About Incode

Incode is the leading provider of world-class identity solutions that is reinventing the way humans authenticate and verify their identities online to power a world of digital trust.

Through our revolutionary identity solutions, we are unleashing the business potential of universal industries including finance, government, retail, hospitality, gaming, and more, by reducing fraud and transforming human interactions with data, products, and services.

We're in the process of rapidly scaling our diverse global team and we're looking for entrepreneurial individuals and leaders who are curious, driven, and excited by ownership to join a Unicorn-status scale-up!

Incode is a Series B unicorn rewriting how the world proves identity. Our AI-powered platform lets leading banks, fintechs, marketplaces, and governments deliver friction-free experiences while defeating fraud and safeguarding privacy. Customers such as Citi, AirBnB, Block, Chime, Sixt, and TikTok rely on Incode to power their identity verification and security.

Recently named a Leader in the Gartner® Magic Quadrant™ for Identity Verification, we're scaling fast — and we're looking for data professionals passionate about investigating data quality problems and building the systems that keep world-class ML models reliable.

The Impact You'll Make

As a Data Analyst on the ID Document Intelligence team, you'll investigate data quality issues, perform root cause analysis, and build the pipelines and automated checks that keep Incode's machine learning ecosystem reliable. You'll ensure that data flows efficiently and accurately through every stage of model training, labeling, and performance tracking.

Your work will be essential to maintaining the scalability, quality, and precision of Incode's document intelligence systems used by millions worldwide.

What You'll Own & Drive

• Root Cause Investigation — Independently investigate data quality issues end-to-end. When a model metric drops or data looks wrong, you own the investigation: forming hypotheses, querying across data sources, and delivering a clear, evidence-backed answer.
• Automated Data Pipelines — Design, build, and maintain pipelines for collection, labeling, validation, and metric computation that support ML training and evaluation.
• Data & Labeling Quality Standards — Establish and monitor consistency checks, accuracy audits, and root-cause analysis when issues impact model outcomes.
• Model Evaluation Metrics — Define, implement, and automate evaluation metrics and reporting that reflect real-world product use cases and business goals.
• Performance Tracking Systems — Build scalable dashboards and monitoring to enable fast, data-driven decisions across teams.
• Workflow Orchestration — Develop and operate reliable orchestration (Airflow, Prefect, or similar) to schedule, observe, and troubleshoot end-to-end pipelines.
• Clean, Maintainable Code — Write SQL and Python to efficiently investigate problems — querying databases, calling internal APIs, and processing data across multiple sources.
• Cross-Functional Partnership — Partner closely with ML engineers, analysts, and product stakeholders to prioritize work by impact, unblock execution, and continuously improve internal tooling for analysis and evaluation.

The Qualities That Set You Apart

• Investigative mindset — You don't stop at the symptom. You chase data anomalies until you find the root cause, and you bring receipts.
• Statistical intuition — You can tell the difference between a meaningful metric shift and noise, and you know how to prove it.
• Builder's bias — You'd rather automate a check than run it manually for the third time.
• Proactive ownership — You spot problems before anyone flags them, and you drive them to resolution without waiting for permission.
• Clear communicator — You translate messy data into crisp answers that ML engineers, PMs, and leadership can act on.

Your Background

• 3+ years of experience as a Data Analyst or in a similar data infrastructure role.
• Strong SQL and Python skills for data investigation and root cause analysis.
• Hands-on experience with AWS Redshift or a similar columnar/cloud database (BigQuery, Snowflake, etc.).
• Solid statistical foundation — you can reason about rates, distributions, significance, and sampling bias.
• Hands-on experience with workflow orchestration tools (Airflow, Prefect, Dagster, etc.).
• Proven experience in data quality management, data preparation, or ML data pipelines.
• A proactive mindset toward identifying problems.
• Strong collaboration and problem-solving skills.
• Background in mathematics, physics, or engineering.

Preferred Experience

• Familiarity with big data technologies or data infrastructure optimization.
• Experience with labeling workflows or ML data preparation pipelines.
• Exposure to AWS or other cloud-based data solutions.
• Interest in machine learning operations (MLOps) and scalable ML systems.

Why Incode?

• Mission with Meaning — Build systems that enable ethical, seamless identity verification for millions.
• Rocket-Ship Growth — Join a company scaling globally with AI at its core.
• Elite Team & Technology — Collaborate with top engineers and data scientists redefining document intelligence.
• Ownership & Autonomy — Operate with end-to-end responsibility for impactful data pipelines.
• Global Impact — Your work will power real-world AI experiences trusted by major enterprises.

Power a world of trust.

At BrainRocket, we manage a high-growth ecosystem of 6,000+ employees across 5+ countries and we are seeking a strategic HR Data Analyst to lead our infrastructure migration to HiBob, standardize our global people metrics, and transform raw data into a strategic asset for leadership and Total Rewards.

Key Missions

• Lead the technical transition from BambooHR to HiBob. You will own the data mapping, historical data migration, and the establishment of a "Single Source of Truth" to ensure 100% data integrity.
• Partner with leadership to execute high-accuracy headcount modeling and payroll budget forecasting. Shift the department from reactive reporting to predictive analytics (e.g., turnover predictors and hiring ROI).
• Eliminate manual reporting bottlenecks. Utilize Python and SQL to automate recurring data pulls, complex calculations, and stakeholder dashboards.
• Design and maintain intuitive, self-service BI dashboards (Tableau/Power BI) to empower stakeholders with real-time, actionable insights.

Your Toolkit

• 3+ years in data analytics, handling large-scale datasets. 
• Deep understanding of HR-specific KPIs (Turnover, eNPS, C&B, Retention).
• Advanced SQL, Python (Pandas, NumPy), and Excel for complex financial modeling, payroll simulations, and automation; expert at architecting data models and dashboards in Tableau or Power BI.
• Ability to translate technical datasets into strategic advice for the Head of Total Rewards and stakeholders.

Our Offer

• Impact a global tech environment during a critical digital transformation phase.
• Full support including flight tickets, visa processing, and 2 weeks of accommodation.
• Competitive salary with annual reviews
• Medical insurance.
• 23 days of annual leave + 6 paid sick days.
• Continuous learning opportunities and a data-driven environment where your insights directly drive change.

At JetBrains, code is our passion. Ever since we started back in 2000, we have been striving to make the strongest, most effective developer tools on earth. By automating routine checks and corrections, our tools speed up production, freeing developers to grow, discover, and create.

The Data Office is responsible for data associated with products, AI, marketing, finance, sales, and more. Our department ensures that all teams at JetBrains have access to up-to-date, reliable, and transparent data and data services.

As part of our growth strategy, we are looking for an experienced, detail-oriented, and self-motivated BI Analyst to develop, maintain, and enhance BI reports and dashboards for our internal customers across corporate functions, including marketing, IT, PMO, and others.

As part of our team, you will:

• Design, develop, and automate reports and dashboards for several of our data domains, such as marketing, IT, and executive reporting.
• Partner with the Data Quality team to define and implement rules that ensure high data reliability standards.
• Continuously engage with other colleagues at JetBrains, including team clients, data partners, data engineers, and data analysts, to gather and refine business requirements.
• Promote best practices in data visualization.
• Participate in both business-driven and technical projects.

We’ll be happy to have you on our team if you have:

• Extensive SQL experience.
• At least three years of experience with Tableau – experience with Metabase or alternative BI tools is a plus.
• Strong knowledge of and experience with dbt.
• Strong attention to detail and the ability to identify small but important differences.
• Ability to work independently, take ownership of tasks, analyze problems, and deliver results within agreed-upon deadlines.
• Fluent English, both written and spoken.
• Proactive mindset.
• Dedication to knowledge sharing and cross-team collaboration.

We’ll be especially thrilled if you have:

• Basic experience in DWH development.
• Basic experience with AWS. 
• Experience in marketing, including marketing metrics, data structures, and marketing data.

Why join JetBrains? 

• Strong base salary. We offer competitive pay that reflects your skills and experience.
• Flexible work location. Enjoy the freedom to work from home or from the office.
• Remote work. Spend up to 30 days per year working remotely from abroad.
• Extra time off. More days to relax, recharge, and do the things you love.
• Medical insurance allowance. Enjoy peace of mind for you and your family
• Learning and development opportunities. Access to conferences, courses, and language classes.
• Relocation support. We help make your move as smooth and stress-free as possible. 
• Language classes. Pick up the local language or sharpen your English skills.
• Fuel your day. Enjoy a hot meal or receive a lunch allowance on workdays.
• Mental health support. To help you feel your best, we provide easy access to professional mental health services.
• Sports benefit. Enjoy an on-site gym or sports club stipend.
• Internal events. Join company-wide celebrations and team gatherings.

*Some benefits may vary depending on location.

#LI-DNI

#LI-KP1

We are looking for a talented Security Operations Center Analyst to join our Information Security team. 

❗️ Important – On-Site Role❗️

This is an on-site position for our office in Belgrade, Serbia.

Remote or hybrid arrangements are NOT available. Candidates must already be in the location or be willing to relocate. The relocation support will be provided if needed.

✅ Key Responsibilities

🔍 Monitoring and Analysis

• Monitor security alerts and events using SIEM, IDS/IPS, firewalls, and other tools.

• Perform initial triage and analysis of security events to detect potential threats and vulnerabilities.

• Investigate network traffic and system logs to identify suspicious or malicious activity.

🚨 Incident Response

• Respond to and manage security incidents in a timely and effective manner.

• Escalate incidents when necessary and coordinate response activities across teams.

• Document all findings, steps taken, and outcomes clearly.

🧾 Reporting & Continuous Improvement

• Maintain detailed records of all security incidents and response actions.

• Create and contribute to incident reports and SOC documentation.

• Participate in post-incident reviews and help improve SOC procedures and playbooks.

✅ Requirements

• 2 years of experience in security operations, incident response, or threat monitoring.

• Strong knowledge of cybersecurity principles, threat vectors, and defense techniques.

• Experience with SIEM tools (e.g., Splunk, Sentinel, QRadar, ELK).

• Familiarity with IDS/IPS, EDR, firewalls, and email/web security solutions.

• Cloud security knowledge (AWS and Azure preferred).

• Understanding of web protocols and application-layer attacks.

• Experience in security investigation and threat hunting.

• Familiarity with MITRE ATT&CK, Cyber Kill Chain, etc.

• Strong communication skills and attention to detail.

✅ Nice to Have

• Bachelor’s degree in Computer Science, Cybersecurity, or related field.

• Knowledge of compliance frameworks such as ISO27001, ISO27701, PCI DSS, GDPR, etc.

✅ What We Offer

🏢 Modern office in New Belgrade.

🏝 24 vacation days annually.

🤒 6 sick days without medical certificate.

🏥 Premium Health Insurance (coverage up to 5,000 EUR annually).

🎉 Special occasion gifts: birthday, wedding, newborn.

📚 Learning & Development budget (for conferences, courses and certifications).

🌍 Corporate events: international parties, team buildings, activities.

📈 Career growth opportunities in a fast-growing company.

✈️ Relocation package for international candidates.

🏋️ Sports package (FitPass membership).

🗣️ Language classes: Serbian & English (company-covered).

We are looking for a person to join our FP&A team

Functional responsibilities:

• Build and maintain Excel-based financial models for forecasting, budgeting, and scenario analysis
• Analyze large datasets to identify trends, variances, and business drivers
• Prepare recurring reporting packs (monthly / quarterly) and ad-hoc management analyses
• Support cost center forecasting, including payroll, OpEx, and headcount tracking
• Perform actual vs. forecast variance analysis and summarize key drivers
• Support cash flow forecasting and working capital tracking
• Consolidate inputs from multiple stakeholders and ensure data accuracy and consistency
• Improve reporting efficiency through automation, templates, and structured data processes

Requirements:

• Experience: 5+ years in Finance with strong exposure to FP&A, reporting, and controlling; experience in international or multi-entity environments (consulting background is a plus)
• Systems & Tools: Advanced Excel skills required; experience with LucaNet, DATEV, Intacct, or comparable ERP/reporting systems preferred
• Education: Degree in Finance, Economics, Business Administration, or related field
• Analytical Strength: Proven ability in financial modeling, forecasting, scenario planning, and sensitivity analysis

Soft Skills:

• Analytical and problem-solving skills for financial decision-making
• Excellent communication and presentation skills for reporting to executives
• Strategic thinking to align financial goals with business objectives
• Attention to detail and high level of accuracy in financial reporting.

We offer:

• Remote
• Fixed rate depending on the career level
• Annual review
• Corporate Laptop
• Free corporate language courses

Team spirit and friendly atmosphere: We work in an open, friendly, and trusting environment that welcomes initiative.In the Xometry team, everyone is ready to help and support during difficult times, and we celebrate victories together, appreciating everyone's contribution.

Development Opportunities: As a fast-growing company, each new task presents an interesting challenge for the team.

We Care: We offer ongoing well-being activities for our employees at no charge and participate in charity projects worldwide.

Flexibility: Our speed and flexibility allow us to achieve amazing results. We have flexible processes and planning that enable us to respond to rapidly changing conditions and remain effective in the face of uncertainty.

Onboarding: We provide a well-structured onboarding plan for new employees that combines all necessary process, technology, and systems components.

#Remote 

We're building an AI copilot for web testing automation. It enables manual and automation QA engineers to turn their manual testing flows into production-ready automated E2E testing scripts, saving hours of manual work and coding. We are a small team with zero bureaucracy, focusing on real users. We optimize for shipping value - not hype.

About the role:

You'll own the top of the funnel: outbound, qualification, and getting leads to sit down for a conversation. Demos, onboarding, and retention are staying with the founder for now.

Phase one: Get individual Automation QAs to try the product, aiming for fast adoption and no procurement. Once we hit 20+ weekly users, we’ll move on to phase two, where we’ll shift the focus to B2B – qualified meetings with QA Leads and Engineering Managers.

Your focus in the first three months:

• Build targeted lists: Automation QAs at companies with web products and Playwright, Cypress, or Selenium in their stack.
• Run outbound sequences (LinkedIn is the baseline, but you decide the channels). A/B test weekly.
• Design qualification gates (forms and scoring) to filter leads before the founder calls.
• Reach 20+ weekly active users after month one – ICP-qualified and giving direct feedback to engineering.
• Document what works into a repeatable playbook.

Growth path:

This role expands as your strategies deliver results. Once the user pipeline works, you can take over demos and run B2B sales end to end. From there, the natural next step is Growth Lead (funnel optimization and scaling the playbook) or Account Executive (owning deal execution).

Why to join:

• You'll be building a strategy that scales the product, not filling a quota. What you create from scratch becomes the foundation.
• Your outreach turns into users who talk directly to engineering, and their feedback ships as features within days.
• AI for developer tools is a market with real pull, and QA automation is one of its sharpest pain points.
• We’re backed by JetBrains – financially secure with no reliance on external VC funding.

Who we're looking for:

You should have a high level of agency and be quant-minded – you live in funnel metrics, run experiments, and are comfortable saying "no" to leads that are a bad fit. 

The ideal candidate will:

• Have done 0-to-1 outbound for an early-stage devtool, QA tool, infrastructure product, or similar.
• Have proven cold outbound results, instead of being dependent on warm inbound.
• Be able to talk credibly about flaky tests, CI pain, and Playwright vs. Cypress. You don't need to be an engineer, but you do need domain empathy.
• Possess strong written communication skills, with the ability to craft short, sharp messages that get replies.

Nice to have:

• A QA or SDET background – you've felt the pain yourself before moving to sales or BD.
• Exposure to security/compliance objections – enough to pre-empt and route.
• Content skills – your LinkedIn posts get engagement, not just your DMs.
• Experience as one of the first 10 employees at a startup.

#LI-REMOTE 
#LI-KT1

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• Proven years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

• Partner with Sales stakeholders to define analytical requirements, metrics, and KPIs, and identify opportunities for improvement.
• Develop and maintain dashboards, reports, and visualizations that provide timely and actionable insights.
• Analyze revenue streams and contribute to forecasting using statistical, heuristic, or machine learning approaches.
• Perform exploratory and ad hoc analyses to support decision-making across Sales and related teams.
• Collaborate with data engineers to design and implement data marts, reporting layers, and ETL pipelines; contribute to our dbt-based analytics infrastructure.
• Support Sales Development and Lead Generation teams by analyzing experiments and campaign performance.
• Monitor data quality across reporting assets and work with data owners to resolve issues.
• Document metrics, dashboards, and data sources, and help stakeholders effectively use analytics tools.
• Promote self-service analytics by enabling teams to access and interpret data independently.

• 5+ years of experience in a BI, data analysis, or similar analytical role.
• Strong SQL skills and experience with Python, R, or another relevant programming language.
• Experience with BI and visualization tools such as Tableau, Power BI, Qlik, DataLens, or similar.
• Understanding of data warehousing concepts, relational databases, and data processing workflows.
• Experience working with structured datasets and building reliable reporting solutions.
• Strong analytical thinking, attention to detail, and curiosity about data.
• Ability to communicate clearly with both technical and non-technical stakeholders.
• Professional working proficiency in English.

• Experience working with Sales, Marketing, or other go-to-market domains, especially in B2B environments.
• Hands-on experience building ETL pipelines and preparing datasets for analytics.
• Experience working with dbt or similar data transformation tools.
• Familiarity with data governance and data quality practices.

#LI-DNI

At BrainRocket, we believe that data-driven insights are the backbone of effective people management. We are looking for a strategic HR Data Analyst to own our people metrics, streamline our reporting ecosystem, and provide the analytical firepower needed to optimize recruitment, budgeting, and resource planning.

If you’re a master of data storytelling who can turn complex datasets into actionable leadership strategies, we want you on the team.

What You’ll Do

• End-to-End People Analytics: Lead deep-dive analysis across the entire employee lifecycle—from sourcing and onboarding efficiency to time-off trends and turnover predictors.

• Budget & Strategic Planning: Act as a key partner in HR budget execution. You will support leadership with high-accuracy resource forecasting and headcount modeling to ensure we scale intelligently.

• Reporting & Self-Service: Design, build, and maintain automated, intuitive dashboards. Your goal is to democratize data, empowering stakeholders with real-time insights at their fingertips.

• Data Stewardship: Maintain the "single source of truth." You’ll ensure total data integrity and consistency across all internal HR systems and integrations.

What You Bring

• Experience: 3+ years of professional experience in data analytics, ideally within an HR or People Ops environment.

• Excel Mastery: Expert-level skills in data manipulation, complex modeling, and advanced formulas (you know your way around more than just a VLOOKUP).

• Technical Proficiency: Strong Python skills for data processing, automation, and scripting to handle repetitive tasks and large datasets.

• Data Visualization: Proven ability to build sleek, insightful dashboards in BI tools like Tableau or Power BI.

• Strategic Mindset: You don’t just report numbers; you translate raw data into business stories and strategic advice that drives change.

Perks & Benefits

At BrainRocket, we offer a comprehensive benefits package designed to support your professional growth and personal well-being:

• Modern Workspace: Work from our state-of-the-art office located in the heart of New Belgrade.

• Generous Paid Time Off: Enjoy 24 days of annual vacation plus 6 paid sick days provided without the need for a medical certificate.

• Premium Health Coverage: Private health insurance with comprehensive coverage of up to 5,000 EUR annually.

• Life Milestones: We celebrate your personal wins with special company gifts for birthdays, weddings, and newborns.

• Professional Development: A dedicated Learning & Development budget to fund your attendance at international conferences, specialized courses, and professional certifications.

• Vibrant Culture: Frequent corporate events, including international parties, structured team-building activities, and social outings.

• Career Advancement: Clear pathways for growth and promotion within a fast-scaling global company.

• Relocation Support: A full relocation package is available for international candidates to ensure a smooth transition.

• Wellness & Fitness: Stay active with a company-sponsored Sports Package (FitPass membership).

• Language Learning: Company-covered Serbian and English classes to help you integrate and communicate effectively.

✅Key responsibilities:
✔️ Manage Product Backlog Formulating the list of backlog items and prioritising them as per the critical business objectives;

✔️ Define Sprint Objectives The product owner defines the suggested sprint objective which will serve as a base to determine the sprint goal;

✔️Review and approve the work done by the development team: The product owner inspects the product increment made by the development team in each iteration, from design preparation to production release verification;

✔️ Provide effective communication to the stakeholders of the project: The Product Owner is the central communicator between the development team and the stakeholders;
They need to be clear and concise communicators to ensure there is approval of the stakeholders for all major decisions and strategies;

✔️ Backlog Refinement: Ability to prioritise, enhance, and finalise the items with the team before the sprint planning;

✔️ Create and Maintain Change Requests Associated with the Product: Predominantly an Operational task. The Product Owner will gather and prioritise operational changes and include them within the Product Backlog for future sprint iteration;

✔️ Define Acceptance Criteria for their Product: The Product Owner must know what they want their product features to achieve.Having strongly defined acceptance criteria is vital to ensure
that the Product performs to the expected standard. A/C's should always be confirmed with Stakeholders and will be used as a baseline for QA to test against;

✔️ Gather Functional and non Functional Requirements: The Product Owner will ensure that all requirements are gathered and that they meet the Product Managers expectations;

✔️ Maintain Requirements: Requirements may be adjusted during the project lifecycle, this is to be expected in a dynamic environment such as ours.
If a requirement is adjusted then this must be reflected at the appropriate level (Epic, Story);

✔️ Verify Requirements: Once the requirements, functional and non functional, have been gathered from the Stakeholder the Product Owner will confirm and agree that the requirements are fit for purpose and use;

✔️ Create and Maintain Epics, Stories, Use and Edge Cases. Although the creation of these artefacts may be done by another team the Product Owner holds accountability for the quality of their content;

✔️Participate in OKR planning: Working closely with stakeholders and participating in quarterly OKR planning for the product, including estimating their achievement.

✅Requirements:

✔️ Experience:

At least 3 years as a Product Owner or similar role (Business Analyst, System Analyst, Quality Assurance Analyst).

✔️ Skills Requirements:

  To execute tasks, technical understanding is required in the following areas:

- Requirements lifecycle

- Product backlog management

- Product development architecture

- API integrations

- Scrum and Agile development methodologies

- User experience principles

- Coding and designing (nice to have)

✔️ Communication Skills (Proficient in English)

Use of verbal, nonverbal and written communication skills to create and convey product goals. Reporting insights which allows them to maximise product value and address issues during the early stages of development.

✔️ Analytical Skills

Ability to analyse various issues and find workable solutions as quickly as possible. Identify, collect and analyse information, use reason to solve complex problems and make decisions based on logical conclusions.

✔️ Decision Making

Use technical, analytical and communications skills to make crucial decisions regarding their products success and development. After identifying an issue you must be able to collect and collate all relevant information, find ways of dealing with it, decide on the best option and implement/evaluate the results.

✔️ Organisational skills

Skills of establishing and managing processes, adapting them as necessary, and leading productive, inclusive meetings that foster collaboration and decision-making

✔️ Leadership

You will lead a team (without being a manager), therefore you must be able to demonstrate effective leadership techniques.Bring vision to the team, mentor where needed and negotiate with team members and the wider business.

✔️ Conflict Resolution

You will act as a mediator if/when conflict arises to ensure that the development stays on schedule. You will have the ability to resolve disputes over resource or power dynamics, using active listening skills to consider both sides and then make the decision.

✔️ Professional Certification:

PSPO level 1 or similar, but not a requirement

✅ We offer excellent benefits, including but not limited to:

🧑🏻‍💻 Learning and development opportunities and interesting challenging tasks;

✈️ Relocation package (tickets, staying in a hotel for 2 weeks and visa relocation support for our employees and their family members);

📚 Opportunity to develop language skills and partial compensation for the cost of language classes;

🏥 Private medical coverage;

🎁 Birthday celebration present;

🏝 Annual Vacation and paid sick days;

✅ Competitive remuneration level with annual review;

🤝 Teambuilding activities.