AI Platform Engineering Manager — Lead Internal AI Services

platacard

EE. UU.

A distancia

USD 140.000 - 210.000

Jornada completa

Hace 8 días

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Ventajas ofrecidas por este puesto de trabajo

Remote work with relocation support to
Healthcare coverage
Education budget
Wellness reimbursements
Annual leave and paid sick leave

Descripción de la vacante

platacard is seeking a Senior Engineering Manager to lead an internal AI platform team. You will blend people leadership with hands-on direction, guiding platform work from scoping to production, and shaping architecture and priorities with product, data, and AI partners as adoption grows.

You will recruit and develop engineers, own delivery of platform capabilities, and translate business needs into technical plans.

Formación

  • Experience leading engineering teams, including hiring and delivering results.
  • Background leading AI/ML or data-focused engineering, including training models.
  • English proficiency at B1 level or higher.
  • Ability to translate ambiguous requirements into concrete technical plans.

Responsabilidades

  • Build and develop the team through hiring, planning, coaching, and performance management.
  • Own delivery of internal AI platform capabilities, keeping services dependable as more teams use them.
  • Turn recurring user needs into reusable platform features and integrations.
  • Translate loosely defined business needs into technical plans, priorities, and delivery milestones.
  • Make informed decisions about building, adopting, or extending existing open-source tools.
  • Design and review backend services, APIs, and integrations, and collaborate with platform users to support adoption.

Conocimientos

Engineering team leadership
AI/ML or data-focused engineering
Hands-on software engineering
Productionizing AI products
Requirements clarification

Descripción del empleo

platacard is seeking a Senior Engineering Manager to lead an internal AI platform team. You will blend people leadership with hands-on direction, guiding platform work from scoping to production, and shaping architecture and priorities with product, data, and AI partners as adoption grows.

You will recruit and develop engineers, own delivery of platform capabilities, and translate business needs into technical plans.

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