Jobs at Djinni

Junior Motion Designer 
 

We’re looking for a junior designer or someone with some hands-on experience. If you’re keen to grow in motion design and ready to learn, we’ll help you develop the skills you need for the role.

We’re also open to considering a more experienced, skilled specialist on a part-time basis.
 

What you’ll do:
— Create advertising creatives for gambling projects, from the initial idea to the final render;
— Work with footage, editing, and different visual materials;
— Find and select assets for creatives;
— Explore AI tools and develop your skills in using them.
 

What we’re looking for:
— Basic knowledge of Adobe After Effects and Photoshop;
— Willingness to learn, grow, and take feedback on board;
— Responsibility, initiative, and the ability to meet deadlines;
— A collaborative approach;
— A portfolio or examples of your work would be an advantage.
 

Experience in gambling and familiarity with AI tools are welcome but not required — we’re ready to teach you what you need to know.

We're looking for a Creative Strategist for a Paris-based, pre-seed (€5M funded) venture that builds creator-led Health & Fitness apps. The studio partners with fitness experts who bring the audience, while the company handles product, tech and growth.

You will work directly with these coaches to build their marketing strategies, define their voice and create content that drives app adoption. We want someone bold, resilient and fast-shipping, who can turn niche fitness expertise into scroll-stopping stories.

Key details

• Employment: Full-time
• Seniority: Mid-Senior
• Location: Lithuania (remote) · France (remote) · Spain (remote) · United Kingdom (remote) · Poland (remote) · Ukraine (remote)
• Location: remote but travels to Paris on a monthly basis are required

What you'll do

• Build marketing and content strategies together with fitness coaches and creators
• Define each coach's voice, positioning and storytelling
• Take ideas from concept to finished ad: scripts, briefs, collaboration with editors, creators and UA managers
• Produce organic and paid short-form content for TikTok, Instagram and YouTube
• Evaluate creative performance (hook rate, CTR, CPI, ROAS) and decide what to scale and what to kill
• Track platform trends and turn them into content quickly

Requirements

• 3–6+ years in social media marketing as a Creative Strategist
• Proven experience working directly with creators, influencers or coaches
• Hands-on experience producing organic and paid content for Instagram, TikTok and short-form video
• Willingness to be based in or travel to Paris

Nice to have

• Experience in the fitness, wellness or sports industry

Dataforest is looking for a growth-oriented Data Engineer to join our friendly team. As a Data Engineer, you will solve engaging problems using cutting-edge technologies for data collection, processing, analysis, and monitoring.

If you aren't afraid of challenges, this position is just for you!

You'll be a great fit if you have:

- 1+ years of experience as a Data Engineer;
- Strong experience with Python;
- Proven experience with Databricks and Datafactory;
- Experience with AWS/Azure;
- Experience building ETL / ELT pipelines;
- Proficiency in SQL.

What you'll do:

- Developing ETL/ELT pipelines and data management solutions;
- Implementing data processing algorithms;
- Writing and optimizing SQL queries for data extraction and analysis;
- Analyzing data and applying processing algorithms to solve business problems.

We ensure your growth with:

- Working with a high-skilled engineering team on engaging and complex projects;
- Hands-on experience with the latest technologies;
- Direct communication with international clients and challenging tasks;
- Opportunities for personal and professional growth;
- Competitive salary pegged to USD;
- Paid vacation and sick leave;
- Flexible working hours;
- Friendly working atmosphere with zero bureaucracy;
- Plenty of team traditions — corporate parties, team buildings, themed events, and much more!

Join the Dataforest Team!

We are actively expanding our team and looking for strong new talent to join our ranks. If you are a Data Engineer seeking a friendly team, a healthy working environment, and a flexible schedule — you have found the right place to send your CV!

You'll be a great fit if you have:

- 2+ years of experience with Python;
- 2+ years of experience as a Data Engineer;
- Experience with Pandas;
- Experience with SQL DB / NoSQL (Redis, Mongo, Elasticsearch) / BigQuery;
- Familiarity with Amazon Web Services;
- Experience with Kafka;
- Knowledge of data algorithms and data structures is a MUST;
- Working with high volume tables 10m+.

What you'll do:

- Create ETL pipelines and data management solutions (API, Integration logic);
- Different data processing algorithms;
- Involvement in creation of forecasting, recommendation, and classification models.

Would be a plus:

- Experience with Spark (pyspark);
- Experience with Airflow;
- Experience in statistics;
- Knowledge of DS and Machine learning algorithms.

We ensure your growth with:

- Great networking opportunities with international clients, challenging tasks;
- Building interesting projects from scratch using new technologies;
- Personal and professional development opportunities;
- Competitive salary fixed in USD;
- Paid vacation and sick leaves;
- Flexible work schedule;
- Friendly working environment with minimal hierarchy;
- Team building activities, corporate events.

Dataforest are looking for a highly experienced Team Lead Data Science with a strong engineering and managerial background (10+ years in the domain). In this role, you will lead and scale our AI/Data Science practice, establish robust development processes, drive pre-sales and R&D activities, and effectively manage an engineering team of 8–10+ members.
 

 What you’ll do:

• Team Leadership & Management: Lead and grow the Data Science department (8–10+ people), perform 1-on-1s, technical assessments, and performance reviews.
• Architecture & Strategy: Define the AI/DS architecture and tech strategy, establish high-quality coding standards, and oversee code reviews.
• Business & Pre-sales: Collaborate closely with C-level executives (CEO/CTO) to shape development processes, lead pre-sale activities, and estimate complex AI projects for international clients.
• R&D & Solution Delivery: Drive complex AI projects from concept to production (High-Load systems, LLM/RAG solutions) and conduct R&D with cutting-edge technologies.
   

 You'll be a great fit if you have:

• 10+ years of total experience in Data Science, Machine Learning, Data Engineering, and Software Engineering.
• Management Experience: Proven track record of leading teams of 8+ engineers (Data Scientists, ML Engineers).
• AI & LLM Expertise: Deep practical knowledge of the modern AI stack: LLM, RAG, LangChain, LangGraph, and AI Agents.
• Core Tech Stack:
  • Mastery of Python, algorithms, and data structures.
  • Proven experience in building scalable ML/DS architectures and high-load production systems.
  • Solid understanding of MLOps, Docker, Kubernetes, and CI/CD pipelines.
• Business Analysis & Pre-sales: Demonstrated capability in project estimation, client communication, and translating complex business requirements into technical solutions.
• English: Upper-Intermediate (B2+) or higher for fluent communication with international clients.

We ensure your growth with:

• Great networking opportunities with international clients and challenging tasks;

• Building interesting projects from scratch using new technologies;

• Personal and professional development opportunities;

• Competitive salary fixed in USD;

• Paid vacation and sick leave;

• Flexible work schedule;

• Friendly working environment with minimal hierarchy;

• Team-building activities and corporate events.

Greetings! We are looking for a systematic and experienced professional for

the position of Data Analyst for our company.

🧲 Magnetics is a digital company that develops and scales its own online products across competitive and fast-paced markets. Founded in 2014, we rely on data, bold hypotheses, and user experience to grow efficiently.

Requirements:
 

• 3+ years of work experience in the Data analyst, BI analyst, Product analyst or other similar analytics position
• Economic, math or technical education
• Proficient knowledge of BigQuery
• Strong experience with Tableau
• Ability to identify root causes of data anomalies and ability to test data
• Ability to work autonomously and keep the focus on the result
• Ability and readiness to learn fast

Will be a plus

• Experience with GCP services

How you'll be contributing:

• Supporting and Development BI reporting system (ETLs, DWH, BI, reporting andmonitoring from a scratch)
• Testing and validation of data after planned BI releases
• Analyzing the needs of the marketing and product teams in analytics and their implementation
• Search and selection of the best technical solutions adapted to current and future needs of teams
• Ad-hoc product analytics tasks and researches
• Monitoring and analyzing key product and payment funnel metrics

• Generating hypotheses and uncovering growth opportunities

   

Benefits of working with us:

🧲Office in Kyiv or Remote

🧲We cover 50% of the cost for individual courses, training, and language programs

🧲We cover 100% of the cost for team courses

🧲Free consultations with our lawyers and an additional 50% discount on any type of legal services.

🧲Health insurance

🧲Flexible schedule

🧲Regular salary reviews

🧲Team buildings in Ukraine

Ready to build analytics that drive real product decisions? Join Magnetics and let's grow together. Send us your CV!

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. The front end is a set of TypeScript/React apps running in a desktop container and streaming real-time data.
We're hiring a hands-on SDET to own UI test automation: extend our Playwright framework, make streaming, multi-window workflows testable, and add quality gates to CI, including front-end performance. You'll co-architect and co-own a unified testing framework with our backend SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

• Co-architect and co-own, with our backend SDET, a unified testing framework that covers every area we test:
◦ Shared foundations: fixtures, test data, configuration, environments and reporting are shared across UI, API, Kafka, database and performance suites.
◦ Cross-layer scenarios: one scenario can cross layers. For example, a test places an order in the UI, then checks the resulting event and the database record.
◦ One quality view: results from every suite feed a single view of release quality.
• Design, build and maintain end-to-end and component tests with Playwright and TypeScript for trading and analytics workflows.
• Extend our shared test toolkit: page objects, fixtures, and mocks of desktop-container APIs.
• Build front-end harnesses for real-time data: mocked WebSocket and REST responses, controlled test data, and deterministic replay of streaming updates.
• Cover UI failure modes: disconnects and reconnects, expired sessions, permission failures, bursty feeds, and stale data.
• Own front-end performance testing:
◦ Startup and responsiveness: measure app startup and time-to-first-data, and check that the UI stays responsive under high update rates.
◦ Grid behaviour at scale: measure render and scroll performance of grids with tens of thousands of rows.
◦ Container resources: track memory growth and leaks in long-running desktop sessions, and CPU cost per window.
◦ Regression gates: turn the results into budgets that fail CI on a regression.
• Build and maintain isolated, on-demand test environments on Linux and AWS:
◦ Lifecycle: environments are created per branch or per run, start with seeded data and known state, and are torn down automatically.
◦ Isolation: test runs don't interfere with each other or with shared environments.
• Validate front-end/back-end contracts and payload schemas.
• Run UI suites in CI/CD: sharded parallel runs, scheduled regressions, and reporting on pull requests.
• Make failures diagnosable: Playwright traces, screenshots and video, and correlation with telemetry.
• Work with UI engineers, business analysts and traders to automate critical workflows and define QA acceptance criteria.
• Use AI-assisted tools where they help with writing, maintaining and triaging tests.

Mandatory Skills Description:

• 5+ years of UI test automation, including designing or significantly extending a framework.
• Strong TypeScript/JavaScript and Node.js skills, with substantial hands-on Playwright experience. Strong Cypress or Selenium experience plus willingness to move to Playwright is also fine.
• Working Python skills (pytest, Playwright for Python): test tooling, data setup, backend checks inside UI scenarios, and contributing to the shared framework.
• Experience testing React apps with complex data grids (AG Grid or similar), dynamic forms and heavy client-side state.
• Experience mocking network traffic in the browser (REST and WebSocket) and testing authentication flows.
• Front-end performance testing experience:
◦ Profiling: Chrome DevTools Performance and Memory panels, and the Lighthouse and performance APIs.
◦ Diagnosis: finding long tasks, layout thrashing and memory leaks.
◦ Budgets: setting performance budgets and enforcing them in CI.
• CI/CD experience with Azure DevOps (preferred) or Jenkins/GitHub Actions, and Git.
• Experience building isolated test environments:
◦ Linux: comfortable on the command line, with shell scripting, processes, networking and log troubleshooting.
◦ Docker: Docker and Docker Compose.
◦ AWS: EC2, ECS or EKS, S3, IAM, VPC and CloudWatch.
◦ Infrastructure as code: Terraform, CloudFormation or CDK.
• Strong reliability habits: isolated tests, deterministic waits instead of sleeps, controlled retries, and triage of flaky tests.
• Experience with test reporting and traceability (Playwright reports, Allure, Azure Test Plans, TestRail).
• Clear communication and good documentation.

Nice-to-Have Skills Description:

• Trading or buy-side experience: OMS/EMS, algos, positions, allocations, or risk.
• Java exposure, enough to read service code and contribute to backend suites in the shared framework.
• Desktop container automation: Electron, OpenFin, or similar.
• Component testing (Vitest or Jest). Storybook visual or interaction testing.
• Accessibility and visual-regression testing.
• React Profiler and familiarity with React rendering performance (memoization, virtualization).
• OpenTelemetry or similar real-user-monitoring tools, and using production RUM data to pick performance test scenarios.

Languages:

English: B2 Upper Intermediate

Project Description:

We build an in-house trading platform covering order management, execution, and data analysis. It runs on a distributed, event-driven backend.
We're hiring a hands-on SDET to own backend test automation: service, integration, contract, data, resilience and performance testing across the platform. You'll co-architect and co-own a unified testing framework with our UI SDET. It covers UI, API, messaging, data and performance tests in one place.

Responsibilities:

Co-architect and co-own, with our UI SDET, a unified testing framework that covers every area we test:
◦ Shared foundations: fixtures, test data, configuration, environments and reporting are shared across REST, WebSocket, Kafka, database, performance and UI suites.
◦ Cross-layer scenarios: one scenario can follow a workflow from the UI through services and events to the database.
◦ One quality view: results from every suite feed a single view of release quality.
• Design and build automated service, integration and contract tests for REST APIs, WebSocket services, and Kafka producers and consumers.
• Test event-driven flows end to end: message ordering, idempotency, at-least-once and exactly-once semantics, replays, offset handling, dead-letter queues, and schema evolution (Avro, Protobuf, JSON Schema, Schema Registry).
• Build harnesses with controlled test data and service virtualization so suites run consistently and can be repeated.
• Design and build isolated, on-demand test environments on Linux and AWS:
◦ Lifecycle: full service stacks (services, Kafka, databases) are created per branch or per run, start with seeded data and known state, and are torn down automatically.
◦ Isolation: test runs don't interfere with each other or with shared environments.
◦ Infrastructure: the environments are defined as code, with attention to cost.
• Write data-validation tests across relational and analytical databases. Cover reconciliation and aggregation correctness.
• Cover resilience and failure modes: broker and consumer outages, network partitions, timeouts, throttling, slow consumers and backpressure, reconnects, and authentication failures.
• Own backend performance testing:
◦ Latency and throughput: design and run load, stress, soak and spike tests on services, messaging pipelines, streaming and query APIs.
◦ Baselines and regressions: set baselines and service-level targets (p50/p99 latency, throughput, consumer lag), and catch regressions in CI.
◦ Bottlenecks: profile them down to the CPU, GC, query or network layer.
◦ Database queries: track query performance on analytical stores. Know how query shape and data volume drive response time.
• Own backend test execution in CI/CD: parallel runs, scheduled regressions, environment setup and teardown, and release quality gates.
• Make failures diagnosable: structured logs, distributed traces (OpenTelemetry), correlation IDs across services, and clear reports.
• Work with backend engineers, infrastructure, business analysts and traders to define and automate critical business workflows.
• Use AI-assisted tools where they speed up writing tests and analysing failures.

Mandatory Skills Description:

• 5+ years of backend or service test automation, including framework design.
• Strong Python (pytest, requests, asyncio, confluent-kafka or similar) for test frameworks, tooling and data validation.
• Strong Java (JUnit 5, REST Assured, AssertJ, or similar) for testing JVM services.
• Working TypeScript and Node.js skills: contributing to UI and cross-layer suites in the shared framework, and Node-based tooling (k6 scripts, Playwright API tests).
• Hands-on Kafka experience: producing and consuming in tests, consumer groups, partitions and offsets, serialization and schema registry, and Kafka Streams or Connect.
• Solid networking fundamentals: TCP/IP, HTTP/1.1 and HTTP/2, WebSockets, TLS, DNS, load balancers, latency and packet loss. Able to debug with tcpdump/Wireshark, curl and similar tools.
• Strong SQL and database experience (PostgreSQL, SQL Server, or similar) for test data setup, verification and cleanup. Familiarity with columnar or analytical databases.
• Hands-on performance and load testing:
◦ Tools: k6, Gatling, JMeter or Locust, including Kafka throughput benchmarking.
◦ Profiling: JVM tuning and profiling (GC, JFR, async-profiler) or Python profiling.
◦ Analysis: reading latency distributions and percentiles correctly, including coordinated omission.
• API, authentication and contract testing: OAuth/JWT flows, payload and schema validation, and service virtualization (WireMock, MockServer, Hoverfly).
• Experience building isolated test environments:
◦ Linux: strong command-line skills, with shell scripting, systemd, processes, networking and performance troubleshooting.
◦ Containers: Docker, Docker Compose and Testcontainers.
◦ AWS: EC2, ECS or EKS, S3, IAM, VPC, MSK or RDS, and CloudWatch.
◦ Infrastructure as code: Terraform, CloudFormation or CDK.
• CI/CD with Azure DevOps or Jenkins, and Git.
• Strong reliability habits: isolated tests, controlled retries, failure-mode testing, and triage of flaky tests.
• Clear communication and good documentation.

Nice-to-Have Skills Description:

• Trading or buy-side experience: OMS/EMS, the FIX protocol, market data, positions, allocations, or risk.
• kdb+/q, or other time-series databases used for tick data.
• Contract testing with Pact. Property-based testing (jqwik, Hypothesis).
• Kubernetes and Helm.
• Chaos and fault-injection tools (Toxiproxy, Chaos Mesh).
• Observability tools: OpenTelemetry, Grafana, Prometheus.
• Experience with large-scale distributed systems.

Languages:

English: B2 Upper Intermediate

As a VIP Customer Support Specialist, you will be responsible for managing and nurturing relationships with our high-value clients. Your goal will be to ensure a premium customer experience by providing personalized, efficient, and solution-driven support. You will work closely with internal teams to address client needs, resolve issues, and contribute to the growth of our VIP program.
Key Responsibilities

• Serve as the primary point of contact for VIP customers, offering personalized support via email, chat, and phone.
• Proactively manage and enhance the overall VIP experience by understanding customer preferences, behaviors, and needs.
• Resolve inquiries and issues in a timely and professional manner, ensuring high levels of satisfaction.
• Collaborate with cross-functional teams (Marketing, Product, Payments, etc.) to address client concerns and provide tailored solutions.
• Monitor and analyze VIP activity to identify opportunities for increased engagement and retention.
• Maintain up-to-date knowledge of company products, promotions, and industry trends.
• Assist in the organization and execution of exclusive events and promotions for VIP clients.
• Provide feedback to improve processes, products, and customer experience.

Qualifications

• Experience: Minimum 2+ years in customer support, account management, or a related role, preferably in the iGaming industry.
• Language Skills: Fluent in English (additional languages are a plus).
• Skills:
  • Strong communication and interpersonal abilities.
  • Problem-solving mindset with attention to detail.
  • Ability to work independently while contributing to a team environment.
  • Proficiency in CRM tools and support systems.

About the Position

We’re growing fast and looking for a Senior Backend Engineer to join our Engineering team and help build the infrastructure that powers our platform at scale.

This is a high-impact role where you’ll work alongside top-tier engineers, designing and building secure, high-performance systems in a fast-paced environment. If you enjoy solving complex technical challenges and want your work to have real impact — we’d love to meet you.

What We’re Looking For

• Bachelor’s degree in Computer Science or a related field
• 5+ years of experience in backend development
• Strong experience building scalable, production-grade systems
• Proficiency in Node.js
• Experience with SQL and NoSQL databases
• Familiarity with cloud platforms and microservices architecture
• Strong problem-solving skills and attention to detail
• Passion for writing clean, maintainable, and efficient code

Bonus Points For

• Experience in cybersecurity or building security-focused products
• Experience working in startup or high-growth environments
• Familiarity with DevSecOps / SDLC tools
• Experience with distributed systems and high-scale data processing

We are looking for a hands-on Project Manager  who can bridge business needs, user requirements, product strategy, and technical execution.

This role is ideal for someone who enjoys working in a fast-moving startup environment, can quickly understand complex systems and APIs, translate ideas into clear product specifications, and use modern AI tools to accelerate product discovery, prototyping, documentation, and delivery.

The ideal candidate is highly adaptable, technically curious, detail-oriented, and comfortable owning work end-to-end — from gathering requirements and analyzing systems to creating prototypes, supporting development, preparing user documentation, and enabling go-to-market adoption.

Key Responsibilities

1. Product Discovery & Requirements Gathering

• Work closely with customers, stakeholders, business teams, and internal users to understand business needs and pain points.
• Gather, analyze, and document business and functional requirements.
• Convert business requirements into clear, actionable product requirements for engineering and design teams.
• Identify gaps, dependencies, edge cases, assumptions, and potential risks.
• Facilitate requirement discussions and drive alignment between business and technical stakeholders.
• Continuously refine requirements based on feedback, changing priorities, and new information.

2. Product Specifications & Documentation

• Create detailed product specifications, functional specifications, user stories, acceptance criteria, workflows, and feature descriptions.
• Clearly define expected system behavior, business rules, validations, user journeys, and edge cases.
• Maintain accurate and up-to-date product documentation throughout the development lifecycle.
• Ensure requirements are sufficiently detailed for engineering teams to implement without ambiguity.

3. AI-Assisted Prototyping

• Create rapid product prototypes and proof-of-concepts using Claude and other AI-powered tools.
• Use AI tools to transform requirements and concepts into interactive prototypes, workflows, UI concepts, and functional demonstrations.
• Experiment with different AI tools to accelerate product discovery, analysis, documentation, and delivery.
• Continuously explore new AI capabilities and identify opportunities to improve product development processes.

4. System & Technical Analysis

• Perform system analysis to understand existing architecture, workflows, integrations, dependencies, and limitations.
• Analyze existing features and systems to identify improvement opportunities.
• Understand how new features will interact with existing functionality.
• Work closely with developers and technical teams to clarify implementation approaches and resolve functional ambiguities.
• Analyze data flows, business processes, system dependencies, and integration points.

5. API & Integration Analysis

• Review and analyze API documentation, including endpoints, request/response structures, authentication, parameters, error handling, and integration requirements.
• Understand how internal and third-party APIs can support product requirements.
• Identify API limitations, dependencies, and potential integration risks.
• Translate API capabilities into clear product and functional requirements.
• Support engineering teams by providing clear documentation and context around API-related requirements.

6. User Guides & Product Enablement

• Create clear and practical user guides, feature documentation, FAQs, release notes, and internal documentation.
• Translate complex product functionality into easy-to-understand instructions for end users and internal teams.
• Work with support, sales, customer success, and other teams to ensure they understand new functionality.
• Keep documentation aligned with product releases and feature changes.

7. Go-to-Market & Feature Adoption

• Support go-to-market activities for new features and product capabilities.
• Translate product functionality into clear customer-facing value propositions and use cases.
• Work with marketing, sales, customer success, and other teams to support feature launches.
• Help develop feature adoption strategies, onboarding materials, release communications, and enablement content.
• Gather post-launch feedback and identify opportunities to improve adoption and user experience.

8. Agile Product Delivery

• Work closely with engineering, design, QA, and business teams throughout the product lifecycle.
• Participate in sprint planning, refinement, demos, reviews, and other product development activities.
• Clarify requirements during development and help resolve questions quickly.
• Validate completed features against requirements and acceptance criteria.
• Continuously prioritize work based on business value, customer impact, technical dependencies, and company priorities.

Required Skills & Experience

• Experience in Product Management, Business Analysis, Product Analysis, or a similar role.
• Strong ability to gather, analyze, and document business and functional requirements.
• Excellent understanding of software products, web applications, workflows, and system behavior.
• Ability to create detailed product specifications and user stories.
• Strong analytical and problem-solving skills.
• Ability to understand and analyze APIs and technical documentation.
• Experience creating prototypes or proof-of-concepts using modern tools.
• Hands-on experience with AI tools such as Claude, ChatGPT, and other AI-assisted productivity/development tools.
• Strong written and verbal communication skills.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Strong attention to detail without losing sight of the bigger product/business objective.

Startup Mindset

We are looking for someone who thrives in an environment where priorities can change quickly and roles are not rigidly defined.

You should be someone who:

• Adapts quickly to changing business and product requirements.
• Is comfortable working with ambiguity and figuring things out independently.
• Takes ownership rather than waiting for detailed instructions.
• Is willing to be hands-on across product, analysis, documentation, prototyping, and delivery.
• Learns new technologies and tools quickly.
• Is comfortable switching between strategic thinking and detailed execution.
• Can move quickly while maintaining a high standard of quality.
• Enjoys experimenting with AI and emerging technologies.
• Is proactive about identifying problems and proposing solutions.

• Can operate effectively in a dynamic, high-growth startup environment.

   

What Success Looks Like

In this role, you will be successful if you can take a business problem or product idea and independently move it toward execution by:

Understanding the problem → Gathering requirements → Analyzing the system → Defining the solution → Creating AI-assisted prototypes → Writing detailed specifications → Supporting development → Validating the feature → Creating user documentation → Supporting go-to-market → Driving feature adoption.

Ideal Candidate

The ideal candidate is a product thinker with strong business analysis capabilities and enough technical understanding to work comfortably with engineering teams.

You don't need to be a software developer, but you should be technically curious, comfortable reading API documentation and system flows, capable of understanding how software works, and willing to get hands-on with modern AI tools to accelerate your work.

If you enjoy turning ambiguous ideas into well-defined products and are excited about using AI to work faster and smarter, this role is for you.

Who are we looking for?
We are looking for an "independent" specialist, ready to join our team and immediately start working together on our projects.

Tasks?
Your tasks will be based on the skills and expectations listed below, using new approaches and technologies.

Why did the vacancy open?
We want to invite a new specialist to the company's staff due to the increase in the number of projects.

Additionally:
The company has the ability to provide employee reservations in accordance with the current legislation of Ukraine.

Skills:

• English level not lower than Upper-Intermediate B2 (effective written and oral communication);
• Understanding: the API testing process (using Postman, Swagger), the basics of testing theory with practical application. Experience with basic tools for testing both web and mobile applications;
• Understanding of the software development life cycle;
• Understanding of the testing life cycle;
• Working with project documentation (User Story), planning and prioritizing testing;
• Ability to create and maintain test documentation (i.e. checklist, test cases, bug reports, etc.);
• Strong analytical skills;
• Ability to work both independently and in a team;
• Working with design in Figma;
• Problem solving, attention to detail;
• Basic understanding of test automation (JavaScript/TypeScript, Cypress/Playwright).

What do we expect from you?

• Self-organization and independence in work;
• Attention to detail;
• Continuous learning.

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Learn and fulfil your potential in an open, knowledge-driven culture.
• Share in our ambitious vision and make a meaningful difference towards autonomous manufacturing.

Responsibilities:

• Review and analyze system specifications.
• Collaborate with QA Engineers to develop effective strategies and test plans.
• Execute test cases and analyze results.
• Evaluate product code according to specifications.
• Create logs to document testing phases and defects.
• Report bugs and errors to development teams.
• Help troubleshoot issues.

You will be joining a well-versed team if you have:

• Bachelor’s Degree or Master’s Degree in Computer Science, Engineering, Software Engineering or a relevant field.
• Minimum of three years of experience in manual testing complex browser based applications.
• Experience in Scrum Agile.
• Experience in working with EU/US clients.
• Working knowledge of test management software and SQL.
• Attention to detail.
• Analytical mind and problem-solving aptitude.
• Strong organizational skills.

We’re looking for a Casino & Promotions Manager to take full ownership of our casino product and bonus mechanics. In this hybrid role, you will be responsible for the entire player experience — from managing the game catalog and provider relationships to the design, setup, economics, and protection of bonus campaigns.

Your goal is straightforward: make sure players always find the right games, enjoy attractive promotions, and drive GGR, engagement, and retention, all while keeping the business profitable and secure from abuse.

This is a hands-on product role for someone who understands how games and bonuses work in practice. You’ll work with data, manage providers, configure mechanics, and make decisions that players feel every time they open the lobby.

What you’ll be doing
Game Catalog & Lobby Merchandising

• Own the game catalog: add/update titles, maintain accurate metadata (provider, RTP, volatility, tags).
• Build and merchandise the lobby structure (categories, New, Popular, Jackpots) using banners, game positioning, and seasonal collections.
• Plan new game releases and coordinate them with CRM and Design teams.
   

Bonus Setup, Launch & Economics

• Set up bonuses in the in-office back office (welcome packs, free spins, cashback, promo codes) and configure rules (wagering, max win, game contribution).
• Calculate the cost and ROI of each bonus before launch, tracking its share of GGR/NGR and impact on deposits.
• Work with the CRM team to link bonuses to campaigns (e.g., Customer.io) and prepare bonus T&C with Legal and Compliance.
   

Provider Relationships & Network Promos

• Manage relationships with game providers and aggregators: onboarding, exclusive releases, and escalations.
• Run promotional mechanics from game studios (Drops & Wins, tournaments, network jackpots).
• Ensure games meet licensing and geo-restriction requirements.
   

Analytics, Anti-Abuse & Risk Control

• Analyse game, provider, and bonus performance (GGR, turnover, bet count, RTP, wagering completion rate).
• Run A/B tests on lobby layouts, game placements, and promotional offers.
• Monitor and prevent bonus abuse (multi-accounting, hedging, bonus hunting) by building smart rules that protect the business without creating friction for honest players.
   

 What we’re looking for

• 2–3+ years as a Casino Manager, Game Manager, Bonus Manager, or Promo Manager in iGaming.
• Deep understanding of game & bonus mechanics: RTP, volatility, hit rate, jackpots, wagering, sticky vs non-sticky bonuses, and game contributions.
• Market Knowledge: Strong knowledge of key providers (Pragmatic Play, Evolution, Play’n GO, etc.), aggregators (SoftSwiss, Slotegrator, etc.), and standard back-office setups.
• Analytical skills: Experience calculating bonus economics (cost, ROI) and analyzing large data sets. Confident in Excel / Google Sheets; SQL basics are a plus.
• Anti-fraud awareness: Knowledge of the main bonus abuse patterns and how to prevent them.
• High attention to detail — a single configuration mistake can cost real money.
• English Upper-Intermediate or higher.
   

 Nice to have

• Experience in LATAM markets.
• Experience with in-house platforms, CRM tools (Customer.io), and BI tools (Metabase, Tableau, Looker).
• Background in gamification (missions, loyalty programmes) and sportsbook promotions.
• An existing network of contacts at providers and aggregators.
   

 What we offer

• Fully remote with a flexible schedule.
• The chance to shape the casino product and bonus engine from the ground up as we expand across LATAM.
• Direct influence on the product: short decision paths and no bureaucracy.
• Paid vacation and sick days.
• Probation period: 3 months.