Engineering Manager | Senior | Knowledge

About the role

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.