Hybrid Engineering Manager – Senior

at nexos.ai

• Job title: Engineering Manager – Senior
• Job type: Full Time
• Experience level: Senior
• Salary: Not specified
• Degree requirement: No Education Requirement
• Tech skills: Distributed Systems
• Location requirements: Hybrid, Vilnius, Lithuania

About the role

• Engineering Manager leading the product engineering team to develop cutting-edge AI platforms. Collaborating on complex data workflows and promoting an excellent engineering culture in a high-growth environment.

Responsibilities

• Lead and grow the product engineering team responsible for developing cutting-edge intelligent systems.
• Enable the team to deliver high-impact, critical services across storage architecture, real-time observability, and scalable, resilient infrastructure.
• Collaborate with Product Owners to prioritize and deliver robust, intuitive systems that handle complex data pipelines and advanced engineering workflows.
• Align with other engineering teams to ensure synchronization and seamless development across the organization, driving innovation at scale.
• Foster an excellent engineering culture guided by our company values and engineering principles, promoting continuous learning and technical excellence.
• Hire, mentor, and develop team leads as the organization grows, cultivating strong technical leadership.

Requirements

• Senior developer background with exceptional technical skills in designing, building, and optimizing distributed systems.
• Strong technical leadership experience in a fast-paced, high-growth environment, guiding teams through complex technical challenges.
• Ability to collaborate effectively with product teams and other stakeholders, translating strategic goals into technical execution.
• Proven track record of delivering sophisticated technical solutions, particularly those involving large-scale data processing or intelligent applications.
• Deep interest in continually learning about AI technologies, machine learning infrastructure, and their practical applications.
• A passion for building impactful products that leverage advanced technology to solve complex user problems.
• Strong delivery focus, emphasizing technical excellence, reliability, and measurable impact.
• Experience with machine learning operations (MLOps) or deploying AI/ML models in production environments is a bonus.

Benefits

• Professional growth. Internal and external events, online training, conferences, books - everything you need to reach full potential.
• Health benefits. Private health insurance, online and on-site workouts, consultations to feel and be your best.
• Team spirit. Team buildings and parties with games, shows, tastings, food coupons, gifts, and it’s on us.
• More free time. Stay with us and additional vacation days will be added to your calendar.
• Additional paid leave. Additional days are covered by us in cases of illness or special occasions.
• Flexibility. Flexible working time arrangement.