Director, Engineering Manager Full Time NEW

Welcome to TP, a global hub of innovation and empowerment, where we redefine the future. With a remarkable €10 billion annual revenue and a global team of 500,000 employees serving 170 countries in over 300 languages, we lead in intelligent, digital-first solutions.

As a Great Place to Work certified in 72 countries, our culture thrives on diversity, equity, and inclusion. We value your unique perspective and believe that your talent is the missing piece that completes our vision for a brighter, digitally driven tomorrow.

The Opportunity

In this role, you will oversee the transition of AI/ML prototypes into robust, production-ready services, ensuring that our delivery is as predictable as it is groundbreaking. If you have a passion for mentoring elite technical talent and a relentless focus on engineering excellence, this is your opportunity to shape the culture and output of a world-class AI engineering organization.

The Responsibilities

• Lead multidisciplinary engineering squads in developing scalable applications, APIs, and AI-enabled services.
• Own the full development lifecycle—from sprint planning and execution to release cycles—ensuring predictable, high-quality delivery.
• Establish and enforce elite engineering practices, including peer code reviews, testing discipline, and strict production readiness protocols.
• Partner closely with Product Managers and AI specialists to integrate LLM services and automation workflows into core enterprise platforms.
• Act as the primary catalyst for moving solutions out of the lab and into the hands of global users, ensuring they are built for scale from day one.
• Collaborate with Architects to ensure all development aligns with TP.ai architecture and global security standards.
• Promote the adoption of reusable services, internal APIs, and microservices to reduce technical debt and increase speed-to-market.
• Drive the deep integration of DevOps, CI/CD, and real-time observability across all engineering teams.
• Align with Delivery and Architecture leads to prioritize initiatives and proactively resolve technical or resource-based delivery bottlenecks.
• Communicate complex technical decisions and project status clearly to executive leadership and cross-functional stakeholders.
• Actively coach engineers and technical leads, fostering career growth and building a deep bench of leadership talent.
• Lead the charge in hiring, onboarding, and upskilling talent to meet the evolving needs of our AI-first mission.

The Qualifications

• Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field.
• 8–12 years in software engineering or platform development, with 2–4 years of direct experience managing engineering teams or leading large-scale technical delivery.
• A proven history of delivering enterprise-grade software products in fast-paced, Agile environments.
• Strong background in backend or full-stack development (Python, Node.js, Java, or similar).
• Expertise in building microservices architectures and managing containerized deployments via Docker and Kubernetes.
• Familiarity with cloud ecosystems (Azure, AWS, or GCP) and a solid understanding of AI/ML integration patterns, including APIs and data pipelines.
• Practical experience with observability tools, logging frameworks, and production monitoring to ensure 24/7 system health.

Pre-Employment Screenings

By TP policy, employment in this position will be contingent on your successful completion of and passage of a comprehensive background check, including global sanctions and watchlist screening.

Important | Policy on Unsolicited Third-Party Candidate Submissions

TP does not accept candidate submissions from unsolicited third parties, including recruiters or headhunters. Applications will not be considered, and no contractual association will be established through such submissions.

Culture & Belonging

At TP, we are committed to fostering a diverse, equitable, and inclusive workplace. We welcome individuals from all backgrounds and lifestyles and do not discriminate on the basis of gender identity or expression, sexual orientation, race, religion, age, national origin, citizenship, disability, pregnancy status, veteran status, or other differences.