Jobs at Djinni

Meroda is a fast-growing European beauty brand expanding internationally across DTC, marketplaces and retail. We’re looking for a hands-on E-commerce Technology & Operations Manager to own the systems, integrations and technical projects behind that growth.

This role combines technical operations, product ownership and solution architecture. You’ll work closely with our Head of Growth, E-commerce, CRO, Finance and Operations teams to understand business needs, define the right solutions and take projects through to launch.

What you’ll do

• Own the operational and technical management of Shopify, its apps and connected commerce systems.
• Understand business processes end to end and translate them into clear technical requirements, workflows and scalable solution designs.
• Own and prioritize the commerce technology roadmap based on business impact, risk and effort.
• Shape how Shopify, ERP, PIM/DAM, marketplaces and payment providers work together, ensuring reliable product, inventory, order and customer data flows.
• Lead projects such as TikTok Shop launches, new payment methods, system implementations and international expansion, from requirements through testing and go-live.
• Coordinate developers, agencies and technology partners, taking ownership of delivery, quality and results.
• Investigate root causes, automate recurring processes and improve system reliability, documentation and monitoring.

What we’re looking for

• 3+ years of experience in e-commerce technology, operations, technical product ownership or technical project management.
• Strong hands-on Shopify experience, plus experience with integrations, payment providers and systems such as ERP, PIM/DAM or OMS.
• The ability to understand both business processes and the underlying technology, evaluate solutions and explain technical trade-offs.
• Practical understanding of APIs, webhooks and data flows, with the confidence to investigate issues yourself. Coding expertise is optional.
• Strong commercial judgment: use data to assess how technical decisions affect conversion, customer experience and operational efficiency, balancing scalability with speed.
• Clear communication, strong organization and a track record of taking ownership from requirements to launch.

Shopify Plus, international DTC and marketplace launch experience are strong advantages.

Why join Meroda?

Work directly with our Head of Growth, shape our commerce technology roadmap and help build the infrastructure supporting an international beauty brand’s expansion.

Techstack is a technology product engineering company that sets an example for high development standards in the IT industry. We empower each team member to influence the development of the product, company, and processes.
About the role:
We’re working with a maritime training and simulation company based in the Netherlands.

The company provides training, assessment, simulation, and digital learning solutions for the global maritime industry.

The project focuses on the cloud platform behind these services. It runs on AWS and Kubernetes and is being evolved into a secure, reliable, and maintainable multi-account environment managed through Infrastructure as Code.

The infrastructure is also being prepared for future ISO/IEC 27001 certification, with a strong focus on security, access control, traceability, and operational reliability.
 

Responsibilities :

• Develop reusable OpenTofu or Terraform modules and environment configurations.
• Build and maintain GitHub Actions validation and deployment pipelines.
• Implement a GitOps approach for existing EKS services.
• Build and operate multi-account AWS infrastructure.
• Manage AWS resources including VPC, EKS, ECR, IPAM, IAM Identity Center, KMS, S3 state, Client VPN, and GitHub OIDC.
• Develop a strategy for migrating existing AWS resources into OpenTofu/Terraform state.
• Secure EKS access, including private API connectivity and restricted public CIDRs.
• Maintain encrypted, isolated, and recoverable OpenTofu/Terraform state.
• Implement logging, monitoring, consistent tagging, access reviews, and controlled infrastructure changes.
• Improve the scalability and reliability of EKS services.
• Support disaster recovery and reduce cross-account blast radius.
• Create security and operational documentation and evidence required for ISO 27001 readiness.
• Participate in pull request reviews and ensure infrastructure changes are traceable and approved.

Requirements :

• Strong hands-on experience with AWS architecture and administration.
• Production experience with OpenTofu or Terraform.
• Experience with GitHub Actions and AWS authentication through OIDC.
• Experience implementing GitOps from scratch.
• Strong knowledge of Amazon EKS and Kubernetes.
• Experience with AWS Organizations or another multi-account architecture.
• Strong knowledge of AWS networking, including VPC, routing, endpoints, IPAM, VPN, and private connectivity.
• Strong understanding of AWS IAM, IAM Identity Center, permission boundaries, KMS, and least-privilege design.
• Experience with remote-state security, locking, migration, and recovery.
• Experience with infrastructure security, audit logging, monitoring, and secrets management.
• Experience with Git-based change management and code review.
• Experience preparing cloud infrastructure for
• ISO/IEC 27001 or a comparable security framework
• Ability to translate security requirements into infrastructure controls and documented procedures.
• Ability to produce auditable evidence from Infrastructure as Code, AWS configuration, and CI/CD workflows

Nice to have:

• Data Lake and BI dashboard integration
• Datadog and CloudWatch
• RDS MySQL and ElastiCache
• ECR replication and cross-account access
• SAML federation and AWS Client VPN
• Route 53, ACM, ALB, SES, ECS, and EC2
• Secure integration of AI-assisted engineering tools

How to join:

• Pre-screening with a recruiter
• Expert review of your resume
• English check
• Interview with our experts
• Customer interview

Culture:

At Techstack, we care about how we build products — not only about the result, but also about the quality of the engineering process and the way we work together.

We encourage people to keep learning, share what they know, and take ownership of their work.

Tech Guilds — communities where specialists share knowledge, discuss technical solutions and approaches, and keep up with industry trends.

Meetups and knowledge sharing — opportunities to share your experience with colleagues and the wider tech community.

Mentoring and leadership — opportunities to grow as a mentor, technical lead, or take on other roles where you can support others and share your expertise.

We believe that good products come from people who care about what they build, keep developing their expertise, and are comfortable both challenging ideas and being challenged.
The expected implementation scope is approximately 2-3 months, subject to the outcome of the initial infrastructure assessment.

🚀 Project Description

Facie is an early-stage AI product working with face image analysis.

We are looking for a strong Junior Computer Vision / ML Engineer to build a reliable mechanism for measuring facial geometry from photos.
 

The first challenge is straightforward to describe but non-trivial to solve: given a face photo, accurately measure numerical parameters of different facial features, such as eye dimensions, mouth dimensions, nose geometry, jaw proportions, distances between facial landmarks, and other geometric characteristics.
 

This is a greenfield CV problem.

You will not receive a predefined model or a detailed list of experiments to execute. We expect you to explore several possible approaches, quickly validate them, discard what does not work, and find a solution that is good enough to move into the product.
 

At phase 1 - our engineering philosophy is simple:

20% of effort that delivers 80% of the result is often better than spending weeks searching for theoretical perfection.
 

✅ You are:
 

• Confident with Python
• Understand core Machine Learning concepts
• Have practical experience with Computer Vision OR can demonstrate serious interest in the field
• Can work with existing open-source models and libraries
• Comfortable reading unfamiliar code and quickly running existing projects
• Understand basic model inference and API concepts
• Able to turn an unclear problem into several testable hypotheses
• Comfortable when the first approach does not work
• Able to explain how you would validate whether an experiment actually works
• Focused on finding a practical solution rather than endlessly optimizing one approach
• Comfortable using Git and working with an engineering team

Commercial Computer Vision experience is not required.
 

If your primary background is general ML or software engineering, we would still like to talk if you can demonstrate genuine interest in CV through things such as:

• university or online CV courses
• pet projects
• GitHub projects
• Kaggle
• research or thesis work
• reproduced papers
• personal experiments
   

➕ Will be a plus:
 

• OpenCV
• PyTorch or TensorFlow
• MediaPipe or other face landmark solutions
• Experience with face detection, landmarks or segmentation
• Understanding of 2D / 3D geometry
• Experience reading and implementing research papers
• Docker
• Model serving or inference pipelines
• Experience exposing ML functionality through an API
• Experience designing reproducible ML experiments
• Experience with Cursor, Claude Code, Codex or similar AI development tools
   

♟️ What We Expect from You:
 

• Experiment-first thinking - generate several possible approaches instead of betting everything on the first idea
• 80/20 mindset - optimize for time-to-market and find the simplest solution that provides enough accuracy for the product
• Ownership - do not wait for someone to define every next experiment for you
• Validation mindset - always ask how we know that a result is actually correct, especially when perfect ground truth does not exist
• Fast iteration - prototype, measure, learn, discard weak approaches and move forward
• Engineering judgment - understand when ML is needed and when deterministic geometry or conventional code is a better solution
• AI adoption - actively use modern AI coding tools when they help you iterate faster
• AI skepticism - understand and verify AI-generated code instead of blindly trusting it
• Clear communication - explain what you tried, what failed, what worked and what you recommend trying next
   

🔑 Responsibilities:
 

• Research different approaches for measuring facial geometry from images
• Build quick prototypes and experiments
• Evaluate existing Computer Vision models and open-source solutions
• Compare multiple approaches using measurable criteria
• Design practical validation methods when perfect ground truth is unavailable
• Analyze failure cases and identify why particular approaches fail
• Select solutions based on accuracy, complexity and time-to-market
• Build a reproducible facial geometry measurement pipeline
• Document experiments, conclusions and technical decisions
• Prepare successful solutions so they can be integrated by Software Engineers
• Ideally, help turn successful prototypes into an inference service or API
• Proactively suggest the next experiments instead of waiting for detailed tasks
   

🤖 AI-assisted Engineering
 

We actively use modern AI development tools.

You are welcome to use Cursor, Claude Code, Codex or similar tools to write code, explore libraries, integrate models and accelerate experiments.

We do not care whether every line of code was written manually.

We do care whether you understand:

• what you are testing
• why you selected a particular approach
• whether the result can be trusted
• how you validated it
• what the generated code actually does
• what you would try next if the approach fails
   

🍩 What We Offer:
 

• Part-time or Full-time depending on the candidate
• Remote work
• A real Computer Vision problem with direct impact on the product
• Significant ownership of the CV direction
• Freedom to experiment with different technologies and approaches
• Access to paid AI development tools where needed
• Direct communication with the founder and engineering team
• Opportunity to build a Computer Vision system from the greenfield stage into production
• Opportunity to grow from Strong Junior toward independently owning an ML / CV product area
   

🗣 Recruitment Process:
 

Intro Interview → Live Problem-Solving Session → Small Practical Experiment → Final Interview
 

💻 Live Problem-Solving Session (Optional)
 

This is not LeetCode and not a theoretical ML exam.

You will receive a previously unseen Computer Vision problem and will be asked to think aloud and visualize your approach using a whiteboard, Paint, FigJam or a similar tool.

We want to understand:

• how you decompose an unclear problem
• how many reasonable approaches you can generate
• what you would test first
• how you prioritize experiments
• how you validate results
• what you do when the first few approaches fail
• when you decide that a solution is good enough to ship
   

🧪 Practical Experiment (Optional)

Selected candidates will receive a small Computer Vision experiment.

You can use:

• AI coding tools
• Google
• documentation
• open-source models
• existing libraries
• research papers

We are not testing your ability to code without assistance.
 

We are testing your ability to turn an ambiguous CV problem into a working and validated solution quickly.
 

The expected output is a small working prototype plus a short explanation of:

• approaches considered
• approach selected
• why it was selected
• how the result was validated
• discovered limitations or failure cases
• what you would try next with one additional day

About This Role At Coreblocks, you'll help build a platform designed for One — the individual freelancer, artist, or business owner — rather than viewing users as abstract market segments. In this role, you will take end-to-end ownership of our automated testing architecture across backend microservices and native mobile applications. You'll ensure every financial transaction flows with absolute precision and zero noise. Operating with complete technical autonomy, you'll work directly alongside product and core engineering teams to bake quality into our build pipeline without corporate friction or micromanagement.

What You'll Drive

• Unified Test Automation Architecture: Build, scale, and maintain robust automated test suites across backend systems and mobile platforms (iOS/Android) using TypeScript, Playwright, Appium, or Cucumber.
• API & Data Integrity Engineering: Rigorously validate our API layer, taking direct responsibility for deep functional, contract, and data-integrity testing across REST and low-latency protocol interfaces.
• CI/CD Integration & Continuous Delivery: Embed automated test execution directly into GitHub Actions or GitLab CI pipelines, enabling fast, predictable, and frictionless release cycles.
• Cross-Functional Collaboration: Partner closely with DevOps, product, and backend engineers during architecture reviews and sprint planning to design highly testable systems from day one.
• Defect Ownership & Test Data Management: Identify edge-case defects, refine test data strategies, and build clear quality metrics to maintain high standards across all releases.

• AI-Augmented QA Execution: Apply modern QA practices by leveraging AI tools to accelerate test case generation, test maintenance, and automated run failure analysis.

   

What We Expect

• Automation Engineering Experience: 5+ years of commercial software testing experience with a strong focus on building and scaling automation frameworks.
• TypeScript & Modern Frameworks: Deep proficiency in writing production-grade test code using TypeScript alongside modern testing engines like Playwright or Cucumber.
• Native Mobile Automation: Practical experience building test automation for native iOS and Android applications using Appium or native framework equivalents.
• Rigorous API & Contract Testing: Proven expertise in validating complex REST APIs in data-intensive, precision-critical environments before code reaches production.
• DevOps & Pipeline Mastery: Solid understanding of modern CI/CD practices with hands-on experience integrating regression suites into GitHub Actions or GitLab CI.
• AI Tooling Integration: Active daily use of AI coding assistants and models (e.g., Cursor, Claude) for test design, script generation, root-cause debugging, and maintenance.

• Clear Communication & Ownership: Strong end-to-end task accountability, interest in the underlying product logic, and fluent English communication built on transparency and respect.

   

Bonus Points

• Fintech & Payments Experience: Prior exposure to financial APIs, payment orchestration pipelines, or security and compliance frameworks.
• Multi-Protocol Expertise: Experience testing gRPC or GraphQL layers alongside standard REST APIs.
• Performance & Cloud Literacy: Basic understanding of load/stress testing principles and exposure to cloud infrastructure (AWS, GCP, or Azure).

About this role At Coreblocks, we build solutions that empower independent creators, business owners, and freelancers. We are looking for a hands-on Tech Lead to take charge of our core Data squad — the foundation that powers data operations across the entire organization. In this role, you will define the technical strategy for our data platform, driving the development of read models, real-time CDC workflows, and a high-performance analytical warehouse. Our data infrastructure derives directly from live operational systems. You will operate this squad as a key internal service partner, transforming business requirements from cross-functional teams into resilient, fully auditable data products.

You'll take ownership of:

• Squad Leadership & Delivery: Mentor and scale an agile team of backend and data engineers. As Tech Lead, you take full accountability for end-to-end execution, measuring success by value delivered in production. You will serve as the technical authority across teams while staying actively involved in coding, demonstrating modern AI-driven engineering practices every week.
• Data Platform Engineering: Design and scale robust, high-load data architectures, building real-time ELT/ETL pipelines and high-throughput microservices in Go (ensuring operational systems remain the single source of truth).
• Compliance & Data Governance: Architect secure storage mechanisms and data flows that meet strict multi-jurisdictional regulations, incorporating automated audit trails, retention policies, and strict data segregation.
• Event-Driven Infrastructure: Build scalable streaming architectures and Change Data Capture (CDC) pipelines connecting operational engines to our analytical layers using NATS, PostgreSQL, and ClickHouse.
• AI-Powered Workflows: Embed modern AI tooling (Cursor, Claude) into the squad’s routine, optimizing prompt pipelines, custom rules, and automated workflows to maximize team output.
• Data Quality & Technical Standards: Establish end-to-end data observability and consistency across ClickHouse and PostgreSQL while mentoring engineers in Go and TypeScript best practices.

About you:

• Proven Engineering Leadership: 5+ years of software engineering experience with demonstrated success in leading, mentoring, and setting architectural standards for high-performing technical teams.
• Go Expertise: Exceptional proficiency in writing clean, scalable Go code, with strong knowledge of concurrency, memory management, and system performance tuning.
• Data Streaming & Pipeline Mastery: Hands-on background in constructing CDC pipelines, ELT processes, and handling high-volume event streaming (NATS, Kafka, or similar).
• Database & Regulatory Knowledge: Deep expertise in PostgreSQL and ClickHouse (OLAP), with practical experience resolving data localization, residency, and compliance constraints across global markets.
• Fintech / Regulated Sector Experience: Background in developing data infrastructure within neobanking, fintech, or regulated digital financial platforms.
• AI-First Mindset: Daily use of advanced AI coding assistants (Claude, Cursor) to accelerate architecture design, system configuration, and feature delivery.
• Open & Collaborative Approach: Excellent communication skills, strong team empathy, and a commitment to transparent decision-making.
• Professional English: Fluent written and spoken English (B2+) to articulate technical visions and align global stakeholders effectively.

Nice-to-haves (Bonus Points):

• Kafka Ecosystem: Deep hands-on experience with Kafka, including Kafka Connect customization and complex data transformations.
• Advanced ClickHouse Tuning: Expertise in schema optimization, query acceleration, and scaling large ClickHouse installations.
• Production ML Pipelines: Practical experience streaming machine learning model outputs directly into operational data pipelines.

About this role At Coreblocks, we create tools that support independent creators, entrepreneurs, and freelancers. In this position, you will drive the technical development of our native Android application, creating fast, seamless, and intuitive mobile features that simplify how users manage fiat, digital assets, and investment portfolios. We grant you complete engineering autonomy, valuing high craftsmanship and zero micromanagement, allowing you to design, build, and deploy secure, beautifully styled mobile experiences end-to-end.

You'll take ownership of:

• Native Application Development: Design, implement, and maintain responsive Android features (including transaction history, account overviews, payment processing, and multi-asset dashboards) maintaining full parity with our web platform.
• Secure API Communication: Work closely with backend teams to consume and protect real-time financial streams over RESTful services.
• Client-Side Security: Build and enforce high-standard security patterns, incorporating biometric logins, secure token storage using Android Keystore, certificate pinning, and smooth multi-factor authentication (MFA) flows.
• Design System & UI Execution: Convert Figma designs into pixel-perfect Material Design layouts using Jetpack Compose, delivering simple user journeys for complex financial operations.
• Code Reliability & App Performance: Write solid unit and integration test suites (JUnit, MockK), conduct thorough code reviews, monitor application memory/resource consumption across various Android devices, and fix production issues rapidly.
• Agile Collaboration & Delivery: Contribute actively to sprint planning, offer reliable technical estimates, and align software roadmaps with Product Leadership by understanding the business drivers behind every task.
• AI-Native Engineering: Leverage modern AI assistants (Cursor, Claude, or GitHub Copilot) in your everyday workflow to speed up UI prototyping, code writing, and unit test coverage.

About you:

• Commercial Android Experience: 3+ years of professional experience developing native Android applications, with high proficiency in Kotlin and hands-on familiarity with Kotlin Multiplatform (KMP).
• Modern Android Stack: Thorough understanding of modern architectural patterns (MVVM/MVI, Clean Architecture) and Jetpack components (ViewModel, Coroutines Flow, Navigation).
• Declarative UI & Concurrency: Strong hands-on experience using Jetpack Compose (or extensive background with traditional XML Layouts) alongside Kotlin Coroutines and Flow for managing reactive data streams.
• Mobile Security Practice: Practical knowledge of securing sensitive data in mobile apps, including Keystore integration, code obfuscation (ProGuard/R8), and encrypted local storage.
• Testing & Quality Assurance: Proven track record of writing unit tests (JUnit, Mockito/MockK), exceptional debugging skills, and a strong focus on mobile app performance and crash-free rates.
• Self-Driven Accountability: Ability to manage your own tasks independently, taking full responsibility for features from initial setup to Google Play release without needing constant oversight.
• Open Communication: Professional English skills (spoken and written), strong team spirit, willingness to share knowledge across engineering teams, and a commitment to a respectful working culture.

PSP Specialist

About the Role

We are looking for our partner a PSP Specialist who will support payment provider evaluation, business calculations, technical integrations, and ongoing PSP performance analysis across our casino brands.

The key objective of this role is to determine whether cooperation with a particular PSP makes commercial and operational sense for the business.

You will analyze PSP proposals and their expected economics, considering turnover, fees, conversion and approval rates, settlements, reserves, FX, limits, chargebacks, payout conditions, and other relevant factors.

On the technical side, you will assess integration requirements, review PSP documentation, coordinate with internal technical teams and providers, and support integrations from evaluation through successful launch.

Key Responsibilities

• Evaluate potential PSPs and payment methods from business, financial, operational, and technical perspectives.
• Prepare business calculations to determine whether cooperation with a PSP is commercially viable, considering incoming and outgoing turnover, fees, conversion, reserves, settlements, FX, limits, chargebacks, and payout conditions.
• Compare PSP proposals and provide structured recommendations to support provider selection and integration decisions.
• Review technical documentation and assess integration requirements, payment flows, APIs, webhooks/callbacks, transaction statuses, deposits, withdrawals, and refunds.
• Coordinate PSP integrations with providers and internal Product and Development teams, including testing and go-live support.
• Monitor PSP performance after launch, including turnover, conversion and approval rates, transaction costs, deposit/withdrawal performance, failures, and technical stability.
• Compare actual PSP performance with the initial business case and identify gaps, inefficiencies, and optimization opportunities.
• Prepare payment analysis, conclusions, and recommendations for the management team.

Requirements

• 2+ years of experience with PSPs, payment systems, acquiring, payment operations, payment integrations, or payment analytics.
• Experience in iGaming is highly preferred.
• Practical understanding of online casino deposit and withdrawal flows.
• Experience with fiat payments; understanding of crypto payment flows will be an advantage.
• Good understanding of PSPs, acquiring, payment gateways, APMs, settlements, reserves, chargebacks, refunds, and FX.
• Strong analytical and numerical skills with the ability to build business cases and PSP cost/economics calculations.
• Strong Excel / Google Sheets skills.
• Ability to read and understand PSP technical documentation.
• Understanding of APIs, webhooks/callbacks, transaction statuses, payment flows, and integration principles.
• Experience participating in PSP integrations, testing, or technical onboarding.
• Ability to communicate effectively with technical and business teams.
• English sufficient for communication with international PSPs and working with technical documentation.

What We Offer

• Opportunity to work with two international online casino brands focused primarily on Tier 1  markets.
• Hands-on involvement with both fiat and cryptocurrency payment solutions.
• Direct exposure to PSP evaluation, payment economics, integrations, and performance optimization.
• Opportunity to develop expertise at the intersection of Payments, Business, Finance, Product, and Technology.
• High level of ownership and direct cooperation with the PSP Manager and cross-functional teams.
• International, fast-moving environment focused on data, business results, and practical improvements.

About Company

BetLive operates two online casino brands focused on international markets, with a primary focus on Tier 1 GEOs.

Our products offer a full online casino experience and support both fiat and cryptocurrency payment methods, allowing players across our target markets to deposit and withdraw using a range of relevant payment options.

As our brands continue to grow and expand into new markets, we are strengthening our payments function to ensure reliable payment coverage, strong conversion, efficient payment flows, and commercially sustainable relationships with payment providers.

Our AI QA team provides end-to-end testing solutions of complex AI-driven features, hardware sensors supporting AI functionality, and large-scale cloud and embedded systems. We bring proven experience in both hardware and software product development, with a strong focus on motion detection technologies.
We specialize in building and executing multi-layered automation frameworks across integration, system, and acceptance levels, ensuring comprehensive test coverage, continuous product state monitoring, and stable product releases.
The team contributes to the development of AI features and embedded systems.

We are looking for a QA Engineer with solid experience in software testing, preferably with exposure to embedded systems. In this role, you will be responsible for executing manual tests as well as expanding and maintaining our existing automation coverage.

Responsibilities:

Define requirements for test environments, data, resources, and tools
Create and maintain traceability matrices
Provide accurate high-level and detailed estimations for assigned activities and features
Develop and execute Test Plans in line with standards
Ensure automated test coverage (execution, analysis, reporting)
Contribute to the development and expansion of the existing Python test framework
Interpret and apply product and project metrics (technical and quality)
Prepare Test Summary Reports for features and programs in line with standards
Monitor, update, and implement new QA approaches based on standards (ISO/IEC/IEEE, ISTQB, RST)
Apply Quality Management principles (Planning, Assurance, Control, Continuous Improvement)

Skills:

5+ years of experience as a QA engineer

Basic knowledge in computer vision and machine learning
Understanding and hands-on experience with embedded systems testing
Good Automation skills with Python
Hands-on experience in UNIX/Linux, including CLI navigation and use of regular expressions
Experience with databases and SQL
Experience with CI tools (Jenkins)

Nice to have:

Basic experience with Raspberry Pi
Hands-on experience in Bash scripting
Familiarity with AWS services
Practical experience with API testing (CRUD operations, debugging with Postman or similar tools)
Experience in mobile testing
ISTQB Certification

We offer multiple benefits that include

• The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
• Competitive salary packages with performance-based annual reviews
• Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company
• Employment via Contract of Employment (UoP) in complete alignment with Polish Labour Law
• Guaranteed paid vacation, public holidays, and medical leaves as per statutory regulations
• Continuous growth and development opportunities through internal knowledge hubs, corporate courses, and free English classes
• Comprehensive private medical insurance to supplement your standard NFZ coverage.

We are looking for a forward-thinking, driven, and hands-on Global Chief Information Security Officer (CISO) to design, implement, and scale our global information security strategy. As we expand, you will be responsible for building security processes from scratch, ensuring unimpeachable information security compliance across the regulated markets, and leading a distributed remote team.

This is a leadership role that is focused entirely on the global information security posture of the company.

Key Responsibilities:

InfoSecurity Strategy & Governance:

• Define, drive, and execute the global information security roadmap aligned with business goals.
• Assess and define CEX.IO’s current and future requirements in terms of information security.
• Identify capability gaps in the context of regulatory considerations and industry benchmarks
   

Process Management:

• Build, implement, and optimize robust security processes, frameworks, and policies across the entire organization from the ground up.
• Ensure all target teams are provided with the training and resources needed to perform their jobs to the highest degree possible

Compliance, Certifications & Audits:

• Oversee the successful acquisition and maintenance of industry-specific licenses and certifications (e.g., SOC 2, PCI-DSS, DORA, MiCA/crypto regulations). Manage regular internal/external security audits and executive reporting. 
  To achieve this, you will closely collaborate with:
• External auditors and regulators, acting as the primary technical point of contact and subject matter expert during corporate certification processes and regulatory reviews.
• Legal and data protection team to ensure information security policies strictly map to European GDPR compliance, data privacy laws, and corporate governance standards.
• Managing Directors and Officers within the UK, US, and ES locations to bridge global information security frameworks with local regulatory mandates and licensing requirements.
• Engineering and Product teams to embed security directly into the software development lifecycle and product roadmap. You will collaborate on secure coding practices, vulnerability management, and ensuring that product architectures (especially crypto/wallet features) are secure by design before release.

Team Leadership: 

• Lead, mentor, and scale a high-performing, fully remote security team.
• Foster a culture of accountability and proactiveness.
• Lead all managerial functions in accordance with the company’s policies and procedures (hiring, training, setting goals, appraising performance, budgeting)

Risk & Incident Management:

• Act as the ultimate point of escalation for global security incidents, ensuring proactive threat hunting and rapid mitigation.
• Manage the oversight of technical risk assessments, such as vulnerability scanning, penetration testing, risk reviews for new applications, and third-party risk assessments

Requirements (Must-Haves)

• Experience: Proven track record in a senior security leadership role (CISO, Director of Security, or Head of Information Security) within the Financial Services or FinTech sector.
• Direct experience steering organizations through complex information security audits, certifications, licensing, and international regulatory compliance.
• Demonstrated experience in creating, implementing, and managing group-level security processes and frameworks.
• Exceptional leadership skills with a proven ability to manage remote, distributed teams. Strong sense of ownership, proactiveness, and high responsibility.
• Language: Fluent English with excellent communication and reporting skills; Ukrainian or Russian will be an advantage.
• Location: Must be physically located and legally authorized to work remotely within Europe.
   

Preferred (Nice-to-Haves)

• Hands-on experience in the Cryptocurrency, Web3, or Blockchain industry,understanding specific security vectors (custody, cold/hot wallet security).

We are looking for a Marketing Data Analyst to join the team. The role covers the full acquisition analytics cycle — from validating and consolidating data from the DB, affiliate platforms, and advertising sources to building dashboards, forecasting ROI, and providing recommendations on budget allocation. The position also serves as a point of connection with the Retention team for end-to-end traffic quality assessment.

Requirements

• 4 years of overall analytics experience, including 1-2 years specifically in marketing analytics; experience in performance/affiliate marketing in a high-traffic vertical
• Strong SQL skills: window functions, CTEs, cohort analysis, working with large datasets, and understanding query costs
• Practical experience with BI tools (Tableau is preferred; Power BI / Looker / Metabase are also acceptable)
• Understanding of acquisition unit economics: CPA, CPL, RevShare, Hybrid, ROI/ROAS, LTV, and payback period
• Understanding of attribution and tracking: UTM, postbacks, attribution windows, multitouch vs. last-click attribution
• Python at an automation level: pandas, API data extraction, reconciliation scripts
• Ability to independently trace data back to its source rather than relying on ready-made data marts
  Nice to Have
• Experience with affiliate platforms (Affilka, Referon)
• Experience with Snowflake, dbt, and Airflow
• Experience with LTV/ROI forecasting, cohort models, and survival analysis
• Experience identifying fraudulent or low-quality traffic: bonus abuse, incentivized traffic, source spoofing
• Experience conducting and correctly interpreting A/B tests
• Experience working with retention data and CRM campaigns
• Experience in a multi-brand environment across multiple geos and currencies

Responsibilities

• Analyze the performance of acquired traffic and marketing campaigns by source, partner, and geo
• Analyze and optimize marketing funnels and identify bottlenecks
• Collect, validate, and consolidate data from multiple sources for reporting; own and maintain metric definitions
• Develop and maintain dashboards for different stakeholders
• Automate data collection and analytical processes, moving manual reporting into automated pipelines
• Generate and validate hypotheses to improve traffic ROI and operational efficiency
• Identify anomalies and conversion issues on a daily basis
• Turn raw data into actionable recommendations for budget allocation and decision-making

What we offer:

• Flexible schedule and freedom to choose your work format: remote or from our offices in Kyiv or Warsaw.
• 24 paid vacation days, sick leave, and medical insurance (already available in Ukraine; other locations -  in progress).
• A team where it’s easy to ask questions, learn, contribute, and be yourself.
• Coverage for professional events, training, and certifications.
• Team buildings, birthday gifts, and a community that truly cares.
• Zero business ties with the aggressor country - and we’re proud of that.

A bit of context first

I'm Roman, founder of EducateMe. We build an AI-native LMS that growing US companies use to onboard, train, and upskill their teams, and a second product, Trainio.ai, an AI roleplay and knowledge-hub tool for healthcare teams. Profitable company, a small senior team.

I'm looking for one person to own our content and distribution end to end, with a clear job: make sure that when a buyer asks an AI assistant, Google, YouTube, or Reddit about training software for their kind of company, EducateMe and Trainio are in the answer and described well. You'll build the strategy, run the machine, and own the number.

Why you might want this

• You get the whole thing, not a slice. Strategy and execution, every channel, both products, one owner. You report to the Founder.
• You're early to a channel most companies haven't figured out. In a year, you'll be one of the few people who have actually run AI-search acquisition with numbers to show for it.
• You don't type articles. We built a Claude-based content engine that researches, drafts, and publishes to our CMS. Your time goes to judgment, distribution, and measurement, not word count.
• The tools and people are already in place: Ahrefs with Brand Radar, Peec AI for tracking AI answers, Search Console, Mixpanel, Notion, Sanity CMS, a Reddit agency on retainer, a video producer for YouTube, a designer for visuals, and a CSM who can pull customer stories.

What you'll own

1. Content strategy across every channel.

You decide what we say, where, and how often. That covers the blog on both sites, two YouTube channels plus Shorts, LinkedIn (company page and my personal account), the newsletter, Reddit, our free tools pages, review sites, and the website copy itself. Concretely:

• A quarterly content plan: which topics, for which buyer, in which vertical (healthcare first), and which format each topic deserves.
• The flywheel that turns one idea into many assets: video → article → newsletter section → LinkedIn posts → Shorts → Reddit answer. You define the sequence, the cadence, and who does what (engine, video producer, designer, agency, CSM, me).
• Backlinks and digital PR: industry listicles (eLearning Industry and similar), guest contributions, partner mentions, and the free tools that already earn links for us. Not link-buying. Earned corroboration that AI engines and Google both read.
• YouTube: topics, scripts, thumbnails brief, publishing cadence for both channels, working with our video producer.
• Blog and money pages: comparison and alternatives pages, pricing content, question pages, healthcare use-case pages, case studies. You decide what exists, run it through the engine, add real customer detail, ship, and keep it current.

2. AI search (AEO) as the organizing goal.

Everything above serves one goal: being cited and recommended by ChatGPT, Claude, Perplexity, and Google AI Mode for the questions our buyers actually ask. You'll build and track a set of about 30 "money prompts," understand who gets cited today and why, and shape our on-site and off-site footprint to win those citations.

3. Off-site presence.

Manage the Reddit agency (brief, approve threads, review output), own our G2 and Capterra profiles and the review pipeline together with our CSM, pitch listicles and industry roundups, and keep the YouTube listing-video cadence alive.

4. Measurement.

Monthly money-prompt tracking (citation share and how we're described), organic and AI-referred signups and demos, YouTube and newsletter growth. A monthly "what moved and why" readout to me, in plain language.

5. Sales enablement spillover.

The case studies, one-pagers, and snippets you produce for distribution also go to my deals and to outbound. Same assets, two uses. Nothing gets made twice.

Your first 90 days

• Weeks 1–3: learn the products, sit in on demos, build the money-prompt set and the baseline (who gets cited today, from which sources, why). Get hands-on with the engine, the agency, the review accounts, the YouTube channels.
• Weeks 4–8: write the first quarterly content plan and get it approved. Ship the first healthcare money pages and two case studies. Get Reddit batch review pipeline running. Fix the highest-impression, lowest-click pages on trainio.ai.

• Weeks 9–13: first full monthly readout. Citation-share trend, what moved, what to double down on. From here, the scorecard adds SQL.

   

How we'll judge whether it's working

• Leading: citation share and description accuracy on the money-prompt set, month over month. Plus channel health: YouTube views and subscribers, newsletter growth, organic clicks on both domains.
• Lagging: signups and booked demos from organic and AI-referred traffic.

• We look at it together monthly and adjust. The first quarter is for building the baseline and the machine, not for hitting a pipeline number. After that, yes, the number matters.

   

You'll probably fit if

• You use ChatGPT or Claude every day and have a feel for how AI assistants compose answers and choose what to recommend.
• You've built a content strategy that ran across more than one channel and can show what it produced: traffic, subscribers, leads, revenue. A company channel, your own site, a YouTube channel, a Telegram channel, a newsletter. Scale matters less than the fact that you owned it and it moved.
• You're comfortable in analytics (Search Console, YouTube Studio, Mixpanel, Ahrefs, or similar) and dig for answers yourself.
• Strong written English (C1). You edit well and cut ruthlessly. Prose talent is secondary.
• You genuinely enjoy switching between planning, editing, community, and spreadsheets in the same week.

• Bonus: B2B SaaS, healthcare, L&D or HR tech, a Reddit habit, some on-camera comfort.

   

Probably not a fit if

• You want to write long-form all day, or you measure yourself in articles published.
• You want to set strategy and hand execution to someone else. Here you do both from the very beginning; later, delegate

• You need a big team or a big budget to feel effective. We work lean and use AI as the multiplier.

   

Format

• Full-time, remote, async-first. Reporting directly to the founder, working alongside product, engineering, customer success, and lead generation.
• Salary: $2000–3500/month, negotiable for a strong profile. Paid sick leave and vacation.
• Process: 30-minute intro call → 90-minute test task → 45-minute final call → decision within a week. No homework beyond the task, no five-round loops.

A bit of context first

I'm Roman, founder of EducateMe. We build an AI-native LMS that growing US companies use to onboard, train, and upskill their teams, and a second product, Trainio.ai, an AI roleplay and knowledge-hub tool for healthcare teams. Profitable company, a small senior team.

I'm looking for one person to own our content and distribution end to end, with a clear job: make sure that when a buyer asks an AI assistant, Google, YouTube, or Reddit about training software for their kind of company, EducateMe and Trainio are in the answer and described well. You'll build the strategy, run the machine, and own the number.

Why you might want this

• You get the whole thing, not a slice. Strategy and execution, every channel, both products, one owner. You report to the Founder.
• You're early to a channel most companies haven't figured out. In a year, you'll be one of the few people who have actually run AI-search acquisition with numbers to show for it.
• You don't type articles. We built a Claude-based content engine that researches, drafts, and publishes to our CMS. Your time goes to judgment, distribution, and measurement, not word count.
• The tools and people are already in place: Ahrefs with Brand Radar, Peec AI for tracking AI answers, Search Console, Mixpanel, Notion, Sanity CMS, a Reddit agency on retainer, a video producer for YouTube, a designer for visuals, and a CSM who can pull customer stories.

What you'll own

1. Content strategy across every channel.

You decide what we say, where, and how often. That covers the blog on both sites, two YouTube channels plus Shorts, LinkedIn (company page and my personal account), the newsletter, Reddit, our free tools pages, review sites, and the website copy itself. Concretely:

• A quarterly content plan: which topics, for which buyer, in which vertical (healthcare first), and which format each topic deserves.
• The flywheel that turns one idea into many assets: video → article → newsletter section → LinkedIn posts → Shorts → Reddit answer. You define the sequence, the cadence, and who does what (engine, video producer, designer, agency, CSM, me).
• Backlinks and digital PR: industry listicles (eLearning Industry and similar), guest contributions, partner mentions, and the free tools that already earn links for us. Not link-buying. Earned corroboration that AI engines and Google both read.
• YouTube: topics, scripts, thumbnails brief, publishing cadence for both channels, working with our video producer.
• Blog and money pages: comparison and alternatives pages, pricing content, question pages, healthcare use-case pages, case studies. You decide what exists, run it through the engine, add real customer detail, ship, and keep it current.

2. AI search (AEO) as the organizing goal.

Everything above serves one goal: being cited and recommended by ChatGPT, Claude, Perplexity, and Google AI Mode for the questions our buyers actually ask. You'll build and track a set of about 30 "money prompts," understand who gets cited today and why, and shape our on-site and off-site footprint to win those citations.

3. Off-site presence.

Manage the Reddit agency (brief, approve threads, review output), own our G2 and Capterra profiles and the review pipeline together with our CSM, pitch listicles and industry roundups, and keep the YouTube listing-video cadence alive.

4. Measurement.

Monthly money-prompt tracking (citation share and how we're described), organic and AI-referred signups and demos, YouTube and newsletter growth. A monthly "what moved and why" readout to me, in plain language.

5. Sales enablement spillover.

The case studies, one-pagers, and snippets you produce for distribution also go to my deals and to outbound. Same assets, two uses. Nothing gets made twice.

Your first 90 days

• Weeks 1–3: learn the products, sit in on demos, build the money-prompt set and the baseline (who gets cited today, from which sources, why). Get hands-on with the engine, the agency, the review accounts, the YouTube channels.
• Weeks 4–8: write the first quarterly content plan and get it approved. Ship the first healthcare money pages and two case studies. Get Reddit batch review pipeline running. Fix the highest-impression, lowest-click pages on trainio.ai.

• Weeks 9–13: first full monthly readout. Citation-share trend, what moved, what to double down on. From here, the scorecard adds SQL.

   

How we'll judge whether it's working

• Leading: citation share and description accuracy on the money-prompt set, month over month. Plus channel health: YouTube views and subscribers, newsletter growth, organic clicks on both domains.
• Lagging: signups and booked demos from organic and AI-referred traffic.

• We look at it together monthly and adjust. The first quarter is for building the baseline and the machine, not for hitting a pipeline number. After that, yes, the number matters.

   

You'll probably fit if

• You use ChatGPT or Claude every day and have a feel for how AI assistants compose answers and choose what to recommend.
• You've built a content strategy that ran across more than one channel and can show what it produced: traffic, subscribers, leads, revenue. A company channel, your own site, a YouTube channel, a Telegram channel, a newsletter. Scale matters less than the fact that you owned it and it moved.
• You're comfortable in analytics (Search Console, YouTube Studio, Mixpanel, Ahrefs, or similar) and dig for answers yourself.
• Strong written English (C1). You edit well and cut ruthlessly. Prose talent is secondary.
• You genuinely enjoy switching between planning, editing, community, and spreadsheets in the same week.

• Bonus: B2B SaaS, healthcare, L&D or HR tech, a Reddit habit, some on-camera comfort.

   

Probably not a fit if

• You want to write long-form all day, or you measure yourself in articles published.
• You want to set strategy and hand execution to someone else. Here you do both from the very beginning; later, delegate

• You need a big team or a big budget to feel effective. We work lean and use AI as the multiplier.

   

Format

• Full-time, remote, async-first. Reporting directly to the founder, working alongside product, engineering, customer success, and lead generation.
• Salary: $2000–3500/month, negotiable for a strong profile. Paid sick leave and vacation.
• Process: 30-minute intro call → 90-minute test task → 45-minute final call → decision within a week. No homework beyond the task, no five-round loops.

About the Company

We are a rapidly scaling e-commerce company operating in the physical goods sector, handling large volumes of financial transactions.

We are looking for a Head of Finance who will take full ownership of the company’s financial processes, systematize accounting, build a transparent cash flow management system, and ensure the financial stability of the business.

This role is for someone who does more than just monitor numbers — someone who understands the economics of a product-based business and knows how to build an effective financial system.

Key Responsibilities

• Manage the Finance Department: allocate tasks, establish procedures and regulations, and monitor their execution.
• Maintain and oversee the payment calendar.
• Plan Cash Flow and proactively identify potential cash flow gaps.
• Monitor daily cash balances across bank accounts, sole proprietor accounts, cash registers, and digital wallets.
• Ensure that accounting records match actual cash balances.
• Monitor accounts receivable and accounts payable.
• Prepare management reports, including Cash Flow, plan vs. actual analysis, and cash flow forecasts.
• Analyze expenses and optimize fees, currency conversions, and transfers.
• Negotiate with banks, payment service providers, and currency exchange services to improve financial terms.
• Systematize and automate financial processes and regular reconciliations.
• Identify financial risks and develop solutions to minimize them.
• Contribute to the development and scaling of the company’s financial infrastructure.

Requirements

We are looking for a finance professional with hands-on management experience who:

• Has at least 2 years of experience managing a Finance Department or Treasury function.
• Has experience working in product-based e-commerce.
• Has a strong understanding of cash flows in a product-based business: procurement → inventory → sales → delivery → cash on delivery.
• Is experienced in working with payment calendars and Cash Flow management.
• Understands key metrics such as inventory turnover and tied-up capital.
• Is highly detail-oriented and comfortable working with large volumes of financial data.
• Has strong negotiation skills.
• Is able to make independent decisions and take full ownership of results.

Professional Skills

Advanced Excel / Google Sheets skills:

• Pivot tables
• Data analysis
• Financial modeling

Experience working with the following will be important:

• 1C / BAS
• Online banking platforms
• Payment service providers
• Crypto wallets
• Financial management and accounting systems

A strong advantage: experience building and automating financial accounting and reporting processes from scratch.

What We Offer

• Kyiv, hybrid work format
• Autonomy in decision-making within your area of responsibility
• An opportunity to directly influence financial processes and the company’s development
• Paid vacation and sick leave
• Management support for implementing new solutions and initiatives

We look forward to hearing from you! We’ll be happy to get to know you.

Adtelligent is a global product IT company in the advertising technology industry. We build solutions that help online media companies, digital advertising agencies, and ad networks monetise their websites and apps more effectively. We’re looking for a motivated Content Writer/Editor (Part-time) to join our team and help us tell our story clearly and compellingly.

REQUIREMENTS:

• Experience as an editor or journalist (international desk preferred)
• Knowledge of trends in international journalism, current affairs, and international relations
• Active interest in world events
• Fluent English; knowledge of other languages is a plus
• Experience working with video and text news agencies is a plus
• Ability to present news clearly, quickly, accurately, and engagingly
• High productivity and stress resilience

RESPONSIBILITIES:

• Monitoring international news feeds
• Searching for interesting, exclusive stories from international sources
• Approving topics with management
• Writing short news pieces
• Making edits as needed

NICE TO HAVE:

• Knowledge of foreign languages other than English
• Ability to create videos that capture social media users’ attention
• Understanding of the basics of storytelling/dramaturgy

WE OFFER:

• Employment type: part-time
• Competitive salary
• Friendly atmosphere and goal-oriented colleagues
• Comfortable working space and rest area
• Paid vacation and sick leaves
• Corporate English classes
• Medical insurance

Dream Play is looking for a Product Owner to help shape strong gaming products, lead them from concept to release, and coordinate cross-functional teams.

We are looking for someone who has a strong understanding of iGaming and slot products, is comfortable working in a fast-paced startup environment, adapts quickly to change, and communicates confidently with the CEO and key stakeholders.

Key Responsibilities:

• Define the product strategy and game roadmap;
• Initiate ideas and directions for new games, define key mechanics and product positioning, and develop concepts in detail together with the Game Designer;
• Create GDDs and define requirements for Math, Art, Animation, and Development teams;
• Work with game mathematics, including RTP, volatility, hit rate, bonus frequency, Max Win, jackpots, and RTP breakdown;
• Prioritize the backlog and define tasks, User Stories, and Acceptance Criteria;
• Coordinate the full production cycle of multiple games simultaneously;
• Collaborate with the Art Director to ensure the visual direction aligns with the overall product vision;
• Plan team resources and optimize the production pipeline;
• Control pre-release/release readiness, manage critical bugs, and participate in Go/No-Go decisions;
• Analyze competitors, market trends, and potential GEOs for new products;
• Maintain regular communication with the CEO and commercial team, including presenting concepts and explaining product decisions, priorities, and risks;
• Work effectively in a startup environment characterized by a fast pace, frequently changing priorities, multitasking, and decision-making under uncertainty;
• Demonstrate a high level of resilience and ownership, with the ability to respond quickly to critical product situations;
• Mentor Game Designers, Math, and Art teams and establish consistent product standards.