Remote jobs in Europe

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications and regulatory technologies. 

We are looking for a Media Buying Operations Specialist to join our team!

Requirements:

• Requirements
• At least 1–2 years of experience working with Meta and/or Google advertising infrastructure.
• Strong understanding of the Meta ecosystem, including:
  • Business Manager
  • Ad Accounts
  • Facebook Pages
  • Meta Pixel
  • Custom Conversions and Custom Audiences
  • System Users
  • Meta for Developers
  • Business Verification
• Understanding of the Google Ads ecosystem, including:
  • Google Ads Accounts and Manager Accounts (MCC)
  • Account linking and access management
  • Google Ads conversion tracking
  • Customer Match and audience management
  • Account restrictions and policy enforcement
• Experience working with agency ad accounts and Business Managers.
• Understanding of the full advertising account lifecycle: acquisition, setup, launch, maintenance, rotation, and replacement.
• Hands-on experience creating and managing Meta Pixels, Custom Conversions, and Custom Audiences.
• Experience managing Google Ads infrastructure, including account access, status monitoring, and troubleshooting.
• Understanding of Meta and Google advertising policies, account restrictions, and common reasons for account suspensions.
• Proficiency in Google Sheets and Microsoft Excel, including formulas, filters, and working with large datasets.
• Strong attention to detail and the ability to handle a high volume of repetitive operational tasks.

• Experience maintaining internal documentation and advertising infrastructure inventories.

   

Will be plus:

• Experience in affiliate marketing or media buying; iGaming experience is a strong advantage.
• Hands-on experience with Google Ads Manager Accounts (MCC), Customer Match, and Google Ads Audiences.
• Experience preparing and maintaining advertising account infrastructure for both Meta and Google Ads.
• Basic understanding of tracking platforms such as Keitaro, Binom, or similar solutions.
• Experience with anti-detect browsers, such as AdsPower, Dolphin Anty, Octo Browser, or Incogniton.
• Experience with Meta for Developers, including app creation, System Users, and Access Token generation.
• Basic understanding of API integrations with advertising platforms.
• Experience communicating with agencies, account suppliers, and external partners.
• Understanding of advertising financial operations, including top-ups, spend, agency fees, and account balances.
• Basic knowledge of proxies, domains, DNS, and advertising infrastructure.
• Experience with Google Analytics 4 (GA4), conversion data validation, and audience synchronization.
• Experience with Google Campaign Manager 360 (CM360) and advertising attribution.

Responsibilities:

     Meta Ads Infrastructure

• Procure, verify, warm up, and prepare accounts for launch.
• Manage Business Managers, Fan Pages, access, limits, and restrictions.

• Configure pixels, custom conversions, and audiences.

  Google Ads Infrastructure

• Receive, verify, and prepare accounts.
• Monitor account status, access, limits, and availability.

• Maintain account inventory and coordinate replacements.

  Account Management & Support

• Resolve account issues and manage appeals.
• Track bans, suspension reasons, and account lifetime.

• Ensure account availability for uninterrupted campaign launches.

  Planning & Reporting

• Forecast account needs by campaign volume and GEO.
• Maintain account inventories, CRM records, and status reports.

• Coordinate infrastructure readiness with Media Buyers.

  Financial Operations

• Monitor balances, advertising spend, turnover, commissions, and agency fees.

• Coordinate fund transfers with agencies.

  Tracking & CRM

• Monitor pixel activity, conversion tracking, and audience synchronization.
• Troubleshoot tracking issues with technical teams.
• Maintain accurate account, supplier, access, and infrastructure records.

Our benefits to you:

• Paid annual leave.
• Paid days off.
• RedCore TEAM corporate gamification system.
• Annual corporate events for employees.
• Reimbursement of business travel expenses.
• Flexible working format and start time.
• Employee learning and development system.
• Mentoring program.
• Overtime compensation.
• Referral program with a cash bonus.
• Corporate psychologist.
• Cafeteria benefit system: sports, insurance, language learning (depends on region).

Solid Software is looking for an AI Software Architect/ Senior AI Engineer to design and deliver production-grade solutions powered by LLMs. The role requires deep expertise in architecting, building, and operating complex AI systems: RAG, agentic workflows, tool calling, evaluation frameworks, and observability platforms.

The ideal candidate pairs strong software engineering fundamentals with a track record of shipping real-world AI products. Beyond experimentation, you can design scalable, reliable, and cost-effective LLM solutions that run successfully in production, with a solid grasp of modern AI architecture patterns, prompt engineering, retrieval systems, and agent orchestration.

What will you do?
 

• Own the architecture of AI-powered services and ensure their effective integration with backend, mobile, and web applications.
• Design, build, and maintain production-grade LLM applications using modern AI frameworks and orchestration platforms.
• Lead technical design reviews and drive architectural decisions across AI services, backend systems, data pipelines, and cloud infrastructure.
• Design and implement agentic workflows involving tool use, function calling, multi-agent systems, planning, memory management, and reasoning chains.
• Design and optimize RAG architectures using vector databases, embeddings, document processing pipelines, and retrieval optimization techniques.
• Establish evaluation frameworks to assess AI quality, reliability, latency, cost, and business impact, including benchmarking and automated quality assessment.
• Implement AI observability and monitoring using tools such as Langfuse, LangSmith, OpenTelemetry, and similar platforms.
• Optimize prompts, retrieval strategies, model selection, and system architecture to improve accuracy, performance, reliability, and cost efficiency.
• Design scalable APIs and services that expose AI capabilities to internal and external applications, and deploy them on cloud platforms, primarily Google Cloud Platform (GCP).
• Collaborate with software engineers, data scientists, product managers, and domain experts to translate business requirements into practical AI solutions.
• Define AI engineering standards, best practices, and governance processes to support the development and maintenance of reliable AI systems.
• Mentor engineers working on AI initiatives and contribute to architectural decisions and technical direction.
• Document AI architectures, workflows, evaluation methodologies, and operational procedures to ensure maintainability and knowledge sharing.

Requirements:
 

• 10+ years of software engineering experience, including 5+ years building LLM-based and generative AI solutions in production.
• Upper-Intermediate English (B2 or C1) for comfortable verbal communication within an international team.
• A Master's degree in Computer Science, Artificial Intelligence, Machine Learning, Software Engineering, or a related field.
• Strong Python development experience and software engineering fundamentals.
• Hands-on experience with AI orchestration frameworks such as LangGraph, LangChain, LlamaIndex, CrewAI, or equivalent technologies.
• Practical experience designing and implementing agentic systems involving tool use, function calling, planning, memory management, and multi-agent workflows.
• Strong expertise in RAG architectures, vector databases, embeddings, prompting strategies, context management, and retrieval techniques.
• Experience with AI evaluation and observability tools such as Langfuse, LangSmith, or similar platforms, including benchmarking, monitoring, and automated quality assessment.
• Experience working with structured and unstructured data pipelines and databases, including PostgreSQL, vector databases, and document stores.
• Production deployment experience with Docker, Kubernetes, cloud platforms, and CI/CD pipelines.
• Ability to evaluate architectural trade-offs involving model performance, latency, reliability, maintainability, and cost.
• Strong communication, technical leadership, and mentoring skills, with the ability to collaborate effectively across engineering, data, and product teams.
• Experience with mobile application development or architecture is a strong advantage.

Nice to have:

• Experience working with commercial and open-source models, including OpenAI, Anthropic, Gemini, Llama, and Mistral, as well as fine-tuning techniques.
• Experience in regulated, privacy-sensitive, or high-availability environments.
• Experience integrating AI capabilities into mobile and web applications.
• Familiarity with synthetic data generation and model optimization techniques.

Why Solid Software?

• We support Ukraine; 
• A wonderful team of enthusiasts and like-minded people;
• Atmosphere of comfortable work & life balance;
• Flexible schedule and work-from-home opportunity;
• Opportunity to work on projects with different directions (web, mobile, tablet, watch, desktop);
• MacBook Pro and great tech;
• Decent compensation;
• Lack of bureaucracy;
• Compensation for professional events, sports activities;
• Corporate online parties and fun team-buildings;
• Anniversary and birthday presents.

Professional growth:

• Onboarding and mentorship program with a dedicated onboarding guide built by our team;
• Internal Career Path program from Developer to Architect that consists of knowledge areas for IT specialists, books, training sessions, and work activities;
• Corporate library with the best programming books (+ an ability to order a particular book if we don't have it);
• Professional and constant feedback.

We truly value the unique talents and skills that each individual brings to our company. As we continue on our journey of growth, we eagerly anticipate the opportunity to welcome you into our team. 

Apply now and help us shape what comes next!

We're looking for a Senior Transformation Strategist to join a fast-growing AI company as the bridge between enterprise executives and an AI operations platform. You'll work directly with COOs, CFOs and operations leaders at major retail and CPG brands. Your job is to find and size the trapped value in their operational data, then turn it into a clear roadmap the platform delivers against. The role suits someone trained at a top-tier consulting firm who has owned real numbers in short, high-stakes cycles such as due diligence, value creation or portfolio operations. You'll combine executive advisory, commercial ownership and hands-on problem-solving, without a partner in the room. It's a rare chance to bring consulting-grade rigour into a product company and shape how AI changes enterprise retail operations.

Details:

• Schedule: Full time
• Location: Hybrid (London office + 3–4 days/week of travel to client sites) or remote in EU
• Start: ASAP
• Duration: Long-term
• English: Fluent

About the project:
The company is a freshly funded Series A startup of about 70 people building an AI operations platform for enterprise retail and CPG brands. Its AI agents work inside clients' operational workflows, automating decisions and unlocking value hidden in complex operational data. After building a strong customer base in Europe, the company is now expanding into the US market. The team combines AI engineering with deep commercial and operational know-how, and this role sits right where the two meet. The culture is fast-moving and builder-oriented, with short decision cycles and a real chance to shape strategy as the company scales.

You have:

• A top-tier consulting background (ideally McKinsey, BCG or Bain), with at least 2 years at Engagement Manager, Project Leader or Principal level
• At least 4 projects in the Retail or CPG domain
• A track record of owning a number (revenue, margin, cost or working capital) in short, high-stakes cycles such as due diligence, value creation or portfolio operations
• Proven commercial and sales skills, including authority-based selling to C-level executives (COOs, CFOs) without a partner present
• Strong executive communication and boardroom presence
• Strong business case modelling and the ability to structure messy data and do the maths live
• Willingness to travel to client sites 3–4 days a week

Nice to have:

• Experience with PE-backed portfolio operations
• Earlier hands-on years inside a retailer or grocer (category, trading, merchandising or supply chain, owning SKUs, suppliers or a P&L line) before moving into consulting
• A builder's streak: a product, startup or operating role you built outside of work
• Daily use of AI tools, with a view on why you pick particular models for particular tasks
• Background at firms like AlixPartners, Alvarez & Marsal, QuantumBlack, Palantir or Celonis

What to do:

• Work directly with customer executives to understand their operations and priorities
• Identify, size and prioritise the trapped value in clients' operational data and workflows
• Build business cases and turn opportunities into a clear, value-driven roadmap for the AI platform
• Own executive relationships and run commercial conversations, including selling to C-level leaders
• Lead short, high-stakes problem-solving cycles from diagnosis to recommendation to measurable impact
• Expand accounts by finding the next set of workflows to automate after the first wins
• Work with product and engineering teams so customer insights shape the platform roadmap
• Drive change management with client stakeholders so the solutions get adopted and keep delivering value
• Support the company's US expansion by building trusted relationships with new enterprise customers

Full Stack Developer (React/TypeScript/Go/Python)
 

Rate: Up to $20/hour
 

Frontend Tech Stack

• React 19 with TypeScript (strict mode), using Vite as the build tool.
• Tailwind CSS v4.
• shadcn/ui ("new-york" style with CSS variables), based on Radix primitives and Lucide icons.
• TanStack Router for navigation, TanStack Query for server-state management, and Zod for data validation.
• assistant-ui and Streamdown for building chat interfaces and streaming UI functionality.
• Testing tools: Vitest and Testing Library for unit tests, Playwright for end-to-end testing.
• Development tooling: pnpm, ESLint (including rules for enforcing import boundaries), and Prettier.
   

Backend

The backend is mainly developed in Go, with additional services written in Python.
 

Overall Technology Stack

Go, Python, PostgreSQL, Redis/Valkey, React 19 + TypeScript, GCP, Terraform, Docker, and Datadog.

Senior Full Stack Developer (Python/TypeScript)
 

English: B1+
Rate: Up to $20/hour
Employment: Full-time
Duration: 6-8 months
Start: In 2-3 weeks
 

About the Project

A rapidly growing SaaS startup focused on transforming the professional services sector through AI-driven software that streamlines complex workflows involving documents, search, and matter management.
 

Responsibilities

• Take independent technical ownership of complex product and infrastructure features, from architecture and design through deployment.
• Develop and improve AI-powered workflows, including LLM agents, document processing, and tool calling.
• Architect reliable backend services, APIs, data flows, queues, and integrations with third-party systems.
• Investigate and troubleshoot complex production issues across the full stack using logs and tracing.
• Leverage AI development tools such as Claude Code, Cursor, and Codex in daily work to improve engineering efficiency and delivery speed.
   

Requirements

• 7+ years of commercial software engineering experience.
• Strong knowledge of Python with FastAPI (or comparable frameworks) and TypeScript with React.
• Advanced SQL skills and experience designing database schemas, ideally with PostgreSQL.
• Solid understanding of cloud platforms (Azure, AWS, or GCP), Docker, and CI/CD workflows.
• Strong architectural expertise in building reliable asynchronous systems, APIs, workers, and queues.
• Practical experience implementing and maintaining production LLM functionality, agents, prompt workflows, and RAG/search solutions.
• Hands-on experience with monitoring, metrics, observability, and tracing tools such as Datadog, PostHog, Langfuse, and OpenTelemetry.
• Demonstrated ability to independently deliver production-ready solutions from start to finish.

Department/Project Description

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


Job Description

Essential qualifications

• MSc or PhD in NLP, information retrieval or machine learning with publications, or equivalent industry research experience.
• 5+ years of applied ML, with models in production use.
• Deep experience fine-tuning transformer encoders with PyTorch and Hugging Face.
• Multi-label and imbalanced classification, probability calibration and threshold optimization.
• Learning from user feedback: learning-to-rank, active learning, bandit/exploration methods or counterfactual evaluation.
• Rigorous experiment design and statistical analysis.

Desirable qualifications

• ModernBERT or other long-context encoder models.
• Multi-stage ranking or recommender systems.
• LLM post-training (SFT, LoRA, DPO), reward or judge models, and reranker or embedding fine-tuning.
• Vertex AI Training and Pipelines.
• Experience in security, threat intelligence or fraud.

Job Responsibilities

Key responsibilities

• Fine-tune, evaluate and calibrate ModernBERT for multi-label alert classification and high-recall shortlisting.
• Design the two-stage triage cascade: model thresholds, the hand-off to the LLM, and how each stage is measured.
• Convert analyst feedback into training data through label cleaning, active learning and defined retraining criteria.
• Correct for selection bias through exploration sampling of rejected alerts and counterfactual evaluation.
• Design the dynamic few-shot strategy:
  how decision points are represented
  how examples are selected
  how conflicting or stale human decisions are handled.
• Define the feedback and reward schema with the Lead Agent Engineer.
• Set offline and online evaluation, and review retrained models before production promotion.

GlobalLogic takes an opportunity to partner with a leading global threat intelligence platform to design and deliver an enterprise-scale, Human-in-the-Loop (HITL) AI agent platform. The initiative centers on accelerating expert analyst decision-making by augmenting high-complexity threat intelligence workflows with cutting-edge generative and agentic AI systems.


ONLY FOR CANDIDATES LOCATED IN POLAND, ROMANIA, OR UKRAINE


Job Description

Essential qualifications

• 7+ years of software engineering, including 2+ years building LLM applications in production.
• Production agent systems built with LangGraph, Google ADK / Vertex AI Agent Engine or custom orchestration.
• Hands-on MCP experience, especially the client side: tool routing, authentication and transports (HTTP/SSE).
• Expert asynchronous Python and strong distributed-system design.
• Has taken agents from prototype to production and measured their quality with real users.

Desirable qualifications

• A deep-research or multi-step retrieval agent built and shipped.
• A2A protocol, OpenTelemetry tracing for LLM systems, and GCP (Cloud Run, Pub/Sub, BigQuery).
• Previous technical lead of a team of 4–8 engineers.

Job Responsibilities

Key responsibilities

• Design and build the Shared Foundation:
  agent runtime and orchestration
  MCP client and tool layer
  state and memory
  tracing
  evaluation hooks.
• Instrument every agent decision point (situation, options, choice and later human reward) as the basis for feedback learning.
• Build the deep research agents: planning, iterative search across internal and external sources, synthesis, citation grounding and context management.
• Set engineering standards, lead code review and mentor the team.
• Work with the Solution Architect on security, multi-tenancy and enterprise integration.

Job Description
Implement the platform capabilities that enable disparate data sources to be combined, virtualized, standardized, and exposed through a consistent access model without requiring extensive physical consolidation.

Experience with technologies and platforms such as

• Microsoft Fabric, OneLake, Synapse, Azure Data Lake, Purview
• BigQuery, BigLake, Dataplex
• Athena, Redshift Spectrum, Lake Formation, Glue
• Data virtualization, federated query, semantic layer, or data fabric platforms
• Strong Python

Job Responsibilities

• Implementing data virtualization and federation capabilities
• Building federated query services
• Developing semantic and abstraction layers
• Creating reusable APIs and access services
• Performance tuning, scalability, reliability, and operational support
• Contributing to platform design and technology decisions through hands-on expertise

Department/Project Description
Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, these hires are expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Performa is an international HR agency connecting top talent with ambitious companies across iGaming, IT, and Marketing. We help businesses build strong teams and professionals find opportunities where their expertise can make a real impact.

For our client, we are looking for an experienced Operations & Marketing Lead (B2B) to take ownership of B2B demand generation, marketing operations, and go-to-market execution.

Our client is an innovative technology company developing an all-in-one SEO infrastructure management platform for iGaming operators. The platform combines real-time keyword ranking tracking, domain and redirect automation, ban detection, and instant website and satellite building into a single operational environment.

As the company scales its go-to-market activities, this is an opportunity for a hands-on marketing professional to build a predictable B2B pipeline and directly contribute to business growth.

About the Role

As Operations & Marketing Lead, you will take ownership of the end-to-end B2B marketing pipeline, from identifying potential clients and generating qualified demo calls to lead nurturing, CRM management, and performance reporting.

This is a highly hands-on role that combines strategic thinking with practical execution. You will build marketing processes, develop acquisition channels, strengthen the company's market positioning, and ensure effective coordination between Product, Development, and Sales.

You will work closely with the founders and technical teams, translating complex product capabilities into clear messaging that resonates with iGaming operators.

What You'll Be Responsible For

B2B Pipeline & Lead Generation

• Build and manage the end-to-end B2B lead generation pipeline, targeting iGaming operators and relevant decision-makers.
• Develop and execute inbound and outbound marketing initiatives to consistently generate qualified leads and demo calls.
• Identify target accounts, develop outreach approaches, and support lead nurturing throughout the sales funnel.

• Monitor conversion rates and optimize acquisition activities to improve pipeline performance.

   

CRM & Marketing Operations

• Own CRM setup, maintenance, segmentation, automation, and reporting.
• Build structured lead management workflows to ensure accurate tracking and timely follow-ups.
• Maintain CRM data quality and visibility across the marketing and sales funnel.

• Identify opportunities to automate repetitive processes and improve operational efficiency.

   

LinkedIn Strategy & Outreach

• Develop and execute the company's LinkedIn strategy, combining organic content and targeted outbound activities.
• Strengthen the company presence and support founder and team visibility on LinkedIn.
• Build targeted outreach campaigns focused on relevant B2B decision-makers.

• Track LinkedIn engagement, lead generation, and meeting conversion performance.

   

PR, Brand Positioning & Thought Leadership

• Develop and execute PR initiatives to strengthen the company's positioning within the iGaming SEO market.
• Build relationships with relevant industry media, communities, and professional networks.
• Coordinate thought-leadership content and initiatives that demonstrate the company's expertise.

• Ensure consistent product messaging and brand communication across marketing channels.

   

Cross-Functional Coordination

• Act as the operational link between Product, Development, Marketing, and Sales.
• Translate technical product capabilities into clear, commercially relevant messaging.
• Collect market feedback and communicate customer needs and insights to product teams.
• Support Sales with relevant materials, product information, and messaging.

• Coordinate cross-functional activities to keep marketing initiatives aligned with business priorities.

   

Performance Tracking & Reporting

• Track marketing funnel performance, lead quality, conversion rates, and channel effectiveness.
• Build clear reporting processes and dashboards to evaluate marketing activities.
• Identify bottlenecks and improvement opportunities across the acquisition funnel.

• Provide management with actionable insights and performance updates.

   

What We're Looking For

• Proven hands-on experience in B2B marketing, with direct responsibility for building and managing lead generation pipelines.
• Demonstrated success in generating qualified leads and demo calls and moving prospects through the sales funnel.
• Strong practical experience with CRM platforms, marketing automation, lead segmentation, and performance reporting.
• Experience developing and executing LinkedIn organic marketing and outbound outreach strategies.
• Practical experience with PR, brand positioning, and thought-leadership initiatives.
• Ability to independently plan, launch, manage, and optimize marketing activities without relying on a large team.
• Strong operational and analytical skills, with a structured and results-oriented approach.
• Experience collaborating with Product, Development, and Sales teams.
• Ability to understand technical products and communicate their value to a B2B audience.

• Excellent written English and Ukrainian communication skills.

   

Nice to Have

• Previous experience in B2B iGaming marketing, particularly working with casino operators or related technology providers.
• Experience marketing SaaS platforms, SEO technology, or other technical B2B products.
• Hands-on experience with SEO tools such as Semrush, Ahrefs, Google Search Console, or similar platforms.
• Understanding of SEO infrastructure, including domains, redirects, satellite websites, indexing, and ban detection.

• Familiarity with the iGaming operator ecosystem and relevant industry communities.

   

The Company Offers

• Competitive compensation, depending on experience.
• Remote-friendly working environment.
• Opportunity to build and own the company's B2B marketing and go-to-market processes.
• Direct collaboration with founders, Product, and Engineering teams.
• High level of autonomy and ownership over marketing initiatives.
• Opportunity to work with a specialized SEO technology platform in the fast-growing iGaming industry.
• A dynamic environment with short decision-making cycles and a strong focus on execution and measurable results.

Own your future

Our culture isn’t something people join, it’s something they build and shape. We believe that every person deserves to be heard and empowered. If you’re on the fence about whether you’re a fit, we say go for it. Let’s build something great together.

We are hiring a Lead Rust Engineer to own the technical direction and build the service and API layer of a next-generation data platform for one of our clients. The immediate work is backend services and APIs, including moving existing client integrations onto a new API surface and building out a Rust service layer.

The new services we are building are in Rust, with some C# in the mix, while parts of the current platform still run on Ruby. We need a hands-on technical leader who is comfortable across that landscape and picks up new pieces quickly.

‍

Key responsibilities

• Set technical direction, priorities and engineering standards.
• Own architecture and API design decisions for the new service layer and the migration path from legacy systems.
• Design, build and maintain backend services and APIs, with Rust as the primary language.
• Develop and extend the Rust service layer that sits at the core of the new platform.
• Migrate existing clients, written in C# and Ruby, from the current API surface to the new one with minimal disruption.
• Work in the existing Ruby codebase where needed while the platform moves to the new architecture.
• Contribute to API design, versioning and contracts so consumers can adopt new endpoints cleanly.
• Support data synchronization work through delivery, helping get it across the finish line.
• Write well-tested, observable, production-ready code and set the bar for code quality through reviews.

• Partner closely with client engineering leads and the wider Transcenda team.

   

Must have

• 8+ years of backend engineering experience building services and APIs in production, ideally 2+ years in a tech lead role.
• Hands-on commercial experience with Rust, including async services (for example Tokio, Axum or Actix).
• Working knowledge of Ruby, enough to read, maintain and safely change an existing Ruby codebase (using code assistants).
• Strong API design skills: REST and/or gRPC, versioning, backward compatibility and client migration.
• Solid grounding in relational databases, SQL and service-to-service integration.
• Experience with testing, CI/CD and observability for backend services.
• Proven ability to ramp up quickly on unfamiliar codebases and languages, and to bring a team along with you.
• Experience driving agentic coding practices across a team: setting guidelines, defining review standards for AI-generated code, and helping engineers use these tools effectively and safely.

• Clear written and spoken English and comfort working directly with client engineering leads.

   

Nice to have

• C# / .NET experience, particularly on API clients or services.
• Prior work on API platform migrations or strangler-pattern rewrites.
• Exposure to metadata management or data synchronization systems.
• Data engineering or ETL experience.
• Background in regulated industries.

About the Role

We are looking for an Accountant to handle the company’s recurring accounting tasks, statutory reporting, payments, payroll calculations, and financial document processing.

The role covers accounting for Ukrainian legal entities and FOPs, preparation of documents for external accountants supporting our UK and German entities, and routine accounting operations in 1C and QuickBooks Online.

We expect this person to take ownership of recurring financial processes, maintain accurate records, monitor bank balances and overdue payments, and promptly notify the CEO of discrepancies or issues requiring management attention. The role focuses on operational execution and financial data accuracy, while budgeting, financial analysis, and management decisions remain the responsibility of the CEO.

Responsibilities:

Accounting & Tax Compliance:

• Maintain accounting records for Ukrainian legal entities and ФОП, ensuring accurate recording of income, expenses, and transactions.
• Process and archive primary accounting documents, bank statements, and other supporting records in 1C; reconcile accounts and resolve discrepancies.
• Calculate taxes, arrange tax payments, and prepare and submit statutory financial, statistical, and tax reports.
• Maintain up-to-date accounting records and coordinate document requests with external accountants supporting the company's UK and German entities.

Payments, Invoicing & Financial Documentation:

• Maintain the payment register, track payment deadlines and bank balances, and process supplier invoices, tax payments, and Payoneer/Stripe transfers according to approved limits and procedures.
• Prepare and issue client invoices, acts of services rendered, and other financial documents; coordinate signing through Vchasno and maintain the document archive.
• Reconcile invoices and payments, monitor outstanding balances, and follow up on overdue payments and missing documents.
• Process ФОП contractor payments based on signed agreements and financial terms provided by HR.
• Handle routine banking operations, foreign currency transactions, and documentation required for international payments.
• Notify the CEO of payment limit exceedances, discrepancies, or issues requiring management attention.

Payroll & Compensation Administration:

• Calculate employee salaries, ФОП contractor payments, taxes, and bonuses based on approved rules and verified data.
• Prepare payroll registers and payment schedules and process payments according to established approval procedures.
• Process AttendanceBot data and account for vacations, sick leave, and other relevant absences.
• Coordinate with HR and relevant managers to clarify missing payroll inputs and maintain accurate supporting records.

QuickBooks & Financial Reporting:

• Maintain and reconcile financial records in QBO, including bank transactions, expenses, project revenue, and platform fees.
• Record Billable and Non-Billable project hours based on data confirmed by project owners and generate client invoices in QBO.
• Enter and reconcile data in existing P&L, Balance Sheet, and Cash Flow templates using established procedures.
• Perform monthly reconciliations and routine period-end closing tasks.
• Prepare accounting data for quarterly and annual reporting.
• Participate in inventory checks of company assets and liabilities and suggest improvements to accounting workflows and documentation.

Requirements:

• Relevant education in Accounting, Finance, Economics, or a related field.
• Hands-on experience with day-to-day accounting for Ukrainian legal entities and ФОП.
• Strong knowledge of Ukrainian accounting, taxation, and statutory reporting requirements.
• Hands-on experience with 1C or a comparable accounting system.
• Experience with payroll, contractor payments, tax calculations, invoicing, and payment processing.
• Understanding of banking operations, foreign currency transactions, and international payments.
• Strong attention to detail, accuracy, and ability to manage recurring tasks independently.
• Ability to prioritize tasks, meet deadlines, and coordinate with internal and external stakeholders.
• Experience working with Excel or Google Sheets for accounting and reporting.
• Basic written English for working with financial documents.

Will Be a Plus:

• Experience in an IT outsourcing, outstaffing, or other service-based company.
• Experience with QuickBooks Online (QBO), including transaction processing and reconciliations.
• Experience supporting multiple legal entities or coordinating with accountants in the UK and Germany.
• Familiarity with Upwork, Stripe, Payoneer, and other international payment platforms.
• Experience with Vchasno and improving accounting workflows.

We Offer:

• Remote work and a flexible working schedule.
• The opportunity to take ownership of the company's operational finance processes.
• Direct collaboration with the CEO and relevant internal stakeholders.
• Paid sick leave, vacation, and days off according to company policy.
• Opportunities for professional development as the company evolves.

We’re looking for a Senior Data Scientist who can take a data problem from an initial business question to a solution that works in production.

This role is not only about building models. We’re looking for someone who is comfortable exploring imperfect data, challenging assumptions, choosing the right approach for the problem, and working closely with engineers and product teams to turn experiments into reliable solutions.

What you’ll work on:

• Explore and analyze complex datasets to understand patterns, dependencies, and opportunities.
• Turn business and product questions into well-defined data science problems.
• Design, train, evaluate, and improve machine learning and statistical models.
• Work on the full ML lifecycle: data exploration, feature engineering, experimentation, validation, deployment, and monitoring.
• Decide when an ML model is actually needed — and when a simpler statistical or analytical approach will do the job better.
• Define meaningful metrics and design experiments to measure the impact of proposed solutions.
• Work with Data and ML Engineers to bring models into production and keep them reliable over time.
• Investigate model performance, data quality issues, drift, and unexpected production behavior.
• Present findings and recommendations in a way that is useful to both technical teams and business stakeholders.
• Help shape our data science practices through code reviews, technical discussions, and mentoring.

What we’re looking for:

• 5+ years of hands-on experience in Data Science or Machine Learning.
• Strong Python skills and practical experience with Pandas, NumPy, scikit-learn, or similar tools.
• Strong foundation in statistics, probability, and machine learning.
• Experience working with real-world datasets where the data is not always clean, complete, or perfectly structured.
• Confident SQL skills.
• Experience building ML solutions beyond notebooks and prototypes.
• Good understanding of model validation, experimentation, feature engineering, and performance evaluation.
• Experience with production ML workflows and familiarity with MLOps practices.
• Experience with AWS, GCP, or Azure.
• Ability to explain technical decisions, trade-offs, and results clearly.
• English — Upper-Intermediate or higher.

It would be a plus if you have:

• Hands-on experience with LLMs / Generative AI, NLP, recommendation systems, forecasting, or computer vision.
• Experience with PyTorch or TensorFlow.
• Experience with tools such as Spark, Databricks, Snowflake, MLflow, or Airflow.
• Experience designing A/B tests and working with product experimentation.
• Experience mentoring other Data Scientists or taking ownership of technical decisions.

🧴 About Kleem Organics

Kleem Organics is an established Amazon skincare seller now building a full DTC growth model on Shopify. The model is built around one hero acquisition product, the Kleem Organics Retinol Cream. We’re looking for a hands-on growth operator who will turn this single product into a scalable, profitable acquisition engine.

This is a long-term position for someone who wants to grow with the company. As the brand scales, there is real potential to move into a more senior role or to switch to an exclusive full-time collaboration.

👥 Our Current Team

Here is what the team looks like today:

• An email marketing agency
• A Shopify data and CRO analyst
• A part-time designer

That’s all we have on the marketing side. There is no large internal team, which means real autonomy and real impact for you.

🎯 The Mission

Take the Retinol Cream from ~$300K/year to $10M/year on Shopify within 2 years.

You will own the entire funnel:

Creative → Acquisition → Conversion → AOV → Retention → LTV → Profit

You are accountable for profitable growth, not just platform ROAS. This is not a “run some ads” role. It’s a part-time Growth/Performance Manager seat where positioning, creative strategy, paid acquisition, CRO and profitability all sit with you.

📊 Numbers Are Your Language

• You think in unit economics, contribution margin, LTV and CVR
• You make decisions based on profit, not on what the ad platform reports
• You are comfortable in spreadsheets and dashboards, and you read the data before you touch the ad account

🎨 Creative Is Half the Job

• Own the full creative testing process: angles, hooks, concepts and messaging
• Own the UGC strategy end to end: creator search and sourcing, briefs, and feedback
• Identify winning creatives and iterate on them systematically
• Understand our customer deeply: their pains, desires, objections, purchase triggers and the transformation they want
• Keep improving positioning, pricing, bundles, Subscribe & Save, promotions, guarantees, upsells and cross-sells

⚡ Paid Acquisition & CRO

• Personally own and manage Meta Ads (Google Ads is a plus, not required)
• Own the full journey from ad click → landing page → checkout → purchase
• Improve CVR and AOV continuously through structured experimentation

✅ What You Bring

• 2–3+ years of proven hands-on DTC/Shopify growth experience
• Beauty/skincare and/or supplements experience
• Deep understanding of Shopify economics, profitability and unit economics
• Personally managed paid-media budgets of $30K+/month
• Strong Meta Ads expertise with hands-on campaign management
• Proven CRO, landing page and full-funnel optimization experience
• Experience building UGC/creator sourcing and testing systems
• Strong understanding of retention, LTV and profitable growth
• Ability to work independently
• English B2+

➕ Nice to Have

• Google Ads experience
• Familiarity with Claude / Claude Code

🤝 Working Terms

• Part-time to start: 15–20 hours/week
• 100% remote
• Long-term contract with opportunities to grow into more senior roles
• Opportunity to switch to an exclusive full-time collaboration in the future as the business scales
• One product focus, with no broad portfolio management

💰 Compensation

• Base salary
• Quarterly bonus: 5% of Meta Contribution Profit above an agreed baseline

The more profit you create, the more you earn.

🚀 Ready to Take On the Challenge?

Send us your CV and let’s talk

Are you passionate about technology and eager to kickstart your career in software development? Join our dynamic team at DICEUS as an Intern Full Stack Developer and gain hands-on experience in a professional tech environment.

You’ll be contributing to the development of a modern solution tailored for the insurance industry - designed to optimize operations and enhance customer engagement through advanced technologies like cloud computing and AI.

What You’ll Be Doing:

• Assisting in the development of scalable web applications (both front-end and back-end) under the guidance of experienced mentors.
• Learning and working with back-end technologies such as .NET (C#) and front-end frameworks like Angular.
• Building responsive user interfaces with Angular and integrating them with back-end APIs.
• Exploring Azure Cloud and understanding how modern apps are deployed and maintained.
• Supporting the implementation of API integrations and other software components.
• Engaging in internal team discussions and learning sessions to broaden your knowledge base.

What We Expect From You:

• Basic understanding of programming concepts in .NET (C#) and front-end fundamentals (HTML, CSS, JavaScript/TypeScript).
• Familiarity with or strong interest in Angular (or other modern front-end frameworks).
• Curiosity about cloud services, web technologies, and how real-world systems work end-to-end.
• Willingness to learn, grow, and take feedback constructively.
• Good communication and team collaboration skills.
• Currently studying or recently graduated in Computer Science or a related field.

What We Offer:

• Hands-on experience with cutting-edge technologies in a professional environment.
• Mentorship and guidance from experienced developers.
• Exposure to real-world full stack development processes in the insurance tech space.
• A collaborative and innovative work culture that encourages learning and growth.
• The opportunity to become a Junior Full Stack Developer after successfully completing the internship period.

Sounds like your kind of challenge? Apply now and let’s start your tech journey together!

Build the core data engineering capability that enables WPP Open applications, AI agents, analytics products, and business workflows to securely discover, access, combine, govern, and activate data across enterprise systems, client environments, media platforms, and third-party providers.

We are seeking four senior engineering specialists who will be responsible for implementation and delivery of key platform capabilities. While architecture leadership is provided by the platform architecture team, these hires are expected to bring deep expertise, contribute to solution design, challenge assumptions, and guide implementation decisions based on industry experience.

Requirements

Implement the capabilities required to acquire, standardize, harmonize, and operationalize external marketing, media, commerce, and third-party datasets at scale. 

• Strong experience with SQL, Python, and cloud-based platforms like AWS, GCP, or Azure.
• Solid understanding of data modelling, pipelines and orchestration tools (Airflow, dbt, or similar).
• Familiarity with modern data ecosystems — e.g. Spark, Databricks, Snowflake, BigQuery or Redshift.
• Experience working with CI/CD, version control and testing best practices.
• A proactive approach to solving problems and improving systems.
• Excellent communication skills — you can translate technical concepts into language anyone can understand.
• A passion for data and how it can drive better decisions in media, marketing and beyond.

Experience with technologies and platforms such as

• Adverity, Fivetran, Airbyte
• Google Ads, DV360, Campaign Manager 360, Search Ads 360
• Meta, TikTok, Amazon Advertising, LinkedIn, Pinterest, Trade Desk
• Marketing, advertising, commerce, audience, or measurement data ecosystems

Job responsibilities

• Building and maintaining external data integrations
• Implementing reusable ingestion frameworks
• Standardizing and harmonizing media and marketing datasets
• Integrating third-party and client-owned data sources
• Supporting real-time and batch data acquisition patterns
• Providing expert input into data acquisition and onboarding approaches