• At least 2 years of critical incident management experience in a high-load 24/7 environment
• At least 3 years of experience in customer support, service delivery or product support
• Experience coordinating the work of several teams at the same time
• Understanding the principles of operation and interaction of large IT systems
• High level of responsibility and self-organization skills
• The English language level is at least B1 for effective communication with an international team.

• 5+ years of experience in managing engineering teams
• Experience in managing multiple teams through team leaders
• Strong technical background, the ability to make architectural decisions and form a technical strategy
• Experience building and scaling engineering teams in a fast-growing environment
• Developed skills in working with stakeholders and cross-functional interaction
• Experience in defining strategy, prioritizing, and allocating resources across teams
• 4+ years of backend development experience, preferably on Golang
• Excellent communication skills, ability to influence decisions at the company-wide level
• Willingness to learn, adapt and work effectively in a team

• At least 3+ years of experience in managing cross-functional teams (hiring, development, performance evaluation and delivery process management)
• Experience leading teams in an AI, ML, or Data-Driven environment
• Strong technical background with development experience and the ability to validate technical solutions
• Experience in creating custom AI products (assistants, recommendation systems, AI features)
• The ability to translate vague product requirements into clear technical solutions and priorities 
• Developed cross-team communication skills and the ability to build interaction with stakeholders
• English level is at least B1 for effective work in an international environment

• Experience in designing and modeling relational or semi-structured databases
• Excellent knowledge of JavaScript and experience writing maintainable and testable code
• Experience working with Low-Code/No-Code platforms (Make, n8n, Zapier, Power Automate, Retool, Bubble, etc.)
• Experience working with Airtable or similar data management systems
• Understanding the principles of REST API, Webhooks, JSON, OAuth, and system integrations
• The ability to analyze business processes and transform them into automated workflows
• Analytical mindset, attention to detail and focus on continuous process improvement
• Excellent communication skills for interacting with both technical and non-technical teams
• Independence and proactive approach to solving problems
• The English language level is at least B1 for effective communication with an international team.

It will be an advantage:

• Experience working with HR-tech solutions, HRIS systems, in fintech or fast-growing startups
• Knowledge of Node.js, Python, or data visualization tools (Power BI, Tableau, Looker, Superset)
• Experience working with SQL, cloud platforms (AWS, GCP, Azure) or RPA tools (for example, UiPath)
• Understanding personal data protection requirements, GDPR, and information security practices
• Experience working in conditions of high uncertainty and creating new processes from scratch

Technical stack:

JavaScript • Airtable • Make • n8n • Zapier • Power Automate • Retool • Bubble • REST API • Webhooks • JSON • OAuth • SQL • Node.js • Python • AWS • GCP • Azure • UiPath

• Work experience in a large engineering organization (300+ engineers)
• Practical experience working with complex distributed systems
• Proven experience influencing architectural decisions outside of your own team
• Experience dealing with architectural errors, refactoring large systems, and incident investigation
• Systems thinking and deep understanding of technical trade-offs
• Developed communication skills and the ability to build a dialogue even in the face of disagreements

Technical stack: 

AWS • EKS • Golang • PostgreSQL • MongoDB • Kafka • Redis

• At least 6+ years of experience in software development
• Experience working with production systems under active development
• Experience in developing and improving the architecture of existing services
• Experience refactoring and upgrading systems without stopping product development and development
• Excellent knowledge of the Go language. Experience working with other programming languages will be an advantage.
• Experience working with PostgreSQL, Redis, Kafka
• Knowledge of REST and gRPC
• The English level is at least B1 - it is necessary for effective communication with an international team.

Technical stack: 

AWS • EKS • Golang • PostgreSQL • MongoDB • Kafka • Redis

• At least 2 years of experience in software development
• Excellent knowledge of the Go language. Experience working with other programming languages will be an advantage.
• Experience in developing reliable, scalable and distributed systems
• Experience working with PostgreSQL, Redis, Kafka
• Knowledge of REST and gRPC
• Attentive attitude to code quality and experience in writing quality tests
• Interest in the design of AI pipelines and practical experience in using modern AI tools
• The English level is at least B1 - it is necessary for effective communication with an international team.

• Work experience of at least 5 years in the field of Compensation & Benefits.
• Practical experience in managing benefit programs in an international company.
• Experience interacting with external providers and service providers.
• Strong process management and operational management skills.
• Analytical mindset and attention to detail.
• Experience in automating processes or implementing improvements will be an advantage.
• Advanced proficiency in Excel and/or Google Sheets.
• English is Upper-Intermediate (B2) and higher.

• Experience working with Cross-Sell, Recommendation Systems, CRM analytics or related areas.
• Higher mathematical, technical, or economic-mathematical education.
• Deep knowledge of mathematical statistics, probability theory and strong systems thinking.
• Advanced proficiency in SQL and Python.
• Experience working with Tableau, Superset, or similar BI tools.
• The ability to understand business goals and transform them into analytical tasks and model requirements.
• Experience in building processes and scaling analytical solutions in a fast-growing environment.
• English at the B1 level and above.

• Experience building dashboards and reporting in BI-tools.
• The ability to visualize data and formulate practical conclusions.
• Strong command of SQL and experience working with relational databases.
• Good knowledge of mathematical statistics and probability theory.
• Analytical thinking and a systematic approach to solving problems.
• Experience in hypothesis testing and analysis of results.
• Developed communication skills.