Jobs at Djinni

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. We combine AI, blockchain, and cloud technologies to create engaging gaming experiences that redefine digital entertainment.

We're looking for a Business Analyst / Product Owner who can bridge business needs and product development. You'll work closely with stakeholders, designers, and engineering teams to transform ideas into successful product features while ensuring maximum business value.

What You'll Do

• Gather, analyze, and document business and product requirements.
• Translate business needs into clear user stories, acceptance criteria, and functional specifications.
• Own and prioritize the product backlog based on business goals and customer needs.
• Work closely with Developers, QA Engineers, Designers, and stakeholders throughout the product lifecycle.
• Participate in product discovery, feature planning, and roadmap development.
• Analyze user feedback, business metrics, and market trends to improve product performance.
• Facilitate backlog refinement, sprint planning, and other Agile ceremonies.
• Ensure delivered features meet business objectives and quality standards.
• Identify opportunities for process optimization and product improvements.
• Support product releases and help define future product strategy.

Requirements

• 3+ years of experience as a Business Analyst, Product Owner, or similar role.
• Strong experience gathering and documenting business requirements.
• Experience writing user stories, use cases, process flows, and acceptance criteria.
• Solid understanding of Agile/Scrum methodologies.
• Experience managing and prioritizing product backlogs.
• Strong analytical thinking and problem-solving skills.
• Excellent communication and stakeholder management abilities.
• Ability to work effectively with cross-functional teams.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with Jira, Confluence, or similar collaboration tools.
• Knowledge of UX principles and user-centered design.
• Experience working with analytics platforms such as GA4, Amplitude, or Mixpanel.
• Understanding of AI-powered products and modern digital platforms.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, books, and conferences.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on innovative AI, Web3, and gaming products with a global audience.
• Real influence on product strategy and business decisions.
• Career growth in a fast-growing international product company.

Why Join Phoenix Games?

At Phoenix Games, you'll play a key role in connecting business goals with product execution. Your ideas will directly influence the development of innovative products used by players around the world, while working alongside an experienced international team that values ownership, collaboration, and continuous improvement.

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. By combining AI, blockchain, cloud technologies, and advanced analytics, we create engaging digital experiences powered by data.

We're looking for a Data Analyst who is passionate about transforming data into actionable insights and helping shape product strategy through analytics.

What You'll Do

• Analyze product, marketing, and business data to identify trends, opportunities, and risks.
• Build and maintain dashboards, reports, and KPIs using modern BI tools.
• Monitor player behavior, retention, engagement, and monetization metrics.
• Perform ad hoc analysis to support product and business decisions.
• Design and analyze A/B tests and feature experiments.
• Work closely with Product Managers, Marketing, Finance, and Engineering teams.
• Validate data quality and investigate anomalies.
• Automate recurring reports and improve reporting processes.
• Present insights and recommendations to stakeholders in a clear and actionable way.

Tech Stack

• SQL
• Python (Pandas, NumPy)
• Power BI / Tableau / Looker
• PostgreSQL
• BigQuery / Snowflake (nice to have)
• Google Analytics 4
• Amplitude / Mixpanel
• Excel / Google Sheets
• Git (nice to have)

Requirements

• 2+ years of experience as a Data Analyst, Product Analyst, or Business Analyst.
• Strong SQL skills and experience working with relational databases.
• Experience with BI and data visualization tools.
• Understanding of statistics and A/B testing methodologies.
• Strong analytical thinking and attention to detail.
• Ability to communicate complex findings in a simple and business-friendly way.
• Experience working with large datasets.
• Upper-Intermediate English or higher.

Nice to Have

• Experience in Gaming, FinTech, SaaS, or E-commerce.
• Experience with product analytics platforms (Amplitude, Mixpanel, GA4).
• Python for data analysis and automation.
• Knowledge of predictive analytics.
• Familiarity with blockchain or Web3 products.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work with AI, Web3, blockchain, and cutting-edge analytics solutions.
• Career growth within a fast-growing international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the heart of every product decision. You'll have the opportunity to work with modern technologies, influence business strategy, and help build products used by a global audience while collaborating with an international team of talented professionals.

Phoenix Games is a technology company building next-generation iGaming and Web3 products for a global audience. We leverage AI, cloud technologies, blockchain, and advanced analytics to create intelligent, data-driven gaming experiences.

As we continue to scale, we're looking for Data Engineer / Data Scientist to help us build modern data infrastructure, develop machine learning solutions, and turn massive volumes of data into actionable insights.

What You'll Do

• Design, build, and maintain scalable data pipelines and ETL/ELT processes.
• Develop and optimize data warehouses and data lake architectures.
• Collect, clean, and transform large datasets from multiple sources.
• Build predictive models, recommendation systems, and analytical solutions.
• Apply machine learning techniques to improve player engagement, fraud detection, personalization, and business intelligence.
• Design dashboards and reporting solutions for business stakeholders.
• Collaborate with Product Managers, Engineers, and BI teams to define data-driven strategies.
• Optimize data processing performance and ensure data quality.
• Implement monitoring, validation, and governance for data pipelines.
• Research and evaluate new AI and machine learning technologies.

Tech Stack

• Python
• SQL
• PostgreSQL
• Snowflake / BigQuery / Redshift
• Apache Airflow
• Spark
• Pandas
• NumPy
• Scikit-learn
• TensorFlow / PyTorch
• MLflow
• Docker
• Kubernetes
• AWS / Azure / GCP
• Git
• Power BI / Looker / Tableau

Requirements

• 2+ years of commercial experience in Data Engineering, Data Science, or Machine Learning.
• Strong Python programming skills.
• Advanced SQL knowledge.
• Experience building scalable data pipelines.
• Experience with cloud data platforms.
• Strong understanding of data modeling and database design.
• Experience with machine learning algorithms and model evaluation.
• Experience working with large datasets.
• Familiarity with Docker and cloud environments.
• Strong analytical and problem-solving skills.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with LLMs, Generative AI, or AI agents.
• Knowledge of real-time data streaming (Kafka, RabbitMQ).
• Experience with feature engineering and MLOps.
• Experience with fraud detection or recommendation systems.
• Familiarity with blockchain analytics or Web3 ecosystems.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, conferences, and books.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on AI, Web3, blockchain, and large-scale data platforms.
• Clear career growth opportunities within a rapidly expanding international product company.

Why Join Phoenix Games?

At Phoenix Games, data is at the core of every product decision. You'll work with modern technologies, solve complex data challenges, and help build intelligent systems that power the next generation of online gaming.

If you're passionate about data engineering, machine learning, and creating impactful AI-driven solutions, we'd love to hear from you.

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. We combine AI, blockchain, and cloud technologies to create engaging, secure, and high-performance digital experiences.

We're looking for a talented iOS Developer to help build world-class mobile applications that deliver exceptional user experiences and support millions of users worldwide.

What You'll Do

• Develop and maintain native iOS applications using Swift.
• Build scalable, secure, and high-performance mobile solutions.
• Collaborate closely with Product Managers, Designers, Backend Developers, and QA Engineers.
• Integrate REST APIs, WebSockets, and third-party SDKs.
• Optimize application performance, stability, and responsiveness.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and technical discussions.
• Contribute to application architecture and continuous product improvements.
• Stay up to date with the latest iOS technologies and best practices.

Requirements

• 3+ years of commercial iOS development experience.
• Strong knowledge of Swift.
• Experience building and maintaining native iOS applications.
• Experience with SwiftUI and/or UIKit.
• Experience integrating REST APIs.
• Understanding of mobile architecture patterns.
• Experience with Git.
• Strong problem-solving skills and attention to detail.
• Upper-Intermediate English or higher.

Nice to Have

• Experience in iGaming, FinTech, or high-load consumer applications.
• Experience with real-time features and WebSockets.
• Familiarity with Web3 or blockchain technologies.
• Experience with automated testing and CI/CD.
• Experience publishing applications to the App Store.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, books, and conferences.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on innovative AI, Web3, and mobile products with a global audience.
• Career growth opportunities in a fast-growing international product company.

Why Join Phoenix Games?

At Phoenix Games, you'll build modern iOS applications using the latest technologies in a collaborative, product-focused environment. You'll have the opportunity to influence product decisions, solve challenging technical problems, and contribute to innovative solutions that shape the future of digital entertainment.

Phoenix Games is an innovative technology company building next-generation iGaming and Web3 products for a global audience. We create scalable gaming platforms powered by AI, blockchain, cloud technologies, and modern backend architectures.

We're expanding our engineering team and are looking for Middle and Senior Java Developers who are passionate about building high-performance backend systems and solving complex technical challenges in a fast-growing product environment.

What You'll Do

• Develop and maintain scalable backend services using Java and Spring Boot.
• Design and implement RESTful APIs and microservices.
• Build reliable, secure, and high-performance applications.
• Collaborate with Front-end Developers, QA Engineers, Product Managers, and DevOps teams.
• Optimize application performance and database queries.
• Participate in architecture discussions and technical planning.
• Write clean, maintainable, and well-tested code.
• Participate in code reviews and continuously improve engineering practices.
• Contribute to CI/CD processes and cloud-based deployments.

Tech Stack

• Java 17/21
• Spring Boot
• Spring Cloud
• Hibernate / JPA
• PostgreSQL / MySQL
• Redis
• Kafka / RabbitMQ
• Docker
• Kubernetes
• AWS
• Git
• GitHub Actions
• REST APIs
• Microservices

Requirements

Middle

• 3+ years of commercial Java development experience.
• Strong knowledge of Java and Spring Boot.
• Experience building REST APIs.
• Experience with SQL databases (PostgreSQL or MySQL).
• Understanding of OOP, design patterns, and clean code principles.
• Experience with Git.
• Upper-Intermediate English or higher.

Senior

• 5+ years of commercial Java development experience.
• Strong experience with Spring Boot and microservices architecture.
• Experience designing scalable and high-load backend systems.
• Strong knowledge of PostgreSQL or MySQL.
• Experience with Docker and Kubernetes.
• Experience with cloud platforms (AWS preferred).
• Experience mentoring developers and participating in architectural decisions.
• Strong understanding of performance optimization and distributed systems.
• Upper-Intermediate English or higher.

Nice to Have

• Knowledge of Kafka, RabbitMQ, or event-driven architecture.
• Experience with Redis and caching strategies.
• Familiarity with Web3 or blockchain technologies.
• Experience with CI/CD pipelines.
• Understanding of security best practices for backend systems.

What We Offer

• Fully remote work from anywhere in Europe.
• Long-term B2B cooperation.
• Competitive salary paid in EUR or USD.
• Annual salary reviews.
• Performance-based bonus program.
• Annual company bonus.
• 25 paid vacation days.
• Paid sick leave.
• Flexible working hours.
• Home office budget.
• Laptop or equipment allowance.
• Learning & development budget for courses, certifications, books, and conferences.
• English language lessons.
• Private health insurance.
• Mental health support program.
• Sports and wellness compensation.
• Team-building activities and international company retreats.
• Opportunity to work on cutting-edge AI, Web3, and cloud-based products.
• Career growth in a fast-growing international product company with a strong engineering culture.

Why Join Phoenix Games?

At Phoenix Games, you'll work with modern technologies, contribute to products used by a global audience, and have the opportunity to grow alongside an experienced international engineering team. Whether you're an ambitious Middle Developer looking to take the next step or a Senior Engineer ready to shape technical decisions, you'll find exciting challenges and real ownership here.

Phoenix Games is a next-generation technology company building innovative iGaming and Web3 products for a global audience. We combine modern web technologies, blockchain infrastructure, AI-powered solutions, and digital assets to create engaging gaming experiences used by players worldwide.

We're growing our engineering team and are looking for a talented Senior React Developer who enjoys building scalable products, solving complex technical challenges, and working in a fast-moving international environment.

What You'll Do

• Develop modern, responsive web applications using React and TypeScript.
• Build reusable UI components and scalable front-end architecture.
• Collaborate closely with Product Managers, UI/UX Designers, and Backend Engineers.
• Integrate REST APIs and WebSocket services.
• Optimize application performance and improve user experience.
• Participate in code reviews and technical discussions.
• Contribute to architectural decisions and engineering best practices.
• Help shape the future of our gaming platform.

Tech Stack

• React 18+
• TypeScript
• Next.js
• Redux Toolkit / Zustand
• React Query / TanStack Query
• Tailwind CSS
• Vite
• WebSockets
• REST API
• Git
• Docker
• CI/CD

Requirements

• 3+ years of commercial experience with React.
• Strong knowledge of TypeScript.
• Experience with modern state management libraries.
• Solid understanding of JavaScript (ES6+).
• Experience with REST APIs.
• Understanding of responsive design and cross-browser compatibility.
• Experience with performance optimization.
• Familiarity with Git workflows.
• Upper-Intermediate English or higher.

Nice to Have

• Experience with Next.js.
• Familiarity with blockchain wallets and Web3 integrations.
• Experience working in product companies.
• Knowledge of AI-powered frontend tools.

What We Offer

Fully Remote — work from anywhere in Europe.

Long-term B2B cooperation with a competitive compensation package.

Performance and annual salary reviews.

Individual bonus program based on company and personal results.

Annual performance bonus.

Paid vacation and paid public holidays.

Paid sick leave.

Modern equipment budget or laptop provided.

Home office allowance.

Annual learning & development budget for courses, conferences and certifications.

English language classes.

Private health insurance.

Mental health support program.

Wellbeing & sports compensation.

Team buildings, online events and international company retreats.

Flexible working hours with a healthy work-life balance.

Opportunity to work with cutting-edge technologies including AI, Web3 and blockchain.

International team with a startup mindset and product culture.

Real career growth opportunities as the company scales globally.

Why Join Phoenix Games?

We're building products from scratch using modern technologies, without legacy code or bureaucracy. Your ideas will matter, your code will reach thousands of users, and you'll work alongside experienced engineers who value ownership, quality, and innovation.

If you're passionate about React, enjoy solving challenging problems, and want to build the future of online gaming—we'd love to meet you.

Talk to English-speaking companies about Tender Navigator, help start new conversations and learn how B2B SaaS sales and business development actually work. No sales experience needed - we will teach you.

The role

We are looking for a English-speaking intern who enjoys talking to people and wants to learn how a B2B software company finds and wins its customers. This is a first job in tech, not a senior sales position - if you speak English (C1), are proactive and want to learn, we can teach you the rest.

You will help us reach companies and partners, start conversations, introduce what Tender Navigator does and spot the ones worth following up. Nobody will hand you a script and a target on day one: you will learn the product and the market with the team, and take on more as you get comfortable.

We are a small team, so your work is visible from week one and you get to see the whole picture - how a message turns into a conversation, a conversation into a demo, and a demo into a customer.

Languages

Fluent or strong English is the one thing we cannot teach you - you will be writing to and speaking with people in English-speaking markets.

What you will be doing

• Getting in touch with companies and potential partners.
• Starting conversations and introducing Tender Navigator in plain language.
• Helping spot companies that could genuinely benefit from the product.
• Supporting the team through the business development and sales process.
• Keeping your outreach and conversations organised so nothing gets lost.
• Passing on what you hear from the market to the product and marketing teams.
• Learning how B2B SaaS sales and business development work in practice, with the team.
•  

What we are looking for

Genuinely short list. Sales experience is not on it, and not having any will not count against you.

• Fluent or strong English.
• You enjoy talking to people and are comfortable starting a conversation.
• Active, energetic and proactive - you do not wait to be told what to do next.
• A real willingness to learn.

• Responsible, and able to organise your own work without someone checking on you.

   

What you will learn

• How a B2B SaaS company finds, qualifies and wins customers.
• How to open a conversation with a company that has never heard of you.
• How to listen for a real business problem behind a polite answer.
• How the tendering and public procurement market works, and who buys in it.
• How to work with modern sales and outreach tools - we will show you the ones we use.

This is a good fit if you are

• A student or a recent graduate looking for a first real role.
• Curious about startups, SaaS, sales or business development.
• Good with people and with words, with no formal sales background at all.
• Looking for a place where you will learn quickly and see the results of your work.

Nice to have, definitely not required

• Any experience talking to customers - retail, hospitality, support, volunteering, student societies. It all counts.
• An interest in technology, startups or how businesses buy software.
• Studies in business, economics, communication, languages or something adjacent.
• Other languages on top of English

Join Sigma Software to help build advanced machine learning solutions for one of the large-scale players in the programmatic advertising ecosystem. We are looking for a Senior Machine Learning Engineer with strong production ML expertise and deep interest in real-time optimization systems, large-scale behavioral data, and AdTech challenges.

In this role, you will work with a dedicated Sigma Software team on a predictive modeling platform integrated with a live ad exchange processing hundreds of millions of auction requests daily. You will contribute to sophisticated ML solutions involving bid optimization, calibration, counterfactual evaluation, and constrained decision-making systems.

We as a company offer the opportunity to work on technically challenging products, collaborate with experienced engineers and data scientists, and make a direct impact on large-scale production systems.

CUSTOMER

Our Customer is a technology company operating supply-side infrastructure within the programmatic advertising ecosystem. The company manages a high-scale ad exchange platform and is investing in predictive decisioning capabilities to improve advertising performance, audience targeting, and campaign optimization through advanced machine learning technologies.

PROJECT

The project focuses on building a predictive modeling and optimization platform on top of a live ad exchange environment. The platform evaluates and filters advertising supply in real time, predicts high-performing audience contexts, builds look-alike audiences from small seed datasets, and optimizes campaign performance across multiple business objectives and operational constraints.

The team works on complex machine learning challenges including censored bid-landscape modeling, sparse and delayed conversion attribution, calibration systems, counterfactual evaluation, and constrained optimization models. The solution is designed for large-scale production use and close collaboration with the Customer’s internal data science organization.

Job Description

• Build and improve censored bid-landscape models to estimate clearing-price distributions from partially observed auction data
•  Develop real-time win probability estimation models responsive to bid pricing dynamics
• Design and implement hierarchical lift estimation models with confidence-bound-based selection strategies
• Build conversion propensity models using sparse, delayed, and aggregate-only labels
• Develop look-alike audience modeling approaches using positive-unlabeled learning and embedding-based nearest-neighbor techniques
• Implement advertiser-level calibration strategies while independently monitoring ranking and calibration quality
• Design robust offline evaluation frameworks using inverse-propensity scoring, doubly-robust estimators, and importance reweighting
• Define exploration strategies and propensity logging approaches to ensure reliable downstream correction and evaluation
• Develop constrained optimization mechanisms for campaign objectives, pricing constraints, and volume targeting
• Contribute to data diagnostics, capability assessments, and evidence-based model recommendations
• Collaborate with the Customer team during post-launch tuning and performance validation cycles
• Prepare technical documentation and knowledge transfer materials for the Customer’s internal data science team
• Participate in architecture discussions and contribute to scalable ML platform design decisions

Qualifications

• 5+ years of experience in Machine Learning or Data Science with production-grade models measured against business KPIs
• Strong Python skills including numpy, pandas, and scikit-learn
• Strong SQL skills and experience working with large-scale datasets
• Deep practical experience with XGBoost, LightGBM, or CatBoost
• Strong understanding of regularization, calibration methods, and categorical feature handling
• Strong knowledge of probability, statistics, confidence intervals, and statistical power analysis
• Experience with feature engineering for structured and behavioral datasets
• Hands-on experience with Spark or PySpark
• Practical knowledge of experimentation frameworks and A/B testing methodologies
• Experience with advanced validation approaches including temporal splits, leakage detection, drift analysis, and slice-based metrics
• Understanding of explainability techniques such as SHAP and permutation importance
• Upper-Intermediate English level or higher

WILL BE A PLUS

• Experience in AdTech modeling including CTR/CVR prediction, bid-landscape modeling, audience segmentation, and RTB mechanics
• Experience working with sparse, delayed, or censored labels
• Knowledge of attribution modeling, survival analysis, and positive-unlabeled learning
• Practical experience with counterfactual and off-policy evaluation techniques
• Understanding of calibration methods including isotonic regression and Platt scaling
• Experience with hierarchical, empirical-Bayes, or partial-pooling models
• Knowledge of constrained or multi-objective optimization approaches
• Experience with uplift modeling and causal inference methods
• Experience with Vertex AI or similar managed ML training environments
• Publications, competitive modeling achievements, or open-source contributions related to Machine Learning or AdTech

PERSONAL PROFILE

• Strong analytical and problem-solving skills
• Ability to work effectively in a highly data-driven environment
• Strong communication and stakeholder management abilities
• Ability to explain complex modeling decisions to technical and non-technical audiences
• Proactive mindset with strong ownership mentality
• Attention to detail and scientific rigor in experimentation and evaluation

About the Role

We are looking for a skilled Back-End Developer to join our development team. You will design, build, and optimize high-performance backend services powering gaming platforms,  and user management modules. The ideal candidate is passionate about clean, scalable architecture and enjoys solving complex technical challenges in a fast-paced environment.

Key Responsibilities
Design, develop, and maintain backend services and APIs for gaming, payment, and user systems
Ensure system scalability, reliability, and performance under high load
Integrate third-party services (payments, KYC, risk, game providers)
Write clean, maintainable, and testable code following best practices
Participate in code reviews and mentor junior developers
Collaborate with front-end, DevOps, QA, and product teams to deliver end-to-end solutions
Contribute to architectural decisions and technology selection
Optimize database queries and improve data flow efficiency
Monitor and troubleshoot production systems and application performance.

Requirements
 

Must-have:
3–5+ years of professional experience in back-end development (for Middle/Senior); 5+ years for Senior
Strong knowledge of PHP8 and Laravel
At least 3 years of experience with GO
Experience with RESTful APIs
Solid understanding of SQL/NoSQL databases (PostgreSQL, MySQL, Redis, MongoDB)
Knowledge of microservices architecture, event-driven systems, and message brokers (Kafka, RabbitMQ)
Solid experience with ELK and Unit Tests coverage
Experience with Git, Jira, Confluence
Understanding of security, authentication, and data protection principles
Strong problem-solving and debugging skills.

Nice-to-have:
Experience of using Clickhouse
Experience with any of the following: Lumen, Laravel Octane, Swagger, Gitlab, New Relic, Laravel Telescope
Experience working in high-load or real-time systems (iGaming, fintech, betting, etc.) is a big plus.

We offer
Fully remote work opportunity
Enhanced leave benefits:
20 days of paid vacation
5 paid days off
14 paid sick leaves
Company clubs & communities
Celebration gifts for personal milestones
Corporate online events, raffles & challenges
Corporate English program
Corporate yoga classes
Team-building activities
Coworking compensation
Training and development programs (internal & external).

We are seeking a Senior Python + Data Systems Engineer for a US-based SaaS company in marketing analytics.

Please note that the working hours for this position are until 11 PM Kyiv time.

About the Client

The client is an American SaaS company in marketing analytics. Its platform helps e-commerce brands understand which ad spend truly drives revenue. It collects tracking data, combines it with data from major ad platforms, and uses ML modeling to turn it into reporting.

The company’s customers spend millions per month on advertising, so data volumes are large and business decisions depend on data accuracy.

About the Project

There are several projects in progress:

• Conversion API (main project): reprocessing tracking signals and delivering them to ad-platform APIs in real time. Each platform’s API works differently and has its own quirks, so integrations require careful work. Stack: Python streaming, Google Pub/Sub, Shopify JS tracking.
• Mobile attribution SDK (greenfield): a new SDK for JavaScript and iOS.
• Analytics data pipelines: pipelines built as part of the SaaS product, not internal BI.
• Full-stack product development: application features and integrations.

Requirements:

• 7+ years of commercial experience with Python in production at Senior level. 
• Strong SQL skills. You are confident working with complex queries and large data volumes, as data accuracy directly drives clients’ business decisions
• Hands-on experience building and maintaining integrations with third-party APIs
• Experience with streaming or event-driven systems (message queues, pub/sub, real-time data processing), as the main project delivers tracking signals to ad platforms in real time
• Experience with GCP and BigQuery
• Track record of building customer-facing products, not just internal tools or dashboards
• Experience with SaaS products used by external customers is a strong fit
• Ability to design engineering abstractions and discuss architectural decisions with the team, explaining trade-offs
• Fluent English (C1) for daily communication with the US team: syncs, technical discussions and written communication

Nice-to-have:

• Experience with Snowplow or OpenSnowcat
• Experience with Conversion APIs
• Background in marketing analytics and e-commerce

• Experience with Google Pub/Sub and Airflow

   

Responsibilities:

• Work as a backend-heavy engineer on integrations, APIs, services and streaming pipelines
• Develop the Conversion API: reprocess tracking signals and deliver them to ad-platform APIs in real time, handling the specifics of each platform’s API
• Build analytics data pipelines as part of the SaaS product
• Contribute to architecture discussions and engineering abstractions

Responsibilities: 

1. Ownership

   Be the analytics counterpart for a product domain 1:1 chat, content packs, negotiations, live streaming — you become the person PMs and engineers come to for any number in that area, and the person accountable when it's wrong.

2. Experiments

   Run A/B tests on product features, end to end Turn a product hypothesis into a test: primary and secondary metrics, the minimum effect worth detecting, and the audience. Confirm the population split and assignment events are genuinely correct before trusting the readout. Monitor it while it runs, then deliver a clear ship / don't-ship call and the reasoning behind it. This is a large part of the job, not an occasional project.

3. Pipelines

   Build and maintain the datasets behind your domain Write production transformations as SQL and YAML pipeline config, with freshness, uniqueness and validity checks. Your work goes through code review like any engineer's.

4. Events

   Specify instrumentation before it's built Write the BI event spec for new features across Android, iOS and Web; then verify after release that events actually fire the way the spec said, and chase the gaps when they don't.

5. Dashboards

   Own dashboards and the models under them

   Including retiring the ones nobody opens. A dashboard with no reader is a cost, not an asset.

6. Analysis

   Investigate what moved and why Revenue and conversion anomalies, feature performance, behavioural questions from PMs. Present findings to people who will act on them.

7. Incidents Size production incidents under time pressure When something breaks, you're asked how many users were affected and for how long — quickly, and precisely enough to defend the number when engineering disagrees with it.
8. Cost Keep query and pipeline cost honest Partitioning, clustering, and knowing why a query scans what it scans. Warehouse capacity is shared and finite; an expensive pipeline is everyone's problem.

Requirements:

• Advanced SQL, including window functions and multi-source joins — and the ability to reason about what a query costs, not only whether it returns.
• A strong experimentation background. Hypothesis testing, confidence intervals, power and minimum detectable effect — and the failure modes: peeking at a running test, multiple comparisons, hunting for a segment where the result works. You should also be the kind of person who checks that the experiment itself is sound before trusting its numbers.
• 3+ years as a product or data analyst on consumer products, with real exposure to both mobile and web.
• Critical use of AI analytics tooling. We use an internal Claude-based layer over BigQuery heavily. We want someone who checks what it produces before passing it on.
• Comfort shipping code: git, merge requests, reading and reviewing someone else's SQL. You'll write production pipeline code, not only notebooks and queries.
• Working knowledge of product event tracking: what a well-specified event looks like, and why the same event behaves differently across platforms.
• English at B1 or above. You'll write specifications that engineers build from and present findings to product stakeholders, so clear written English matters more than fluent speech.

Strong advantage

• BigQuery specifically — partitioned tables, clustering, slot-based pricing.
• Airflow, dbt, or another orchestrated transformation framework.
• Having been the analyst on a production incident, not only in the post-mortem.

Nice to have

• Python with the usual statistical libraries — pandas, scipy, stats models.
• A BI tool such as Looker, Tableau, or Power BI — having built the models and dashboards, not only read them. We use Looker today but are moving off it, so the particular tool matters much less than having done the work in one.
• Data quality tooling such as Soda or Great Expectations.
• Experience in social, live-streaming, gaming or another engagement-driven consumer product.
   

We are seeking a Senior Fullstack Python + TypeScript Engineer for a US-based SaaS company in marketing analytics.

Please note that the working hours for this position are until 11 PM Kyiv time.

About the Client

The client is an American SaaS company in marketing analytics. Its platform helps e-commerce brands understand which ad spend truly drives revenue. It collects tracking data, combines it with data from major ad platforms, and uses ML modeling to turn it into reporting.

The company’s customers spend millions per month on advertising, so data volumes are large and business decisions depend on data accuracy.

About the Project

There are several projects in progress:

• Conversion API (main project): reprocessing tracking signals and delivering them to ad-platform APIs in real time. Each platform’s API works differently and has its own quirks, so integrations require careful work. Stack: Python streaming, Google Pub/Sub, Shopify JS tracking.
• Mobile attribution SDK (greenfield): a new SDK for JavaScript and iOS.
• Analytics data pipelines: pipelines built as part of the SaaS product, not internal BI.
• Full-stack product development: application features and integrations.

Requirements:

• Senior or Staff level, 7+ years of commercial experience in software engineering
• 5+ years of commercial experience with Python in production
• Strong TypeScript (React) skills for building application features on the frontend 
• Strong SQL and deep understanding of databases
• Full-stack experience: delivering product features and integrations end to end, across backend and frontend
• Experience with GCP and BigQuery
• Track record of building customer-facing products, not just internal tools or dashboards 
• Ability to design engineering abstractions and discuss architectural decisions with the team, explaining trade-offs
• Fluent English (C1) for daily communication with the US team: syncs, technical discussions and written communication

Nice-to-have:

• Experience with e-commerce and tracking analytics

• Experience with Google Pub/Sub and Airflow

   

Responsibilities:

• Work as a full-stack engineer on product features and integrations across frontend and backend
• Develop application features as part of full-stack product development
• Build integrations within the SaaS platform
• Contribute to architecture discussions and engineering abstractions

As an BD/Affiliate Manager in our SMS direction, you’ll own partner relationships in the Health vertical, focused primarily on the US market. Your main goals are to grow revenue from existing partners and to bring new ones on board. You’ll be the face of EPC Network for our partners: a confident, polished professional who understands how American business works, communicates naturally with US counterparts, and builds the kind of trust that turns one-off deals into long-term partnerships.

Key Responsibilities:

• Manage and grow a portfolio of existing affiliate partners in the Health vertical, primarily US-based, increasing volume, quality, and revenue from each relationship.
• Proactively source, pitch, and onboard new partners, networks, and advertisers to expand the vertical.
• Own the Health vertical end to end and become the go-to person for partners in this niche.
• Negotiate commercial terms, including CPA rates, caps, and payouts, to maximize performance and margin.
• Communicate with partners daily across calls, video meetings, voice messages, Slack, Telegram, and email, keeping response times fast and communication professional.
• Work with partial overlap with US business hours to stay available when partners need you.
• Represent EPC Network at industry events and conferences, and in partner meetings.
• Monitor partner performance, spot growth opportunities and risks early, and act on them.
• Collaborate with media buying, compliance, analytics, and finance teams to align on performance and strategy.
• Actively contribute to the growth and scaling of the SMS affiliate direction.

Requirements:

• Strong experience in affiliate marketing, partnerships, or business development in performance marketing.
• Proven experience working with partners in the US market. Experience with the UK, Germany, Denmark, or other Western markets is also highly relevant.
• Strong understanding of affiliate ecosystems and partner networks (e.g., ClickBank, BuyGoods, MaxWeb, Digistore24).
• Fluent spoken and written English C1+, with confidence in live calls and negotiations without predefined scripts.
• Understanding of US business culture and communication style: direct, fast, results-oriented.
• Confident, presentable, and professional manner, comfortable on camera and in high-stakes conversations.
• Strong negotiation skills and a commercial mindset.
• Proven track record of both retaining and growing existing accounts and closing new partnerships.
• High level of ownership and accountability for results.

Nice to Have:

• Experience with SMS traffic or SMS marketing is a plus.
• Background of living, studying, or working in the US or another English-speaking country is a plus.
• Experience in the Health vertical (wellness, supplements, health insurance, or similar) is highly preferred.
• An existing network of contacts in the Health affiliate space is a big plus.

What it means to be part of our Team:

• Multinational and intercultural experience
• Corporate library
• Growth opportunities, cutting-edge frameworks and technologies
• Plenty of engaging team-building and social events
• Bonuses according to the policy
• 21 paid vacation days & 14 paid sick leaves
• Cozy office in Warsaw available for you whenever you need it
• Coffee, tea, Red Bull, sweets, fruits, and more snacks

About the Role

We are looking for a Retention Specialist who will take ownership of retaining the sports betting audience through a loyalty program, gamification, and event-driven and seasonal campaigns.

This is a full-cycle, hands-on role: you come up with the mechanics yourself, build them in Smartico (segments, journeys, bonuses, gamification), launch them, and analyze the results yourself.

An important part of the context: there is currently no direct lead overseeing this role, so no one will be assigning tasks to you. You will set your own priorities based on the sports calendar, retention metrics, and insights from the data. Later, a Lead of Sports Retention Tribe will join and you will become part of their team, but during the first few months, this role is best suited for someone who does not need daily management.

Vertical specifics: sports retention revolves around the sports calendar. IPL, World Championships, major tournaments, and other key events create peak periods that require preparation weeks in advance. Between these peaks, the audience needs to be retained through regular engagement mechanics. The ability to work effectively within this rhythm is at the core of the role.

Responsibilities
Sports Loyalty Program
Own the sports loyalty program: mechanics, tiers, rewards, and economics.
Continuously develop and optimize the program: identify what drives retention, what does not work, and what should be changed — all backed by data.
Ensure alignment between loyalty and gamification so that the mechanics reinforce rather than conflict with each other.
Gamification
Design and launch gamification mechanics in Smartico: missions, tournaments, achievements, and leaderboards tied to sports events.
Connect gamification with bonus mechanics and the loyalty program.
Iterate based on engagement results: a mechanic either improves the target metric or is discontinued.
Event-Driven and Seasonal Campaigns
Own the sports event calendar: plan campaigns for key events such as IPL, global tournaments, and local peak periods weeks in advance rather than reacting at the last minute.
Manage the full campaign cycle: idea → mechanics → segmentation → setup in Smartico → launch → post-campaign analysis and economics.
Run seasonal campaigns between major peaks to retain and engage regular users during quieter periods.
Prepare briefs for the Content team, including requirements for copy and creatives.
 

Segmentation & Experimentation
Work with sports audience segmentation based on RFM, activity, and lifecycle. Every campaign should have a clearly defined segment — no generic “send to everyone” campaigns.
Use control groups by default: campaign impact should be demonstrated through uplift, not just absolute numbers.
Run A/B tests of mechanics, offers, and communications.
Analytics & Reporting
Regularly monitor retention metrics for sports cohorts using Smartico Data Studio.
Conduct post-campaign analysis for every campaign, including engagement, uplift, bonus costs, and overall campaign economics.
Provide regular reporting to management on the performance of the sports vertical.

The bonus budget is managed at a higher level within the organization. You will plan campaign costs and justify their economics, while final approval remains with the manager.

Role Metrics
Sports cohort retention: D7/D30 redeposit rate among sports bettors.
Event activation: percentage of the user base engaged in event campaigns and their activity during peak periods.
Bonus cost efficiency: campaign uplift versus control groups and cost per retained player.
 

Requirements
2+ years of experience in Retention/CRM within iGaming, including mandatory hands-on experience specifically with the sports betting vertical. Be prepared to discuss 2–3 campaigns: the event, mechanics, target segment, and achieved uplift.
Hands-on experience working with a CRM platform. Smartico is a strong advantage; Optimove, Fast Track, and Symplify are also relevant. You should be comfortable working with segments, journeys, bonus mechanics, and gamification.
Strong understanding of the betting audience: what drives sports bettors, how their behavior differs from casino players, and how their engagement cycle is structured around sporting events.
Solid analytical foundation: cohort analysis, control groups, dashboard interpretation, and basic bonus economics.
High level of autonomy: ability to build your own work plan based on the sports calendar and performance metrics without relying on externally assigned tasks. This will be assessed through a case during the interview.
English: sufficient for reading documentation and handling day-to-day professional correspondence.
 

Nice to Have
Knowledge of the Indian market and cricket audience, particularly IPL as the key annual peak.
Experience launching or relaunching loyalty programs.
Experience with gamification modules such as tournaments, missions, and leaderboards.
Understanding of responsible gaming restrictions related to communications and bonuses.
What We Expect in the First 3 Months

Within the first three months, we expect you to have:

Built and implemented an event calendar covering the next quarter.
Launched several full-cycle campaigns with post-campaign analysis and control groups.
Conducted a diagnostic review of the sports loyalty program and developed a data-backed improvement plan, including its economics.

Performance will be evaluated based on retention metrics and campaign uplift — not on the number of campaigns launched.

We offer
Fully remote work opportunity
Enhanced leave benefits:
20 days of paid vacation
5 paid days off
14 paid sick leaves
Company clubs & communities
Celebration gifts for personal milestones
Corporate online events, raffles & challenges
Corporate English program
Corporate yoga classes
Team-building activities
Coworking compensation
Training and development programs (internal & external).

About the Role

We are looking for a proactive and creative Retention professional who can join our team and put their modern marketing expertise into practice. We stay on top of market trends and follow established CRM framework standards.

The Retention Specialist will play a key role in shaping the strategy for engaging our customer base with promotional content, setting up and improving internal processes within the department, and, at times, making decisions with incomplete information.

Responsibilities
Plan the promotional and communication calendar;
Create and test customer segments, determining which customers to retain or reactivate and how;
Launch end-to-end promotional and bonus campaigns;
Prepare technical briefs for marketing content, including banners, emails, and copy;
Manage customer communications across multiple channels: SMS, email, push notifications, call center, and in-app messaging;
Analyze campaign performance and identify growth opportunities;
Develop and test hypotheses to improve existing retention mechanics;
Collaborate cross-functionally with Product, IT, Analytics, Customer Support, Design, Risk, and Marketing teams.
Requirements
Experience working with ESP, CRM, and/or CDP platforms; knowledge of Smartico would be a plus;
Understanding of marketing and retention mechanics in the betting and iGaming industries;
Strong analytical skills and experience with Power BI or Tableau;
Advanced Excel skills are required, including VLOOKUP and PivotTables;
Ability to analyze and segment customer databases and identify growth opportunities;
Understanding of key product metrics;
Knowledge of standards and benchmarks for direct communication channels;
Upper-Intermediate English (B2) or higher — you should be able to review English-language content, communicate with external vendors/contractors, and prepare clear technical briefs.
Nice to Have
Previous experience in betting and/or iGaming;
Experience working in an Agile environment;
Strong Excel reporting skills and the ability to create clear, visually appealing, and useful reports;
Basic understanding of statistics and probability theory;
A good eye for design and the ability to distinguish high-quality content from poor-quality content and provide clear feedback for revisions.

We offer:
-The opportunity for remote work from anywhere in the world.
-A friendly atmosphere and people who love their work.
-Managers interested in team member development.
-20 working days of vacation, 5 days off, and sick leave compensation.