Jobs at Djinni

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
Our client's mission is to reduce the time and money enterprises spend on state-of-the-art technology by 99%. It is the core constraint that drives the product philosophy. It forces the company to reject incremental improvements and pursue fundamental breakthroughs. These principles are the operating system for how the company thinks, builds, and ships. They are how the company turns radical ambition into reality.

About the role:
We are looking for a Full Stack AI Engineer who will join the team. You'll be an architect of the revolution against enterprise tech waste. You'll build the core platform and intelligent agents that power the company's mission — not optimizing existing workflows, but eliminating them entirely.

Requirements:
- 5+ years of industry experience in product-centric full-stack engineering roles;
- Very strong software engineering background with deep expertise in Python/Typescript.
- Hands-on LLM product patterns (prompting, tool use, routing, evals, regression testing);
Experience of working with Agents & LLMs:
- LangGraph/LangChain (know its limitations & trade-offs);
- Multi-provider routing, prompt tooling, trace/eval discipline (LangSmith);

Experience of working with Knowledge & Search Technologies:
- Vector — pgvector on PostgreSQL (semantic);
- Graph traversal — Cypher on Neo4j (relationships & enterprise context graph);
- Keyword/BM25 — lexical precision;
- Cross-Encoder (BGE Reranker) + RRF (blend lists robustly);
Deep knowledge of working with Data & Databases:
- PostgreSQL (Cloud SQL) — primary OLTP;
- SQLAlchemy and BigQuery — analytics/outcomes & cost/waste telemetry;
- Redis (Memorystore) — caching + lightweight queue/broker;
- GCS — object storage (files, audio, artifacts);

Responsibilities:
Design & Build Autonomous Agents:
- Tackle the end-to-end challenge of creating agents that solve open-ended enterprise problems.
- Wrangling high-volume enterprise data, building robust evaluation frameworks.
- Mastering the interplay between LLM prompting, fine-tuning, and scalable system architecture.
- Lead Customer Conversations & Translate to Product: Work directly with customer executives to translate their most critical objectives into breakthrough product features.
- Build the "New": Own the most audacious hypotheses, like fully autonomous optimization agents that replace entire consulting engagements and obsolete the need for army-style deployments.
- Master Deep Context: Build systems that understand enterprise architecture patterns better than most architects, automatically discovering waste and optimization opportunities.
- Take single-threaded ownership of core AI product areas, with end-to-end responsibility for customer success and business outcomes.
- Double as a Forward Deployed Engineer: Work regularly onsite with customers, and actually work with the systems.
- Every customer engagement becomes R&D for the platform, turning individual pain points into generalizable breakthroughs that serve the entire customer base

About us:
Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.
 

About the client:
Our client is an IT company that develops technological solutions and products to help companies reach their full potential and meet the needs of their users. The team comprises over 600 specialists in IT and Digital, with solid expertise in various technology stacks necessary for creating complex solutions.
 

About the role:
We are looking for an experienced Senior Data Scientist / NLP Lead to spearhead the development of cutting-edge natural language processing solutions for the Ukrainian LLM project. You will lead the NLP team in designing, implementing, and deploying large-scale language models and NLP algorithms that power the products.

This role is critical to the mission of advancing AI in the Ukrainian language context, and offers the opportunity to drive technical decisions, mentor a team of data scientists, and shape the future of AI capabilities in Ukraine.
 

Requirements:
Education & Experience:
- 5+ years of experience in data science or machine learning, with a strong focus on NLP.
- Proven track record of developing and deploying NLP or ML models at scale in production environments.
- An advanced degree (Master’s or PhD) in Computer Science, Computational Linguistics, Machine Learning, or a related field is highly preferred.

NLP Expertise:
- Deep understanding of natural language processing techniques and algorithms.
- Hands-on experience with modern NLP approaches, including embedding models, text classification, sequence tagging (NER), and transformers/LLMs.
- Deep understanding of transformer architectures and knowledge of LLM training and fine-tuning techniques, hands-on experience developing solutions on LLM, and knowledge of linguistic nuances in Ukrainian or other languages.

Advanced NLP/ML Techniques:
- Experience with evaluation metrics for language models (perplexity, BLEU, ROUGE, etc.) and with techniques for model optimization (quantization, knowledge distillation) to improve efficiency.
- Background in information retrieval or RAG (Retrieval-Augmented Generation) is a plus for building systems that augment LLMs with external knowledge.
ML & Programming Skills:
- Proficiency in Python and common data science libraries (pandas, NumPy, scikit-learn).
- Strong experience with deep learning frameworks such as PyTorch or TensorFlow for building NLP models.
- Ability to write efficient, clean code and debug complex model issues.

Data & Analytics:
- Solid understanding of data analytics and statistics.
- Experience in experimental design, A/B testing, and statistical hypothesis testing to evaluate model performance.
- Experience on how to build a representative benchmarking framework given business requirements for LLM.
- Comfortable working with large datasets, writing complex SQL queries, and using data visualization to inform decisions.

Deployment & Tools:
- Experience deploying machine learning models in production (e.g., using REST APIs or batch pipelines) and integrating with real-world applications.
- Familiarity with MLOps concepts and tools (version control for models/data, CI/CD for ML).
- Experience with cloud platforms (AWS, GCP or Azure) and big data technologies (Spark, Hadoop) for scaling data processing or model training is a plus.
- Hands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML, as well as ML workflow tools (MLflow, Airflow).
Leadership & Communication:
- Demonstrated ability to lead technical projects and mentor junior team members.
- Strong communication skills to convey complex ML results to non-technical stakeholders and to document methodologies clearly.

Responsibilities:
- Lead end-to-end development of NLP and LLM models - from data exploration and model prototyping to validation and production deployment. This includes designing novel model architectures or fine-tuning state-of-the-art transformer models (e.g., BERT, GPT) to solve project-specific language tasks.
- Analyze large text datasets (Ukrainian and multilingual corpora) to extract insights and build robust training datasets.
- Guide data collection and annotation efforts to ensure high-quality data for model training.
- Develop and implement NLP algorithms for a range of tasks such as text classification, named entity recognition, semantic search, and conversational AI.
- Stay up-to-date with the latest research to apply transformer-based models, embeddings, and other modern NLP techniques in the solutions.
- Establish evaluation metrics and validation frameworks for model performance, including accuracy, factuality, and bias.
- Design A/B tests and statistical experiments to compare model variants and validate improvements.
- Deploy and integrate NLP models into production systems in collaboration with engineers - ensuring models are scalable, efficient, and well-monitored in a real-world setting.
- Optimize model inference and troubleshoot issues such as model drift or data pipeline bottlenecks.
- Provide technical leadership and mentorship to the NLP/ML team.
- Review code and research, uphold best practices in ML (version control, reproducibility, documentation), and foster a culture of continuous learning and innovation.
- Collaborate cross-functionally with product managers, software engineers, and MLOps engineers to align NLP solutions with product goals and infrastructure capabilities.
- Communicate complex data science concepts to stakeholders and incorporate their feedback into model development.

The company offers:
- Competitive salary.
- Equity options in a fast-growing AI company.
- Remote-friendly work culture.
- Opportunity to shape a product at the intersection of AI and human productivity.
- Work with a passionate, senior team building cutting-edge tech for real-world business use.

About MEGAVAST
MEGAVAST is an innovative IT company developing advanced software and code development tools that automate key stages of programming and project management. We are looking for a Stock market analyst in Kyiv — a proactive professional who will manage our investment portfolio, analyze market dynamics, and contribute to the company's financial growth.

About the Role
In this role, you’ll be responsible for monitoring global financial markets and executing investment strategies to optimize our portfolio's performance. You will combine deep analytical skills with a proactive approach to drive key investment decisions.

Key Responsibilities:

• Analysis of stock markets trends and news.
• Execution of purchase and sale transactions on the stock market.
• Optimization of trading strategies.
• Preparation of detailed analytical reports and presentations on market performance.
• Collaboration with the finance team to align trading activities with company goals.

Requirements:

• 1+ year of experience as a Stock market analyst or in a similar role.
• Knowledge of trading platforms.
• Strong understanding of financial models and valuation techniques.
• An analytical mindset and the ability to work with data.
• Proactive approach, high integrity, and accountability for results.
• Strong Intermediate English or higher.

What We Offer:

• Hybrid work format.
• Modern office in the centre of Kyiv, right next to the Olimpiyska metro station.
• Career growth opportunities.
• Competitive salary with guaranteed annual reviews and performance bonuses.
• Paid vacation, sick leave..
• Necessary equipment and tools for effective work.
• Friendly, result-driven team and regular corporate events.
   

Join MEGAVAST and take on a dynamic role that blends coordination, communication, and analytics — helping drive the success of an international IT company.

We need an AI Engineer who can work autonomously on complex agentic AI systems while contributing to our growing AI practice. You’ll work directly on client projects involving LLM agents, RAG systems, and AI model integration - not just building prototypes, but production systems that scale.
 

This isn’t a research role. This is hands-on engineering: building, deploying, iterating, and supporting AI applications that solve real business problems.
 

What You’ll Actually Do

Core Responsibilities (70% of time)

• Build agentic AI systems using LangChain, LangGraph, or similar frameworks
• Implement and optimize RAG pipelines with vector databases (PGVector, Pinecone, etc.)
• Integrate multiple LLM providers (OpenAI, Google Gemini, Anthropic Claude)
• Fine-tune models when off-the-shelf solutions don’t meet requirements
• Develop Python backends (FastAPI/Flask) that power AI applications
• Write production-quality code with tests, documentation, and proper error handling

Technical Ownership (20% of time)

• Design AI system architectures for new client projects
• Make build/buy decisions on AI tooling and infrastructure
• Conduct technical discovery with clients to understand requirements
• Estimate project complexity and technical feasibility

Team Collaboration (10% of time)

• Code reviews for junior AI engineers
• Knowledge sharing on AI patterns and best practices
• Client communication on technical approaches and trade-offs

Our Current Tech Stack 

AI/ML:

• LangChain, LangGraph for agentic systems
• OpenAI GPT-4, Google Gemini, Anthropic Claude
• PGVector for embeddings and retrieval
• Fine-tuning pipelines (OpenAI, Gemini)

Backend:

• Python 3.11+ (FastAPI primary, Flask acceptable)
• PostgreSQL with PGVector extension
• Google Cloud Run, Cloud Functions

Infrastructure:

• Google Cloud Platform (BigQuery, Cloud SQL, Cloud Run, Vertex AI)
• Firebase/Supabase for user management
• Docker for containerization

Frontend Integration:

• REST APIs consumed by React/TypeScript frontends
• Real-time capabilities (WebSockets, Server-Sent Events)

Development:

• Git/GitHub for version control
• Linear for project management
• Bolt.new for rapid prototyping (you won’t use this much)

Must-Have Skills
 

Technical Requirements

• 4+ years of professional Python development - You’ve built production systems, not just scripts. You understand design patterns, testing strategies, and code that scales.
• 2+ years building production AI/LLM applications - Real systems serving real users, not just experiments or prototypes. You’ve handled model deployment, monitoring, and iteration based on production feedback.
• Expert-level Python engineering - You write clean, maintainable, testable code. You can explain the difference between "staticmethod" and "classmethod" and actually care about it. You’ve debugged memory leaks, optimized performance bottlenecks, and know when to use async/await.
• Deep LangChain/LangGraph experience - You’ve built multi-agent systems with complex orchestration. You understand the framework’s internals well enough to work around its limitations. You’ve debugged agent loops, optimized token usage, and handled error states gracefully.
• RAG implementation expertise - You’ve built RAG systems that actually work in production. You understand chunking strategies, embedding models, hybrid search, re-ranking, and when RAG isn’t the right solution. You’ve tuned retrieval quality beyond the tutorial examples.
• Vector database expertise - PGVector, Pinecone, Weaviate, or equivalent. You’ve designed schemas, optimized queries, and handled millions of embeddings. You understand the trade-offs between different distance metrics.
• Production LLM integration - OpenAI, Anthropic, Google Gemini in real applications. You’ve handled rate limiting, cost optimization, prompt engineering, context management, and fallback strategies. You know how to debug hallucinations and improve consistency.
• Backend API development - FastAPI or Flask in production. You’ve designed RESTful APIs, handled authentication, managed database connections, implemented error handling, and written API documentation. You understand HTTP status codes and when to use which one.
• SQL and database design - PostgreSQL specifically. You write efficient queries, design normalized schemas, use indexes appropriately, and understand when to denormalize. You’ve debugged slow queries and optimized database performance.

Working Style Requirements

• Self-managed QA mindset - You write unit tests, integration tests, and think about edge cases before they become production bugs. You don’t need a QA engineer to tell you something doesn’t work.
• Pragmatic problem-solver - You prefer “simplest thing that works” over perfect solutions. You know when to refactor and when to ship. You understand technical debt is a tool, not a failure.
• Comfortable with ambiguity - Client requirements evolve mid-project. You adapt architecture without rebuilding from scratch. You ask clarifying questions but don’t wait for perfect specifications before starting.
• Strong technical communicator - You explain technical trade-offs to non-technical stakeholders. You write clear documentation. You give useful code review feedback. You can justify your architectural decisions.
• European timezone - Core hours overlap with UK (GMT/BST). You’re available for morning standups and client calls during UK business hours.

For our client, we are looking for an experienced PHP Developer who has worked with Laravel.

Must-Have: 

• 4+ years of experience with PHP. 
• Experience with PHP 8.1+ and Laravel 11+ 
• Understanding of OOP and SOLID principles 
• Experience with PostgreSQL, Redis. 
• Experience writing automated tests. 
• Good knowledge of Docker, Git, GNU/Linux. 
• Upper-Intermediate level of English. 

Nice-to-Have:

• Experience with AWS, RabbitMQ, Elasticsearch, MongoDB, and LLM. 

Our client promoting two products the online casino is currently seeking a Data Analyst.

Responsibilities:
• Performing ad-hoc research requests from stakeholders.
• Conducting product experiments. Making forecasts.
• Analyze ad-hoc requests and tasks.
• Automate routine queries and share data with other team members.
• Share user insights with different teams (marketing, retention, SEO, product, development).
• Apply new approaches to data visualization, data-driven storytelling, and share successes and failures with the analytics team.
• Take part in improving data infrastructure.

Qualifications:
• A minimum of 2+ years of experience as a Product/Data Analyst, relevant experience in data analytics with a focus on product metrics.
• Monitoring and analyzing key product and payment funnel metrics
• Working with user segments (incl. high-value customers)
• Identifying anomalies in KPIs and finding their root causes
• Generating hypotheses and uncovering growth opportunities
• Supporting the development of our BI infrastructure (database + dashboards)
• Contributing to business planning and modeling
• Knowledge in mathematical statistics and probability theory AB testing experience
• Advanced level of SQL.
• Advanced experience using Looker Studio, Power BI, Tableau, etc.
• Python.
• High level of communication skills.
• High level of self-organization, discipline, strategy, and result orientation.

Nice to have:
• Machine learning and other AI experience
• Experience with mobile games or gambling
• Experience in implementing a product metrics system or part of it.
• Amplitude, MixPanel.
• Participation in the creation of an analytical data warehouse.
 

Due to the launch of a new project, we are looking for a Strong Junior / Middle Automation QA Engineer (JS) with 1+ years of experience to join our technical team and ensure stable product quality.

Responsibilities:

• Develop and maintain automated tests to ensure product stability;
• Create and execute test cases, covering critical areas with API/UI automation;
• Support and enhance the existing test automation framework based on new requirements;
• Work closely with developers and manual QA engineers to improve product quality.

Required Skills:

• 1+ years of experience with JavaScript/TypeScript and Playwright in test automation;
• Understanding of QA methodologies, tools, and processes;
• Basic programming skills and familiarity with OOP principles;
• Hands-on experience in automation testing;
• English (Intermediate+ level, written and spoken).

Nice to Have:

• Experience with Linux, Docker;
• Knowledge of CI/CD processes;
• Experience working with SQL;
• Ability to integrate API calls with UI tests.

What We Offer:

• Work with experienced colleagues who are ready to share their knowledge;
• Opportunities for professional development and career growth;
• Involvement in various projects covering different areas of software development;
• Free English courses and daily language practice with colleagues;
• Paid vacation and sick leave.

We have grown from an original team of brand planners, and we focus on developing brand and user experiences across the digital landscape. We come to work to mix curiosity and technology to deliver informed commercial results and positive digital experiences. 

ProCoders is outstaffing, so all projects are different. 

We are looking for a Full Stack Developer with strong experience in Node.js and front-end frameworks (React/Vue). The ideal candidate is adaptable, collaborative, and brings both excellent technical and interpersonal skills to the team. 

Key Responsibilities 

• Develop and maintain applications using Node.js and modern front-end frameworks. 
• Be flexible and ready to switch between React or Vue as needed. 
• Collaborate closely with team members, contributing to a positive and results-driven work environment. 
• Actively leverage AI tools for coding (Cursor, Claude, Codex, etc.) to increase productivity and efficiency. 
• Understand and apply vibe-coding concepts, with hands-on experience using platforms such as Lovable, Bolt, or Cursor. 
• Stay updated on emerging AI-driven coding practices and adopt them where relevant. 

Requirements 

• Proven experience as a Full-Stack Developer with Node.js and at least one modern front-end framework (React, Vue). 
• Excellent soft skills – strong communication, teamwork, and adaptability (we value personality fit and collaboration). 
• Active usage of AI coding tools with ability to share token/limit usage during the interview. 
• Familiarity with vibe-coding tools and willingness to work with them in future projects. 
• Positive, open-minded attitude toward new technologies. 

What do we offer? 

• Remote work, at ProCoders, the result is all we care about, work from bed, the beach, or anywhere else you want. 
• Flexibility, we do not impose a strict schedule or mandatory attendance, you allocate your time taking into account your tasks on the project and at the company. 
• Stability, our employees work for ProCoders not for a project, so we continue to cooperate and offer new projects if the current one ends 
• Diversity, we welcome all people with diverse interests and hobbies. At ProCoders your colleagues will be musicians, artists, athletes, collectors, brave and unusual people. 
• PTO (14 days) and sick leave (7 days) are provided after 6 months since start working. 

Customer: US company (electrical equipment, hardware and software)

Responsibilities: 

• Evaluate capabilities of existing System on Modules/Single Board Computers currently in production for current design vs a new/different one.
• Modify an existing and/or create a BSP using Yocto and successfully bring up prototype control boards, working closely with Hardware Engineers.
• Contribute to development of a manufacturing test application to bring-up and test control board using Qt/QML.
• Ability to contribute to Qt/QML application development as time allows
• Implement/develop/test a cybersecure system update capability in accordance with product cybersecurity requirements

Skills

• Experience with developing custom BSPs in an Embedded Linux environment with Yocto.
• Hardware prototyping/bringup and troubleshooting (logic analyzers/oscilloscopes)
• The candidate has several completed projects (begin to end) in their work experience
• Hardware (System on Module/SBC) selection
• System Update methods (Mender) experience preferred
• Test Driven Development mindset (dependency injection)
• Qt/QML/C++ experience a plus
• Cybersecurity experience a plus

Customer: US company (electrical equipment, hardware and software)

Responsibilities

• Design/Develop a new cable fault locating application using Qt/QML/C++ for an embedded Linux target and an accompanying PC demo target to be used for sales team.

Skills

• Intermediate/Expert in Qt/QML programming in an embedded Linux/PC environment
• Intermediate/Expert with SQLite databases
• Has several completed projects in work experience
• Proven strong application design/architectural skills (low coupling, high cohesion, MVC)
• Experience/Familiarity with Unit Testing (qtest, gtest, etc)
• Cybersecurity/Secure coding practices a plus

Customer: US company (electrical equipment, hardware and software)

Responsibilities

• Ability to port/maintain/improve existing firmware application (embedded C) for control/measurement board in a cable fault locating product
• Ability to port/improve existing FPGA application for use in pulse board in a cable fault locating product
• Troubleshoot/bring-up firmware on new pulse board
• Implement/develop/test a cybersecure bootloader in accordance with product cybersecurity requirements

Skills

• Expert in embedded C programming
• Proven experience designing writing multitasked soft real-time embedded C firmware
• Experience with HW protocols (I2C, SPI, UART, etc)
• Has several completed projects (begin to end) in work experience.
• Strong application design/architecture skills for new firmware (embedded C) codebases
• Expertise with digital logic and VHDL
• Experience/Familiarity with Embedded Unit Testing (gtest/cpputest/ceedling)
• Cybersecurity/Secure coding practices a plus
• RTOS Experience a plus

Innovation Systems is the leading all-in-one business management platform servicing clients in the green industry such as landscaping, tree care, lawn care and more, across the globe. Our innovative, cloud-based software integrates everything from CRM and scheduling to GPS tracking and business analytics, ensuring seamless workflow and exceptional customer satisfaction. With a dynamic and fast-growing team of 80+ professionals, ArboStar is committed to delivering exceptional products and services that help our clients succeed.
 

Why Innovation Systems? At Innovation Systems, we foster a dynamic and supportive work environment where creativity, collaboration, and dedication to excellence are valued. Join our team and help revolutionize the green industry with innovative technology and outstanding service.
 

As part of our Customer Success team, you’ll play a vital role in ensuring our clients get full value from Innovation Systems from onboarding and adoption to expansion and renewal.
 

Key Responsibilities:

• Own the client relationship post-sale, guiding SMB and VIP customers through training and ongoing success
• Proactively manage a portfolio of customer accounts, ensuring strong adoption, health, and retention
• Lead day-to-day communication with clients via email, phone calls, and our ticketing system to ensure timely responses and proactive support
• Conduct quarterly business reviews (QBRs) with key accounts to highlight ROI, identify opportunities, and gather feedback
• Partner with Sales and Product to drive upsell/cross-sell opportunities and capture client insights
• Monitor customer health scores, usage trends, and support activity to detect early signs of risk or growth potential
• Coordinate with Support and Product teams to resolve escalations and advocate for client needs
• Maintain accurate records of account activity, notes, and tasks in the CRM (Pipedrive, PandaDoc, Google sheets)
   

Requirements:

• 2+ years in Customer Success, Account Management, Sales or a client-facing SaaS role (experience with SMBs is a plus)
• Strong understanding of customer lifecycle, onboarding, and retention best practices
• Exceptional communication and relationship-building skills
• Comfortable managing multiple accounts (100+) with varying levels of complexity
• Experience with tools like Pipedrive, Salesforce, Zendesk or similar CRM/CX platforms
• Problem-solving mindset and a passion for delivering value to customers
• Ability to explain software features in a clear, engaging, and practical way
   
• Advanced English proficiency (C1 level or higher) — both written and spoken — is required for effective client communication
• Knowledge of SaaS metrics (NRR, churn, adoption, NPS, etc.)
   

What We Offer:

• Only remote work
• Work schedule: 16:00 — 00:00 (Ukrainian Timezone)
• Paid vacation (10 days);
• An opportunity to significantly influence the direction of the company;
• Steep learning curve and personal growth opportunities;
• Access to courses and training;
• Corporate English language training;
• Competitive salary.

Вимоги до володіння мовами

English

C1 – Просунутий

BrainRocket is a software development company and digital solutions provider. The company has created over 40 cutting-edge products spanning 20 different markets. Our team of around 670 tech-savvy professionals successfully delivers scalable projects that are custom-made to the customers’ needs. We also strive to create a culture centered around personal and professional growth for employees, in a positive and welcoming environment.

We're looking for Senior Automation QA Engineer  to join our team. 

✅ Responsibilities:
✔️ Develop and maintain automated test scripts;
✔️ Create test strategies, execute test runs, and prepare detailed test reports;
✔️ Conduct regression, smoke, and performance testing;
✔️ Collaborate closely with developers to ensure fast and accurate bug resolution;
✔️ Continuously improve and expand the automation test framework;
✔️ Take part in building innovative, scalable, and reliable automation solutions;

✅ Requirements:
✔️ 3+/5+ years of experience in automation QA;
✔️ Strong hands-on experience with Python;
✔️ Experience in requirements testing, REST API testing, data validation, and end-to-end testing;
✔️ Solid knowledge of SQL;
✔️ Practical experience with Jenkins and Docker;
✔️ Strong understanding of object-oriented programming (OOP) concepts;
✔️ Experience with Git version control;

✔️ Experience with Selenium/Playwright;
✔️ Excellent communication skills and ability to collaborate with both local and remote teams;
✔️ English: Intermediate level or higher (spoken and written).

✅ Nice to have:

✔️ Experience with GraphQL;
✔️ Background in billing systems testing;
✔️ Experience testing mobile applications.

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

🚀 Career growth opportunities in an international and dynamic environment;

📚 Opportunity to develop language skills with partial compensation for language courses;

🎁 Special gifts for birthdays, weddings, and newborns;

🏝️ 26 working days of paid annual vacation, plus paid sick leaves;

🍲 Office snacks and refreshments;

🏋️‍♂️ Sports package to support a healthy lifestyle;

🩺 Comprehensive medical insurance for you and your partner;

📍 Comfortable office with great facilities in a prime location;

🎉 Exciting corporate events, team-building activities, and international company parties.

Come Back Agency is a company that has gathered the best specialists in the Digital field.

The company is growing, the number of customers is growing, we are expanding, and we are looking for a new team member.

Now we are looking for a passionate and ambitious Project Manager who can form an effect.

Requirements:

•  Fluent in spoken English (work with US customers);
• Experience from 0,5 year in a relevant position;
• Be flexible with the US schedule. Working hours from 04:00 pm to 00:00 am EET;
• Ability to prioritize tasks for the team and coordinate multiple projects in a changing environment.

Responsibilities:

• Full cycle of project management: from participation in pre-sales preparation to the stage of successful implementation/support of the project;
• Develop your department - create a dream team, train your colleagues, and become a real mentor for many years to come;
• Prepares a daily, weekly, and monthly plan;
• Work with technical documentation;
• Provide reporting on the progress of tasks and the project;
• Tracking workload, deadlines, and progress on each project’s tasks.

We offer:

• Fixed salary in USD;
• The adaptation period is negotiated individually with the candidate;
• An interesting project in an international company;
• Loyal leadership, lack of bureaucracy;
• English lessons to sharpen your skills even further;
• Paid vacation and sick days - we believe in work-life balance.