NE

Engineering Manager | Senior | Knowledge

Hiring from
Lithuania
Work type
Hybrid
Posted
Sep 26, 2026
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Join the AI revolution. We’re building an all-in-one AI platform to help teams do their best work and automate every routine task you can think of. We’re looking for problem-solvers to turn powerful AI into an easy, no-code tool for teams everywhere.

Main 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.
  • Core 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.
  • Tools You'll Use

  • React, Go, Large Language Models (LLMs)
  • Distributed database technologies and advanced data stores
  • Cloud-native storage solutions and data lakes
  • Real-time observability, monitoring, and alerting platforms
  • Robust security frameworks and compliance practices
  • What We Offer

    • 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.

    View our guidelines for AI usage during hiring process: AI guidelines

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