Engineering Manager responsible for leading a team delivering high - quality tech solutions at Tendium, an AI - driven public procurement platform.
About the role
- 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.
Job title
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Degree requirement
Tech skills
Location requirements
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