Jobs

Hey there!

It’s an amazing time to join Digicode as we continue empowering as many innovators as possible to change the world. We deliver outstanding technology consulting, R&D, design, and software development services in the USA, UK, and EU markets. This is where you come in.

We are looking for an Azure Data Architect to own the design and modernization of data platforms that support production GenAI, retrieval-augmented generation (RAG), and agentic AI applications. You will shape AI-ready data architecture, make key design decisions, and work with delivery teams to turn those decisions into reliable solutions.

Requirements:

• Hands-on experience with Azure Cosmos DB.
• Experience designing data platforms that support GenAI or RAG use cases.
• Experience designing AI-ready data architecture.
• A real project in which you designed or contributed to the data architecture supporting a RAG, GenAI, or agentic AI application.
• Strong architecture ownership and the ability to explain and defend design decisions.
• Experience working with both structured and genuinely unstructured data..

Responsibilities:

• Design Azure data platforms and lakehouse architectures for analytics and AI use cases.
• Define how structured and unstructured data is ingested, modeled, governed, and made available to RAG and GenAI applications.
• Own architectural decisions across data storage, processing, integration, and metadata.
• Lead data modeling and data-platform modernization initiatives.
• Collaborate with engineering and AI teams to deliver architecture that works in real applications.

Relevant technical background:

Experience across Azure Synapse Analytics, Azure Databricks, Azure SQL or SQL Server, Azure Data Lake, Azure Functions, lakehouse architecture, data modeling, metadata, and data-platform design and modernization.

What To Expect From Digicode?

• 🌎 Work from Anywhere: From an office, home, or travel continuously if that’s your thing. Everything we do is online. You’re all set as long as you’re in the same time zone as your project colleagues.
• 💼 Professional Development: We offer great career development opportunities in a growing company, international work environment, paid language classes, conference and education budget, & internal 42 Community training.
• 󰩔 Work-life Balance: We provide employees with 18+ paid vacation days and paid sick leave, a flexible schedule, medical insurance for employees and their children, and a monthly budget for things like a gym or pool membership.
• 🙌 Culture of Openness: We’re committed to fostering a community where everyone feels welcome, seen, and heard, with minimal bureaucracy, and flat organization structure.
  And, also, corporate gifts, corporate celebrations, free food & snacks, and play & relax rooms for those who visit the office.
• Our culture is unique, and we live by our beliefs and core values. For more information on what it’s like to work at Digicode, please take a look at our career page.
• We offer official type of employment via GIG-contract.

Did we attract your attention? Send your CV and let’s talk:)

*By submitting your resume, you automatically agree to the storage and processing of your personal data in accordance with the current legislation of Ukraine. We guarantee confidentiality at all stages of cooperation.

Welcome to King Group — a place where the best people from the IT and gambling industries meet to do amazing things together. We operate numerous projects in the iGaming sector in the markets of Ukraine and Tier 1, invest in venture startups.

We are looking for a Head of Business Development (B2B Platform) who will be responsible for acquiring new clients and scaling the partnerships function — from prospecting and closing deals to building long-term relationships with partners.

What you will do:

• Acquire new B2B partners (operators, affiliate teams, investors) interested in launching iGaming products in Tier 1 markets
• Manage the full sales cycle
• Build and manage a pipeline of potential clients
• Present the product as an end-to-end solution for launching and scaling brands
• Develop commercial proposals tailored to partners’ business models
• Lead negotiations at the C-level and close complex deals
• Analyze Tier 1 markets: competition, trends, regulatory and platform constraints
• Leverage client feedback and contribute to product development
• Build long-term partnerships and grow clients post-launch

What we are looking for:

• 3+ years of experience in B2B sales (iGaming, affiliate, fintech, or related regulated / high-risk industries)
• Experience selling complex products or solutions (platforms, white label, performance-based models)
• Understanding of Tier 1 market specifics
• Understanding of user acquisition and monetization models in iGaming
• Strong negotiation and deal-closing skills
• Ability to independently build a pipeline and achieve revenue targets
• English level: Upper-Intermediate or higher

Nice to have:

• Personal network within the iGaming or affiliate industry
• Experience working with White Label solutions in Tier 1 markets

What we offer:

• Work with a real product and have a direct impact on results
• Minimal bureaucracy — fast decision-making and support for strong ideas
• Influence on product and business outcomes, not just task execution
• Freedom in choosing approaches and tools
• Direct collaboration with the business and fast execution of initiatives
• A supportive, results-driven team
• Opportunities to learn and share expertise (mentorship, internships)
• Competitive compensation + full benefits package (health insurance, sports and meal compensation)
• 18 days of paid vacation + additional days off for important life events
• Comfortable office in the center of Kyiv
• Referral bonuses
• Relocation support

About the Role

Our promotional features team is seeking a Senior Backend Engineer. This role is focused on developing and optimizing promotional features for our gaming platforms, where performance, scalability, and cutting-edge solutions are paramount.
If you’re a product-passionate person, your mind is keen to solve deep tech engineering problems, and you have a fast "PoC first" approach with a deep sense of ownership, we would love to hear from you.

Key Responsibilities

• Develop and maintain robust backend systems for our promotional features.
• Optimize existing systems for enhanced performance and scalability.
• Lead technical decisions and contribute to our SaaS solutions.
• Collaborate with distributed teams to innovate and implement new features.
• Ensure code and architectural excellence through reviews.
• Address complex technical challenges with innovative solutions.
• Participating in on-call rotations within the squad to help ensure the reliability and availability of our systems.

Requirments

• Strong proficiency in Node.js and TypeScript (our primary backend stack). We’re also open to strong backend engineers from other ecosystems (e.g., Go, Java, C#, C++) who are ready to ramp up quickly.
• Strong understanding of asynchronous programming and concurrency patterns.
• Experience building distributed systems and working with messaging and coordination tools (e.g., Kafka, RabbitMQ, NATS, distributed locks).
• Experience with gRPC in production environments.
• Solid knowledge of databases: relational (MySQL, PostgreSQL), columnar (ClickHouse), and NoSQL (DynamoDB, MongoDB).
• Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes.
• Skilled in building and maintaining unit and end-to-end tests.
• Proven track record of delivering production-ready solutions.
• Experience working with large-scale microservices architectures.
• Degree in Computer Science or a related field (or equivalent practical experience).

Nice to Have

• Understanding of enterprise development patterns
• Experienced with large-scale microservices architecture
• Experience with cloud providers (AWS, GCP, etc.)
• Active performance observation
• Gambling domain experience
• Understanding of application security and industry standards, its best practice
   

What We Offer

• Competitive Salary
• Quarterly Bonuses
• Unlimited Paid Time Off
• Unlimited Paid Sick Leave
• Remote & Flexible Working
• Private Medical Insurance
• Financial Support for Life Events
• Professional Development Budget
• International Exposure
• Regular Company Events

*Benefits may vary depending on location and contractual agreement
 

Recruitment Process

• HR interview
• Technical interview (with Live coding)
• Final interview

Please take into account that sometimes the process may differ, your TA Partner will keep you updated.

N-iX is a global software development service company that helps businesses across the globe create next-generation software products. Founded in 2002, we unite 2,400+ tech-savvy professionals across 40+ countries, working on impactful projects for industry leaders and Fortune 500 companies. Our expertise spans cloud, data, AI/ML, embedded software, IoT, and more, driving digital transformation across finance, manufacturing, telecom, healthcare, and other industries. Join N-iX and become part of a team where your ideas make a real impact.

At N-iX CTO Group, we harness the power of technology to drive innovation and deliver exceptional business value. We specialize in designing and executing industry-relevant solutions that redefine standards in enterprise technology. Join a vibrant team committed to driving large-scale transformation across global enterprises.

As a Principal Solutions Architect, you will play a key leadership role in shaping technology direction, guiding cross-functional initiatives, and enabling high-impact delivery. You’ll be responsible for leading complex solution engagements, from discovery and advisory to implementation, while mentoring architecture talent, strengthening practices, and contributing to company-wide strategic growth.

This role is ideal for a seasoned architect with strong consulting capabilities, a track record of hands-on project delivery, and the ability to scale architectural impact across multiple teams and accounts.

Key Responsibilities

Strategic & Leadership Responsibilities:

• Lead architecture visioning and cross-cutting strategic initiatives across a portfolio of enterprise clients.
• Drive practice growth by establishing frameworks, methodologies, and reusable assets for solution delivery and consulting engagements.
• Build and mentor architecture and engineering teams, ensuring capability uplift and technical excellence across accounts.
• Act as a trusted advisor to client C-level executives and technology leaders, helping shape digital strategy and technology roadmaps.
• Govern architecture implementation across the portfolio to ensure alignment with best practices, maintainability, and long-term value.

Delivery & Consulting Responsibilities:

• Lead or guide discovery phases, assessments, technical workshops, and architecture audits.
• Translate complex business and technical requirements into scalable, sustainable architectural solutions.
• Own solution proposals during pre-sales and upsales, including technical vision, high-level design, risk management, and cost estimation.
• Lead project execution, ensuring architecture is delivered according to vision.
• Evaluate and adopt emerging technologies, aligning client needs with forward-thinking architectural approaches.
• Act as a Chief Architect and lead a team with subordinate architects on the complex accounts.

Qualifications:

• 10+ years of relevant experience in software engineering and solution architecture.
• 3+ years in an architecture leadership or principal-level role within the IT service / IT consulting environment.
• Proven ability to lead complex, high-impact consultancy engagements with global enterprise clients.
• Demonstrated experience building solutions from scratch, preferably for large-scale distributed systems (team size 30+, duration 12+ months).
• Deep understanding of cloud-native architecture, with hands-on experience in at least two major cloud platforms (AWS, Azure, GCP).
• Strong background in microservices, APIs, integration patterns, and distributed system design.
• Track record of coaching, mentoring, and team enablement within a matrixed or consulting environment.
• Exceptional stakeholder engagement and communication skills—equally comfortable with engineers and executives.
• Fluent in modern delivery practices: Agile, DevOps, CI/CD, Infrastructure as Code, etc.
• English - Upper-Intermediate or Advanced

Desirable Certifications:

• SEI Software Architecture Professional
• TOGAF or similar enterprise architecture certification
• Cloud certifications (e.g., AWS Solutions Architect Associate/Professional, Azure Solutions Architect Expert)
• Domain-specific expertise in areas such as data platforms, security, or enterprise integration is a plus

We offer*:

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

*not applicable for freelancers

We are looking for an experienced and product-minded Lead Data Scientist to drive the evolution of our Data Science function, shape the technical vision, and guide a high-impact team working at the intersection of research and production. This is a unique opportunity to influence strategy, lead cross-functional teams, and build ML solutions that directly power mission-critical business decisions

What You Will Do

• Define and own the Data Science strategy, ensuring alignment with business goals and long-term product vision.
• Shape and maintain the technical roadmap based on business priorities, team capacity, and company growth.
• Scale the Data Science function as the organization expands, designing team structure and hiring profiles.
• Lead, hire, and mentor a cross-functional team of Data Scientists while fostering a strong R&D culture built on rigor and measurable impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads, ensuring clarity and productivity.
• Act as the bridge between R&D and Delivery: translate business needs into research tasks and adapt prototypes into production-ready solutions.
• Architect client solutions by selecting appropriate models, algorithms, and assortment strategies using our ML stack.
• Serve as the quality gatekeeper: review code, validate A/B test designs, and ensure all work meets the team’s Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and recommendation quality.
• Communicate insights clearly to product managers, engineers, clients, and stakeholders, aligning expectations and next steps.
• Represent the company’s technological excellence to investors and partners during high-stakes due diligence.
• Collaborate with clients' Data Science and Analytics teams (including PhDs), explaining methodology, assumptions, and results with confidence.
• Translate complex model outputs into concise, business-oriented presentations for executives and decision-makers.
• Support the sales and pre-sales process by building compelling technical narratives and showcasing ML capabilities.

• Stay hands-on when needed — from debugging critical delivery issues to prototyping new models or designing experiments.

   

What You Have

• 5+ years of experience in Data Science or a related field, with a strong record of delivering production value.
• Strong Python and SQL proficiency, with clean and modular coding practices.
• Hands-on experience with Databricks and Apache Spark.
• Familiarity with Data Mesh principles and collaboration workflows with data engineering teams.
• Solid mathematical foundation, ideally within a Computer Science–related discipline.
• Expertise in scientific Python tools: NumPy, pandas, scikit-learn, and either TensorFlow/Keras or PyTorch.
• Deep understanding of statistical methods and A/B testing frameworks.
• Experience with Time Series Forecasting approaches.
• 3+ years working with tabular and mixed (multimodal) data.
• Bonus: experience in Causal Inference and ecommerce/retail domains.

• Upper-intermediate or higher English proficiency and excellent public speaking skills.

   

Soft Skills

• A strong focus on business impact — understanding not only how the model works but why it matters.
• Ability to translate complex concepts into simple explanations for non-technical stakeholders.
• Professional communication with highly technical client teams, including PhD-level experts.
• Ownership of data requirements, integration workflows, and validation processes.
• Comfort with experimentation, iteration, and decision-making in a dynamic environment.
• Proactivity: contribute DS-driven ideas to the Product Backlog and influence roadmap direction.
• Creative thinking and a pragmatic approach to solving complex technical and product challenges.

• Curiosity, eagerness to learn, and a strong entrepreneurial mindset.

   

You Will Love Working With Us Because

• Innovative ML stack with freedom to choose the best tools and approaches.
• Remote-first culture with the flexibility to work from anywhere.
• Flexible working hours (start between 8–11 AM), no time tracking.
• Regular performance reviews and clear OKR structure.
• In-depth onboarding with transparent success milestones.
• We cover 70% of your training or course fees.
• 20 vacation days, 15 days off, and an additional week of paid Christmas holidays.
• 20 business days of paid sick leave.
• Partial medical insurance coverage.

We are the creators of a new fintech era!

Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.

We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.

Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.

Join us as a Head of Data Platform. 

Requirements:
Education & Experience:

— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher

— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify

— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error

Core Technical Skills — data platform:

— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production

— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset

— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact

— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting

— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on

Core Technical Skills — analytics & applied math:

— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles

— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query

— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself

— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate

Market & Domain Knowledge:

— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime

— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms

— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships

— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders

— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks

— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data

Mindset & Soft Skills:

— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead

— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders

— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates

Responsibilities — Platform:

— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset

— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs

— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace

— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation

— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards

— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships

— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable

Responsibilities:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity

— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap

— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. 

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 22 business days of paid leave.
• Additional days off for national holidays.

We are looking for a talented, experienced, and highly hands-on Agentic Tools Architect to design and modernize business-critical operational platforms and transform them into AI-native, agent-operable systems.

This role combines deep expertise in business systems and operational processes with hands-on engineering, architecture, and agentic AI implementation. The ideal candidate has strong Ruby on Rails experience, understands platforms such as Odoo, Redmine, and GitHub, and has practical experience building AI-agent workflows, integrations, APIs, and automation in production environments.

What You'll Do:

• Own the architecture and feature roadmap for operational platforms, from business-process discovery through design, planning, and implementation.
• Design cross-system workflows and integrations that connect business operations, delivery, support, finance, and engineering processes into a coherent operational platform.
• Design secure, agent-operable interfaces using APIs, MCP servers, webhooks, and automation that allow AI agents to safely read, create, route, and resolve operational work.
• Lead the modernization of legacy business systems, including version upgrades, replacement of manual workflows, and migration away from fragile customizations.
• Architect and develop Redmine plugins and Rails-based extensions, Odoo modules, and GitHub Apps/Actions.
• Build upgrade-safe customizations using clean interfaces, contract-first APIs, testing, and well-defined migration strategies.
• Establish standards for access control, data integrity, observability, testing, and human-in-the-loop controls for AI agents operating in business-critical systems.
• Review architectural and implementation changes, including AI-generated code and agent-authored configurations.
• Availability to work until 2 pm - 3pm US EST.

What We're Looking For:

• 10+ years of experience in software engineering, business-systems architecture, platform engineering, or a related field.
• Expert-level Ruby on Rails experience, ideally including production development or maintenance of Redmine plugins or comparable Rails-based extensions.
• Strong understanding of business processes across operations, delivery, support, finance, and engineering.
• Practical experience with agentic AI development, including MCP, LLM tooling, AI-assisted automation, or agent-orchestrated workflows in production.
• Strong experience designing and building plugins, modules, integrations, and extensions that remain maintainable and upgrade-safe across product versions.
• Strong API and integration design skills, with an understanding of how human workflows, AI agents, and underlying business systems should interact.
• Strong focus on clean, tested, production-grade engineering and reliable systems.
• Experience working with operational platforms such as Odoo, Redmine, GitHub, ERP, ITSM, DevOps, or comparable business-critical systems.

Nice to Have:

• Python and Odoo module development experience.
• Strong PostgreSQL knowledge.
• Experience modernizing or migrating legacy systems across major product versions.
• Experience in SaaS, scale-up, or PE-backed environments.
• Experience working with remote and globally distributed teams.
• Comfortable operating in high-ownership, ambiguous environments where you are expected to design solutions rather than simply implement predefined requirements.

This is a hands-on architecture and engineering role for someone who can bridge business operations, enterprise tooling, software engineering, and agentic AI to build the infrastructure required for AI-driven operations at scale.

We are building a new iGaming project for Canada, Australia and New Zealand and are looking for a Director of Growth to lead player traffic acquisition and drive sustainable growth across these markets.

This is a hands-on leadership role for someone who can build an effective acquisition strategy, identify the right traffic sources and turn them into scalable growth channels.

What you’ll do:
• Develop and lead the player acquisition strategy for Canada, Australia and New Zealand.
• Build and scale traffic sources across affiliate partnerships, paid media, SEO and other relevant channels.
• Identify, test and grow new traffic opportunities, managing budgets and performance against business targets.
• Build relationships with affiliates, media buyers, SEO partners and other traffic providers.
• Negotiate and manage CPA, Revenue Share and hybrid deals.
• Track the full acquisition funnel, from traffic quality and conversion to player value and retention.
• Work closely with product, marketing and analytics teams to improve the player journey and acquisition performance.
• Use data and market insights to guide investment, optimize channel mix and support business growth.

What we’re looking for:
• Proven experience in growth, player acquisition or performance marketing within iGaming.
• A track record of building and scaling traffic acquisition channels.
• Strong knowledge of affiliate marketing and other performance-based traffic sources.
• Experience working with CPA, Revenue Share and hybrid commercial models.
• A data-driven approach to budgets, channel performance and optimization.
• Strong knowledge of Canada, Australia and New Zealand, or other Tier 1 markets.
• The ability to take ownership, move quickly and build in a developing project environment.

If you have successfully grown player acquisition in iGaming and want to shape the growth strategy for a new project, we’d be glad to meet you.

We're looking for a senior qualitative user researcher to join a healthcare product engagement on a freelance basis in October, November, and potentially December. You'll run in-depth interviews and moderated usability sessions with mothers (and some healthcare professionals) from the US and Germany across the discovery and formative-testing phases of a connected-health product.

What you'll do

• Plan and run moderated, in-depth interviews and usability sessions with mothers, including new mothers and mothers of babies in intensive or specialist care.
• Cover both discovery (needs, behaviours, journeys, pain points) and formative testing (comprehension, usability, desirability of prototypes).
• Write discussion guides and screeners, moderate sessions and synthesise findings into clear, actionable insight for the design team.
• Work sensitively with participants on emotionally and medically delicate topics.

You have

• 6+ years in qualitative UX research, ideally in healthcare, femtech, or other regulated or sensitive domains.
• Strong moderation and synthesis skills, and the ability to turn research into design decisions.
• Comfort working in fast, iterative design cycles alongside designers and product teams.
• Fluent English.
• Fluent German and/or ability to travel to Berlin is a strong plus.

Details

• Freelance, project-based, part-time and flexible across the engagement.
• Please share your rate, availability, and a short portfolio or examples of relevant research.

Take full ownership of scaling and transforming the Group’s Accounting function to support rapid global business growth. You will lead a multidisciplinary team of 29 professionals across 4 functional streams — Global Accounting, Global FinOps, Global Payroll, and Global Tax — driving IFRS compliance, financial data accuracy, cross-functional alignment, process automation, and international tax optimization.

Key Responsibilities

• Lead, develop, and scale an Accounting Department of 29+ members across Global Accounting, Global FinOps, Global Payroll, and Global Tax streams.
• Ensure accurate and timely monthly, quarterly, and annual consolidated financial statements under IFRS (multi-currency consolidation, intercompany elimination).
• Develop and implement unified group-wide accounting standards, including global accounting policies, chart of accounts, and methodologies for complex and non-standard transactions.
• Manage the full-cycle Group audit process, including auditor selection and rotation, Audit Plan alignment, resolution of complex technical issues, and monitoring post-audit remediations.
• Prepare regulatory reporting under CySEC requirements and other regulators (FSA, FSC Mauritius, BVI FSC, etc.).
• Monitor and ensure compliance with capital adequacy prudential standards across all existing licenses.
• Maintain an optimal and protected international tax structure, monitor the Group's Effective Tax Rate, defend Transfer Pricing methodologies, and ensure intercompany transactions are fully covered by up-to-date documentation.
• Track changes in tax legislation across all operating jurisdictions.
• Drive continuous improvement, automate accounting workflows and ERP systems, and shorten period-close cycles (Fast Close).
• Provide expert guidance to executive leadership (CEO/CFO) on the accounting and tax implications of strategic business decisions.
• Evaluate risks and support market entry into new regions and jurisdictions.

Requirements

• 7+ years in Accounting 3+ of which as a Head of Accounting, Chief Accountant, or Accounting Team Lead within medium- to large-scale companies.
• Strong hands-on experience in IFRS financial statement preparation and multi-currency consolidations.
• Proven track record in accounting process automation, ERP implementations, and Fast Close methodology (ability to translate business needs into technical specifications for IT).
• Clear understanding of Transfer Pricing principles and intercompany transactions.
• Experience managing full-cycle annual external audits with top-tier audit firms.
• Experience overseeing payroll operations, international contractor payments (B2B), and ensuring tax compliance.
• Proven team leadership experience with a supportive, mentoring-driven leadership style.
• Fluent English (Upper-Intermediate or higher) and Ukrainian languages.
• Full willingness to relocate to Limassol, Cyprus after adaptation period.

Will be a plus:

• Experience managing accounting for non-resident entities, deep knowledge of the Cyprus tax system, VAT, EU financial regulations, and audit requirements.
• Experience in preparing financial regulatory reporting (e.g., CySEC).
• ACCA, CPA, or CIMA certifications (completed or in progress).

We offer:

• Full ownership to scale the accounting ecosystem within a high-growth, profitable global business.
• Opportunity to gain international experience across multiple jurisdictions and participate in new market launches.
• 21 paid vacation days per year.
• 10 paid sick leave days per year.
• Public holidays according to the Cyprus official calendar.
• Comprehensive medical insurance.
• Full relocation package.
• Professional education and development budget.
• Language learning budget.
• Wellness budget (gym membership, sports gear, and related expenses).

ZentixSoft is looking for a Senior Data Solutions Consultant / Solution Architect! 🚀

Format: Project-Based / Hourly Engagement (Remote). 

💡 Why ZentixSoft?

💸 Fair Compensation: Transparent hourly/project-based rates for expert consulting hours.

⚖️ Work-Life Balance: Flexible scheduling tailored around your primary availability.

🦾 Trust & Freedom: Pure professional autonomy with zero micromanagement and no time-trackers.

🎁 Culture & Community: A collaborative environment where your architectural decisions directly drive business outcomes.

🧩 Project & Role Overview:

You will support our technical and presales teams during the discovery and solution design phase of a complex product data management initiative (handling legacy data sources, supplier onboarding, taxonomy, attribute mapping, and multi-system synchronization).

 Discovery & Workshops: Participate in client-facing discovery sessions and technical workshops to unpack legacy architecture and business constraints.

 Architecture Design: Analyze product-data flows, identify systems of record, and distinguish between integration/ETL challenges versus semantic data-mapping issues.

 Roadmap & Strategy: Define realistic target architecture options, phased implementation roadmaps, and potential pilot use cases.

 PIM / MDM & AI Integration: Evaluate approaches for supplier data onboarding, taxonomy harmonization, and assess where AI/LLM automation adds real value vs. deterministic rules/governance.

 Proposal Support: Help formulate solution proposals, architecture diagrams, and technical recommendations for business and technical stakeholders.

🎓 Our Perfect Match (Requirements):

 Domain Experience: 5+ years of hands-on experience in data architecture, system integrations, and solution design.

 PIM / MDM / Product Data Expertise: Strong background in Product Information Management (PIM), Master Data Management (MDM), product taxonomy, attribute mapping, and supplier onboarding.

 Platform Exposure: Experience with platforms such as Akeneo, Salsify, Stibo Systems, Informatica, Contentserv, Pimcore, or inriver (or similar product catalog ecosystems).

 Technical Integration & Data Quality: Familiarity with ERP/PIM/e-commerce integrations, product data standards (e.g., BMEcat), data deduplication, golden-record concepts, and legacy SQL/Access environments.

 Modern Tech Evaluation: Understanding of AI/LLM-assisted data classification and automated mapping techniques.

 Consulting & Communication: Proven experience leading technical workshops with clients, with Fluent / Confident English for client-facing communication.

📍 Engagement Details:

⏳ Format: Project-based / Hourly consulting that can be easily combined with your full time occupation.

📍 Location: 100% Remote.

We look forward to reviewing your profile

CRYPTO TRADER

Hi! We’re GT Protocol — an AI-powered crypto trading ecosystem that helps traders automate and optimize their trading with AI.
 

We’re currently looking for experienced traders to partner with us on AI Hedge Fund — our public experiment exploring how AI models perform when managing investment portfolios.
 

Five leading AI models — Claude, GPT, Gemini, DeepSeek, and Grok — manage separate virtual portfolios and compete across profitability, decision quality, and risk management. We’re also testing a Committee Variant, where each model takes on a specialized role and contributes to a shared investment strategy.
 

We’re looking for traders who can evaluate AI decisions from a real market perspective, identify weaknesses, and help us improve the approach.
 

Format: remote partnership, not traditional employment.
 

What you’ll do:

• Analyze trading and investment decisions made by AI models
• Evaluate their reasoning, risk management, and response to market conditions
• Provide direct, actionable feedback on the strengths and weaknesses of AI decisions
• Compare the approaches of individual models and the Committee Variant
• Suggest improvements for AI Hedge Fund and our trading products
• Test new AI-powered trading features and experimental solutions
• Work directly with the GT Protocol C-Level and product team

What we’re looking for:

• Real-world experience trading crypto markets with proofs
• A well-defined approach to market analysis and trading decisions
• Strong understanding of technical analysis and risk management
• Ability to critically evaluate and challenge trading decisions
• Willingness to share practical expertise and give direct feedback
• Genuine interest in AI, automation, and the future of trading technology

Nice to have:

• Systematic / algorithmic trading experience
• Experience building and backtesting trading strategies
• Experience with trading bots, TradingView, or exchange APIs
• DeFi / CeFi experience
• Your own trading community or active audience
• English for working with an international team

What we offer:

• Financial terms discussed individually based on the format and level of involvement
• Direct access to the GT Protocol C-Level and product team
• A chance to influence the development of AI Hedge Fund and future AI trading products
• Early access to experiments and new features
• The opportunity to work directly with the results and decisions of leading AI model

If you want to be more than just an observer of AI trading and help shape how AI makes trading decisions — fill out the form below 👇🏻

Tell us about your trading experience, specialization, and approach to the market. We’ll get in touch to connect and discuss a potential partnership.

About the Role

We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape — Game Engine.

This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production.

This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios.

You’ll be part of a small, experienced team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness.

If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters — this role will feel like home.

Key Responsibilities

• Own, maintain, and evolve Playson’s Game Engine domain
• Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages.
• Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks.
• Contribute to the development and support of game engines used to run mathematical logic within our platform.
• Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform.
• Work with data structures and protocols that connect game logic with frontend and backend systems.
• Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour.
• Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting.
• Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators.
• Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives.
• Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain.
• Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour.
• Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents.
• Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential.

Requirements

• Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments.
• Strong background in C++ and experience working with legacy C++ systems.
• Good understanding of software architecture, code quality, testing, debugging, and maintainability.
• Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic.
• Experience reviewing complex code and providing clear technical feedback.
• Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected.
• Strong problem-solving skills and ability to work with complex, non-standard technical challenges.
• Experience working with production systems where reliability, accuracy, and correctness are critical.
• Understanding of backend systems, APIs, data flows, and service-to-service communication.
• Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists.
• Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain.
• Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance.
• English communication skills sufficient for working in an international environment.

Nice to Have

• Experience in iGaming, gambling, betting, game development, or casino games.
• Experience working with game engines, mathematical engines, simulation tools, or game logic frameworks.
• Experience with Node.js/TypeScript.
• Understanding of regulated markets and compliance requirements in iGaming.
• Experience with ClickHouse or other analytical/columnar databases.
• Experience with monitoring, alerting, and production diagnostics.
• Experience with AI-assisted code review or automated validation tools.
• Knowledge of microservices architecture and distributed systems.
• Familiarity with Kafka, gRPC, Kubernetes, or AWS.
• Experience integrating third-party games, external studio products, or wrapper-based solutions.
• Ukrainian language skills would be a plus.

What We Offer

• Competitive Salary
• Quarterly Bonuses
• Unlimited Paid Time Off
• Unlimited Paid Sick Leave
• Remote & Flexible Working
• Private Medical Insurance
• Financial Support for Life Events
• Professional Development Budget
• International Exposure
• Regular Company Events

*Benefits may vary depending on location and contractual agreement

By submitting your application, you acknowledge that your personal data will be processed in accordance with our Privacy Policy.

We’re looking for a Chief Executive Officer (CEO) to take full ownership of one of AIBY’s core product groups — up to $70M ARR consumer subscription business — and scale it into its next phase of profitable growth.

Your mission – maximize the Net Profit and Long-Term Value (LTV) of your multi-platform portfolio of apps across iOS, Android, and web by aligning product innovation with data-driven performance marketing.

Unlike a solo founder, you aren’t starting from zero. As a Business Unit CEO, you have:

• immediate access to AIBY’s historical data from 70+ apps to see what works
• centralized Legal, Finance, and HR so you can focus 100% on the product and the users
• significant UA budgets and infrastructure already in place

What you will do:

• P&L Ownership: you’re 100% accountable for the revenue, marketing spend, and operational costs of your unit
• Strategic Roadmap: define the “Why” and the “When”. You decide which features to build based on their projected impact on retention and monetization
• Growth & Monetization: work hand-in-hand with your UA Lead to optimize ROAS (Return on Ad Spend) and Payback Periods. You’ll oversee the subscription funnel, A/B testing, and paywall optimizations
• Cross-Functional Leadership: build, structure, and scale a high-performing team across Product, Growth, Marketing, Engineering, and Design
• Resource/ Capital Allocation Strategy: you have the autonomy to decide where to “bet” your resources. If a specific app in your unit is scaling, you pivot the team’s focus there immediately
• Partnership with the Board and Founders: you’re involved in strategic decision-making at the C-level, with direct impact on business metrics, financial results, and the product ecosystem

What you should have:

• 7+ years of experience in product-based B2C businesses (subscription, mobile/web)
• 3+ years in leadership roles with direct P&L ownership (CPO, CMO, GM, CEO, Product Director, Head of Product, Head of Marketing, etc.)
• Product-Marketing Hybrid expertise: you can speak “Engineering” to the devs and “ROAS” to the marketers. You understand how a product change affects ad performance and vice versa
• Proven 0→1 and scale-stage experience: launching new units, restructuring businesses, scaling early-stage products to meaningful revenue, or founding a startup
• Strong financial acumen: you live in the dashboards. You understand the nuances of cohorts, LTV/CAC ratios, and churn rates in a subscription-based model
• Mentality: ownership, clarity, decisiveness, speed, and persistence
• Entrepreneurial mindset

What we offer:

• Full strategic and operational ownership of a multi-million ARR business unit
• Competitive fixed compensation + performance-based bonus + long-term incentive structure
• The opportunity to scale a category-leading product portfolio into a global market-defining player
• Results-oriented colleagues committed to scaling impactful products. Your team will help you achieve the most ambitious goals
• Remote-friendly work environment with high autonomy and minimal bureaucracy

Location

AIBY is a team of strong international top talents. This role allows for either hybrid (combining in-office and remote work), fully remote or in-office work.

In Competera, we are building a place where optimal pricing decisions can be made easily. We believe that AI technologies will soon drive all challenging decisions and are capable of helping humans be better.

We are now looking for a hands-on Leader who can bridge the gap between advanced research and real-world product delivery. You will be the technical anchor for two streams: S&D (Service & Delivery), ensuring our clients get robust, profitable pricing recommendations, and R&D (Research & Development), guiding the strategy for next-gen algorithms.

What you will do

• Have clear vision and own the strategy of Data Science in the organization.
• Shape the technical roadmap based on business needs, team capacity, and long-term strategy.
• Gradually scale data science function with company growth. 
• Define the hiring profile, lead and mentor a cross-functional team of Data Scientists, and cultivate a high-performing R&D culture focused on scientific rigor and measurable business impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads.
• Act as the main bridge between R&D and S&D: translate business requirements into research tasks, and help the team adapt complex prototypes into stable, production-ready solutions.
• Architect client solutions by selecting the right models and assortment strategies to solve specific business problems using our existing stack.
• Serve as the quality gatekeeper for the team, conducting code reviews, verifying A/B test designs, and ensuring the team hits their Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and the overall quality of price recommendations.
• Communicate clearly with product managers, engineers, and occasionally clients to explain DS trade-offs, present results, and align on next steps.
• Confidently represent the company's technological expertise to investors and partners. You will clearly articulate the Data Science strategy, the core algorithms' defensibility, and the technical roadmap during high-stakes due diligence processes.
• Engage directly with customers' Data Science and Analytics teams (including PhD-level experts). You must be able to confidently explain our methodology, model assumptions, performance results, and address their most technical questions, serving as a critical differentiator during sales and pilot phases.
• Present complex model results, performance metrics, and strategic trade-offs to key stakeholders in a clear, concise, and business-focused manner.
• Support the sales and pre-sales process by building compelling technical narratives that demonstrate our value proposition and deep expertise in the pricing domain.
• Stay hands-on: dive into code and architecture when needed - whether it's designing a new experiment, fixing a critical issue in the delivery pipeline, or prototyping a new idea.

What you have

• 5+ years of experience in Data Science or a related field with a focus on delivering value to production.
• Strong Python and SQL skills, capable of writing modular and readable code for experiments and prototypes.
• Familiarity Databricks data platform and Apache Spark.
• General familiarity with Data Mesh approach and ability to leverage its best practices in collaboration with data engineers.
• Solid mathematical background, preferably in a Computer Science-related field.
• Proficiency in the scientific Python toolkit, including NumPy, pandas, scikit-learn, and either Keras/TensorFlow or PyTorch.
• Deep understanding of statistical testing methodologies, specifically A/B testing design.
• Familiarity with Time Series Forecasting approaches.
• At least 3 years of experience working with tabular and mixed (multimodal) data.
• Expertise in Causal Inference and background in Ecommerce/Retail are strong pluses.
• Upper-intermediate or higher level of English and strong public speaking skills.

Soft skills 

• You care not only about how the model works mathematically but what value it brings to the user and the business.
• Able to translate complex technical concepts into simple business language for stakeholders.
• Able to professionally and clearly communicate with PhD scientists on customer side during the sales process, pilot and rollout.
• Able to own data requirements and build efficient processes to support integration and data engineering with outlining data integration and validation requirements.
• Ready to experiment, pivot, and make data-driven decisions in a dynamic business environment.
• Proactively contribute ideas to the Product Backlog with ideas based on technical knowledge and capabilities.
• Be able to think outside of the box and find simple and elegant solutions to complex problems, including technical, product and processes-related ones.
• Curiosity and a drive to continuously learn within the domain.
• Have a truly entrepreneurial mindset.

You’re gonna love it, and here’s why:

• Rich innovative software stack, freedom to choose the best suitable technologies.
• Remote-first ideology: freedom to operate from the home office or any suitable coworking.
• Flexible working hours (we start from 8 to 11 am) and no time tracking systems on.
• Regular performance and compensation reviews.
• Recurrent 1-1s and measurable OKRs.
• In-depth onboarding with a clear success track.
• Competera covers 70% of your training/course fee.
• 20 vacation days, 15 days off, and up to one week of paid Christmas holidays.
• 20 business days of sick leave.
• We reimburse the cost of coworking.

Drive innovations with us. Be a Competerian.