Jobs at Djinni

Company Overview

We are a fast-growing digital media company operating in the DOOH and digital marketing space. We work with local businesses, agencies, and national brands, delivering innovative advertising solutions including LED trucks and digital screens. As we scale, we are looking for a strategic and hands-on Head of Marketing to lead brand growth, customer retention, and industry positioning.

Role Overview

The Head of Marketing will own the company’s marketing strategy and execution across brand, digital channels, customer retention, PR, and industry presence.

This role requires both strategic thinking (1–3 year growth direction) and operational execution (content, campaigns, events, communications).

The ideal candidate is analytical, business-oriented, and capable of building structured processes with clear KPIs.

Key Responsibilities

1. Marketing Strategy & Planning

• Conduct full analysis of current marketing processes and performance
• Build a 3–6 month marketing roadmap with defined KPIs and timelines
• Develop 1–3 year marketing growth strategy
• Define priority initiatives for 1—3—6 month execution cycles
• Create and manage structured project lists and reporting systems
   

2. Brand Positioning & Industry Presence

• Represent the company in virtual negotiations, strategic partnerships, and high-level online meetings, positioning the brand and value proposition effectively
• Identify and select key industry events for participation or sponsorship
• Lead industry PR initiatives (media publications, interviews, innovation features)
• Strengthen online brand positioning and visibility (Google presence, industry publications)
   

3. Customer Marketing & Loyalty

• Analyze current customer base (volume, tenure, journey, segmentation)
• Conduct customer surveys and NPS analysis
• Create customer tiers and loyalty programs
• Develop corporate gifting strategy
• Propose collaboration initiatives and retention campaigns
• Drive review acquisition strategy (Google Maps, testimonials, case studies)
   

4. Digital Marketing & Communications

• Build and execute 3–6 month content plan
• Define social media strategy (rubrics, tone of voice, posting frequency, creatives)
• Manage email marketing calendar (retention, announcements, review campaigns, promotions)
• Develop templates and automation flows (e.g., via Klaviyo or similar tools)
• Oversee creation of all marketing materials and creatives
   

5. New Business Marketing

• Define and prioritize target segments (small and mid-sized businesses, media agencies, national brands)
• Create targeted outreach and positioning strategy
• Align marketing initiatives with sales priorities
• Support sales with positioning materials and marketing campaigns
   

6. Internal & Online PR

• Build strong internal employer brand and positive company image
• Create engaging internal communications
• Oversee online PR and company representation across digital platforms
   

7. Operational Oversight

• Supervise marketing task execution and deadlines
• Ensure consistent quality of content and brand messaging
• Track and report on KPIs and marketing performance
• Collaborate closely with Sales, Operations, and Leadership
   

Required Skills & Experience

• 5+ years in marketing leadership roles
• Advanced English proficiency (C1 or higher), with strong written and verbal communication skills
• Experience in digital marketing / DOOH / media / advertising industry preferred
• Strong strategic planning and execution skills
• Experience with content marketing, email automation, and social media strategy
• Experience in PR and event marketing
• Analytical mindset with KPI-driven approach
• Experience conducting customer analysis and building loyalty systems
• Strong communication and presentation skills
• Ability to represent the company publicly

What Success Looks Like

• Clear marketing strategy with measurable KPIs
• Improved brand visibility and industry presence
• Structured retention system and loyalty program
• Strong Google reviews and testimonials pipeline
• Consistent lead generation aligned with sales strategy
• Recognizable and well-positioned brand in the digital advertising industry

Location: Remote
Work Hours: U.S. Eastern Time (ET)
Job Type: Full-time

We’re looking for an Anti-Fraud Specialist to build and own the company’s risk and fraud prevention system from scratch. This role combines strategic thinking and hands-on execution you’ll design the full fraud-contour, implement risk rules, and protect product economics without damaging conversion and retention.

You’ll work closely with the CEO, PSP Manager, Product, and Marketing teams to ensure sustainable growth and PSP stability on the US Sweepstakes market.

💪 Key Responsibilities:
✅ Build and own the full risk lifecycle:
✅ Develop and implement a unified fraud detection system integrating:
PSP risk signals, chargebacks, BIN & velocity checks, device fingerprinting, IP/proxy/geo data, KYC signals, affiliate sources, and in-product behavioral data.
✅ Create and manage risk-scoring models and fraud profiles for all users.
✅ Design and optimize:
- Auto-block rules
- Withdrawal holds
- Manual review flows
- Bonus eligibility logic
- Geo & device restrictions
✅ Monitor and improve fraud economics.
✅ Collaborate with PSP to maintain healthy processing metrics and reduce AML/chargeback risks.
✅ Work with Product to close UX and bonus exploitation gaps.

🔥 Skills & Competencies:
✔️ iGaming and US Market Experience 
✔️Experience working with antifraud tools, device/IP/geo systems, and PSP logs.
✔️ Ability to work with SQL/BI tools at analytical level.
✔️ Experience building risk rules, thresholds, and scoring models.
✔️ Ability to make tough decisions and challenge marketing/product when necessary.
✔️ English B2 or higher.

⭐ Nice to Have

Experience in US Sweepstakes or Social Casino products.
Experience building antifraud systems from zero in startups.
Knowledge of AML processes and PSP health metrics.
Experience working with affiliate-heavy traffic.

✨What We Offer:

• Full remote work
• Flexible working hours (start between 10:00 and 12:00)
• 8 hour work day + break
• Time Off 28 calendar days of paid vacation (after successfully passing the probationary period)
• 4 days of days off

Project
Our client has built a first-of-its-kind AI Agent that automates and accelerates the review of promotional and educational content for therapeutic products in the pharmaceutical industry. The founders are experienced SaaS entrepreneurs, and the product is maturing to support end-to-end MLR workflows.

Role
We’re looking for a hands-on Fullstack QA Engineer who can operate comfortably as a manual tester and build/maintain automated suites (with modern codeless tools like Testsigma) to deliver fast, reliable regression and release confidence. You’ll collaborate closely with Product and Engineering, shaping test strategy, hardening quality gates, and raising the bar on reliability in a regulated domain.

Responsibilities

• Test Strategy & Planning
  • Translate requirements and acceptance criteria into risk-based test plans and coverage maps across UI, API, data, and integrations.
  • Define and evolve a pragmatic test pyramid (unit → API → UI; smoke/sanity, regression, UAT).
    
     
• Manual Testing
  • Create and execute test cases for new features, bug fixes, and change requests; perform exploratory testing to uncover edge cases.
  • Log high-quality defects with clear reproduction steps, impact, and evidence; drive resolution with developers.
    
     
• Test Automation (Testsigma-first)
  • Build and maintain stable, reusable Testsigma suites for smoke and regression; leverage data-driven and keyword/NLP tests.
  • Integrate automation into CI/CD (e.g., GitLab/GitHub Actions) with environment tagging, parallelization, and results gating.
  • Expand coverage to API (REST/GraphQL) and key workflows; use custom functions when needed.
    
     
• Quality Operations
  • Own test data management and environment readiness; contribute to mock/stub strategies for external services.
  • Track and report quality KPIs (defect escape rate, flaky test rate, regression coverage, cycle time to fix).
  • Maintain living documentation (test plans, suites, runbooks, reports) in tools like TestRail/Zephyr.
    
     
• Collaboration & Process
  • Partner with Product for clear acceptance criteria; participate in backlog grooming, design reviews, and release readiness.
  • Coach teammates on writing testable stories and preventing regressions (“shift-left” mindset).
  • Continuously improve test effectiveness and execution speed; reduce flakiness and manual repetition.
     

Requirements

• 4–6+ years of QA experience testing SaaS/web applications, including significant hands-on manual testing.
• 2+ years building and maintaining automation for UI and/or API—ideally with Testsigma (or similar tools like Playwright/Cypress/Selenium, Postman).
• Strong grasp of testing methodologies (functional, regression, smoke/sanity, exploratory, risk-based), and test case design (boundary, equivalence partitioning).
• Experience with bug tracking and test management (e.g., Jira, TestRail/Zephyr) and CI/CD-triggered test runs.
• Comfortable validating web technologies (HTML/CSS/JavaScript), browser devtools, and basic SQL/log analysis for root cause clues.
• Clear, concise communicator with a bias for evidence (screenshots, HAR files, logs) and reproducibility.
• Familiarity with Agile practices (Scrum/Kanban) and working in fast-paced, iterative delivery.
   

Nice to Have

• Testsigma power-user experience: data sets, environments, custom functions, CI artifacts, reporting dashboards.
• API testing depth (Postman/Insomnia/newman) and contract testing basics.
• Exposure to regulated environments (e.g., GxP/21 CFR Part 11, audit trails, e-signatures) and documentation rigor
• Basic performance and reliability testing (e.g., k6/JMeter smoke) and accessibility testing familiarity.
• Experience testing AI/ML features (curated test sets, evaluation harnesses, prompt/response validation, guardrails).
   

What Success Looks Like (first 90 days)

• Stabilize a CI-triggered smoke suite (sub-10 minutes) covering critical MLR workflows.
• Establish a regression suite in Testsigma with meaningful coverage of high-risk paths and flaky-test rate trending down.
• Implement a lightweight quality dashboard (coverage, pass rate, defect trends, MTTR) shared with Product/Eng.
• Document a repeatable release readiness checklist with clear entry/exit criteria.
   

If you’re equal parts careful tester and pragmatic automator—and you enjoy making complex, regulated workflows feel rock-solid for users—we’d love to talk.

We are looking for a Middle System Analyst to join the Fintech Core project — a white-label modular fintech platform enabling rapid launch of digital banking and payment products. In this role, you will define system architecture, integration designs, and technical specifications for a scalable, PCI DSS–compliant financial platform serving multiple global implementations. You will work closely with Business Analysts, Solution Architects, and Engineering teams to translate business requirements into detailed technical documentation, ensuring high-quality, secure, and compliant system design across microservices-based architecture.

Details

Project: Fintech Core (White-label Digital Banking Platform)

Employment Type: Full-time

Start Date: ASAP

Work Format: Remote

Language Requirements: English – Upper-Intermediate+

About the Project

Fintech Core is a mature, actively evolving modular fintech platform designed to launch neobanks, digital wallets, and payment systems within 3 months.

The platform includes:

• General ledger system
• Middleware layer
• Mobile (iOS/Android) & Web applications
• Integrations with KYC/AML providers, card issuers, payment processors
• Compliance monitoring modules
• Built on microservices architecture, the platform supports:
• Multi-currency operations
• Cross-border transactions
• Card issuing
• Digital wallets
• Account & transaction management
• Back-office orchestration
• The solution is PCI DSS compliant and aligned with global regulatory frameworks.

Key Responsibilities

• Analyze and document system requirements across payments, cards, wallets, accounts, ledger, and compliance modules

• Translate business requirements into:

  Technical specifications

  API contracts (REST / OpenAPI)

  Database schemas

  Integration architectures

• Design data models, ER diagrams, and data flow diagrams for transactional systems

• Define integration patterns with:

  Payment processors

  KYC/AML providers

  Card networks

  Open Banking platforms

• Create sequence diagrams, component diagrams, and deployment architecture documentation
• Define non-functional requirements (performance, security, audit, retention policies)
• Conduct technical workshops with Engineering teams
• Maintain traceability between requirements, specs, implementation, and testing
• Support QA with integration test scenarios and acceptance criteria
• Ensure compliance with PCI DSS, GDPR, PSD2 and financial security standards
• Participate in sprint planning and architecture review sessions

Requirements

• 3+ years experience as System Analyst / Technical Analyst in fintech or banking
• Strong understanding of: General ledgers, Payment processing, Account management systems
• Experience with microservices architecture and distributed systems
• Strong API design knowledge (REST, OpenAPI/Swagger, webhooks)
• Experience with database modeling for transactional systems
• Understanding of event-driven architectures and message queues
• Familiarity with ISO 20022, SWIFT, SEPA, card schemes
• Knowledge of OAuth, JWT, API keys
• Cloud architecture understanding (AWS / Azure / GCP)
• Strong documentation skills (UML, BPMN, ERD, sequence diagrams)
• Experience with Confluence / Notion

Domain Knowledge

• Core banking concepts: accounts, balances, reconciliation
• Domestic and cross-border payment flows
• Card issuing and digital wallet mechanics
• KYC / AML processes
• PCI DSS & GDPR fundamentals

Nice to Have

• White-label / multi-tenant architecture experience
• Blockchain / crypto integrations
• PSD2 / Open Banking / MiFID knowledge
• Performance testing & system optimization
• DevOps & CI/CD understanding
• Modular platform architecture experience
• Financial audit & compliance exposure
• Data migration / integration project experience

Team Structure

• Cross-functional Agile team including:
• Product Owners
• Business Analysts
• System Analysts
• Backend & Frontend Engineers
• QA Engineers
• DevOps
• Security & Compliance Specialists

Overview

We are building a B2B SaaS platform powered by AI to transform recruitment workflows and decision-making. The platform is currently live and in active customer delivery, supported by executive sponsorship and a growing in-house product and engineering organisation.

The organisation has successfully transitioned from an external delivery partner to a permanent internal team. The focus has now moved from foundational setup to sustained product development, platform hardening, and commercial scale-out. Senior engineers joining at this stage must be comfortable delivering at pace while parts of the platform and tooling continue to evolve.

About the Product & Team

The core platform is live, with a roadmap focused on new AI-driven functionality and workflow expansion.

• Environment: This is a dynamic, changing environment where feature teams operate in parallel with platform and DevOps engineers who are addressing technical debt and CI/CD maturity.
• Team Structure: You will work within a cross-functional team including a Head of AI & Technology, Lead Tech, and other Software and DevOps engineers.
• AI-Native Culture: The team uses AI developer tooling (e.g. Copilot, Windsurf, LangChain) as a core part of daily engineering practice to improve velocity and code quality.

Responsibilities:

— Feature Delivery: Design, build, test, and release complex product features across the full stack;

— Ownership: Own non-functional requirements such as performance, reliability, security, and observability for delivered areas;

— Cross-Team Coordination: Work closely with Platform and DevOps engineers to align feature delivery with infrastructure and CI/CD changes;

— Technical Leadership: Contribute to architectural discussions, set quality standards through code reviews, and mentor mid-level engineers;

— AI Enhancement: Actively use and help standardise AI developer tools to improve overall team effectiveness.

Requirements:

Technical Experience

— Backend: Python (FastAPI) and Node.js;

— Frontend: React and TypeScript;

— Data: PostgreSQL, API design, and schema evolution;

— Cloud & Infra: AWS or GCP, Docker, Kubernetes, and Terraform;

— CI/CD & Observability: GitHub Actions, monitoring, logging, and alerting;

— AI: Practical experience integrating LLM APIs and using AI-assisted development tooling.

Business & Soft Skills

— SaaS Experience: Proven experience delivering features in SaaS environments with live users;

— Agile Delivery: Experience working closely with Product Managers and Designers in agile teams;

— Judgement: Ability to make sound technical and delivery decisions under ambiguity;

— Resilience: Effective and calm when priorities or foundations are changing.

Hardware & Compliance

— Hardware: Laptop, access to environments, and tooling will be provided by the client;

— Pre-onboarding: Successful candidates must complete background and criminal checks (approx. 2 weeks before commencement).

Hiring process:

Stage 1: CV and GitHub Review;

Stage 2: Screening Interview (30 mins);

Stage 3: Technical Interview (1 hour) including pair-programming;

Stage 4: Cultural alignment review (30 mins).

Hi everyone!

We are looking for a Senior Project Manager. We need someone who can go beyond simple task tracking. We are looking for a professional who takes full ownership of the strategic roadmap, manages complex cross-project dependencies, and acts as a proactive partner for our clients.

About us:
Mind Studios specializes in mobile and web app development, helping businesses unlock their potential and turn ideas into profitable products.
Our key domains include: Real Estate, Logistics, Healthcare, Fitness, and Mental Health.

Our achievements:
— 13 years in the IT market;
— offices in Dnipro, Kyiv, and Vienna;
— over 90 professionals on our team.

What we offer:
— work in a professional team building innovative products;
— support for your growth: regular performance reviews, assessments & personal development plans;
— education budget tailored to your skills and experience;
— flexibility: work remotely or from one of our offices;
— paid vacations and sick leaves;
— transparency: monthly company updates.

In this role, you will:
— lead the program: сoordinate work across parallel applications, ensuring that shared resources are synchronized and effective;
— hybrid delivery: implement a Hybrid approach (PMI-based) to bridge the gap between long-term roadmap commitments and flexible Agile execution;
— strategic roadmap ownership: build and maintain a realistic project plan. You will be responsible for keeping the roadmap up-to-date and aligned with the business goals of multiple stakeholders;
— stakeholder management: maintain transparent, high-level communication with the client. We need you to provide clarity, manage expectations, and offer data-driven solutions;
— proactive problem solving: identify potential bottlenecks and risks before they impact the delivery. If a problem arises, we expect you to own the solution and drive it to completion.

What is important to join us:
— 4+ years of experience in Project or Program Management within the IT industry;
— proven experience with larger teams: you have successfully led teams of 10+ specialists;
— hybrid methodology expertise: practical experience combining traditional planning (milestones, budgeting) with Agile delivery;
— the "ownership" mentality: you are proactive by nature, you don't wait for instructions, and you feel responsible for the final result;
— advanced communication: strong negotiation skills and the ability to say a reasoned "No" to a client when it’s in the product's best interest;
— technical & analytical proficiency: a solid understanding of the Web/iOS/Android release cycle and the ability to work closely with the BA team;
— upper-intermediate or higher (fluent for negotiations and demos).

It’s great if you additionally have:
— experience in Business Analysis;
— technical background: development / design / QA expertise;
— PMI-ACP, PSM, etc.

What makes us different from others?
Strategic Influence: You are not just an executor; you have a solid influence on the product’s future and its strategy.
PMO Support & Standards: We have established PMO standards that provide a solid foundation while allowing for expert tailoring.
Focus on Value: We build products for users, not just for clients. We prioritize product health and actual results over "process for the sake of process."

About the role
We are looking for a Middle Manual QA Engineer to join our product team and ensure the quality of a web-based online casino platform.
This role is for a specialist who takes ownership of product quality, participates in test planning, and performs deep analysis of complex issues, including integrations and backend logic.

Requirements

Experience

• 2+ years of commercial experience in Manual QA
• Experience in full-cycle testing of web applications
• Understanding of SDLC and Agile/Scrum
• Experience working in product teams

Technical skills

• Strong knowledge of testing theory and test design techniques
• Experience with PostgreSQL or other relational databases
• API testing experience (REST, HTTP/HTTPS, Postman, Swagger)
• Confident use of Chrome DevTools
• Experience with Jira and test management systems (Zephyr Scale, TestRail, or similar)
• Understanding of client-server architecture
• Experience analyzing logs and working with monitoring tools (Grafana or similar)

Languages

• English — B2+ (documentation and bug reporting)

Responsibilities

Testing

• Planning and execution of functional, regression, smoke, and integration testing
• Testing payment integrations (card processing, crypto, bank transfers)
• Deep testing of REST APIs and backend logic
• Multi-region testing (UK, Netherlands, Germany, France)
• Cross-browser and responsive testing
• Testing integrations with external services and payment providers

Analysis and Troubleshooting

• Log analysis and API interaction analysis
• Investigation and reproduction of complex and unstable issues

Documentation and Process

• Creating and maintaining test documentation in Zephyr Scale
• Building and updating regression test suites
• Reporting testing status and quality metrics in Jira
• Participation in sprint planning and task estimation
• Requirements analysis and early risk identification

Quality Improvement

• Release quality control before deployment
• Proposing improvements to QA processes and efficiency

Team collaboration

• Close collaboration with developers, analysts, and product managers
• Participation in technical discussions

Nice to have

• Experience in iGaming or Gambling (1+ year)
• Understanding of payment systems and financial transactions
• Experience with monitoring tools (Grafana, Kibana, ELK)
• Basic knowledge of web application security testing
• Experience with database tools (DBeaver or similar)
• Active use of AI tools (ChatGPT, Copilot, Claude) for test case generation, SQL queries, log analysis, and documentation

Soft skills

• Ownership and proactivity
• Analytical and structured thinking
• Strong attention to detail
• Good communication skills
• Self-organization and ability to work independently
• Willingness to share knowledge and mentor others

Working conditions

• Remote, full-time (40 hours per week)
• Flexible working hours
• Public holidays observed

What we offer

• Real impact on product quality and release decisions
• Work with a high-load international product
• Modern technology environment
• Growth opportunities to Senior QA or QA Lead
• Participation in technical decision-making

As we scale Documents to the web and prepare to launch a brand-new product, we’re entering an exciting new stage of growth. To make this journey successful, we’re looking for a Creative Producer who will be responsible for building and scaling how advertising creatives are produced across the company.

What will you do:

• Own the creative concept stage: generate ideas, angles, and scripts for ad creatives and prepare clear briefs for designers and the team.
• Collaborate closely with PMMs, Paid Social, and Creative specialists to decide what concepts should be produced and tested.
• Ensure creative output meets brand, quality, and performance standards across all channels.
• Turn data, performance insights, and market research into new creative concepts and hypotheses.
• Scale creative production using AI tools, freelancers, and UGC, working within a shared production flow.
• Track creative performance and continuously iterate on concepts and formats to improve CPI, CPM, installs, and conversions.
• Run creative sprints in Jira, align teams on priorities and timelines, and proactively remove blockers to keep delivery moving.

About you:

• At least 2 years of experience in a Creative Producer or similar role.
• Experience with paid social and performance creatives on platforms like Meta, TikTok, and Google, and the ability to turn social trends into effective ad ideas.
• Strong creativity and taste, with the ability to turn ideas into clear, engaging scripts and concepts.
• Confident writing and storytelling across ad formats.
• Excellent project and time management skills. 
• Act with ownership and a proactive mindset. 
• Fluent English for working in an international team and writing clear, natural ad copy. 

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

About Cyberette
Cyberette is an AI-native cybersecurity company developing forensic-grade technology to detect digital manipulation across video, audio, and images. Our mission is to restore trust in digital communication and protect people, organizations, and institutions from deception in the AI era.

About the Role
We are looking for a Computer Vision Data Scientist with strong initiative and technical excellence to join our core development team. You’ll be responsible for designing, training, and optimizing computer vision models and architectures used in our deepfake detection and forensic analysis platform.

This role requires someone who thrives in fast-paced environments, loves solving complex problems, and brings both creativity and rigor to their work. You’ll collaborate closely with our founders and engineers to push the limits of multimodal AI for real-world impact.

Key Responsibilities

• Develop, train, and deploy computer vision models for image and video manipulation detection.
• Research and experiment with new architectures, model ensembles, and multimodal fusion techniques.
• Preprocess, clean, and manage large-scale datasets for training and evaluation.
• Optimize model accuracy, latency, and scalability for enterprise-grade performance.
• Contribute to the design of the model evaluation framework and internal benchmarking tools.
• Collaborate with other engineers and researchers to integrate models into production pipelines.
• Document methodologies, experiments, and findings clearly and systematically.

Requirements

• MSc/PhD in Computer Science, Machine Learning, Artificial Intelligence, or related field.
• Strong experience in computer vision (CNNs, Transformers, multimodal models).
• Proficiency in Python and deep learning frameworks (PyTorch, TensorFlow).
• Solid understanding of ML ops, dataset curation, and model evaluation.
• Proven experience building and training models from scratch.
• Excellent analytical and problem-solving skills.
• Self-driven, disciplined, and collaborative mindset.

What We Value
At Cyberette, we believe technology should serve people. We are a team of builders united by a shared sense of purpose — creating tools that make the digital world safer and more truthful. If you care deeply about impactful innovation and want your work to matter, you’ll feel at home here.

Bonus Skills

• Experience with audio or multimodal analysis.
• Knowledge of adversarial attacks or deepfake generation methods.
• Experience in real-time inference or edge deployment.

Role Overview

Nucleus AI is seeking an AI / ML Data Scientist to help build and scale an AI-backed Learning Management System (LMS) that delivers personalized, adaptive learning experiences.

This is a hands-on, product-focused role at the intersection of machine learning, data science, and learning technology. You will design and deploy intelligent systems that directly impact learner engagement, personalization, assessment, and outcomes.

If you enjoy turning real-world data into models that are used by real users—and iterating on them in production—this role is for you.

Key Responsibilities

Machine Learning & Modeling

• Design, develop, and deploy machine learning models that power:
  • Personalized learning paths
  • Content and course recommendations
  • Learner analytics and insights
  • Adaptive assessments and feedback
     
• Build models for:
  • Learner skill inference and knowledge tracing
  • Engagement, completion, and drop-off prediction
  • Automated assessment scoring and feedback
     

Data & Analytics

• Analyze large-scale learner behavior data to extract actionable insights
• Develop and maintain data pipelines, feature engineering workflows, and model evaluation frameworks
• Apply statistical analysis and experimentation (including A/B testing) to validate model performance and impact
   

Collaboration & Product Integration

• Work closely with product managers, engineers, and instructional designers to translate learning objectives into AI-driven solutions
• Integrate models into production systems via APIs, batch pipelines, or real-time inference
   

LLMs & Advanced Techniques

• Experiment with and integrate LLMs and NLP techniques for:
  • Content generation
  • Learner feedback
  • Intelligent learner support
     
• Monitor models in production for performance, bias, and drift, and continuously improve them
   

Documentation & Governance

• Document models, assumptions, experiments, and results to ensure transparency, reproducibility, and maintainability
   

Required Qualifications

• Bachelor’s or Master’s degree in Data Science, Computer Science, AI/ML, Statistics, or a related field
• Strong proficiency in Python and common ML libraries (e.g., scikit-learn, PyTorch)
• Solid understanding of:
  • Supervised and unsupervised learning
  • Feature engineering and model evaluation
  • Statistical analysis and experimentation
     
• Experience working with both structured and unstructured data
• Proficiency in SQL and working with large datasets
• Ability to clearly communicate complex technical concepts to non-technical stakeholders
   

Nice-to-Have Qualifications

• Experience building ML systems in ed-tech, LMS platforms, or learning analytics
• Familiarity with
  • Large Language Models (LLMs)
  • NLP
  • Recommendation systems
  • Knowledge graphs
• Experience deploying models to production environments
• Exposure to cloud platforms such as AWS, GCP, or Azure
• Understanding of learning science, instructional design, or assessment theory
• Experience with MLOps tools (model versioning, monitoring, CI/CD for ML)
   

What We Offer

• Opportunity to work on mission-driven AI that improves how people learn
• Ownership of ML systems used by real learners at scale
• A collaborative, cross-functional team culture
• Competitive compensation and benefits
• Flexible work location and schedule
• Continuous learning and professional growth opportunities

Description:

We are looking for an experienced and results-driven Media Buyer with a strong background in lead generation. The ideal candidate will have a proven track record of successfully running profitable lead generation campaigns, managing traffic sources, and optimizing paid acquisition channels.

Responsibilities:

• Develop and execute strategic paid media buying plans to generate high-quality leads.
• Optimize social traffic sources, specifically TikTok Ads.
• Manage and monitor daily traffic acquisition budgets, ensuring ROI-positive campaigns.
• Track, analyze, and report on key performance metrics (CPA, ROAS, LTV, conversion rates, etc.).
• Research and test new ad creatives and audience targeting strategies to improve performance.
• Collaborate with creative teams to produce high-performing ad creatives and landing pages.
• Stay up to date with the latest trends in social media advertising, AI-driven media buying, and automation tools.
• Ensure compliance with advertising policies and regulatory requirements of TikTok and Facebook.

Requirements:

• 3+ years of experience in social media media buying and lead generation.
• Strong expertise in TikTok Ads(Facebook Ads will be a plus).
• Proven success in running and optimizing high-budget performance marketing campaigns.
• Strong analytical mindset with experience using Facebook Business Manager, TikTok Ads Manager, BI tools, and attribution models.
• Ability to identify, test, and scale profitable campaigns in different verticals.
• Understanding of compliance and regulations in social media advertising.
• Excellent problem-solving skills and ability to adapt to a fast-paced environment.
• Strong communication and leadership skills.

The client is an innovative global fintech leader behind USDT, the world’s largest and most widely used stablecoin.

We are looking for a Senior Backend Engineer with strong expertise in blockchain and crypto infrastructure to design, build, and scale high-performance backend systems interacting with EVM-based networks. This role focuses on blockchain integrations, transaction processing, distributed systems, and secure financial infrastructure at global scale.

Responsibilities:

• Design, build, and maintain scalable backend services using Node.js (JavaScript/TypeScript)
• Develop and optimize blockchain integrations with EVM-compatible networks
• Implement Web3-based interactions (smart contract calls, transaction signing, event indexing)
• Build secure services for transaction processing, wallet operations, and balance tracking
• Integrate with RPC providers, blockchain nodes, and third-party crypto services
• Design event-driven and distributed architectures for high-load financial systems
• Optimize gas usage, transaction batching, and on-chain/off-chain communication
• Implement monitoring, logging, and alerting for blockchain infrastructure
• Ensure security best practices in key management, signing flows, and API protection
• Write production-grade, well-tested code (unit, integration, load tests)
• Collaborate with product, DevOps, and security teams in a fully remote environment
   

Requirements:

• 7+ years of backend development experience
• Strong proficiency in JavaScript / TypeScript
• Deep experience with Node.js in production environments
• Hands-on experience with Web3 libraries (ethers.js, web3.js, viem, etc.)
• Strong understanding of EVM architecture and smart contracts
• Experience designing scalable distributed systems
• Strong understanding of security best practices in crypto environments

• Hands-on experience with Docker and containerized environments
   

  We are offering:

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations
   

Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSPs and effectively resell it through DSP buyers in banner and video formats

We are looking for a BDM who already has experience building and scaling

resell operations in programmatic (supply → demand), where profit is generated on

the margin between purchasing from SSP and selling to DSP

Key requirements

- Proven experience specifically in programmatic resell/arbitrage for 2–4 years:

- Purchasing inventory from SSP (PubMatic, Magnite, OpenX, Index, ,

Adform, AppNexus/Xandr, and similar)

- Reselling through DSP (DV360, The Trade Desk, Xandr, Yandex DSP,

MGID, Taboola, programmatic direct, agencies)

- Working in a model without own direct traffic/publishers (pure

resell, supply path management)

In-depth knowledge of focus formats:

- Banner/Display: standard (300×250, 728×90, etc.), rich media,

interstitial, high-viewability

- Video: pre-roll, in-stream, out-stream, rewarded, VAST/VPAID, vertical /short-form video

- Understanding of resell economics: CPM purchase vs CPM sale, margin per impression,win-rate, viewability, completion rate, fraud-rate, latency, supply path optimization

(SPO)

- Negotiation skills: floor prices, private marketplaces / PMP / deals at SSP; tests,scaling, performance guarantees at DSP buyers

- Experience with supply chain transparency: sellers.json, SupplyChain Object,minimizing hops

- Confident outreach to SSP partners and DSP clients (LinkedIn, email,

Telegram, industry events)

- Knowledge of current 2026 verticals: e-commerce, fintech, apps, gaming, education, dating — where banners and videos provide stable volume in the resell model

What will be in your area of responsibility

- Searching for and connecting new SSP partners to purchase high-quality programmatic inventory (banner + video) at favorable rates

- Attracting and developing DSP buyers, agencies, and performance teams who need high-volume, clean traffic without fraud

- Full transaction cycle: testing,analysis (margin, win rate, quality), scaling, analysis (margin, win rate, quality), scaling

- Supply chain management: optimizing delivery routes, monitoring transparency, working with Deal IDs / PMP

- Monitoring trends (vertical video, shoppable banners, brandformance, CTV-like inventory) and adapting offers to demand

- Constant work on margins: negotiations on floors/deals at SSP, packaging inventory for the needs of DSP clients

- Achieving goals for turnover, margins, and long-term partnerships

What we offer

- Fixed salary

Percentage of margin/turnover on resell operations Banner & Video — transparent scheme, no upper limit

- Fully remote format

- Access to real-time dashboards, BI analytics, internal statistics on

supply/demand, fraud, viewability/completion

- Fast payments, performance-oriented billing model

- Freedom in approach to development: focus on results and economics, minimum Business Development Manager | Programmatic Resell (Banner & Video)

- Performance ad-tech platform specializing in programmatic resell: we purchase high-quality inventory from SSP and effectively resell it through DSP buyers in banner and video formats

We are looking for a Mobile QA Automation Engineer to join our team and strengthen our mobile test automation efforts. You will focus on designing, building, and maintaining automated tests for native iOS and Android applications using Appium, WebdriverIO, and JavaScript/TypeScript. Practical experience in coverage of native mobile apps with automated tests is essential.

 Responsibilities

• Design, develop, and maintain mobile test automation using Appium and WebdriverIO.
• Collaborate with developers and QA team to ensure high test coverage and product quality.
• Build and support automation frameworks, standards, and reusable components from scratch.
• Integrate tests into CI/CD pipelines (e.g., GitHub Actions, GitLab CI).
• Analyze test results, report defects clearly, and participate in debugging/release cycles. 
• Contribute to QA best practices, documentation, and continuous improvement.

Requirements

• At least 6 months of experience with Appium for mobile test automation.
• Practical experience writing automated tests in JavaScript/TypeScript with WebdriverIO.
• Demonstrated experience in mobile automation test coverage of native apps (not just scripting).
• Ability to build or extend automation framework from scratch
• English communication at B1 (Intermediate) level or higher.

We Offer

• Collaborative international team.
• Flexible working conditions.
• Legal support.
• Paid sick leaves.
• Paid vacations.
• Medical insurance. 
• Free English classes.

You are our ideal candidate if you:

• Have English proficiency at B2 level or higher;
• Speak Czech fluently or at a native level;
• Have strong communication skills and are willing to learn, grow, and quickly absorb new information;
• Previous experience in customer support or sales will be considered an advantage.

What will you be responsible for?

• Qualification of B2B leads: evaluating potential dealers to ensure they meet requirements and assessing their readiness for cooperation;
• Classifying leads (qualified / unqualified) and recording results in the CRM system;
• Conducting cold outbound calls to attract new dealers;
• Presenting the company’s business model and identifying interest during the first contact;
• Processing inbound leads and converting interest into full registration;

• Supporting dealers throughout the registration process, explaining cooperation terms, and transferring qualified partners to the next stage of the process.

   

What do we offer?

• Paid training;
• Stable and timely income (base salary + performance-based bonus tied to real KPIs);
• Career growth opportunities (development within the project as well as in other structural departments of the company);
• Working schedule: Monday–Friday, 09:00–18:00.