Engineering Manager | Senior | Agents

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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