Engineering Manager

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.
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