Engineering Manager, Data Platform & Remote AI Governance

Babbel; Berlin (NH); Remote; USD 135,000 - 191,000; Full time

Benefits offered by this job

30 vacation days

Remote-friendly options

Learning & development budget

Mobility benefits

Fully equipped office options

Job summary

Babel is seeking an Engineering Manager to lead Babbel’s Data Platform team, owning data infrastructure, pipelines and platform capabilities that support analytics, data science, product and engineering across the company.

This is a hands-on leadership role focused on team health and delivery, creating an environment where engineers can do their best work while delivering reliable, scalable and well-governed data products.

Qualifications

• Experience leading data engineers and delivering data platforms.
• Strong track record in building reliable production data systems.
• Experience collaborating with cross-functional teams (Analytics, Product, Data Science).

Responsibilities

• Lead, coach and grow a data engineering team responsible for Babbel’s data platform and infrastructure.
• Own reliable delivery and operational excellence across the platform, including quality, observability, SLAs/SLOs, on‑call and incident management.
• Partner with Analytics, Product, Data Science and Engineering teams to prioritise and deliver platform capabilities that make trustworthy data easy to discover, access and use.
• Drive an architecture that supports governed AI and agent workloads at scale, with appropriate access controls, lineage, auditability and cost guardrails built in.
• Establish clear ownership, strong engineering practices and a predictable delivery cadence while continuously improving platform performance, cost and sustainability.

Skills

Data platform architecture

Team leadership

Cloud data tools (AWS)

Data governance

CI/CD & observability

Stakeholder collaboration

Job description

Babel is seeking an Engineering Manager to lead Babbel’s Data Platform team, owning data infrastructure, pipelines and platform capabilities that support analytics, data science, product and engineering across the company.

This is a hands-on leadership role focused on team health and delivery, creating an environment where engineers can do their best work while delivering reliable, scalable and well-governed data products.