Remote jobs in Europe

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

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

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

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

⭐ Nice to Have

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

✨What We Offer:

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

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

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

Responsibilities

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

Requirements

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

Nice to Have

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

What Success Looks Like (first 90 days)

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

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

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

Requirements

Experience

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

Technical skills

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

Languages

• English — B2+ (documentation and bug reporting)

Responsibilities

Testing

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

Analysis and Troubleshooting

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

Documentation and Process

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

Quality Improvement

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

Team collaboration

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

Nice to have

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

Soft skills

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

Working conditions

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

What we offer

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

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

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

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

Key Responsibilities

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

Requirements

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

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

Bonus Skills

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

Role Overview

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

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

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

Key Responsibilities

Machine Learning & Modeling

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

Data & Analytics

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

Collaboration & Product Integration

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

LLMs & Advanced Techniques

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

Documentation & Governance

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

Required Qualifications

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

Nice-to-Have Qualifications

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

What We Offer

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

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

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

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

the margin between purchasing from SSP and selling to DSP

Key requirements

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

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

Adform, AppNexus/Xandr, and similar)

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

MGID, Taboola, programmatic direct, agencies)

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

resell, supply path management)

In-depth knowledge of focus formats:

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

interstitial, high-viewability

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

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

(SPO)

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

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

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

Telegram, industry events)

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

What will be in your area of responsibility

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

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

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

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

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

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

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

What we offer

- Fixed salary

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

- Fully remote format

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

supply/demand, fraud, viewability/completion

- Fast payments, performance-oriented billing model

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

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

You are our ideal candidate if you:

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

What will you be responsible for?

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

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

   

What do we offer?

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

Data Lab Scientist – Computer Vision

About Cyberette

Cyberette is an AI-native cybersecurity company developing forensic-grade technology to

detect digital manipulation in video, audio, and images. Our mission is to restore trust in

digital communication and protect organizations from deception in the AI era.

About the Role

We’re looking for a Data Lab Specialist with a solid background in data operations and

computer vision. You’ll be responsible for building and maintaining high-quality datasets that

fuel our detection models, ensuring accuracy, diversity, and consistency across all data

pipelines.

This role combines hands-on technical work with coordination — ideal for someone who

enjoys both creating structure and collaborating across teams.

Key Responsibilities

• Curate, collect, and annotate large-scale datasets for image and video analysis.

• Collaborate with the AI team to align data preparation with model goals.

• Ensure quality control and consistency across all dataset sources.

• Guide and coordinate junior team members or interns working on data tasks.

• Perform exploratory data analysis and identify dataset gaps or biases.

• Maintain clear documentation and versioning of data pipelines.

Requirements

• BSc/MSc in Computer Vision, Data Science, or related field.

• Proven experience with dataset preparation and management for machine learning.

• Strong understanding of computer vision principles and data labeling workflows.

• Proficiency in Python, Pandas and/or Polars, NumPy, and OpenCV.

• Experience working collaboratively with ML or research teams.

• Highly organized, detail-oriented, and dependable.

What We Value

Cyberette is built by a team of people who care deeply about purpose-driven innovation. We

believe in using AI to protect truth, identity, and digital integrity — and data is the foundation

of that mission.

Bonus Skills

• Familiarity with dataset tools (Label Studio, CVAT, Supervisely).

• Knowledge of multimodal or synthetic data generation.

• Understanding of ethical AI and dataset governance principles

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 1,200 professionals united by a shared vision of shaping the Web3 future.
 

We are building our own blockchain ecosystem, ensuring 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 the National Football Team of Ukraine, FC Barcelona, Lifecell, FACEIT, and VISA.

The future of Web3 starts with you — join us as a Liquidity Monitoring Specialist!

Requirements: 

— Higher economic education;
— Systemic thinking and analytical mind;
— Ability to work with tables (excellent knowledge of Excel: formulas, summary tables);
— Willingness to work different shifts (day, evening, night).

Responsibilities:

— Processing and analysis of trading operations;
— Monitoring the state of the market;
— Research and analysis of exchange situations with the help of information and analytical tools;
— Interaction with the technical department.

Will be a plus: 

— Commercial experience and knowledge in the crypto domain. 

Work conditions: 

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.
— 24 calendar days of paid leave.
— Additional days off for national holidays.

With us, you’ll dive into the world of unique blockchain technologies, reshape the crypto landscape, and become an innovator in your field. If you’re ready to take on challenges and join our dynamic team, apply now and start a new chapter in your career!
Let’s Build the Future Together!

🟢We invite a Senior Software Engineer with strong Node.js expertise and solid AWS knowledge to join our team. You'll work with a trusted leader in the Point-of-Sale industry with over 100,000 global installations. In this role, you’ll contribute to our client’s new initiative focused on creating data mapping between diverse menu order systems and integrating two distinct APIs to ensure seamless and accurate data transfer.

🟩 What's in it for you:

• Collaborate on a high-load, technically challenging backend project, expanding your expertise in API integration, data mapping, and data transformation
• Contribute to a global tech platform offering robust solutions for the restaurant and food service industry
• Influence technical best practices and mentor engineers, promoting a culture of quality and continuous improvement

✅ Is that you?

• 4+ years of commercial backend development experience with deep expertise in Node.js and TypeScript in production environments
• 2-3+ years of AWS experience (EC2, ECS, Lambda, SQS/SNS, CloudWatch, etc.)
• Solid experience with MongoDB
• Proven experience designing, building, and maintaining RESTful APIs
• Strong understanding of backend architecture and service design
• Experience writing unit and integration tests
• Experience with CI/CD pipelines and automated deployments
• Strong ownership mindset and ability to work independently, resolve complex issues, and deliver solutions
• Excellent communication and cross-functional collaboration skills
• Upper-Intermediate+ English level

Desirable:

• Experience mentoring or providing technical guidance to engineers
   

🧩Key responsibilities and your contribution

In this role, you’ll contribute to the design, development, and continuous improvement of high-loaded backend systems and services, ensuring technical quality and delivering bullet-proof solutions.

• Design, build, and maintain high-loaded backend systems and APIs using Node.js and AWS
• Develop new backend features and enhancements for production systems
• Support and troubleshoot production systems to ensure reliability and performance
• Identify and reduce technical debt and implement improvements to maintain code quality and reliability
• Write and maintain unit and integration tests to ensure code quality
• Collaborate with cross-functional teams to define requirements and deliver bullet-proof solutions
• Contribute to the continuous improvement of backend architecture and development practices
• Create and maintain clear, organized development documentation

GeoX provides instant property intelligence for insurnce across the United States. GeoX enables insurers and other property stakeholders to access valuable property attributes at time of underwriting, with the accuracy and detail that traditionally required an on-site inspection, but with the speed and coverage of property record pre-fill. Founded in 2018, GeoX is backed by stock market and leading venture firms and is comprised of computer vision, data science, and risk analysis experts.

Roles & Responsibilities

• Create a comprehensive marketing strategy to engage US-based Insurance carriers / MGA’s / Brokers / Agencies across all relevant marketing channels. 
• Build a transparent and scalable growth machine, own demand generation end-to-end, identify opportunities to develop new channels, and/or expand existing ones for customer acquisition.
• Establish a content factory, able to produce relevant and highly engaging content for diverse stages on the leads, opportunities, and users’ journey, including but not limited to case studies, blog articles, white papers, thought leadership pieces.  
• Manage and operate E2E, all marketing activities, hands-on / using freelancers /scale it to an in-house team later on.
• Own self-service product as a stand-alone revenue center with full responsibility for its performance and targets.
• Oversee email campaigns, Paid Search & Social.
• Generate user acquisition LTV/CAC reports on an ongoing basis and adjust accordingly. Define and manage marketing KPIs.

Qualifications

• +5 years of experience in marketing of global SAAS solutions to small medium businesses or B2B - must
• Experience working in startup companies – must
• Excellent English - must
• Background in insurance P&C - advantage

About the Role

We’re looking for a scrappy, AI-native Growth Engineer who thrives in high-autonomy environments and knows how to build scalable experimentation systems that drive real revenue impact.

This is not a “marketing” role.
We want a builder-operator who thinks in systems, automation, and measurable outcomes.

You should:

• Be comfortable leveraging AI tools (e.g., Claude) to 10x your output
• Have a track record of running measurable growth campaigns
• Think like a builder and operator — not just a marketer
• Get energized by improving metrics
• Be highly independent and execution-focused

Entrepreneurial backgrounds (e-commerce, dropshipping, solo SaaS, side projects, digital products) are highly valued.

What You’ll Do

AI-Powered Growth Systems

• Build workflows that generate, test, and iterate on hundreds of creative assets
• Use AI to scale paid ads, SEO, and landing page experimentation
• Automate creative production and performance analysis loops

Full-Funnel Experimentation

Own the complete growth cycle:

• Launch campaigns
• Measure performance
• Optimize for ROI
• Run paid acquisition campaigns (primarily targeting doctors)
• Develop referral loops and scalable growth infrastructure

 Strategy & Execution

• Work directly with the CEO to translate high-level strategy into actionable experiments
• Provide data-driven feedback to shape messaging and positioning
• Develop templated assets and repeatable growth playbooks

Analytics & Optimization

• Analyze full conversion funnels using tools like PostHog
• Identify bottlenecks and optimize LTV/CAC
• Turn insights into rapid experimentation cycles

Required Experience

• 2+ years of direct, hands-on growth experimentation
  (Entrepreneurial projects and side hustles count)
• Experience running paid ads and/or UGC campaigns with measurable outcomes
• Proven ability to build systems — not just execute isolated campaigns
• Comfortable operating independently with high ownership
• Strong analytical mindset

Tech Stack

• Claude
• PostHog
• HeyGen
• Figma
• Apollo.io
• Exa

Why Join?

• High ownership from day one
• Direct access to CEO and founding team
• Meaningful equity (1.0%–1.5%)
• Build the growth engine of a category-defining healthcare company
• Real autonomy, real impact

Interview Process

1. Application review & screening
2. Hiring manager interview (CEO)
3. Portfolio & campaign review
4. Final interview

✨ Welcome to WinMedia – Driving Innovation in iGaming Products! ✨

At WinMedia, we build cutting-edge solutions that shape the future of the iGaming industry 🎯. By combining strategic thinking 💡, creativity 🎨, and data-driven insights 📊, we create products that engage players, grow revenues, and set new industry standards 🚀.

With a passionate team and bold vision, we transform ideas into world-class products. 💪
 

📌 About the Role
We are looking for an experienced Product manager / Product Owner to join our team. 🚀
The ideal candidate is a strategic thinker and strong leader who can design and execute product roadmaps, drive B2C growth, and build innovative solutions for Tier-1 markets.
 

🛠️ Responsibilities

Develop, own, and execute the company’s product strategy across the portfolio.

Create and maintain strategic product roadmaps aligned with business goals.

Prioritize new product development and continuous improvement of existing solutions.

Build and optimize the end-to-end product process – from ideation to launch and support.

Conduct deep market, competitor, and user analysis to define product opportunities.

Define and track KPIs to measure product success and adjust strategies accordingly.

Drive engagement, retention, and revenue growth through product innovation (B2C focus).

Collaborate closely with cross-functional teams and ensure flawless execution.
 

✅ Requirements

2+ years in iGaming on a product role.

2+ years of B2C product management experience.

1+ year in a leadership product position within iGaming.

Proven track record of building and scaling successful products (preferably online casino platforms with in-house development).

Experience with Tier-1 GEOs and B2C markets.

Strong analytical skills with ability to generate and test hypotheses.

Excellent communication and leadership skills.

Advanced English.
 

🧰 Tools & Skills

Jira, Miro, ClickUp, GSuite (Mail, Sheets, Docs, Meet, etc.)

draw.io, Figma

Solid understanding of product KPIs, data analysis, and optimization techniques.
 

🎯 Ideal Candidate

Has led product teams on platforms with in-house development.

Successfully launched and scaled at least 2 online casino projects in Tier-1 markets.

Combines leadership with a deep understanding of iGaming market needs.
 

🎁 What We Offer

💰 Competitive salary and strong financial incentives

🎨 Freedom to make decisions and implement your ideas

🚀 Fast career and professional growth opportunities

🎓 Direct mentorship and learning from the CEO

🌍 Flexible work setup and supportive environment

DMT Business Development is a leading B2B lead generation and appointment setting agency. We create tailored & effective strategies for clients based on their needs and goals. Our team generated over 2m leads for hundreds of clients and booked 10k+ appointments with businesses of any scope.

Currently we have an open vacancy for Sales Development Representative.

Responsibilities:

• Reach out to prospects and handle initial communications via automatic mailing systems (LinkedIn/E-mail);
• Handle responses, convert leads conversations into appointments;
• Make calls to prospects as a follow-up step if required;
• Do the weekly/monthly reports for our clients and team;
• Handle weekly meetings with American and/or European clients;
• Cooperate with other service teams to reach project KPIs;
• Analyze the results of the project and do regular sync-ups to increase performance.

Requirements:

• Conversational English (Upper-Intermediate+);
• Ability to multitask and adapt quickly in a dynamic environment.
• Proactive, willingness to learn and take ownership.

Working conditions:

• Work hours - Monday to Friday, 2 PM to 10 PM.
• Company-provided training to help you adapt and excel in the role.
• A young and friendly team environment.
• Flexible work options.
• 20 paid vacation days annually.
• Benefits include company guarantees, bonuses, and corporate event.

We are seeking a Senior Data Engineer to deliver data-driven solutions that optimize fleet utilization and operational efficiency across 46,000+ assets in 545+ locations. You will enable decision-making through demand forecasting, asset cascading, contract analysis, and risk detection, partnering with engineering and business stakeholders to take models from concept to production on AWS. 

Requirements 

• 5+ years of experience in data engineering 
• 3+ years of hands-on experience building and supporting production ETL/ELT pipelines 
• Advanced SQL skills (CTEs, window functions, performance optimization) 
• Strong Python skills (pandas, API integrations) 
• Proven experience with Snowflake (schema design, Snowpipe, Streams, Tasks, performance tuning, data quality) 
• Solid knowledge of AWS services: S3, Lambda, EventBridge, IAM, CloudWatch, Step Functions 
• Strong understanding of dimensional data modeling (Kimball methodology, SCDs) 
• Experience working with enterprise systems (ERP, CRM, or similar) 

Nice-to-haves 

• Experience with data quality frameworks (Great Expectations, Deequ) 
• Knowledge of CDC tools and concepts (AWS DMS, Kafka, Debezium) 
• Hands-on experience with data lake technologies (Apache Iceberg, Parquet) 
• Exposure to ML data pipelines and feature stores (SageMaker Feature Store) 
• Experience with document processing tools such as Amazon Textract 

Core Responsibilities 

• Design and develop ETL/ELT pipelines using Snowflake, Snowpipe, internal systems, Salesforce, SharePoint, and DocuSign 
• Build and maintain dimensional data models in Snowflake using dbt, including data quality checks (Great Expectations, Deequ) 
• Implement CDC patterns for near real-time data synchronization 
• Manage and evolve the data platform across S3 Data Lake (Apache Iceberg) and Snowflake data warehouse 
• Build and maintain Medallion architecture data lake in Snowflake 
• Prepare ML features using SageMaker Feature Store 
• Develop analytical dashboards and reports in Power BI 

What we offer   

• Continuous learning and career growth opportunities 
• Professional training and English/Spanish language classes   
• Comprehensive medical insurance 
• Mental health support 
• Specialized benefits program with compensation for fitness activities, hobbies, pet care, and more 
• Flexible working hours 
• Inclusive and supportive culture 
   

Вимоги до володіння мовами

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Про компанію Trinetix

Established in 2011, Trinetix is a dynamic tech service provider supporting enterprise clients around the world. 

Headquartered in Nashville, Tennessee, we have a global team of over 1,000 professionals and delivery centers across Europe, the United States, and Argentina. We partner with leading global brands, delivering innovative digital solutions across Fintech, Professional Services, Logistics, Healthcare, and Agriculture. 

Our operations are driven by a strong business vision, a people-first culture, and a commitment to responsible growth. We actively give back to the community through various CSR activities and adhere to international principles for sustainable development and business ethics. 

To learn more about how we collect, process, and store your personal data, please review our Privacy Notice: https://www.trinetix.com/corporate-policies/privacy-notice