GR8 Tech

Account Manager

• Own business and operational support for an assigned client portfolio.
• Develop existing and new clients into long-term partnerships.
• Manage commercial and operational issues to ensure smooth service delivery.
• Support onboarding of newly signed clients.
• Help clients adopt and use GR8 Tech products effectively.
• Analyze client performance and product usage.
• Prepare reports, statistics, and performance summaries.
• Work with clients to optimize ROI across products.
• Present product updates, upgrades, and new functionality.
• Collect client feedback and share it with product and development teams.
• Work with affiliates, customer service, payments, and development teams.
• Upsell and cross-sell products or features and document them in CRM.

Middle Account Manager, Turkish Language

Frontend Engineer

• Architect scalable and maintainable front-end solutions using React, modern JavaScript, and TypeScript.
• Drive the adoption of efficient state management and modular build processes (e.g., Webpack, module federation).
• Design resilient, failure-tolerant systems that account for load, performance, and web security (CORS, CSP, OWASP).
• Ship complex, high-quality code to production in a timely manner to meet crucial business expectations.
• Optimize web pages for maximum speed and scalability by deeply tuning the event loop and rendering steps (style, layout, paint, composite).
• Validate code reliability by building out comprehensive testing infrastructure (Jest, React Testing Library, unit/integration testing).
• Mentor junior developers and elevate team standards through thorough, constructive code reviews.
• Partner with Product Managers, Designers, and Delivery Managers to align technical execution with overarching business goals.
• Unblock the team by debugging deeply rooted technical issues and creating Proof of Concepts (POCs) for new technologies.

Senior Frontend Developer

Data Engineer

• Design and operate batch and streaming data pipelines.
• Architect and evolve data storage layers (lake, analytical, operational).
• Develop scalable data models for analytics, ML, and operational systems.
• Ensure data quality, consistency, and observability across pipelines.
• Implement real-time processing using event-driven architectures.
• Build ingestion and transformation workflows (ETL/ELT).
• Own backfills, reprocessing strategies, and data migrations.
• Implement CI/CD, monitoring, and SLA-driven operational practices.
• Partner with engineers, analysts, and data scientists to design reliable and scalable data solutions.
• Contribute to data platform standards and best practices.

Senior Data Engineer

QA Engineer

• Own and drive quality across frontend, native applications, and backend services.
• Define and evolve the QA strategy, improving automation maturity.
• Ensure high release confidence across multiple product layers.
• Design test architecture, influence engineering practices, mentor QA engineers, and build scalable quality processes in a cross-functional environment.
• Collaborate closely with Engineering, Product, and Project teams to embed quality early in the SDLC.
• Improve production stability by strengthening shift-left practices.
• Lead incident analysis and drive preventive quality improvements.

QA Team Lead

Marketing Operations

• Supervise and manage all payments within the Events and Marketing departments using 1C.
• Ensure accuracy and timeliness in processing invoices and expenses.
• Maintain control over payment execution throughout approval stages.
• Collaborate closely with treasury and budget control departments to ensure seamless financial operations.
• Manage document flow related to billing for organized record-keeping.
• Manage and update a spreadsheet to track the status of payments; provide regular updates on payment statuses to the team members.
• Coordinate with contractors, event organizers, agencies and other external parties for new agreements and contract signings.
• Facilitate effective communication between internal legal and compliance departments, including through Jira, for smooth contract signings with external parties.
• Establish and maintain a document database for contracts and agreements; remind team members of upcoming deadlines and timelines associated with contracts and agreements.
• Collection of necessary KYC documents from external parties.
• Maintain the timeline for budget planning and corrections; send reminders to department management about important deadlines related to budget planning.
• Prepare financial reports detailing departmental expenses.
• Assist in making quarterly budget corrections and participate in budget planning processes.
• Upload relevant financial data into 1C for effective budget management.
• Utilize 1C for financial management and reporting.
• Work proficiently in Excel for data analysis and tracking.

Junior Marketing Operations Coordinator

• Ensure operational support and stable performance of an assigned client portfolio.
• Act as the primary point of contact for clients, coordinating internal teams to address client needs.
• Maintain long-term relationships with existing clients.
• Own operational support for an assigned client portfolio.
• Act as the main escalation point for clients.
• Bridge client needs with internal departments.
• Monitor key performance metrics and report on client performance.
• Document operational procedures and track development request progress.
• Identify areas for automation or efficiency improvements within the client journey.
• Present product updates, upgrades, and new functionality to clients.
• Coordinate development planning and prioritization of client requests.

Operations Account Manager

Artificial Intelligence

• Implement and maintain LLM-based features and services under guidance;
• Build and improve chatbots and conversational AI systems with predictable behavior;
• Contribute to AI-assisted and AI-automated workflows that reduce manual effort;
• Work on RAG pipelines, including document ingestion, embeddings, retrieval, and generation;
• Implement parts of agent-style workflows (tool usage, step orchestration);
• Integrate GenAI components with existing backend services and APIs;
• Help monitor system behavior, performance, and basic quality metrics;
• Participate in debugging issues and supporting systems in production;
• Collaborate with Product, ML Engineering, and Backend teams;
• Follow team standards for code quality, testing, and documentation.

Senior Artificial Intelligence Specialist

Backend Engineer

• Design and implement scalable, resilient, and efficient software architectures using microservices, event-driven, and cloud-native approaches.
• Write, test, and debug complex code for new and existing applications.
• Conduct code reviews to ensure quality, security, and adherence to best practices.
• Deliver production-ready code in a timely manner.
• Provide guidance and mentoring junior engineers and team members.
• Collaborate with cross-functional teams, including product management, design, and operations, to align development efforts with business goals.
• Research and implement new technologies and methodologies to improve software performance and processes.
• Identify and resolve complex software issues and technical challenges.
• Drive continuous improvement in development practices.
• Create and maintain comprehensive technical documentation.
• Communicate effectively with stakeholders, presenting technical concepts and project updates.

Middle .Net Developer

Product Manager

• Develop and refine product strategy aligned with business goals.
• Define and communicate product vision.
• Set and track KPIs to measure product performance.
• Analyze financial and business metrics to inform decisions.
• Conduct market and competitor analysis.
• Identify and systematize customer pain points.
• Drive product discovery and solution validation.
• Build business cases for product initiatives.
• Own end-to-end product development from ideation to launch.
• Build and maintain short- and long-term product roadmaps.
• Define product requirements and specifications.
• Ensure timely, high-quality delivery within budget.
• Lead collaboration across engineering, design, marketing, and sales.
• Communicate product strategy, updates, and results to stakeholders.
• Mentor junior product managers and support team development.

Middle Product Manager – Payments Team

Data Analyst

• Own core Payments KPIs and ensure metric consistency across teams (single source of truth).
• Identify the biggest levers in deposit and withdrawal funnels and quantify their business impact.
• Translate payment performance signals into clear priorities and recommendations.
• Partner with Payments Product Managers to shape hypotheses, define success criteria, and select the right metrics and guardrails.
• Run deep-dive analyses on approval rates, decline reasons, PSP performance, and payment method mix.
• Evaluate trade-offs between conversion, revenue, and risk using data-backed narratives.
• Analyze payment experiments and changes (A/B tests, phased rollouts, pre/post analysis).
• Build reliable analytical datasets and marts using advanced SQL.
• Deliver clear, decision-ready insights with expected impact — not just charts.
• Lead Payments BI development in Tableau: dashboards, reporting layers, and definitions.
• Enable self-service analytics for product and payments stakeholders.
• Maintain data quality and trust in reporting.
• Work closely with Payments, Product, Risk, and Operations teams.
• Communicate complex findings in a simple, structured way — tailored to the audience.
• Be the go-to analytics partner for payments-related questions and decisions.

Senior Data Analyst – Payment Team

• Design and evolve backend and frontend architecture using Node.js and JavaScript.
• Apply architectural patterns (microservices, event-driven design) based on real constraints.
• Design systems with failure in mind, using resilience patterns like circuit breakers and rate limiting.
• Build, ship, and maintain backend services and web interfaces in production.
• Deliver new features end to end — from requirements to release.
• Optimize applications for performance, scalability, and reliability.
• Ensure high code quality through reviews, testing, and clean architecture.
• Write and maintain unit, integration, and end-to-end tests.
• Improve test coverage and reliability of existing systems.
• Identify performance bottlenecks and drive optimization initiatives.
• Ensure secure coding practices and basic application security.
• Partner with product managers, designers, and engineers to deliver business outcomes.
• Translate requirements into technical solutions with clear trade-offs.
• Contribute to planning, estimation, and iterative delivery in Agile environments.
• Share technical context and documentation with the team.
• Mentor junior engineers and support technical growth within the team.
• Participate in technical discussions and continuous improvement initiatives.
• Stay current with modern JavaScript, Node.js, and web development practices.

Middle Full Stack Developer – Node.js

Machine Learning Engineer

• Take technical ownership of core components of recommendation and personalization systems (retrieval, ranking, evaluation).
• Design and evolve two-tower / embedding-based retrieval models and downstream rankers.
• Drive architectural and modeling decisions with a strong understanding of trade-offs between model quality, system complexity, latency, and cost.
• Define and promote best practices for ML system design, experimentation, evaluation, and deployment.
• Review ML designs, pipelines, and code with a focus on correctness, maintainability, and production readiness.
• Act as a technical point of reference for ML-related decisions within the team.
• Develop, train, and improve ML models for retrieval and ranking use cases.
• Work with embedding-based deep learning models and classical ML approaches.
• Perform in-depth data analysis, feature exploration, and systematic error analysis.
• Build reproducible experiments and robust offline evaluation pipelines.
• Optimize models for both offline metrics and online business KPIs.
• Design and operate batch and real-time training and inference workflows in a cloud environment, with awareness of scalability and cost trade-offs.
• Design, run, and analyze offline experiments and online A/B tests.
• Own ML components in production, with a strong focus on reliability, observability, and safe iteration.
• Monitor model performance and data quality in production.
• Collaborate on scalable training and serving infrastructure for ML systems.
• Participate in incident analysis related to ML systems and contribute to root-cause analysis and long-term fixes.
• Design ML systems with failure modes in mind, including fallbacks and graceful degradation.
• Work closely with Data Engineering on data pipelines and feature generation.
• Partner with Product and Analytics to translate business goals into clear ML objectives and success metrics.
• Act as a technical mentor for ML engineers, providing guidance on modeling, experimentation, and production ML.
• Provide constructive feedback through code reviews and design discussions, supporting the growth of the team.

Senior Machine Learning Engineer, Research Team

• Develop and maintain CRM solutions for the Navigation Widgets team.
• Deliver high-quality features and ensure system stability.
• Collaborate across cross-functional teams.

Senior .Net Developer – Navigation Widgets

Manager

• Own technical onboarding and integration projects from kickoff to BAU handover.
• Ship predictable outcomes by driving multiple parallel deliveries, managing risks, and keeping execution on track.
• Unblock day-to-day delivery challenges and make fast decisions when priorities shift.
• Act as the main delivery partner for clients during onboarding, building trust through clarity and execution.
• Align closely with Sales, Account Managers, and engineering teams to ensure delivery commitments match client and business goals.
• Coordinate cross-functional teams and dependencies across platforms, integrations, and APIs.
• Build and improve scalable delivery processes together with the Lead of Global Delivery.
• Optimize tools, workflows, and KPIs to increase delivery speed, quality, and transparency.
• Standardize onboarding practices to enable consistent, high-quality delivery as the client portfolio grows.
• Lead and grow a team of technical delivery experts, fostering ownership and accountability.
• Scale the team’s impact and responsibilities as onboarding volume and complexity increase.