Remote jobs in Europe

We are looking for a Social Media Designer to join our marketing team and focus on creating engaging social media visuals and digital brand materials that drive engagement and reflect our company’s identity.

📌 Responsibilities:

• Develop creatives for social media (static, motion, stories, reels, GIFs, banners).
• Create engaging visuals for campaigns across platforms like Facebook, Instagram, TikTok, Telegram, LinkedIn, and partner networks.
• Maintain and update the brand book and media kit to ensure visual consistency.
• Prepare conference and print materials (booths, roll-ups, business cards, etc.).
• Work on special brand projects (guides, calendars, internal templates, stickers, etc.).

💡 Requirements:

• 2+ years of experience in design.
• Proficiency in After Effects, Photoshop, Illustrator, InDesign, Acrobat.
• Experience with AI tools for image/video generation.
• Confident user of Figma and strong visual storytelling skills for social media.

📍 Conditions:

• Format: Full-time, remote.
• Schedule: Monday–Friday, 10:00–19:00 (Kyiv time) 
• English: B1 – Intermediate.

We are looking for a Lead Generation Manager to drive high-quality pipeline growth through data-driven acquisition strategies. This role will own end-to-end lead generation efforts across multiple channels, optimizing performance and scalability.

The expertise we’re looking for

• 2-3 years experience in lead generation;
• Excellent written and spoken English;
• Strong understanding of sales processes and customer relationship management (CRM) systems;
• Ability to QA large number of leads in bulk (automated email bounce testing and MX/SMTP/Domain checkups)
• Understanding of automated data extraction systems, including AI-driven solutions and engagement automations (Mailchimp, Lemlist, Instantly or similar)
• Excellent communication, presentation, and interpersonal skills;
• Ability to work collaboratively in a team environment and drive results independently;

• Strong analytical skills and a data-driven approach to decision-making.

   

Would be a plus

• Work experince in IGaming filed or Lead Generation agency;

   

Your position will include

• Implement lead generation strategies to support sales objectives and expand the client base;
• Identify potential leads through market research, networking, and outreach initiatives;
• Manage the presales process, providing support to the sales team in the initial stages of the client engagement;
• Maintain an organized database of leads and prospects, ensuring accurate tracking and reporting on lead status and conversion rates;
• Work closely with sales and account management teams to align lead generation efforts with overall business goals;
• Analyze market trends and competitor strategies to identify new opportunities for lead generation.

We’re rapidly growing and inviting a Billing Support Specialist to our Paycord team.
If you’re ready for new challenges in a dynamic and fast-paced environment, this could be the perfect role for you.

Required skills and expertise:

• Communicate effectively through clear, concise written documentation;
• English language from Upper-Intermediate level;
• Ability to work in high workload conditions;
• Willingness to work rotating shifts: morning, day, evening and night;
• Good ability to prioritise tasks and meet deadlines;
• Experience of working with other internal departments, including technical teams;
• High level of attention to detail and concentration.

You would be running such tasks as:

• Quickly and efficiently resolve customer queries regarding payment issues via tickets, chats and emails;
• Troubleshoot technical issues with payment systems and software to support payment processing;
• Initiate escalation of issues to the technical or financial team and payment providers as required;
• Improve existing billing support processes and make suggestions for their optimisation to ensure the efficiency of the department.

Nice to have

• Experience in a Customer Support Specialist or related position (preferable Fintech, billing);
• Experience in resolving issues related to the payments industry.

We offer:

Care for your health and well-being

• 100 % paid sick leaves;
• 20 calendar days of vacation per year;
• Medical support;
• Benefits Cafeteria (budget for gym/stomatology/psychological service & etc.);
• Corporate gifts & events.

Professional growth & development

• Competitive salary with annual salary promotions;
• The annual budget for professional courses, conferences, workshops, and books;
• Internal training courses;
• Work with a team of professionals and have the opportunity to share knowledge.

Corporate Culture

• Dynamic and result-oriented work environment;
• The ability to influence product development at an early stage;
• Openness to new ideas and approaches, healthy team discussions;
• No “red tape” culture.
   

Candidate journey:
HR Interview -> Final Interview -> Job Offer

Paycord is a PayTech company with a high-load platform for payment processing. We combine fintech expertise with merchant insights to create innovative solutions. We’ve successfully developed a strong product that helps businesses succeed in new markets.

Our primary focus is on solution-driven development, and we prioritize the needs of our business clients. We provide access to a wide range of local and international payment methods, supporting businesses in reaching new heights and achieving excellence.

We`re rapidly growing and inviting a Senior Business(System) Analyst to our team.

You would be running such tasks as:

• Collaborate proactively with business stakeholders, product managers and tech team to reach a common understanding of the pain/problem to address the needs;
• Analysis of the gathered requirements and expectations and creation of requirements specifications;
• Presentation business requirements to tech team and support tech team in clarifications of requirements and change request management, lead refinement sessions;
• Plan, facilitate, and conduct requirements elicitation, documentation, and validation;
• Create various artifacts, such as SRSs, minimal schema and configuration requirements, presentations, user guides, introduction materials, and release notes.

Required skills and expertise:

• 3+ years of experience as a Business Analyst or Systems Analyst;
• Ability to understand complex business tasks and translate them into requirements;
• Ability to write functional and non-functional requirements, create user stories and use cases (including diagrams, UML, BPMN);
• Good knowledge of prototyping tools;
• Strong technical knowledge of client-server architecture, API, SQL, HTML/CSS;
• Strong understanding of the Software Development Life Cycle (SDLC);
• Attention to details, strong logic mindset, ability to identify corner cases, result-oriented approach;
• Strong time management skills to feel confident with multi-task activities;
• Experience in payments domain;
• English: Upper-Intermediate.

Tech Stack:

PHP 8, Nginx, MySQL, Redis, RabbitMQ, GitLabCI, AWS, Docker, Kubernetes, Grafana

We offer:

Care for your health and well-being

• 100 % paid sick leaves;
• 20 working days of paid vacation;
• Medical support;
• Benefits Cafeteria (budget for gym/stomatology/psychological service & etc.);
• Ability to work remotely or in the office (as you wish);
• Corporate gifts & events.

Professional growth & development

• Competitive salary with annual salary promotions;
• The annual budget for professional courses, conferences, workshops, and books;
• Internal training courses;
• Work with a team of professionals and have the opportunity to share knowledge.

Corporate Culture

• Dynamic and result-oriented work environment;
• The ability to influence product development at an early stage;
• Openness to new ideas and approaches, healthy team discussions;
• No “red tape” culture.

As a Sales Intern, you will help expand our global client base by introducing our SaaS products to insurance companies, brokers, and fintech organizations. You will work alongside experienced sales and product professionals and gain hands-on experience in enterprise sales.

Your responsibilities will include:
• Researching and identifying potential clients in target markets
• Assisting with outbound communication (email, LinkedIn, etc.)
• Supporting product presentations and demo meetings
• Participating in sales discovery and proposal preparation
• Updating CRM records and sales documentation
• Collaborating with the marketing team on outreach campaigns
• Learning about SaaS sales, insurance industry trends, and client needs


Requirements
• Strong interest in B2B sales, SaaS, or the insurance/fintech industry
• Upper-intermediate or higher English level (written and spoken)
• Great communication and research skills
• Self-motivated, curious, and eager to learn
• Basic understanding of software products is a plus
• Previous sales or internship experience is a bonus, but not required


What We Offer
• Real-world experience in international SaaS sales
• Opportunity to grow into a Junior Sales Manager role
• Mentorship and training in the Insurtech and fintech space
• Supportive team and career development path

Join us and start your career in tech sales with a team that supports your growth. Apply now!

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are looking for a Middle Automation QA Engineer to join our team in Poland. The role will primarily focus on API testing (80%) with UI testing (20%). You will help design, enhance, and maintain automation frameworks, ensuring efficient and scalable testing.

Key Responsibilities:

— Contribute to designing and improving automation testing strategies.

— Develop and maintain automation frameworks for API, UI, and LLM validation.

— Ensure scalability, maintainability, and reusability of automation code.

— API Testing: Develop automated API tests in Python using the Requests library.

— UI Testing: Create and maintain UI tests with Playwright.

— Integrate automated tests with Postman collections where applicable.

— Execute performance, regression, and functional tests.

— Integrate automation tests into CI/CD pipelines (Jenkins preferred).

— Work with Docker and Kubernetes to manage and scale test environments.

— Collaborate with developers, QA, and DevOps teams to improve the QA process.

— Write test plans, strategies, and design documents.

— Track issues using Jira and manage test cases (Xray optional).

— Analyze logs, investigate failures, and troubleshoot in staging and production.

Required Skills:

— 5 years of experience in test automation or a related QA role.

— Strong programming skills in Python.

— Solid experience in API automation (Requests library) and UI automation (Playwright).

— Experience with CI/CD tools (Jenkins preferred).

— Experience with Docker & Kubernetes for test environments.

— Strong analytical, problem-solving, and debugging skills.

— Experience with Jira for tracking and reporting.

— Ability to work independently and proactively in a fast-paced environment.

Nice to Have:

— Experience with Kafka.

— Familiarity with X-ray for test management.

— Knowledge of AWS cloud services.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

US Company is searching for a couple of Senior AI Engineers into a complex, enterprise-level project for building sophisticated Agentic Systems, Adaptive RAG engines, capable of autonomous research to solve complex, real-world problems. Interesting project with cutting edge technologies, distributed team, full-time, an official contract. Remote work, flexible schedule.

Brief project description:

• The product is SaaS, which allows multiple functions for sustainability & operational risk management. The project is dedicated for developing of AI Center of Excellence.

Key areas of responsibility:

• Platform Engineering: Build and enhance scalable, reusable AI services (e.g., "Adaptive RAG Engine," "Text-to-SQL Service," and "Agentic Runtime") that product teams can easily integrate.
• Technical Contribution: Collaborate with principal engineers and architects. Participate in code reviews, write robust tests, and help drive the adoption of engineering best practices (CI/CD for AI, evaluation).
• Agentic Innovation: Develop and implement multi-agent systems capable of complex reasoning, planning, tool use, and self-correction (using frameworks like LangGraph or PydanticAI or Databrics' Agent Brics).
• Data Engineering: Load datasets and knowledge sources from external systems. Shape and transform data to optimize it for Hybrid or Semantic Search, providing the best possible knowledge context to LLMs.
• Production Readiness: Help move prototypes to production with a focus on latency, cost optimization, and reliability. Implement robust evaluation pipelines (LLM-as-a-Judge) to measure quality and prevent regression.
• Collaboration & Enablement: Partner with product teams to implement their AI roadmaps. Translate business requirements into concrete technical implementations.

Required skills (at least one or more for each category):

• Professional Experience: At least 5 years of professional experience in software development or Data Science.
• Education: Bachelor's or Master's degree in Computer Science, Mathematics, Engineering, Physics, or a related natural science field.
• Python Expertise: At least 5 years of hands-on experience with Python, writing clean, maintainable, and production-ready code.
• Strong Software Engineering Foundation: distributed systems, API design (FastAPI), and cloud architecture.
• Data Engineering Expertise: Data Engineering and Big Data (DeltaLake, Databrics etc.) experience are a big plus.
• GenAI Engineering Experience: Hands-on experience building production RAG systems. Chunking strategies, hybrid search (dense + sparse), re-ranking, and context management.
• Agentic Workflow Experience: You have experience building systems where LLMs use tools, maintain state, and execute multi-step plans. You are familiar with the challenges of loops, recursion, and hallucination mitigation.

Tech Stack:

• Languages: Python, TypeScript
• AI Frameworks: LangChain/LangGraph, Pydantic AI, MosaicAI
• Models: Azure OpenAI (GPT-4o, o1), Open Source LLMs (Llama 3, Mistral)
• Infrastructure: Azure AI Search, Azure Container Apps, Delta Lake, Vector Databases like Databrics Vector Search.

Work conditions:

• Distributed team, remote work.
• Kanban or scrum approach, 5-6 team members / team.
• Full-time (40 hours per week).
• Official contract: salary, sick-leave days, holidays, vacations.

Hiring process:

• Step 1 - preliminary interview (main questions) - 20 mins
• Step 2 - internal tech interview (tech questions) - 40-50 mins
• Step 3 - tech interview with team leader and architect - 1 hour

Role Overview

The Head of Data Intelligence is the executive owner of demand forecasting and market intelligence for the 4A business. This role transforms complex historical and real-time data into clear, predictive guidance that drives growth, operational readiness, and demand capture.

By building scalable forecasting systems and partnering closely with Demand Generation and Operations, this leader shifts the organization from reactive reporting to proactive decision-making—anticipating demand shifts, identifying market opportunities, and ensuring supply readiness ahead of execution.

Success is measured by improved decision speed and accuracy across market prioritization, programmatic SEO planning, launch timing, supply–demand balancing, and portfolio-level resource allocation.
 

Core Mandate:
Own demand intelligence end-to-end so the business shows up in the right markets, with the right content and supply, at exactly the right time.

Key Responsibilities

1. Demand Forecasting Strategy & Signal Ownership

• Own the company’s demand forecasting approach across services, regions, and verticals.
• Analyze historical demand to identify seasonality, geographic spikes, anomalies, and structural trends.
• Define forecasting methodologies, confidence levels, assumptions, refresh cadence, and data-quality standards.
• Identify and operationalize early demand indicators (e.g., lifecycle trends, warranty timing, weather, behavioral signals).
• Build monitoring frameworks and alerts that surface demand shifts before impact.

2. Geo & Service Intelligence / Opportunity Mapping

• Develop and evolve geo- and service-level heatmaps to visualize demand intensity, whitespace, and growth opportunity.
• Maintain consistent definitions for market sizing, demand indices, and prioritization tiers.
• Partner with Demand Generation to drive market entry, expansion, and deprioritization decisions.

3. SEO Intelligence & Programmatic Growth Enablement

• Partner with SEO, Growth, and Content teams to inform programmatic SEO strategy and prioritization.
• Analyze and optimize L1/L2/L3 page strategies for performance, conversion, and revenue impact.
• Help define a demand-driven publishing and launch calendar based on predicted demand—not static schedules.
• Align content roadmaps with seasonal peaks and highest-opportunity markets.

4. Supply–Demand Balancing & Operational Readiness

• Translate demand forecasts into operational actions: coverage planning, staffing/vendor needs, capacity allocation, and geographic focus.
• Partner with Operations to balance long-term forecasts with short-term signals for rapid execution and course correction.
• Reduce under- and over-supply in priority markets through forward-looking planning.

5. Scalable Insight Systems, Automation & Governance

• Build scalable, repeatable systems: automated dashboards, standardized reporting, and self-serve analytics.
• Define metric logic, data quality checks, and governance standards to ensure consistency and trust.
• Reduce manual analysis and metric disputes through automation and clear ownership.

6. Executive Communication & Decision Support

• Translate data into executive-ready narratives, trade-offs, and recommendations.
• Establish a consistent insight cadence aligned with weekly, monthly, and quarterly operating rhythms.
• Present forecasts and market intelligence to leadership to drive prioritization and investment decisions.

7. Cross-Functional Leadership & Alignment

• Partner with Demand Generation and Operations to integrate demand intelligence into planning, capacity, and SLA decisions.
• Collaborate with BUMs, Sales, Client Success, and Licensed Brands to align launches and messaging with demand signals.
• Drive adoption of forecasting frameworks and self-serve insights across teams.

Metrics & KPIs

Business Impact

• Forecast adoption: % of roadmap, market, and content decisions informed by demand intelligence
• Demand capture lift: lead volume and quality improvements driven by timing and targeting
• Operational readiness: reduction in under/over-supply events
• MPS alignment: demand intelligence contribution to revenue, booked leads, and ROMI forecasting

Forecasting & Intelligence Health

• Forecast accuracy and calibration by geo, service, and horizon
• Early-indicator performance and lead time gained on demand shifts
• Insight cycle time: signal → recommendation → action
• Data quality consistency and reduction in metric disputes

Scalability & Adoption

• Automation coverage vs. manual analysis
• Self-serve dashboard adoption across teams
• Forecast refresh cadence reliability
• Stakeholder confidence and satisfaction

Team Structure & Interfaces

• Leads the Data Intelligence function, developing analysts and setting standards for forecasting and insights.
• Accountable for demand forecast accuracy, data quality, and insight timeliness.
• Operates within the 4A governance cadence (weekly business reviews, monthly and quarterly portfolio planning).
• Ensures all insights are decision-ready and action-oriented.
   

Qualifications

• 5+ years in data analytics, data science, or business intelligence (marketplaces, services, or demand-driven businesses preferred)
• Strong experience analyzing large historical datasets and translating patterns into business action
• Comfortable operating with imperfect data while delivering reliable, directional guidance
• Proven ability to influence strategy and drive cross-functional adoption
• Advanced skills in SQL, Python or R, BI tools (Power BI, Tableau, Looker), GA4, Search Console, and CRM systems
• Strong understanding of forecasting methodologies, ROMI, capacity economics, and MPS-style input/output frameworks
• Excellent executive communication and stakeholder management skills
• Builder mindset: scales 0→1 experiments into 1→10 standardized systems

About SoftVault

SoftVault is a fast-growing iGaming technology company that helps operators launch online casinos in as little as 14 days. We provide turnkey, white-label, and crypto casino platforms to B2B clients worldwide.

We're a lean, remote-first team that moves fast and rewards results.
 

The Role

We're looking for a Media Buyer to drive qualified B2B leads through paid advertising. Your primary focus will be Meta and Google Ads, with room to explore LinkedIn, Telegram, X (Twitter), and other channels.

Important context: We sell B2B iGaming platform solutions (not B2C gambling products), but ad platforms can be sensitive to anything iGaming-related. You'll need to understand ad policies inside-out and know how to run compliant campaigns that don't get flagged. We'll provide fresh ad accounts — your job is to keep them healthy and performing.
 

This is a results-driven role with commission upside. We're starting with a modest budget and scaling aggressively based on performance.
 

What You'll Do

• Run paid acquisition campaigns — primarily Meta Ads, with Google Ads as secondary
• Keep accounts compliant — understand platform policies, avoid bans, manage account health
• Set up bulletproof tracking — conversion tracking, attribution, pixel implementation
• Optimize for leads — CPL, lead quality, and ultimately closed deals
• Test and iterate — creatives, audiences, landing pages, ad copy
• Explore new channels — LinkedIn, Telegram Ads, X, programmatic — find what works
• Report on performance — clear metrics, insights, and recommendations
   

What We're Looking For

Must-have:

• Proven experience running Meta Ads (Facebook/Instagram)
• Strong understanding of Meta and Google ad policies and compliance
• Hands-on experience with conversion tracking (pixels, CAPI, GTM, etc.)
• Data-driven mindset — you optimize based on numbers, not gut feeling
• Self-starter — you take ownership and figure things out
• Fluent English
   

Big plus:

• Experience in iGaming, fintech, crypto, or other "restricted" verticals
• Google Ads experience
• Creative planning or design skills (ad creatives, landing page input)
• Experience with LinkedIn Ads, Telegram Ads, or X Ads
• Russian language skills
   

What We Offer

• Fully remote — work from anywhere
• Base + commission — $750–1,250/month + performance bonuses tied to results
• Autonomy — own the channel, make decisions, see direct impact
• Growth potential — budget scales with performance, and so can your role
• No bureaucracy — small team, fast decisions
   

How to Apply

1. Share your CV/resume
2. Brief examples of campaigns you've run (results, verticals, spend managed)
3. A few sentences on how you'd approach running ads for a B2B iGaming platform
    

We review applications quickly and aim to make decisions within 1 week.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking an experienced Mid/Mid+ Data Scientist with expertise in Large Language Models (LLMs) such as GPT, Claude, and related technologies. The ideal candidate will have a strong background in natural language processing (NLP), machine learning, and deep learning models. They will play a critical role in developing and deploying cutting-edge LLM applications to drive innovation across our product lines.

Responsibilities:

‌

— Design, develop, and optimize Large Language Models for various NLP tasks such as text generation, summarization, translation, and question-answering

— Conduct research and experiments to push the boundaries of LLM capabilities and performance

— Collaborate with cross-functional teams (engineering, product, research) to integrate LLMs into product offerings

— Develop tools, pipelines and infrastructure to streamline LLM training, deployment and monitoring

— Analyze and interpret model outputs, investigate errors/anomalies, and implement strategies to improve accuracy

— Stay current with the latest advancements in LLMs, NLP and machine learning research

— Communicate complex technical concepts to both technical and non-technical stakeholders

Requirements:

‌

— MS or PhD degree in Computer Science, Data Science, AI, or a related quantitative field

— 2-3+ years of hands-on experience developing and working with deep learning models, especially in NLP/LLMs

— Expert knowledge of Python, PyTorch, TensorFlow, and common deep learning libraries

— Strong understanding of language models, attention mechanisms, transformers, sequence-to-sequence modeling

— Experience training and fine-tuning large language models

— Experience with classical ML models - XGBoost, LightGBM

— Proficiency in model deployment, optimization, scaling, and serving

— Excellent problem-solving, analytical, and quantitative abilities

— Strong communication skills to present technical information clearly

— Ability to work collaboratively in a team environment

— Fluency in Ukrainian and English

Preferred:

— Research experience in LLMs, NLP, machine learning

— Experience working with multi-modal data (text, image, audio)

— Knowledge of cloud platforms like AWS, GCP for model training

— Understanding of MLOps and production ML workflows

— Background in information retrieval, knowledge graphs, reasoning

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Hello everyone 👋

At Intobi, we're a software and product development company passionate about driving innovation and progress.

We help our clients succeed by delivering custom-built tech solutions designed to meet their unique needs.

Our expertise lies in developing cutting-edge Web and Mobile applications.

We are seeking a proactive Python Developer with at least 3 years of experience to join our engineering team. You will be responsible for the full lifecycle of data-driven applications, from building robust backend APIs to designing and maintaining complex data pipelines. The ideal candidate thrives in a DevOps-cultured environment and is eager to work with modern orchestration and cloud technologies.

Core Responsibilities:

— Data Pipeline Management: Develop, optimize, and maintain scalable data pipelines to ensure high-quality data flow.

— API Development: Build and maintain high-performance backend APIs using FastAPI.

— System Reliability: Proactively identify bottlenecks and improve system stability within existing infrastructures.

— Collaboration: Work closely with cross-functional teams to integrate AWS services and workflow orchestration tools into the production environment.

Required Qualifications:

— Experience: 3+ years of professional Python development experience.

— Databases: Strong proficiency in both SQL and NoSQL database design and management.

— DevOps Tools: Hands-on experience with Docker, CI/CD pipelines, and Git version control.

— Frameworks: Proven experience building applications with FastAPI.

— Cloud & Orchestration: Practical experience with AWS services and familiarity with Airflow (or similar workflow orchestration tools).

— Communication: Upper-Intermediate level of English (written and spoken) for effective team collaboration.

Preferred Skills (Nice to Have):

— Experience within the Financial Domain.

— Hands-on experience with Apache Spark and complex ETL pipelines.

— Knowledge of container orchestration using Kubernetes.

— Exposure to or interest in Large Language Models (LLMs) and AI integration.

Please send your CV here or via email

Should the first stage be successfully completed, you’ll be invited to a personal interview.

Join us as a Partnership Manager!

We are currently seeking an experienced individual to foster and manage our company's partnerships. If you have a strategic mindset, thrive in collaborative settings, and possess a proven history of partnership management in fintech, we would love for you to be a part of our team.

Experience in fintech, crypto, or finance is required.

Requirements:

• Minimum 3 years of partnership management experience, with at least 1 year in fintech
• Proven experience attending and working at industry conferences, including partner prospecting and lead generation
• Excellent communication and negotiation skills – ability to articulate value propositions and establish clear partnership terms
• Analytical skills for partner identification and collaboration opportunities
• Capability to develop and implement motivational programs for partners
•  

Responsibilities:

• Identify potential partners, focusing on high-potential market segments
• Develop attractive cooperation terms for partners, including commissions and bonuses
• Organize meetings, negotiations, and presentations to establish clear cooperation terms
• Implement motivational programs to stimulate partner activity and client acquisition
• Participate in industry events and conferences to expand the partner network and promote our company
• Monitor markets for new trends, opportunities, and competitors
•  

We offer:

• Full-time remote work
• Competitive salary and motivation system
• Opportunities for professional growth
• Dynamic team environment
• Participation in improving sales processes
• Corporate training and payment for individual training
• Medical insurance

About the Company

An ambitious SBSB FinTech Lawyers company that combines advanced financial technology and legal knowledge is looking for a Senior Sales Manager!

We help clients navigate the complex world of finance and law by providing innovative solutions in leading industries.

This role combines sales team supervision (60%) with personal sales (40%).

We are looking for a sales leader, not just a strong individual contributor — someone who can manage people, processes, and results while actively participating in strategic sales.

Key Responsibilities

1. Sales Team Management (≈60%)

- Supervise and manage the sales team: goal setting, KPI control, and performance tracking.
Ensure high-quality lead handling, client communication, and deal execution.

- Own and manage the sales pipeline in CRM: data quality, deal stages, forecasting, and bottleneck analysis.

- Analyze the sales funnel (Lead → Deal), conversion rates, and lost deals.

- Onboard, train, mentor, and support junior and middle sales managers.

- Conduct regular 1:1s, call and deal reviews, and quality control sessions.

- Participate in building and improving sales processes, scripts, playbooks, and standards.

- Prepare regular reports and sales forecasts (monthly / quarterly).

2. Personal Sales & Business Development (≈40%)

- Personally attract new B2B clients, focusing on complex and high-value deals.

- Initiate first contact via cold outreach, LinkedIn, partnerships, and networking.

- Lead negotiations, meetings, and presentations together with the company’s lawyers.
Close complex deals involving multiple decision-makers.

- Build and maintain long-term relationships with key and top-tier clients.

- Represent the company at industry events, conferences, and business meetings.
- Actively use LinkedIn for lead generation, content, and personal branding.

Requirements

- 3+ years proven experience in B2B sales.

- 1+ years proven experience team management .
Mandatory experience in managing or supervising a sales team.
- Strong hands-on experience with CRM systems (pipeline management, analytics, reporting).

- Excellent negotiation and closing skills for complex B2B deals.

- Solid understanding of sales scaling: processes, people, and analytics.

- English level: B2+ (spoken and written).

- Experience in FinTech, Legal, Crypto, or Financial Services is a strong advantage.
- Leadership mindset, structured thinking, ownership, and result-oriented approach.

What We Offer

- Fully remote work format

- Competitive compensation: fixed salary + performance-based bonus (linked to team and personal results).
- Clear horizontal and vertical growth opportunities.

- Access to internal training and development programs.

- Comprehensive health insurance.

 

We are seeking a Senior Product Manager to lead our ad network and channel integration strategy. This role is critical to our platform's expansion and optimization, working directly with company leadership to drive product roadmap decisions while managing a specialized technical team responsible for building and maintaining integrations with major advertising platforms.

Key Responsibilities

• Collect and translate business requirements from company ownership into actionable product specifications
• Define and execute product strategy for ad network integrations and channel expansion
• Drive cross-functional collaboration between engineering, data science, and business development teams
• Lead and mentor a specialized integration team of engineers and QA professionals
• Set team priorities, manage sprint planning, and ensure delivery excellence
• Foster a culture of innovation and technical excellence within the integration team

Product Development Priorities

Primary Focus:

• Automate existing channel integrations to enable seamless two-way data synchronization
• Optimize current integrations for improved data accuracy and real-time reporting capabilities
• Streamline integration processes to reduce manual intervention and improve scalability

Secondary Focus:

• Identify and prioritize new high-value advertising channels for integration
• Lead technical evaluation and implementation of new platform partnerships
• Expand market reach through strategic channel additions

Technical Oversight

• Define technical requirements and API specifications for channel integrations
• Create comprehensive product documentation and visual schematics for integration architectures
• Ensure data integrity and compliance standards across all integrated platforms
• Drive automation initiatives to improve operational efficiency and reduce time-to-market for new integrations

Required Qualifications

• 5+ years of product management experience in adtech, programmatic advertising, or related fields
• Deep, hands-on understanding of major advertising networks including:
• Paid social media platforms (Facebook, LinkedIn, Twitter, TikTok, etc.)
• API integrations and data synchronization protocols
• Experience with marketing automation platforms and attribution modeling
• AI-first mentality, strong interest in the emerging technologies, willingness to learn, adapt, and use AI tools to build portotypes, monitoring tools, and otherwise use them to aid both your and the teams' goals.
• Proven track record managing technical teams and complex integration projects
• Strong analytical skills with experience in data-driven product decisions
• Understanding of advertising technology ecosystem and data flow
• Experience with API integrations, webhooks, and real-time data processing
• Familiarity with advertising platform APIs and their capabilities/limitations
• Knowledge of data privacy regulations and compliance requirements
• Excellent stakeholder management and communication skills
• Experience translating business requirements into technical specifications
• Strong project management skills with ability to manage multiple concurrent initiatives
• Collaborative leadership style with proven ability to influence cross-functional teams

Nice to Have:

• Deep understanding of programmatic advertising channels (DSPs, SSPs, ad exchanges)
• Experience in pharmaceutical, healthcare, or highly regulated industry marketing
• Understanding of healthcare professional targeting and compliance considerations
• Familiarity with NPI data and healthcare professional identification systems
• Background in automation technologies and AI agent development/implementation
• Experience building or managing intelligent automation workflows and AI-driven processes

About the project:

We are looking for a Senior Data Engineer to take ownership and evolve both our Data Warehouse and core databases within a microservices-based, multi-tenant application. This role encompasses more than just analytics and includes broad responsibility for database architecture, ensuring data consistency, and managing technical debt across production systems. It is a hands-on opportunity focused on long-term stewardship of the data layer, working closely with backend engineers and product teams to deliver scalable, reliable, and maintainable data infrastructure.

Please note that this position requires Cyprus-based candidates or readiness to relocate to Cyprus after the probation period. We provide full support throughout the relocation process, along with a relocation bonus 🎁

A new team member will be in charge of:

• Designing, developing, and maintaining scalable data warehouse solutions.
• Building and optimizing ETL/ELT pipelines for efficient data integration.
• Designing and implementing data models to support analytical and reporting needs.
• Ensuring data integrity, quality, and security across all pipelines.
• Optimizing data performance and scalability using best practices.
• Working with big data technologies such as Redshift.
• Collaborating with cross-functional teams to understand business requirements and translate them into data solutions.
• Implementing CI/CD pipelines for data workflows.
• Monitoring, troubleshooting, and improving data processes and system performance.
• Staying updated with industry trends and emerging technologies in data engineering.

• Taking ownership of core production databases across a microservices, multi-tenant application.

   

Does this relate to you?

• 6+ years of experience in Data Engineering or a related field.
• Strong expertise in SQL and data modeling concepts.
• Hands-on experience with Airflow.
• Experience working with Redshift.
• Proficiency in Python for data processing.
• Strong understanding of data governance, security, and compliance.
• Experience in implementing CI/CD pipelines for data workflows.
• Ability to work independently and collaboratively in an agile environment.
• Excellent problem-solving and analytical skills.
• Experience managing production databases in microservices environments.
• Experience designing and supporting multi-tenant data models.
• English proficiency at an upper-intermediate level.

Ready to try your hand? Send your CV without a doubt!