Data Platform & ML Engineering Manager

Kard; United States; On-site; USD 180,000 - 220,000; Full time

Benefits offered by this job

Flexible PTO

Federal Holidays observance

Health Insurance

Dental Insurance

Vision Insurance

401k with employer match

WFH setup reimbursement

Offsites

Job summary

Kard, a remote-first company building data-driven commerce experiences, seeks an Software Engineering Manager, Data to lead a 12-person team spanning data engineering, analytics, data science, ML engineering, and data support. You will shape technical direction and partner with engineering and product to deliver scalable data platforms.

You will assess architectures, review designs, and guide implementation while remaining hands-on when helpful, with strong emphasis on autonomy and collaboration

Qualifications

• Experience leading a technical team across data engineering, analytics, data science, and ML.
• Ability to review designs and guide experienced engineers and data practitioners.
• Fluent across data platforms, pipelines, analytics systems, and cloud infrastructure.

Responsibilities

• Lead and mentor a multidisciplinary data team.
• Set technical direction for Kard's data platform and scale.
• Automate workflows and reduce manual tasks.
• Partner with Engineering and Product to integrate data and ML into products.
• Ensure access to accurate data for GTM teams.
• Prioritize work across platform investments and operational needs.
• Guide architectural tradeoffs across data pipelines and models.
• Foster an inclusive, high-performing team culture.

Skills

Team leadership

Data platforms

ML & analytics

Cloud infrastructure

Data engineering

Code review

Communication

Hiring & mentorship

Stakeholder alignment

Tools

Databricks

dbt

AWS

Kubernetes

Terraform

Job description

Kard, a remote-first company building data-driven commerce experiences, seeks an Software Engineering Manager, Data to lead a 12-person team spanning data engineering, analytics, data science, ML engineering, and data support. You will shape technical direction and partner with engineering and product to deliver scalable data platforms.

You will assess architectures, review designs, and guide implementation while remaining hands-on when helpful, with strong emphasis on autonomy and collaboration