Software Engineering Manager, Data

🕒 Setembro 4

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $180.000 - $220.000 / ano

⏰ Tempo Integral

🟡 Pleno

🟠 Sênior

👮‍♀️ Gerente de Engenharia de Software

👻 Score fantasma 12%

O que significa: a chance de ninguém estar realmente contratando para esta vaga.Como ler: 60% ou mais significa que achamos que é uma vaga fantasma. Pontuações mais baixas preocupam menos.Como pontuamos: tempo em aberto, republicações, vagas abertas vs tamanho do time, rapidez para fechar vagas, e se o salário está divulgado.Observação: é uma estimativa de dados públicos, não um julgamento da empresa. Vagas reais podem ter pontuação alta, então use como uma dica, não como um fato.

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Kard

SiteLinkedInTodas as Vagas

51 - 200 funcionários

💼 Consultoria

📣 Marketing

📦 Logística

Consulting • Marketing • Logistics

A Kard é uma empresa que oferece a primeira API de recompensas como serviço voltada para aprimorar a fidelidade do cliente para portadores de cartões e compradores. Ao fornecer ferramentas para profissionais de marketing e bancos lançarem programas de fidelidade personalizáveis rapidamente, a Kard os capacita a engajar portadores de cartões inativos e a incentivar compras repetidas. A plataforma da empresa é projetada com foco em segurança e conformidade, garantindo confiança em seus produtos. As soluções da Kard ajudam profissionais de marketing a alcançar novos públicos, emissores de cartões a criar programas de fidelidade com marca, e consumidores a ganharem recompensas de forma fácil em inúmeros locais nos EUA.

Descrição

• Lead, coach, and develop a 12-person multidisciplinary team across data engineering, analytics engineering, data science, machine learning engineering, and data support • Set technical direction for Kard’s data platform and improve scalability, reliability, maintainability, and organizational usefulness • Increase automation and self-service while reducing manual workflows and recurring operational work • Partner with Engineering and Product to integrate data, analytics, and machine learning capabilities into products and production systems • Ensure go-to-market teams have timely access to accurate, actionable data • Convert recurring stakeholder requests into durable, scalable capabilities • Establish priorities, ownership, and delivery practices across platform, product, analytical, and operational work • Guide architectural decisions and technical tradeoffs across pipelines, analytics systems, production models, internal tooling, and data services • Build an accountable team through expectations, feedback, career development, hiring, and cross-disciplinary collaboration • Report to the Director of Data & Platform; shape team structure, technical direction, and investment priorities

🎯 Requisitos

• Experience managing a technical team working across data engineering, analytics, data science, machine learning, or related software engineering disciplines • Technical depth to assess system designs, review code and implementation approaches, and guide experienced engineers and data practitioners • Working fluency across modern data platforms, data modeling, pipelines and orchestration, analytics systems, machine learning lifecycles, cloud infrastructure, and production software practices • Record of improving technical platforms, automating manual processes, and creating scalable systems • Experience managing a team handling platform work, product development, stakeholder requests, and operational responsibilities • Strong judgment in balancing reusable capabilities with immediate business needs • Ability to partner with Engineering and go-to-market teams • Experience setting expectations, managing performance, supporting career growth, and developing senior technical individual contributors • Communication and organizational skills to operate autonomously while maintaining alignment with company and engineering leadership • Commitment to fostering an inclusive work environment and contributing to team growth and cohesion • U.S. core business hours availability and willingness to travel for company meetings • Bonus: Experience with fintech, payments, card-linked offers, loyalty, or transaction-intensive products • Bonus: Experience operating production machine learning systems or integrating models into customer-facing products • Bonus: Experience with high-volume batch and real-time data systems • Bonus: Familiarity with Databricks, dbt, AWS, Kubernetes, and Terraform

🏖️ Benefícios

• Flexible PTO, with a minimum requirement to take one day off a quarter, ten days a year, promoting mental well-being • Observance of 11 Federal Holidays, plus an additional day each for Black Friday and Christmas Eve (US employees only) • Health, Dental and Vision Insurance • 401k with employer match (US employees only) • Coworking space and WFH setup reimbursement • Company Offsites for planning, team-building, and networking • Remote-first team with autonomy to influence the company’s trajectory and culture

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