Jobs at Djinni

We are looking for a strategic and commercially driven Product Manager to lead the development and success of our iGaming slot portfolio. You will own the product vision from concept to launch, working closely with business stakeholders, sponsors, designers, mathematicians, artists, developers, and casino operators to create engaging and commercially successful slot games.

The ideal candidate has a strong understanding of the iGaming market, slot mechanics, player behavior, and the game development lifecycle, combining market insight with data-driven decision making.

What You'll Do

• Define the product vision, strategy, roadmap, and game concepts for new slot titles.
• Collaborate with business stakeholders, sponsors, and cross-functional teams to define game mechanics, themes, and visual direction.
• Align product priorities with executive strategy by maintaining regular communication with Sponsors, the CEO, and senior stakeholders
• Work closely with Game Production and Commercial teams throughout the development lifecycle.
• Prioritize product initiatives based on market trends, business goals, player feedback, and commercial opportunities.
• Monitor game performance using analytics, tracking KPIs such as GGR, Bet Count, RTP, Retention, Session Length, and Feature Engagement, and drive continuous product improvements.
• Partner with Casino Managers and Commercial teams to gather market feedback, align product strategy with operator needs, and maximize game performance.
• Present upcoming and released games to casino operators, aggregators, and strategic partners, showcasing game features and commercial value.
• Prepare and deliver regular product updates, roadmap reviews, and KPI reports to Sponsors and the CEO, highlighting progress, risks, and strategic recommendations.

Who You Are

• 3+ years of experience as a Product Manager within the iGaming industry.
• Strong understanding of slot mechanics, RTP, volatility, player psychology, and monetization.
• Strong analytical skills with experience using product analytics and BI tools.
• Excellent communication, presentation, and stakeholder management skills.
• Comfortable working in an Agile environment and managing multiple projects simultaneously.
• Passion for creating engaging, innovative, and commercially successful slot games.

Extra Points For

• Experience managing a portfolio of iGaming slot games.
• Experience presenting products to casino operators or at industry events.
• Knowledge of regulated markets, certification processes, and operator requirements.
• Leadership experience and mentoring cross-functional teams.

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 business analyst to join our project to migrate from 1C to Odoo. The primary responsibilities of this role include analyzing current business processes, defining requirements, and overseeing the migration of data and processes to the new ERP system.

Full-time, long-term position.

Responsibilities:

— At least 2 years of experience as a business analyst or systems analyst;
—  Practical experience working with 1C;
—  Understanding of ERP systems and company business processes;
—  Experience participating in system automation or migration projects;
—  Skills in describing business processes (BPMN; UML is a plus);
—  Experience writing technical specifications and documentation;
—  Ability to work with large volumes of data;
—  Experience working with Odoo;
—  Experience migrating from 1C to Odoo;
—  Basic understanding of SQL (a plus);

— English intermediate.

What we offer:

— Competitive salary;

— Paid vacation and sick leaves;

— Paid day off (Ukrainian holidays);

— Ability to work from our cozy office;

— 8 hours working day, 5 days a week;

— Career growth potential;

— Free snacks, fruits, and drinks;

— Friendly team and corporate events.

Please send your CV here or via email

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

Fozzy Group is one of the largest trade industrial groups in Ukraine and one of the leading Ukrainian retailers, with over 700 outlets all around the country. It is also engaged in e-commerce, food processing & production, agricultural business, parcel delivery, logistics and banking.
 

The Foodtech team is looking for a Data Scientist to develop the Operational Analytics function for a fast growing food delivery business. In this role, you will focus on time series forecasting, regression modeling, simulation modeling, and end-to-end machine learning pipelines to support resource planning and operational decision-making.

You will be responsible for developing simulation-based models that serve as a foundation for a digital twin of operational processes, enabling scenario analysis, stress testing, and what-if simulations for capacity planning and operational optimization.

You will work closely with product, engineering, and operations teams to transform data into measurable business impact through production-ready ML and simulation solutions.
 

Job Responsibilities:

• Develop and implement time series forecasting models for resource planning (demand, capacity, couriers, delivery slots, operational load);
• Build regression and machine learning models to explain key drivers and support operational decisions;
• Apply a wide range of time series approaches from classical models (SARIMA, ETS, Prophet) and ML models (GB) to modern Deep Learning models (LSTM, Temporal CNNs, Transformers for TS);
• Design, build, and maintain end-to-end automated ML pipelines, deploy and operate models in production using AWS SageMaker;
• Orchestrate training and inference workflows with Apache Airflow;
• Analyze large-scale operational datasets and convert results into insights, forecasts, and actionable recommendations;
• Collaborate with product managers, engineers, and operations teams to define business problems and validate analytical solutions;
• Monitor model performance, forecast stability, and business impact over time.
   

Requirements:

• Bachelor’s Degree in Mathematics / Engineering / Computer Sciences / Quantitative Economics / Econometrics;
• Strong mathematical background in Linear algebra, Probability, Statistics & Optimization Techniques;
• At least 2 years working experience on Data Science;
• Experience of the full cycle of model implementation (data collection, model training and evaluation, model deployment and monitoring);
• Ability to work independently, proactively, and to decompose complex problems into actionable tasks.
   

Skills:

• Strong proficiency in Python with solid application of object-oriented programming (OOP) principles (modular design, reusable components, maintainable code);
• Solid experience in time series forecasting and regression modeling;
• Practical knowledge of:o Classical and ML forecasting techniques;
  o Statistical methods (hypothesis testing, confidence intervals, A/B testing);
• Advanced SQL skills (window functions, complex queries);
• Experience building automated ML pipelines;
• Understanding of MLOps principles (model versioning, monitoring, CI/CD for ML).
   

Nice to have:

• Hands-on experience with AWS SageMaker (training jobs, endpoints, model registry);
• Experience with Apache Airflow for data and ML workflow orchestration;
• Knowledge of Reporting and Business Intelligence Software (Power BI, Tableau);
• Experience working with large-scale production data systems.
   

What We Offer:

• Competitive salary;
• Professional & personal development opportunities;
• Being part of dynamic team of young & ambitious professionals;
• Corporate discounts for sport clubs and language courses;
• Medical insurance package.

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks (preferred) or Snowflake
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) або Snowflake
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Elbax is a fast-growing IT company building digital products without borders. Day after day, our team of experts works tirelessly to ensure our web and mobile applications not only meet but exceed user expectations.

The Role & Our Philosophy

We are looking for an SEO Specialist with an Entrepreneurial Mindset. We need a Middle+/Senior expert who is ready to be "hands-on" at every stage: from deep competitor analysis and coding tasks to site deployment and AI pipeline configuration. You are the owner of the result, evaluating SEO success not just by rankings, but by business growth and bottom-line impact.

Key Responsibilities:

• End-to-End SEO Management: Take full responsibility for project promotion in Tier-1 markets.
• Technical Execution: Independently deploy WordPress sites, handle basic coding tasks, and perform comprehensive technical audits.
• Research & Strategy: Conduct deep competitor analysis, identify growth opportunities, and rigorously test SEO hypotheses.
• Content & AI: Develop content strategies, including hands-on generation and refinement of copy using OpenAI/Claude, and maintain strict quality control of search results.
• Link Building: Design link-building strategies, source high-quality donors, and manage link equity distribution.
• Analytics: Monitor performance via GA4 and Google Search Console with a sharp focus on ROI and conversion rates.

Our Expectations:

• Experience: 2+ years in the iGaming niche (mandatory) with a portfolio of verified successful cases from the past year. We are also open to candidates from other high-competition niches (Crypto, Essay, etc.).
• Entrepreneurial Spirit: The ability to make independent decisions, justify strategies, and take full accountability for outcomes.
• Tech Stack: Proficiency in Ahrefs, Semrush, Screaming Frog, and WordPress.
• AI-Native: Proven experience using OpenAI, Claude, and other AI tools to automate SEO workflows.
• Hands-on Approach: A willingness to dive deep into the details (code, copy, settings) rather than just delegating tasks.

What We Offer:

• Professional Freedom: Minimal bureaucracy—if an idea is sound, we implement it immediately.
• Resource Base: Access to all necessary premium services and tools.
• Performance-Driven: A transparent bonus system tied directly to your achievements.
   

Ready to build the future of SEO with Elbax?

If you combine technical expertise with entrepreneurial drive and are ready to deliver results for Tier-1 projects, we want to see your CV.

We will promptly review your experience and reach out to discuss the details. Join the Elbax expert team!

N-iX is looking for Chinese Annotator to join our team. Our customer is used by our clients to stay on top of threats to their business. In our tools, they can create alerts or search, analyze and process the cybersecurity information we are providing. Analytics team is responsible for analysis and structuring of text information in different languages.
Basing on this information solution defines possible risks for different areas of customer's work.

Responsibilities:

• Work on engaging in the accurate and efficient annotation of text data using the provided tools
• Support researchers in training deep learning models through accurately categorizing content and annotating data
• Report and document issues faced from data annotation to team and discuss solutions to improve data
• POS-tagging and lemmatization

Qualification:

• Good English level
• Good speaking and reading level of second language - Chinese
   

Good to have:

• Education level in philology
• Some certifications for Chinese language level.

We offer*:

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

*not applicable for freelancers

Hravity team is looking for a Data Researcher / Lead Generation Specialist who will be responsible for generating a consistent stream of new qualified prospects.

Hravity is an IT talent provider helping customers build their engineering teams and sustain them in the long run of product development while being the single contact point for hiring and growing the team. Established in 2011, we are also one of the oldest technical recruitment agencies in Eastern Europe, where we help with opening offshore R&D offices.

The company was created by information technology specialists and built with a focus on expertise at its core. Our essential skill and killer feature is based on a versatile assessment system. It gives us the foundation to provide top-level service by effectively fulfilling all positions, including the most complex ones, unexceptionally.

During the past decade, we’ve developed one of the largest engineering talent networks, helped over 100 customers to grow their teams, and raised our average record to the outstanding number of 10 hires per customer per year.

WHAT YOU’LL DO:

— Develop and execute lead generation strategies to provide robust support to the sales team

— Utilize a variety of online and offline resources to research and identify potential leads

— Manage cold email and LinkedIn campaigns using automation tools to optimize outreach and engagement

— Collaborate closely with the marketing and sales teams to ensure alignment of messaging and lead generation efforts. This includes creating target lists and developing outbound campaign strategies

— Develop and maintain lead generation reports and dashboards to effectively track progress and identify areas for improvement

— Stay up-to-date with industry trends and best practices in lead generation and sales to continuously refine and enhance our strategies

WHO YOU ARE:

— We’re looking both for experienced specialists and for highly motivated juniors ready to grasp knowledge and proactively execute set goals

— Good command of English

— Ability to work autonomously and with minimal direction in a highly ambiguous and fast-paced environment (being a competitive and inner-driving self-starter with well-developed planning skills, good execution discipline, and high focus on results)

— Advanced computer proficiency (touch-typing skills etc.) and IT-related education will be also considered as an advantage

OUR BENEFITS:

— Flexible work model and working hours (get things done with a balance of autonomy and collaborative teamwork — set your own work schedule and make use of a hybrid workplace cooperating remotely or in a coworking space in Kyiv)

— Unlimited vacations policy (based on mutual trust and keeping in mind the focus on results this policy grants the opportunity to take time-offs when you actually need it and with no limits)

— All needed equipment, tools and resources are provided (laptop, tablet/e-book, furniture, software, online resources, and whatever else you might need to show your best)

— Competitive monthly salary

— Social package (social insurance and gym coverage, lunches)

— Full tax and expenses coverage (IE single tax + single social contribution, cell phone, internet, transportation, etc.)

— Extensive learning opportunities (vast internal library and knowledge base, English courses, annual education budget)

— Bullshit-free atmosphere, friendly and supportive environment, straightforward processes, and flat hierarchies with little to no bureaucracy

HRAVITY is seeking an experienced Data Sourcing Specialist with ABM expertise to join our commercial team. In this role, you will take ownership of our customer database, overseeing its continuous expansion and refinement to support our daily and long-term lead generation, sales, and marketing efforts.

Ideal candidates should be proficient in sourcing and enriching data from various sources, excel in database management with a strategic mindset, and have a knack for identifying buying signals and social selling opportunities. A background in data sourcing for competitor analysis, influencer marketing, and link-building would also be a valuable asset.

—

This role is ideal for those who take pride in accuracy and enjoy analyzing and organizing data; have a strong sense of ownership, and understand the value and product of a well-maintained internal database. Who value the role of strong foundations and are driven by seeing how their efforts directly contribute to empowering others and driving success.

What am I going to do?

• Identify and add companies with a high demand for recruitment services to our database, ensuring alignment with our Ideal Customer Profile.
• Source and add prospects and warm-up contacts to the database, including gathering their contact information and social profiles.
• Search for and track buying signals such as open vacancies, hiring posts, funding rounds, or other indicators of growth that suggest a potential need for our services.
• Monitor and search for new posts, comments, and other engagement opportunities that could serve as quality triggers for social selling or awareness interaction.
• Enrich the database with data from various external sources and regularly update and maintain it to keep information accurate and current.
• Conduct data qualification to focus lead generation efforts — from high-priority ones requiring immediate action to those of low relevance or requiring further nurturing.
• Collaborate with the lead generation team to support outreach and engagement strategies by providing a stream of qualified interaction opportunities.
• Build and maintain databases of competitors, influencers, media partners, and resources, as well as websites for posting SEO materials and similar.
   

What are the qualifications?

• 2+ years of proven experience in data sourcing and lead generation, preferably with experience in the US and EU markets.
• B2 level of English is required to guarantee the quality of the information in database, as well as data sourcing process velocity and quality of interaction with colleagues.
• Robust understanding of the ABM approach, its structure, and long-term goals. As well as the value of a qualified database in its successful implementation.
• A deliberate sense of ownership of tasks in the long run, having a product mind with excellent self-management skills and a focus on great results.
• Proficiency in using of misc data sourcing and enrichment tools and technologies, both manual and automated, to source, clean, and enhance data effectively.
• Experience working with large volumes of information, while maintaining high velocity of data sourcing process, as well as quality of data in the database.
• Strong analytical skills and zero brain-fog tolerance. Ability to perform detailed analysis at scale and interpret information while maintaining accuracy and efficiency.
• Any background in information technologies as well as experience in setting automations will be treated as a strong advantage.

What are the working conditions?

• Remote-first setup, flexible working hours and unlimited vacation policy
• Supportive and collaborative atmosphere with flat hierarchies and BS-free environment
• Full tax and expense coverage, all necessary equipment, tools, and resources
• Competitive base salary with generous performance-based bonuses
• Comprehensive insurance coverage, gym memberships, office lunches, and more
• Annual educational budget for professional development

HRAVITY is looking for an experienced sales development representative to strengthen our commercial team, a forefront person, who will initiate customer communication, shaping crucial first impressions and service experience.

This position revolves around business writing and is particularly suited for candidates with a background in journalism or copywriting, motivated to refine their business writing skills on a larger scale with continuous feedback.

Recruitment specificity of the company business makes this role pivotal, since customers will appraise our communication expertise through your interactions, gauging our ability to engage with candidates on their behalf.

—

Ideal candidates should excel in commercial correspondence, prioritizing service, atmosphere, customer discovery, and attention to detail, as well as have proficiency in both personalized and template-based automated approaches. Additionally, they should have a strong grasp of lead generation processes, experience in social selling, familiarity with ABM routines, and elaborate self-management skills.

 

What am I going to do?

• Handle inquiries generated through lead generation efforts via emails, LinkedIn, and other channels promptly and effectively
• Communicate with prospects, conducting initial email discovery and guiding them through the process leading to meetings or follow-up discussions.
• Implement and oversee a systematic follow-up strategy to ensure ongoing engagement with potential clients, reminding them of previous discussions and promoting our services.
• Proactively engage with priority prospects on social media platforms, leveraging social selling techniques to nurture relationships and drive business opportunities.
• Work closely with recruitment leads and the marketing manager to align communication efforts with content plan, sales strategy and brand vision, ensuring consistency and effectiveness.
• Maintain and update our customer database, setting tasks and coordinating with the lead generation team to optimize outreach efforts.
• Develop compelling and targeted messages for lead generation campaigns, tailored to resonate with our target audience.
• Collaborate with the lead generation team on automation efforts, establishing lead generation priorities and developing a comprehensive plan.
  
   

What are the qualifications?

• 2+ years of proven experience in business development and lead generation across global markets, with a preference for experience in the US and EU.
• C1-level English proficiency is expected. Exceptional business correspondence skills will be considered with B2-level, valuing your ability to professional communications.
• Strong ability to work effectively in diverse cultural settings, demonstrating respect for cultural differences and adapting communication styles accordingly to build rapport and trust.
• Well-developed logical and critical thinking competencies, with strong argumentation skills to analyze complex situations, make sound assumptions, and articulate your reasoning clearly.
• Ability to maintain a service-oriented approach in communication, focusing on understanding and addressing customer needs while consistently considering the perspective of others.
• Excellent self-management and a proactive, entrepreneurial mindset, demonstrating the ability to work autonomously in a fast-paced environment, with a drive for results and innovation.
• Advanced computer proficiency, with a strong willingness to learn new tools and technologies in your niche daily, enhancing your ability to stay ahead in a tech-driven industry.
• Understanding of sales strategies and techniques specific to the premium segment services, enabling you to engage with high-end customers and tailor your approach to their needs.
   

What are the working conditions?

• Remote-first setup, flexible working hours and unlimited vacation policy
• Supportive and collaborative atmosphere with flat hierarchies and BS-free environment
• Full tax and expense coverage, all necessary equipment, tools, and resources
• Competitive base salary with generous performance-based bonuses
• Comprehensive insurance coverage, gym memberships, office lunches, and more
• Annual educational budget for professional development

We are looking for a Head of Revenue Growth. You will own the full revenue engine across a portfolio of mature, monetizing platforms in social discovery and live-streaming, not one funnel, not one channel, but the whole picture. That means P&L accountability, paid acquisition across mobile and web, monetization strategy, product growth experiments, and the unit economics that tie it all together. You will work directly with the CEO, Head of Marketing, Head of DS & AI, and five Product Owners . We move fast, cut through bureaucracy, and give real ownership to people who can handle it. If that sounds like your kind of environment, read on.

About United Tech: We are a global IT product company building the next generation of mobile and web platforms in live-streaming and social networking. Our products connect millions of users across North America, Europe, LATAM, and MENA, and we have been profitable doing it. Founded in Ukraine, operating worldwide, with a market we expect to exceed $206B by 2030. We are not chasing that number, we are already in the middle of it.

In this role, you will

• Own the full revenue funnel and its P&L from acquisition to repeat payments — accountable to ROAS LT0/LT7/LT30 targets and blended payback
• Develop and execute the revenue growth strategy across paid traffic (mobile + web), product growth, and monetization, owning channel mix, budget allocation, and scaling decisions
• Generate, prioritize, and validate growth and monetization hypotheses with Product and Tech, driving prioritization of Product Owner backlogs for growth work
• Lead A/B and multivariate testing across onboarding, activation, paywalls/coin-packs, and pricing
• Own unit economics (CAC, LTV, ARPU, ARPPU, ROAS, payback) and the cohort LTV model; ensure scalable, margin-aware growth given streamer revshare
• Partner with Payments and Risk to maximize payment conversion and approval rates, and expand margin-accretive web/direct billing

• Build revenue dashboards and a single source of truth for performance metrics, with shared metric definitions and transparency across teams

   

It's all about you

• Strong hands-on experience in growth / performance marketing for dating, social discovery, live-streaming, or IAP products, across both mobile apps and web funnels
• Demonstrable strong command of unit economics (CAC, LTV, ARPU, ARPPU, ROMI, payback, contribution margin) — able to build the model, not just read it
• Proven experience scaling paid acquisition on mobile and web: Google, Meta, TikTok, and programmatic/DSP (e.g., Moloco) are a strong advantage
• Solid experience with A/B testing, experimentation frameworks, and funnel optimization
• Strong analytical foundation: SQL and BI tools (e.g., Looker/Tableau), cohort analysis, predictive LTV; working knowledge of mobile attribution/MMP (AppsFlyer/Adjust), web analytics and server-side tracking (GA4, Meta CAPI), web2app deep-linking, and incrementality testing
• Experience managing growth, marketing, or media-buying teams
• Advanced user of Anthropic and OpenAI tools
• Fluent in English (B2+) and Ukrainian

Would be a plus

• Experience in payments, payment product management, or working closely with PSP/acquiring teams

What we offer

Care and support:

• 20 paid vacation days, 15 sick leave days, and 6 additional days off for family events
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Maternity Recovery Support Allowance
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here – so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Interview with the hiring team
• Bar-raising interview
• Reference check
• Offer

We’re looking for a Senior Machine Learning Engineer to design and scale production ML systems that power real-time personalization and decision-making at scale.

In this role, you’ll own the full ML lifecycle—from transforming raw behavioral data into meaningful features, to deploying low-latency prediction APIs, to building the observability needed to keep models reliable in production.

This is a great opportunity for someone with strong applied ML and MLOps expertise who enjoys solving complex engineering challenges and building scalable, high-impact systems.

Your responsibilities will include:

• Build and productionize ML models for ranking, personalization, and customer engagement.
• Develop pipelines that transform behavioral, demographic, and contextual signals into online and offline features.
• Design and deploy low-latency APIs and decision services for real-time decision-making.
• Implement experimentation frameworks, including A/B testing and exploration-exploitation strategies.
• Operationalize the ML lifecycle: automated training, CI/CD for models, artifact and feature versioning, and online/offline parity.
• Build observability into ML systems by monitoring data quality, model drift, and decision outcomes, and triggering retraining when needed.
• Establish closed feedback loops that connect decisions to business outcomes (e.g. conversions, engagement, fatigue signals such as unsubscribes).
• Collaborate closely with product and engineering teams to balance personalization, compliance, and business value in real-world systems.

What we expect from you:

• 5+ years of experience in applied ML engineering (recommendation systems, personalization, ranking, or advertising systems).
• Strong proficiency in Python or Go, SQL, and modern ML frameworks such as TensorFlow, PyTorch, or similar.
• Strong understanding of MLOps best practices, including CI/CD for ML, containerization (Docker), orchestration (Kubernetes, Airflow, Kubeflow), model registries, and monitoring frameworks.
• Familiarity with cloud ML platforms such as Vertex AI, SageMaker, or similar, and data warehouses like BigQuery, Snowflake, or Redshift.
• Experience deploying real-time ML systems, including low-latency serving, feature stores, and event-driven architectures.
• Understanding of multi-objective optimization and trade-offs in personalization systems.
• Comfort working cross-functionally in a dynamic startup environment with the overlap within USA time zone.
• Strong spoken and written English communication skills.

Nice to have:

• Experience in martech, adtech, CRM, or large-scale personalization platforms.
• Exposure to bandit algorithms, reinforcement learning, or causal inference for adaptive decision-making.
• Experience building systems serving millions of users at scale.
• Hands-on experience with Google Cloud Platform (GCP).
• Familiarity with observability tools such as Prometheus, Grafana, Evidently, WhyLabs, or Great Expectations for monitoring data and model health.

What we offer:

• Interesting projects and technical challenges that support both professional and personal growth.
• A long-term project with stability and impact.
• A flexible, results-oriented schedule with hybrid or remote work options.
• A comfortable, modern office in Kyiv with generator and battery backup.
• Competitive salary, medical insurance, and a supportive onboarding/trial period.
• Team-building events, including parties, online activities, picnics, and more.
• The opportunity to work in a Top Employer company (DOU 2025).

We are looking for a proactive Middle / Middle+ Link Building Specialist to join our SEO team and drive the growth of our backlink profile across international markets. You will be responsible for developing and executing effective off-page SEO strategies, building relationships with publishers and webmasters, identifying high-quality link opportunities, and leveraging AI-powered tools to optimize workflows and improve efficiency.

If you are passionate about SEO, understand modern link-building best practices, and enjoy combining data-driven decision-making with AI automation, we’d love to hear from you.

Responsibilities

• Develop and execute scalable link-building strategies aligned with SEO and business goals.
• Research, identify, and evaluate high-quality backlink opportunities across relevant niches.
• Conduct competitor backlink analysis and discover new link acquisition opportunities.
• Perform outreach to website owners, editors, bloggers, and publishers to secure high-quality placements.
• Build and maintain long-term relationships with partners and content publishers.
• Manage guest posting, niche edits, digital PR, and other white-hat link-building campaigns.
• Evaluate backlink quality using key SEO metrics such as Domain Rating (DR), referring domains, organic traffic, topical relevance, and spam indicators.
• Monitor backlink health, indexing status, anchor distribution, and lost links.
• Collaborate with SEO and Content teams to create effective linkable assets and optimize anchor strategies.

• Track campaign performance, prepare reports, and continuously optimize link-building efforts

   

Requirements

• 2+ years of experience in Link Building, Off-page SEO, or a related SEO role.
• Strong understanding of Google’s ranking factors and modern white-hat SEO practices.
• Hands-on experience with tools such as Ahrefs, Semrush, Google Search Console, Google Analytics 4, and Google Sheets.
• Experience with outreach tools (Hunter.io, Snov.io, BuzzStream, Pitchbox, or similar).
• Strong analytical skills with the ability to assess backlink quality and identify growth opportunities.
• Experience working with international websites and English-speaking markets is a strong advantage.

• В2 English (written communication is essential).

   

AI & Automation

We value specialists who actively leverage AI to improve productivity and scale their work.

Experience with the following is highly desirable:

• AI-assisted prospecting and competitor backlink analysis.
• Creating personalized outreach emails with AI while maintaining high quality and authenticity.
• Using AI for data analysis, backlink evaluation, and reporting.
• Automating repetitive workflows using tools such as Make, Zapier, n8n, Google Apps Script, or similar.
• Understanding AI limitations and validating outputs before implementation.

Nice to Have

• Experience with Digital PR and HARO-style campaigns.
• Familiarity with Screaming Frog or other SEO crawling tools.
• Basic knowledge of Technical SEO.
• Experience working with SaaS, Finance, or other competitive niches.

We offer:

• Paid vacation and sick leave
• We provide the equipment you need to work comfortably (if required)
• We cover 50% of courses if you want to grow professionally
• Regular salary reviews based on your performance
• Competitive salary, depending on your experience
• Always on-time payments — no delays
• A normal, supportive team without unnecessary bureaucracy

We are looking for a Data / Backend Engineer to architect and scale the core data infrastructure behind our healthcare marketing platform. In this role, you will design high-throughput data systems that process millions of behavioral events, power real-time attribution and user scoring, and enable precise targeting of healthcare professionals across 20+ channels.

You will work at the intersection of data engineering, backend systems, and marketing infrastructure, building scalable pipelines, tracking systems, and APIs that support analytics, segmentation, and campaign activation. The role also involves experimenting with AI-powered automation and agent-based workflows to improve internal operations and product capabilities.

This is a high-ownership position where you will shape architecture decisions, build critical platform components from the ground up, and help evolve our data platform as the company scales.

Responsibilities

- Architect and own data-heavy backend systems powering real-time attribution, user modeling, and scoring

- Build and evolve client-side tracking pixels (like FB pixel / Amplitude snippet / Heap autocapture) from scratch

- Set up and manage scalable ETL workflows: cleaning, merging, enriching, splitting, transforming across millions of behavioral events
Lead the build of CDP / CDXP-style data layers to support segmentation, scoring, and activation across channels

- Connect and compose systems using modern low-code / no-code tools (n8n) to accelerate ops

- Implement and maintain high-availability APIs for analytics, scoring, and campaign delivery

- Drive experimentation around AI-powered agents and automation tools that can boost internal workflows

Requirements

- System Design & Data Architecture:
Designs scalable, event-driven data platforms with strong decoupling, fault tolerance, and horizontal scalability. Builds real-time and batch pipelines using lakehouse architectures and streaming systems (Kafka / PubSub).

- Distributed Data Processing (Spark / BigQuery / Iceberg):
Expert in large-scale data processing, query optimization, and cost-efficient analytics. Deep understanding of Spark execution, partitioning, and modern table formats (Iceberg / Delta).

- Cloud & Infrastructure (GCP / Kubernetes):
Builds resilient cloud-native data platforms on GCP and Kubernetes using IaC, autoscaling, and secure access (IAM, Workload Identity).

- Python Engineering:
Develops high-performance Python services for data and ML workloads with focus on concurrency, clean architecture, and production-grade quality.

- Databases & Performance (PostgreSQL / OLTP):
Optimizes high-throughput OLTP systems through indexing, partitioning, and query analysis (EXPLAIN ANALYZE, MVCC).

- Reliability & Observability (SRE):
Implements resilient data systems with idempotency, retries, observability, SLOs, and incident management.

- AI / LLM Integration:
Integrates LLMs into production pipelines with structured outputs, caching, batching, prompt versioning, and evaluation.

- Workflow Orchestration (Airflow / Dagster):
Designs scalable DAG-based workflows with dependency management, retries, and reproducible backfills.

- CI/CD & DevOps for Data:
Implements safe deployments for data systems including schema migrations, canary releases, and data contracts.

- Ownership & Engineering Maturity:
Owns end-to-end production systems and architecture decisions while balancing delivery speed, quality, and technical debt.

Nice-to-have: 

- Experience in MarTech / AdTech platforms (e.g., DSPs, attribution systems, DMP/CDP tools)

- Deep knowledge of data matching/fingerprinting techniques (identity graphs, IP + UA resolution, hashed PII workflows)

- Strong prompt engineering skills — not just ChatGPT 101, but chaining, system prompting, tooling integration

What We Offer
- Fully remote with flexible hours (aligned with EU timezones for syncs).
- Influence on quality strategy across the entire engineering organization.
- A cross-team role with visibility into every part of the product.
- AI-first tooling.
- Claude Code licenses and cutting-edge AI development workflows. 
- A team with no bureaucracy, decisions are made fast.

Equals5 helps pharmaceutical companies run precisely targeted ad campaigns on social platforms by identifying healthcare professionals and the consumer signals that reach them. The Identity team builds the data, scoring, and targeting systems that make this possible.

We are looking for a Data Analyst  to join the Identity team at Equals5. This is not a standard analyst role. We are building a dynamic identity resolution system where AI is deeply integrated — both as a productivity multiplier and as a core component of our data processing logic for identity resolution and LLM-based scoring.

We run enrichment against 70+ TB of data, apply AI and LLM-based scoring on top, and process around 20 million enrichment operations per day across hundreds of thousands of records.

The analytical challenges ahead are substantial: how to measure the quality of AI-driven scoring, how to validate that a change makes the system better, how to know where our money and time deliver the most value, and how to turn the questions our internal teams bring in into fast data-backed answers. You will own this side of the business, working daily alongside engineers and the product lead to turn these challenges into decisions that ship.

The main part of the role is not building dashboards — it is the data work that makes a meaningful dashboard possible in the first place. Concretely, you will be:

• Looking at data from multiple vendors side by side and deciding what to trust.
• Reconciling entities across sources that have different shapes and quality.
• Proposing and validating the logic that matches and scores them.
• Defining metrics and ground truth for questions nobody has asked before.
• Tracing why numbers don't line up across partial and sometimes contradictory sources.

Dashboards and visualizations are part of how findings get communicated, but they come at the end — the surface of the work, not its core. Most of your time is spent on what sits underneath: methodology, judgment calls on data quality, and shaping how the domain understands its own numbers.

Responsibilities

• Measurement & Evaluation Foundations: Define how we measure what matters — data quality, the accuracy of our AI scoring, how many records actually get matched to usable signals, cost per outcome. Build the feedback loops that tell us whether a change makes the system better or worse.

• Scoring Intelligence (co-owned with engineers): Partner with the engineering team on the LLM-based scoring system. You will build the evaluation framework for AI scoring, run experiments comparing prompts, models, and approaches against a baseline, and make data-backed calls on where we invest next. Our AI scoring system is actively evolving — you will shape how we measure and improve it.

• Client-related Analysis: Own the analytical side of the work that internal sales and media-buying teams bring in from pharma clients — how reachable a target audience is, how good the data looks, why a campaign performed the way it did. You turn their questions into data-backed answers they can use. Identity is a product core; the analyst works with internal teams, not with clients directly.

• Cost and Value Analysis: Turn cost and value into product decisions. Which data sources and enrichment scenarios pay off, where we overspend, what to cache, what to cut. We operate a mix of free owned data and paid external providers — the decisions have real dollar impact.

• Active AI Usage: Use Claude Code and modern AI engineering tools to multiply your own output. Automate the repetitive parts of analysis so you can focus on the decisions. We provide Claude Code licenses and expect active daily use.

• Data Quality Response: When pipeline output drifts, a provider degrades, or upstream data shifts, you notice first, diagnose the root cause, and drive the fix. You treat data quality as a product, not a ticket queue.

Requirements

• 5+ years as a Data Analyst, Analytics Engineer, or Data Scientist in a product team (not consultancy, not BI-only roles).
• Advanced SQL at TB scale — BigQuery, Snowflake, or equivalent warehouse. You can read and write complex queries on tens of terabytes without someone pre-modelling the data for you.
• Python for analysis at a working level — pandas, Jupyter, or modern equivalents. Comfortable putting together a small script or helper when an existing tool doesn't cover your case.
• Built measurement or evaluation frameworks from scratch for systems that had no baseline. You are comfortable defining what and how to measure, not consuming someone else's KPI.
• Comfort with probabilistic systems. You understand that noise is inherent and 100% accuracy is not the goal — scoring, matching, ranking.
• AI-native workflow. You already use Claude Code, ChatGPT, Copilot, or similar AI tools daily and integrate them into your analytical process.
• English: B2+ (Upper-Intermediate) or higher.

Strong plus 

• LLM evaluation experience — A/B testing AI-powered features, output scoring, prompt iteration with measurable outcomes.
• Identity resolution / identity graph experience — adtech, martech, or customer data platform context (LiveIntent, LiveRamp, Epsilon, Experian Marketing, Acxiom, Merkle, or similar).
• Healthcare or pharma data — working with NPI, HCP-level data, healthcare taxonomies, pharma targeting.

Nice to have

• Experience running controlled experiments on data pipelines.
• Prompt engineering or structured LLM prompt design.
• Prior work in AI-first product companies.

What We Offer

• Fully remote with flexible hours, with working overlap in CET ±2 hours for syncs.
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech — both for daily work and as part of product logic.
• High-Impact Role: You will directly shape how we identify, score, and reach healthcare professionals — the core business of our domain.
• Small team, direct impact: You will work directly with Product and Engineering leads — no layers between you and the people making decisions.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.

We are looking for a Senior Data Engineer to join the Identity team at Equals5. This is not a standard ETL role. We are building a dynamic data ecosystem where AI is deeply integrated—both as a productivity multiplier and as a core component of our data processing logic for identity data enrichment and data scoring.

You will own the infrastructure that handles over 10,000 executions per minute, ensuring stability, scalability, and data integrity. You will work with a modern stack on Google Cloud Platform, utilizing Cloud Functions and Kubernetes.

We are looking for an engineer who improves infrastructure, automates everything, and is eager to implement LLM-based logic directly into high-load data flows.
 

Responsibilities

• AI-Driven Data Scoring: Design and implement pipelines that utilize LLMs to analyze and score identity data in real-time. You will integrate AI models directly into the decision-making loop, balancing accuracy with latency and cost.
• Own the Data Architecture: Architect scalable data solutions using GCP and Python. You will manage data storage and retrieval using BigQuery and Apache Iceberg to support querying of TBs of data.
• Heavy Data Processing: Utilize Apache Spark for data transformations and batch processing when lightweight cloud functions are not enough.
• Manage High-Load Orchestration: Maintain and optimize our system instances. It involves complex dataflows, custom Python nodes, and performance tuning for 10k+ execs/minute.
• Release Lifecycle (CI/CD): Take ownership of the deployment process, ensuring that updates to pipelines and infrastructure are released safely with proper testing and rollback strategies.
• Database Optimization: Manage PostgreSQL performance under heavy load, optimizing complex queries and indexing strategies.
• Active AI Usage: Use Claude Code and other AI engineering tools to accelerate your own development, refactoring, and testing processes.
• Incident Resolution: Proactively monitor the system. When alerts fire, you investigate the root cause—whether it’s a database lock or an LLM hallucination—and fix it permanently.
   

Requirements

• 4-5+ years of experience in Data Engineering or Backend Engineering with a strong data focus.
• Production AI Integration: Experience integrating LLMs (OpenAI, Anthropic, Gemini) into production applications via API. You understand latency, token limits, and how to structure data for AI scoring.
• Expertise in GCP: Understanding of Google Cloud Platform (Cloud Functions, IAM, Networking).
• Strong Python: You write clean, efficient, and testable code. You are comfortable building custom logic where standard tools fall short.
• Big Data Stack: Experience with BigQuery, Apache Spark, and modern table formats like Apache Iceberg.
• Kubernetes (K8s): Experience deploying and scaling services in containerized environments.
• Workflow Automation: Understanding of workflow orchestration tools at a deep technical level. N8N is a big part of our domain, so familiarity with it is highly valuable.
• PostgreSQL Mastery: Proven ability to handle heavy write/read loads and optimize schemas.
• English: B2+ (Upper-Intermediate) or higher.
   

Culture & Mindset

• Self-improvement: You are a fast learner. You don't fear AI replacing you; you master it to replace your manual tasks.
• Ownership: You treat the Identity domain as your own business. If a scoring model drifts or a pipeline slows down, you notice it and fix it without being asked.
• Internal Locus of Control: You take responsibility for outcomes. If an external API fails, you build a fallback mechanism instead of just blaming the provider.
• Get It Done: You prioritize shipping value. You know when to use a simple script and when to build a complex architecture.
• Openness: You share knowledge freely. If you find a better way to prompt the AI for scoring, you share it with the team.
   

What We Offer

• Fully remote with flexible hours (aligned with EU timezones for syncs).
• AI-Native Environment: We provide licenses for Claude Code and encourage using the bleeding edge of AI tech for both daily coding and product features.
• High-Impact Role: You will directly influence how we identify and score users, impacting the core business logic.
• Cross-functional visibility: Work closely with Product and Tech Leads to shape the future of Identity.
• No Bureaucracy: Fast decisions, no legacy processes, focus on results.