Senior Vice President Of Engineering (AI)

TL;DR

Senior Vice President of Engineering (AI): Leading and scaling the engineering organization to build world-class data intelligence solutions with an accent on AI, connectivity, and cloud operations. Focus on modern architectures, DevOps practices, and talent acquisition strategies.

Location: Based in Europe, with the ability to collaborate effectively across global time zones.

Company

hirify.global is a global leader in hybrid data management, cloud data warehousing, and data integration technologies.

What you will do

• Define and execute the engineering vision and strategy in alignment with company objectives and product roadmaps.
• Oversee the technical strategy for AI, connectivity, and cloud operations, ensuring scalability and performance.
• Lead transformation initiatives that evolve engineering processes, tools, and culture to meet global scale demands.
• Build and scale a world-class engineering organization across multiple geographies.
• Ensure delivery excellence across product development, AI initiatives, quality engineering, and cloud operations.

Requirements

• 20+ years of experience in software engineering, with at least 8 years in senior executive leadership roles.
• Proven track record of scaling large, distributed engineering organizations in fast-growing software or SaaS environments.
• Deep expertise in cloud-native architectures, AI/ML integration, connectivity, and modern DevOps practices.
• Strong experience managing multi-disciplinary teams (engineering, quality, operations) across international locations.
• Exceptional leadership, organizational design, and stakeholder management skills.
• Fluency in English (both written and spoken) is required.

Nice to have

• Knowledge of the French language is a plus.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field (MBA or equivalent experience a plus).

Culture & Benefits

• The chance to be part of an innovative, fast-growing company making a significant impact in the data management space.
• Collaboration with a passionate and diverse team.
• Competitive salary and benefits package.
• Flexible work arrangements (remote or hybrid).
• Opportunities for professional growth and development.