Senior Engineering Manager overseeing multiple AI/ML engineering teams at ABBYY. Driving innovation, cross-functional collaboration, and executing strategic vision in document understanding technologies.
Responsibilities
Lead and scale multiple AI/ML engineering teams, providing coaching, mentorship, and performance management while fostering a culture of ownership, accountability, and psychological safety.
Plan, prioritize, and oversee execution of AI/ML projects, ensuring on-time delivery while holding teams accountable and actively removing blockers.
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.
Provide guidance on ML architecture decisions, ensure engineering best practices, and support technical vision implementation alongside Principal ML Engineers and Tech Leads.
Maintain deep visibility into team progress and challenges, proactively surfacing issues and risks to AI Labs leadership with no surprises.
Design and implement scalable engineering processes, drive continuous improvement in development velocity, and lead incident response coordination.
Support AI Labs leadership in strategic planning, establish team performance metrics, and represent engineering in cross-functional meetings.
Drive diversity and inclusion initiatives, conduct regular 1:1s and performance reviews, and handle difficult conversations with clarity and fairness.
Make tough operational and technical decisions when necessary, bring structure to ambiguous situations, and drive technical debt management and modernization efforts.
Requirements
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
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
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.
Benefits
We provide remote and hybrid working options to fit all lifestyles.
We use flexible hours across most of our teams to allow you to find your own definition of balance.
Encouraging a culture of giving, we provide two paid volunteering days off every year so you can take time to contribute to the causes you care about.
To ensure your family is cared for, we offer paid parental leave in all our locations.
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