Engineering Manager [AI Platform]

platacard; United States; Remote; USD 140,000 - 210,000; Full time

Benefits offered by this job

Remote work with relocation support to

Healthcare coverage

Education budget

Wellness reimbursements

Annual leave and paid sick leave

Job summary

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.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Engineering team leadership

AI/ML or data-focused engineering

Hands-on software engineering

Productionizing AI products

Requirements clarification

Job description

Role overview

Lead a cross-functional engineering team responsible for internal AI platforms, combining people leadership with hands-on technical direction. You'll guide platform work from early scoping through production, shaping architecture and priorities with product, data, and AI partners as adoption grows.

Responsibilities

• 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.

Requirements

• Experience leading engineering teams, including hiring, developing people, and managing delivery.
• Background leading teams in AI, machine learning, or data-focused engineering, including training models directly.
• Strong software engineering experience and the ability to assess technical choices hands-on.
• Experience taking AI-enabled products or services from concept to production and measuring results through experiments or other metrics.
• Skill in clarifying ambiguous requirements and working across technical and business groups.
• English proficiency at B1 level or higher.

Benefits and work setup

Work can be based remotely or from an office. Relocation assistance is available for the team's hubs in Cyprus, Spain, or Georgia, including support for family members. Benefits include healthcare coverage, a budget for education and professional certifications, wellness reimbursements, and annual leave and paid sick leave under applicable policies.