Engineering Manager Budapest

Senior Engineering Manager

Budapest, Hungary (Hybrid)

Join our client and be part of a team that celebrates your unique work style. With flexible work options, a supportive team, and rewards that reflect your value, you can focus on what matters most – driving your growth, while fueling ours.

Our commitment to respect, transparency, and simplicity means you can trust us to always choose to do the right thing.

As a trusted partner for purpose-built AI and intelligent automation, we solve highly complex problems for our enterprise
customers and put their information to work to transform the way they do business.
Over 10, 000 customers trustour client,
including many Fortune 500 ones. You will work on further developing a portfolio already containing client names such as
DHL, Johnson & Johnson, FDA, DMV, PwC, KeyBank, Spotify, and H&R BLOCK.

We are seeking an experienced Senior Engineering Manager to join our AI Labs team and drive the development of next-generation document understanding technologies. Reporting to the VP of AI Labs, this role focuses on people leadership, team growth, and cross-functional collaboration while maintaining technical credibility with engineering teams. The ideal candidate will manage multiple AI/ML engineering teams, foster innovation culture, and execute on the strategic vision set by AI Labs leadership.

Core Responsibilities - People Leadership: Lead and scale multiple AI/ML engineering teams, providing coaching, mentorship, and performance management while fostering a culture of ownership, accountability, and psychological safety - Execution Excellence: Plan, prioritize, and oversee execution of AI/ML projects, ensuring on-time delivery while holding teams accountable and actively removing blockers - Cross-Functional Collaboration: Partner with Product, other Engineering teams that integrate our technology, and Customer Success teams to align technical execution with business objectives and drive customer-centric solutions - Technical Oversight: Provide guidance on ML architecture decisions, ensure engineering best practices, and support technical vision implementation alongside Principal ML Engineers and Tech Leads - Transparent Communication: Maintain deep visibility into team progress and challenges, proactively surfacing issues and risks to AI Labs leadership with no surprises - Process Innovation: Design and implement scalable engineering processes, drive continuous improvement in development velocity, and lead incident response coordination - Strategic Support: Support AI Labs leadership in strategic planning, establish team performance metrics, and represent engineering in cross-functional meetings - Culture Development: Drive diversity and inclusion initiatives, conduct regular 1:1s and performance reviews, and handle difficult conversations with clarity and fairness - Decision Making: Make tough operational and technical decisions when necessary, bring structure to ambiguous situations, and drive technical debt management and modernization efforts

Required Qualifications

Education & Experience: - BS/MS in Computer Science, Engineering, Mathematics, or related technical field - 8+ years of software engineering experience with 4+ years in engineering management roles - Previous experience as a Tech Lead or Senior Engineer with hands-on development background

Technical Expertise: - Deep understanding of Machine Learning, Computer Vision, and modern Deep Learning architectures - Proficiency in reading and reviewing code in Python, with understanding of ML frameworks (PyTorch, TensorFlow) - Experience with cloud platforms, MLOps, and production ML system architecture Strong understanding of ML product lifecycle including experimentation, model versioning, deployment, and monitoring - Understanding of software development lifecycle, CI/CD, and modern engineering practices

Leadership & Communication: - Exceptional people management skills with experience in performance management, accountability, and career development - Strong track record of building and scaling high-performing engineering teams with a culture of ownership - Excellence in cross-functional collaboration and stakeholder management - Proven ability to translate business requirements into technical strategies and drive execution - Outstanding communication skills with ability to maintain transparency and trust with leadership Experience making tough decisions and having direct conversations about performance and expectations - Ability to bring structure and clarity to ambiguous situations

Preferred Qualifications: - Extensive experience with multimodal models and ML product lifecycle management - Experience with Large Language Models (LLMs) and Vision-Language Models (VLMs) - Experience in development of cross-platform Computer Vision libraries - Experience with Optical Character Recognition (OCR), Intelligent Document Processing (IDP), document understanding, natural language processing, or computer vision applications - Experience managing teams working on complex or legacy codebases while driving modernization efforts

Here are some of our local benefits: