Software Engineering Manager, Data

🔥 12 hours ago

🇺🇸 United States – Remote

💵 $180k - $220k / year

⏰ Full Time

🟡 Mid-level

🟠 Senior

👮‍♀️ Software Engineering Manager

👻 Ghost score 0%

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Logo of Kard

Kard

51 - 200 employees

💼 Consulting

📣 Marketing

📦 Logistics

Consulting • Marketing • Logistics

Kard is a company that offers the first rewards-as-a-service API aimed at enhancing customer loyalty for cardholders and shoppers. By providing marketers and banks with tools to launch customizable loyalty programs quickly, Kard enables them to engage inactive cardholders and encourage repeat purchases. The company's platform is designed with a focus on security and compliance, ensuring confidence in its products. Kard's solutions help marketers reach new audiences, card issuers to create branded loyalty programs, and consumers to earn rewards effortlessly across numerous locations in the U. S.

📋 Description

• 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

🎯 Requirements

• 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

🏖️ Benefits

• 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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