees
Founded 1988
🛒 Retail
🛍️ eCommerce
⚽ Sports
Retail • eCommerce • Sports
TRACK&FIELD is a Brazilian sportswear retailer and lifestyle brand operating physical stores, franchises, experience stores and an e-commerce platform, offering athletic apparel, accessories and related experiences. The company emphasizes product design and technology, sustainability, diversity and wellbeing, and maintains investor relations and corporate governance programs.
🔥 3 minutes ago
🗣️🇧🇷🇵🇹 Portuguese Required
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501 - 1000 employees
Founded 1988
🛒 Retail
🛍️ eCommerce
⚽ Sports
Retail • eCommerce • Sports
TRACK&FIELD is a Brazilian sportswear retailer and lifestyle brand operating physical stores, franchises, experience stores and an e-commerce platform, offering athletic apparel, accessories and related experiences. The company emphasizes product design and technology, sustainability, diversity and wellbeing, and maintains investor relations and corporate governance programs.
• Establish the team's operating model: card workflow in Jira, ceremonies, definition of ready/done, prioritization, and visibility for stakeholders • Raise the standard of technical excellence: code reviews, testing, documentation, managed technical debt, and clear acceptance criteria • Prepare the team to serve multiple business areas: demand intake model, capacity planning, internal SLAs, and stakeholder communication • Drive the use of AI in the development cycle (Claude Code and similar), measuring real productivity gains — not adoption for the sake of adoption • Provide technical oversight of deliveries at a detailed level: solution architecture, integration decisions, risks, and trade-offs • Develop team members together with the existing technical leadership
• Previous experience leading engineering teams (architecture, coordination, or tech management) with a track record of structuring processes, not just maintaining them • Strong architecture background: integrations, financial/transactional systems, APIs, messaging • Experience modernizing legacy systems — able to work with existing systems while building new solutions • Practical use of AI as an engineering tool in day-to-day work (not just curiosity) • Mature soft skills: able to lead without centralizing, give space to existing technical leaders, and build authority through influence rather than title. This is a mandatory requirement. • Clear communication with non-technical business areas • Degree in Computer Science, Software Engineering, Information Systems, or related fields. Alternative educational backgrounds accepted with proof of equivalent technical experience.
• Role also open to candidates with disabilities (PwD)
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