Open role · Engineering

Engineering Manager, Data Platform and AI Products

Work mode: Remote (EST preferred) Engagement type: Full-time Contract Req ID: GDBI-1U3W5R9T

Role summary

Lead the engineering team building NoèmeX data platforms, analytics infrastructure and AI-enabled products while balancing client delivery with long-term platform quality.

What you’ll do

Lead and develop a multidisciplinary engineering team working across data platforms and AI products.
Set technical direction with Product, Data Science and Customer Success leaders.
Prioritize staffing and delivery across client needs, platform improvements and product development.
Build strong engineering practices around data quality, reliability, architecture and operational ownership.
Recruit, coach and provide clear performance feedback to engineers.
Create an environment where teams can ship quickly without compromising production standards.

What you should bring

Engineering-management experience leading teams responsible for production software or data platforms.
Strong technical understanding of modern data systems and AI-enabled product development.
Experience managing priorities across product roadmaps and customer delivery.
Ability to coach engineers while maintaining high technical and operational standards.
Strong cross-functional communication and planning skills.
A record of improving engineering systems, team health and delivery reliability.

Useful additional experience

Hands-on data-platform engineering background
AI product or MLOps experience
Enterprise client delivery
Experience scaling small engineering teams

How we work

NoèmeX teams stay close to the business problem and the production system. You may work across client delivery, platform development or internal capabilities depending on the role. We value clear specifications, maintainable architecture, disciplined execution and direct communication.

Hiring process

The exact assessment varies by role. Shortlisted candidates should expect an initial conversation followed by a role-relevant technical, practical or structured panel assessment before a final decision.

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