Hybrid Engineering Manager, AI/ML Production

Sabia Personal; Donostia/San Sebastián; Hybrid; EUR 120,000 - 180,000; Full time

Benefits offered by this job

Indefinite contract

Signing bonus

Work visa sponsorship

Relocation package

Private health insurance

Education budget

Hybrid opportunity

Language classes

Discounted lunch

High-performance environment

Career plan

Job summary

Sabia Personal seeks a senior manager to lead a small engineering team, manage customer relationships, and drive project delivery in a hybrid setup. The role emphasizes ownership of delivery, performance reviews, and collaboration with AI-focused stakeholders.

Ideal candidates hold a PhD in AI/CS/Physics/Engineering, 5+ years in related fields, and experience with model optimization tools. Signing bonus, visa sponsorship, relocation, and education budget are offered.

Qualifications

• Solid engineering foundations and 3+ years in engineering roles.
• Experience owning external customer delivery and managing expectations.
• Direct experience supervising software engineers, data engineers/scientists, or AI professionals for 2+ years.
• Ownership of feedback, 1:1s, performance reviews and development plans.
• Ability to understand deployed AI systems and balance trade-offs with guidance from Tech Lead.

Responsibilities

• Lead a small team of engineers and manage customer relationships.
• Own project delivery with defined scope, priorities and risks.
• Participate in technical discovery and architecture discussions as needed.
• Limit coding while focusing on people management and delivery outcomes.

Skills

People management

Customer delivery ownership

Stakeholder management

Education

PhD in AI/CS/Physics/Engineering

Tools

TensorRT

vLLM

Job description

Sabia Personal seeks a senior manager to lead a small engineering team, manage customer relationships, and drive project delivery in a hybrid setup. The role emphasizes ownership of delivery, performance reviews, and collaboration with AI-focused stakeholders.

Ideal candidates hold a PhD in AI/CS/Physics/Engineering, 5+ years in related fields, and experience with model optimization tools. Signing bonus, visa sponsorship, relocation, and education budget are offered.