Jobs

About the Role

We are looking for a data and detailed oriented Senior CRM/Retention Manager with strong ownership and independent mindset to join our growing iGaming team.

In this role, you will be responsible for ownership of end to end CRM/Retention strategy for one of our brands. Including creating/reviewing/adjusting Retention/CRM strategy, bonus policy, promo planning, managing of end to end prod launch of automated, ah-hoc and A/B test campaigns aimed at increasing engagement, retention, reactivation metrics. Works with numerous CRM/Retention tools: classic bonus system and gamification tool and taking part in developing these functionalities.

Conduct data analysing of customer base and campaigns to meet business KPIs (LTV, Bonus rate, Retention Rate, ROMi etc)

You’ll work closely with the internal CRM operational team, product, marketing, analytical, VIP  teams.

Position considering to work with Softswiss ecosystem + Customer.io tool

Key Responsibilities

• Own and drive the end-to-end CRM & Retention strategy for the brand, aligned with business KPIs (LTV, NGR, Retention Rate, Bonus Cost, ROMI)
• Define and continuously optimize player lifecycle strategies (onboarding, activation, retention, reactivation
• Develop and maintain segmentation frameworks.
• Plan and execute CRM calendar (weekly / monthly / event-based: sport, seasonal, local markets)
• Manage setup process of planned and other campaigns along with Operational CRM unit (setup part should be covered by Operational team mainly close to 70%).
• Launch and manage multi-channel campaigns (email, push, in-app, SMS) along with the monitor of delivery and effectiveness.
• Own communication effectiveness of automated journeys, ad-hoc campaigns, triggered campaigns.
• Design and optimize bonus policy and promotional mechanics along with controlling bonus cost efficiency and improving bonus ROI and player value.
• Build and scale automated lifecycle journeys with continuous improvement of personalization and real-time triggers
• Analyze player behavior, cohorts, and campaign performance to identify growth opportunities
• Monitor and optimize core metrics for brand: LTV/ARPU, Retention/Reactivation Rates, Bonus Rate.
• Define and execute structured A/B testing relevant for brand and business needs.
• In collaboration with the Product team define and improve CRM-related features/bonus/ engagement capabilities.
• Close cooperation with Product, Analytical, Marketing, VIP, Operational teams for executing targets and plans.
• Key Requirements
• 3+ years of experience in CRM / Retention / Lifecycle Marketing in iGaming, sport betting.
• Proven track record of owning CRM strategy and delivering measurable impact on LTV, Retention, and NGR
• Strong understanding of player lifecycle, behavioral segmentation, and retention mechanics
• Advanced analytical mindset with ability to translate data into actionable CRM decisions
• Experience working with key metrics: LTV/ARPU, Retention/Reactivation Rates, Bonus Rate and communication metrics - Delivery, Open, Click, Conversion rates
• Experience with cohort analysis, funnel analysis, and performance reporting
• Deep understanding of bonus systems and promotional mechanics (preferably in Softswiss ecosystem)
• Ability to balance conversion vs bonus cost efficiency
• Experience working with iGaming platforms such as SOFTSWISS and with CRM platforms such as Customer.io
• Understanding of event-based architecture, triggers, and automation logic
• Experience managing multi-channel communication (email, push, in-app, SMS)
• Data-driven approach to continuous optimization of campaigns and journeys
• Proven experience in A/B testing and experimentation frameworks
• Experience building and scaling automated lifecycle journeys
• Strong sense of ownership and accountability for results
• Ability to work independently in a fast-paced, performance-driven environment
• Structured, detail-oriented, and result-focused approach
• Proactive mindset with ability to identify growth opportunities and act on them

Role Overview

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

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

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

Key Responsibilities

Machine Learning & Modeling

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

Data & Analytics

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

Collaboration & Product Integration

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

LLMs & Advanced Techniques

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

Documentation & Governance

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

Required Qualifications

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

Nice-to-Have Qualifications

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

What We Offer

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

## About Us

We are building the next generation of financial infrastructure - programmable, transparent, and accessible to everyone. Our platform processes millions of transactions daily, bridging traditional finance with decentralized protocols.

## The Role

We're looking for a Senior Backend Engineer to design, build, and scale the systems that power our payment rails, on-chain settlement layer, and API platform. You'll work at the intersection of high-performance distributed systems and blockchain technology, shipping code that moves real money.

## What You'll Do

- Design and implement low-latency microservices in Go that handle payment processing, ledger management, and transaction orchestration.

- Build and maintain production-grade RESTful and gRPC APIs serving thousands of requests per second to internal teams, partners, and third-party developers.

- Own the HTTP gateway layer - rate limiting, authentication (OAuth 2.0 / API keys), request validation, and observability middleware.

- Architect event-driven pipelines using Kafka or NATS for real-time transaction streaming, reconciliation, and compliance monitoring.

- Contribute to our internal blockchain indexer — parsing blocks, decoding contract events, and maintaining a queryable transaction history.

- Collaborate with the security and compliance team on KYC/AML data flows, audit logging, and regulatory reporting.

## What We're Looking For

- 5+ years of professional backend engineering experience, with at least 3 years writing production Go.

- Strong understanding of HTTP/1.1 and HTTP/2 semantics, TLS, connection pooling, and API design best practices.

- Hands-on experience with blockchain technologies — interacting with nodes (JSON-RPC / WebSocket), parsing transactions, or integrating wallets and custodians.

- Experience with PostgreSQL (or CockroachDB) at scale — schema design, query optimization, migrations, and replication.

- Working knowledge of Docker, Kubernetes, and CI/CD pipelines in a cloud environment (AWS, GCP, or Azure).

- Comfort with distributed systems concepts: consensus, idempotency, eventual consistency, saga patterns.

- Understanding of financial concepts: double-entry bookkeeping, settlement, float management, and reconciliation.

## Nice to Have

- Contributions to open-source Go libraries or blockchain tooling.

- Knowledge of zero-knowledge proofs or privacy-preserving payment systems.

- Prior experience at a regulated fintech, neobank, or crypto exchange.

## Tech Stack

Go, FastHTTP, Kubernetes, Docker

## What We Offer

- Fully remote with optional co-working budget.

- Annual learning stipend for conferences, courses, and certifications.

- Hardware budget for your ideal dev setup.

- Flexible PTO and company-wide recharge weeks.

- Early-stage impact — your architectural decisions will shape the platform for years.

About company and product

A Singapore seed-stage startup is a platform for fan communities that brings together communities around anime, K-pop, and other subcultures — all in one place. Our goal is to become the go-to fandom platform on the internet where every type of fandom in the world is found.

The mobile app is currently live on iOS and Android after launching our MVP, which was soon followed by Version 2.0, and the company are now building Version 3.0 with the goal of scaling toward our Series A.

📍About the role

At the moment we’re on a mission to find a Founding Engineer — 1st in-house tech employee — to help scale our platform toward Series A and beyond. We seek an ambitious Backend Engineer who’s experienced in building and scaling applications with thousands of users and would like to join us on a mission to build the future of how the world experiences fandoms.

This is a learning-intensive role aimed at building the expertise and foundation needed to eventually steer the company’s architectural direction.

Your core responsibility will be to own, understand, and optimize the backend systems of our mobile app. Your main focus will be to (1) build the algorithms that power our core user experience, and (2) strengthen the cloud infrastructure to support scaling to 1 million users.

What you will do during the first quarter – six months

The founding engineer will work closely with Uptech under the guidance of the Tech Lead, while collaborating within the Huddle team on high-level strategic decisions. 
 

– Design and implement the core recommendation and engagement algorithms.

– Collaborate with the Uptech and Huddle team to integrate algorithms into the system.

– Define data structures and pipelines to support algorithm efficiency and scalability.

– Test and refine algorithms to optimize performance.

– Contribute to high-level technical decisions around algorithm architecture and future enhancements.

📍Requirements for candidates

• You have 3-5 years of professional experience as a back-end engineer or full stack developer, preferably in high-growth startups or product-driven teams.
• You are comfortable working in a fast-paced environment, where priorities evolve quickly and execution speed matters.
• You take full ownership of technical outcomes and act as the primary technical decision-maker.

• Excellent communication English skills (both verbal and writing)

   

Backend & Data:

• Strong experience with Node.js and NestJS
• Solid knowledge of PostgreSQL
• Familiarity with NoSQL databases
• Experience designing APIs and data models for high-traffic systems
• DB performance optimization (indexes, queries, schemas)

Infrastructure & CI/CD:

• Hands-on experience with Amazon Web Services
• Infrastructure as Code with Terraform or similar tool
• Experience building CI/CD pipelines (tests, builds, deployments)
• Understanding of containerized deployments and rollback strategies

Code Quality:

• Experience with automated testing (unit / integration)
• Linters, formatters, and code review practices
• Focus on maintainable, production-ready code

Algorithms & Performance:

• CS / Math background
• Experience with feed or ranking algorithms
• Performance optimization: caching, lazy loading, preloading, thumbnails
• High-load experience is a plus

Nice-to-have requirements for candidates:

• Observability: Monitoring with Grafana observability stack (i.e. Prometheus)
• Experience in social platforms, community-based apps, or messaging products.
• Strong understanding of startup product cycles, from MVP to scale.
• Interest in building immersive environments (virtual spaces) or 3D avatar-based interactions.

• Interest in web applications.

   

Stages of communication:

1. Intro Call with recruiter — 30 min
2. Tech pre screen — 30 min
3. Competency-based interview — up to 1 h
4. Technical Assessment (2 stages): Tech Interview (2 h), Design Session (2 h)
5. Executive interview and Offer
    

___________________________________________

1️⃣ Benefits package for a Remote employee (B2) consists of:

• 14 days annual leave + up to 14 days paid sick leave after 3 month probation period pro-rated;
• Public holidays according to remote employee's (B2B) country of residence;
  * Employee covers social security, taxes, and medical insurance.
•  Salary with Equity.

2️⃣ Benefits package for an Onsite employee consists of:

• Relocation package Singapore (PR pathway, settling-in allowance; 
• One free annual round-trip flight to your home country;
• 14 days annual paid leave per calendar year;
• Up to 14 days sick leave and up to 60 days hospitalisation leave after 3 months of employment;
• Full basic medical insurance coverage, including outpatient treatment, hospitalisation, and dental care, subject to the insurer’s policy terms;
• Salary with Equity;
• Post-Funding Benefits;
• Office-based (hybrid flexible).

Bizzabo, a leader in event technology, is looking for a strategic and highly analytical Revenue Operations Analyst in Ukraine to join our dynamic Revenue Operations Team. In this role, you will serve as a critical bridge between raw data and executive decision-making. You will be responsible for defining the analytical roadmap for our different GTM departments, ensuring that data is not just reported, but used as a competitive advantage to drive growth and efficiency.

We recognize that the best Revenue Operations talent often comes from diverse analytical paths. You are likely a strong match if you currently work in one of the following roles:

• Business Data Analyst: You are an expert at using complex SQL queries to uncover “The Why” behind the numbers, translating disparate datasets into analytical recommendations for leadership that will influence revenue decisions.
• Sales/Marketing Operations Analyst: You combine technical SQL mastery with deep CRM data knowledge to perform advanced analytics that optimize the B2B sales funnel and revenue predictability.

• Commercial BI Analyst: You are a SQL specialist who doesn’t just build “reports,” but architects sophisticated data models and dashboards to perform deep analytics on revenue and market trends.

   

Note on Fit: This is a Commercial Data & Strategy role. It is a great fit for those who love business strategy and deep analytics. It is not a fit for those focused on the SDLC, system analysis for software development, or writing technical requirements for engineering teams.

What You’ll Be Doing:

• Act as a dedicated strategic partner to GTM leadership (Sales, Marketing, and Customer Success) to provide the analytical support and insights needed to inform revenue decisions.
• Identify growth opportunities by analyzing CRM data to uncover actionable insights and resolve operational bottlenecks through end-to-end analytical project leadership.
• Encompass the full data lifecycle, from gathering requirements and designing complex data models with optimized SQL to architecting a scalable BI ecosystem in Looker that replaces manual reporting with sophisticated automation.
• Go beyond descriptive reporting and leverage modern AI-powered tools to accelerate your workflow.
• Uncover the underlying drivers of business performance and translate the data into clear narratives that inform decisions.
• Provide proactive insights and strategic recommendations based on key performance indicators.
• Continuously audit data quality and collection processes within the CRM to ensure a high-integrity, data-driven environment.

Required Experience & Skills

• Professional & Educational Background: 3+ years of experience as a Business/Data Analyst (preferably within a global SaaS or high-growth tech company) supported by a degree in Industrial Engineering, Statistics, Economics, or a related quantitative field.
• Technical Mastery:
• SQL Expert: Deep experience writing complex, optimized queries and working with modern data warehouses (e.g., Snowflake, BigQuery).
• BI Power User: Expert proficiency in Looker (LookML experience is a significant plus), Tableau, or similar enterprise BI tools.
• Data Manipulation: Advanced Excel skills for financial modeling and ad-hoc analysis.
• Business Acumen: Strong understanding of the SaaS business model and B2B sales funnels.
• Analytical Rigor: Proven ability to synthesize large, disparate datasets into clear, actionable business narratives.
• Communication: Fluent English with exceptional verbal and written communication skills. You must be able to explain technical concepts to non-technical business leaders.
• Cross-team collaboration: Strong communication skills and the ability to collaborate effectively with sales leaders and cross-functional teams
• Mindset: Highly independent, self-motivated, and excellent at multitasking to ensure management of multiple high-priority projects in a fast-paced environment while maintaining swift execution on daily tasks.

Preferred Qualifications

• Experience with AI-integrated analytics platforms or building automated workflows using AI agents.
• Familiarity with Salesforce, HubSpot and PlanHat data structures.
• Experience in fast-paced, SaaS, or startup environments.

Location: Remote (Uzbekistan)

About the Company

An international iGaming company operating under a global license is expanding into the Uzbekistan market and is looking for an experienced professional to lead regional growth and drive business performance.

🚀 Key Responsibilities

• Conduct a full audit of the product (UX/UI, localization, payments, funnels, mobile, etc.) and marketing tools
• Identify gaps and propose actionable improvements to increase acquisition, retention, and revenue
• Develop and execute a market growth strategy for Uzbekistan
• Build and manage a strong network of affiliates, offline partners, payment points, and local channels
• Coordinate with internal teams (affiliate, offline partners, marketing)

• Monitor KPIs (registrations, deposits, NGR, ROI) and optimize performance

   

✅ Requirements

• 3+ years of experience in iGaming / betting focused on the Uzbekistan market
• Background as Country Manager / Affiliate Manager / Partner Manager or similar
• Proven track record of launching or scaling projects and driving revenue growth
• Strong local network (affiliates, offline partners, payment points, etc.)
• Fluent Uzbek (mandatory), English is a plus

• Strong analytical and communication skills

   

💡 What We’re Looking For

• Results-driven and data-oriented mindset
• Ability to manage multiple partners and projects simultaneously

• Strong negotiation skills and ownership mentality

   

🎯 Conditions

• Fixed salary depending on experience
• Performance-based bonuses (KPI-driven)
• Fully remote position

N-iX is looking for an AI-savvy Product Manager. The Engineering team builds and maintains a framework-agnostic UI component library used across Client’s software products, and is now actively embedding AI-assisted workflows, MCP-based agentic infrastructure, and automated SDLC tooling into its engineering practice.

In this role you will own the product backlog, define and prioritise the roadmap for AI-enhanced capabilities, align cross-functional stakeholders (engineering, architecture, Client’s PMs), and drive measurable delivery outcomes in a fast-moving agentic tooling context.
 

About the Client:

Our Client is the largest engineering company in Europe, and holds the position of global market leader in industrial AI, automation, and industrial software.

Become a part of Client’s innovation department which is creating and managing cutting-edge technical architectures, serves as a shared platform for research and development within Client's large organization. It primarily focuses on research and development including broad incorporation of Artificial Intelligence (AI), cloud-based software, high-performance computing, etc.
 

Responsibilities:

Product Strategy & Roadmap

• Define and maintain the AI product roadmap for the  UI component library product, aligned with Client’s Digital Innovation department’s strategic objectives.
• Translate business goals and engineering insights into a prioritised, well-groomed backlog using PMBOK and agile best practices.
• Lead quarterly UI component library roadmap reviews with stakeholders and N-iX leadership.

AI & Agentic Infrastructure Ownership

• Own the product definition for AI-integrated SDLC tooling: issue analysers, GitLab analytics skills, Claude Code agents, MCP server configurations, and automated reporting pipelines.
• Work closely with the UI Architect, Engineering Leads to evaluate and prioritise new AI capabilities for integration into the  UI component library development lifecycle.
• Define acceptance criteria for agentic features, including observable behaviour, error handling, and handoff points between human and AI agents.

Backlog & Delivery Management

• Manage and refine a complex backlog spanning UI components, AI tooling, DevOps automation, and platform quality.
• Coordinate and execute releases planning and scope management
• Aligning on business needs, performing AI-analysis for advancing the prioritization process, ensuring the issues and new features are structured and validated with business stakeholders/consumers.

Stakeholder Alignment & Communication

• Act as the primary bridge between Client’s product stakeholders and the vendor’s and N-iX’s engineering teams, ensuring clear, timely, and transparent communication.
• Produce executive-level product roadmaps reports aligned to Company’s brand guidelines.
• Identify, track, and escalate risks and dependencies in the delivery timeline.

Consumer & Quality Focus

• Maintain the consumer-facing  UI component library roadmap based on user requests and feedback; facilitate correction actions for input requirements from component consumers.
• Champion quality gate automation, testing framework improvements, and CI/CD pipeline coverage as product-level acceptance criteria.

Key Skills & Requirements:

Product Ownership

• 3+ years of experience as a Product Owner or Product Manager in a software engineering environment.
• Proven track record of managing complex backlogs with competing priorities across multiple workstreams.
• Strong command of agile frameworks (Scrum, Kanban) and PMBOK knowledge areas.

AI & Technical Fluency

• Working knowledge of AI/LLM-powered tooling - including prompt engineering, agentic workflows, and MCP (Model Context Protocol) concepts.
• Ability to define product requirements for AI features without requiring deep ML expertise; comfort working alongside AI infrastructure and agent teams.
• Familiarity with modern SDLC automation: CI/CD pipelines, GitLab, automated code review, AI-assisted issue triage, and analytics-driven PM.

Stakeholder & Delivery Management

• Demonstrated ability to manage enterprise stakeholders in a distributed, multi-vendor delivery model.
• Experience translating technical delivery progress into executive-ready communications (status reports, roadmap decks, risk registers).
• Data-driven mindset: comfortable with delivery metrics (cycle time, throughput, burndown, eNPS) as inputs to backlog prioritisation.

Communication & Documentation

• Excellent written and verbal communication in English (business-level required; C1+).
• Ability to produce well-structured PRDs, discovery outputs, acceptance criteria, and stakeholder presentations.
   

Nice to have:

• Experience with UI platform or design system products (component libraries, Stencil.js, web components).
• Familiarity with MCP server architecture, LLM agent orchestration frameworks (LangChain, Semantic Kernel, CrewAI), or agentic infrastructure patterns.
• Background working within large enterprise engineering organisations.
• Experience using AI-powered PM analytics or GitLab data pipelines for project health reporting.
• Proficiency with data visualisation tools (Power BI, Grafana, custom HTML/PDF reports).
   

Certifications:

Advantageous

• AI Product Management certification (e.g., Pragmatic Institute AI PM, Product School AI PM Certificate)
• ITIL 4 Foundation — for service and change management context in enterprise delivery
   

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

Location: Remote (Azerbaijan)
 

About the Company

An international iGaming company operating under a global license is expanding into the Azerbaijan market and is looking for an experienced professional to lead regional growth and drive business performance.

🚀 Key Responsibilities

• Conduct a full audit of the product (UX/UI, localization, payments, funnels, mobile, etc.) and marketing tools
• Identify gaps and propose actionable improvements to increase acquisition, retention, and revenue
• Develop and execute a market growth strategy for Azerbaijan
• Build and manage a strong network of affiliates, partners, and local channels (including Telegram and media)
• Coordinate with internal teams (marketing, affiliate, payments) to launch and scale initiatives

• Monitor KPIs (registrations, deposits, NGR, ROI) and optimize performance

   

✅ Requirements

• 3+ years of experience in iGaming / betting in the Azerbaijan market
• Background as Country Manager / Affiliate Manager / Partner Manager or similar
• Proven track record of launching or scaling projects and growing revenue
• Strong local network (affiliates, traffic sources, Telegram channels, etc.)
• Fluent Azerbaijani (mandatory), English is a plus

• Strong analytical and communication skills

   

💡 What We’re Looking For

• Results-driven and data-oriented mindset
• Ability to manage multiple partners and projects simultaneously
• Strong negotiation skills and ownership mentality

We are Oneeven, an investment company managing a portfolio of businesses across various industries, including IT and iGaming.
We’re now looking for an Internal Auditor who will help us establish efficient financial processes, assess risks, and ensure transparency and compliance within the group of companies.
This role involves deep engagement in operational, financial, and analytical aspects of the business, as well as close collaboration with C-level management of portfolio companies.
 

Skills and Experience:

• at least 4 years of experience in an audit position, preferably with exposure to IT and/or iGaming sectors (would be a plus);
• ACA or ACCA qualification (fully or partly qualified);
• solid understanding of financial principles (IFRS) and auditing standards (ISAs), with a desire to continue professional growth;
• proficiency in Microsoft Office Suite; knowledge of Tableau would be an advantage;
• English – at least B1 level (both written and spoken), fluent in Ukrainian and Russian;
• experience in internal audit and/or advisory will be considered an advantage;
• team player with strong initiative and motivation to grow within the iGaming industry;
• excellent communication and organizational skills, with the ability to work under pressure and meet deadlines.

Key Responsibilities:

• perform and manage internal audits for a portfolio of small, medium, and large-sized companies;
• maintain a holistic view of the audit process — simultaneously focusing on operational, financial, and risk-related aspects to understand how each area impacts the other;
• process and prepare financial statements in accordance with IFRS (when required);
• liaise with finance and accounting teams of portfolio companies;
• review and audit internal processes and controls (both operational and financial) to identify weaknesses and areas for improvement;
• maintain regular communication and relationships with portfolio companies’ management, including C-level executives;
• lead, mentor, and coach junior team members to ensure high-quality results;
• participate in the development of internal audit methodologies for portfolio companies;
• prepare and present recommendations to address identified issues and improve business processes;
• perform other financial tasks as assigned.

What We Offer:

• Competitive compensation package with performance-based incentives
• Health Insurance compensation
• Sports benefits
• 21 working days of paid vacation per year
• 25 paid sick days annually — no doctor’s note required
• 3 additional paid days off per year for personal use
• Partial reimbursement for psychological support sessions
• $600 annual education budget
• Paid business trips to our Cyprus HQ

Data Science UA is a service company with deep expertise in AI and Data Science. Our story started in 2016 with the first Data Science UA Conference in Kyiv, and since then, we’ve built one of the largest AI communities in Europe.

About the role:
We are looking for a Backend Software Engineer to join our team and help us build a pipeline for IoT data. The system ingests streams, stores data in a shared layer, and integrates with CV/AI engines for preprocessing and inference. The engineer will build and maintain the pipeline, but will not be responsible for model fine-tuning. Fine-tuning will be performed separately using SageMaker.

Responsibilities:
- Build and maintain the pipeline for IoT data, including ingestion, processing, and integration layers.
- Work with AWS services such as EC2, S3, SageMaker, and at least one NoSQL database (DynamoDB or MongoDB).
- Integrate with CV/AI engines in Python, ensuring configurable model loading and runtime selection.
- Implement the data flow architecture with reliable lifecycle management and backpressure handling.
- Ensure production readiness on Linux, with observability, logging, metrics, and robust error handling.
- Collaborate with the team to support fine-tuning workflows via SageMaker (but not performing fine-tuning personally).
- Preferably, have some knowledge of IoT concepts, AWS IoT Greengrass, and protocols like MQTT, since the pipeline shares architecture with existing IoT systems.

Requirements:
Must-have:
- Strong Python skills, OOP, clean architecture, and typing.
- Experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/services, networking basics, profiling/debugging).
- Familiarity with AWS services (EC2, S3, SageMaker) and at least one NoSQL database.
- Knowledge of streaming data and reliability constraints (timeouts, retries, resource cleanup).

Should-have:
- Some exposure to IoT data and IoT protocols like MQTT.
- Experience with CV/AI Python libraries such as numpy, OpenCV, PyTorch or TensorFlow.
- Experience with pipeline integration, database connectors, and event-driven architectures.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- Many other benefits, which will be shared during the interview. 

We are looking for an AI/ML Engineer to join our team and work on real client projects across different domains (AI products, SaaS platforms, automation solutions).

This role is a mix of strong technical work and direct client interaction. You will participate in pre-sales, help shape solutions, and build production-ready AI systems.

Requirements:

• 3+ years of experience in AI/ML
• Strong Python skills (NumPy, Pandas, scikit-learn)
• Hands-on experience with NLP / LLM or Computer Vision
• Experience with LLMs (OpenAI, HuggingFace, or self-hosted models)
• Understanding of ML lifecycle (data → training → deployment)
• Experience with APIs, Docker, and cloud (AWS / Azure / GCP)
• Strong understanding of ML algorithms

Nice to have:

• Experience with RAG, vector databases
• Experience with self-hosted LLMs (LLaMA, Mistral, etc.)
• Experience with MLOps (CI/CD, monitoring, pipelines)
• Experience optimizing inference (latency / cost)

What’s important for us:

• Ability to communicate with clients and explain solutions
• Experience in pre-sales or technical discussions is a big plus
• Strong problem-solving and structured thinking
• Ownership and proactive mindset

What you will do:

• Work on AI/ML solutions for client projects
• Participate in pre-sales and solution design
• Build and deploy production-ready models
• Collaborate with engineers and sales team

We offer:

• Remote work
• Long-term collaboration
• Real client projects and impact on decisions
• Opportunity to grow in AI/ML and client-facing roles

We are looking for an SEO Specialist to strengthen DashDevs’ organic presence and drive sustainable, long-term growth across international markets.

In this role, you will do much more than optimize pages and keywords. You will work closely with marketing, content, and product teams, contributing to strategic decisions, shaping our content and visibility strategy, and influencing how DashDevs is discovered by fintech leaders, founders, and decision-makers around the world. Your work will directly impact brand awareness, inbound demand, and business growth in key markets such as the USA, Europe, the UK, and MENA.
 

Responsibilities:
Develop and execute SEO strategies to improve organic traffic and search rankings across international markets (USA, Europe, UK, MENA)

• Identify growth opportunities by optimizing existing content and supporting the creation of new SEO-driven content
• Conduct keyword research and search intent analysis for different regions and target audiences
• Manage on-page SEO and content optimization as part of the overall content strategy
• Build and maintain a consistent link-building strategy
• Analyze competitors’ SEO and marketing activities to benchmark performance and identify new opportunities
• Monitor website performance using SEO and analytics tools (Google Analytics, Google Search Console, Semrush, Ahrefs, etc.)
• Develop and execute GEO / AI Search optimization strategies, improving DashDevs’ visibility in generative search experiences (LLM-powered answers, AI overviews, conversational search) through structured content, topical authority, and entity-based SEO
• Collaborate with content, design, and product teams to ensure SEO-friendly solutions
• Perform technical SEO audits and work with developers to implement improvements
• Track, analyze, and report on key SEO performance metrics
• Stay up to date with SEO trends, algorithm updates, and industry best practices
  
  What professional skills are required?
• 3+ years of hands-on SEO experience, preferably in software development, tech, or fintech
• Strong knowledge of on-page, off-page, and technical SEO
• Experience with SEO tools such as Google Search Console, Semrush, Ahrefs, or similar platforms
• Experience working with analytics tools, including Google Analytics
• Proven experience in SEO content planning, optimization, and editing
• Experience working with international markets
• Strong analytical and problem-solving skills
• Good organizational and project management skills

English proficiency sufficient for daily communication and content work

What skills will be a plus?

• Previous experience with Fintech products/services
• B2B & SaaS SEO background
• AI-aware & future-ready mindset

Enable3 is the loyalty and engagement layer for digital brands.
 

We help mobile apps, games, fintech companies, edtech platforms and other digital products launch loyalty programs in days. From classic points and missions to token-based campaigns and community rewards.

We are looking for a B2C Product Manager who understands how consumer products grow, retain users, and drive engagement through behavioral mechanics.

The role focuses on building and optimizing engagement mechanics, onboarding flows, gamification logic, and user journeys inside loyalty ecosystems used by consumer products.
 

Main requirements

• 3–6+ years as Product Manager / Product Owner
• Experience working on B2C products (mobile apps, fintech, gaming, marketplaces, social platforms, Web3 apps)
• Strong understanding of user engagement, retention, and activation mechanics
• Strong understanding of: AARRR metrics (Acquisition, Activation, Retention, Referral, Revenue), onboarding funnels, behavioral design, gamification mechanics, loyalty and reward systems, referral programs, segmentation, and experiments (A/B testing)
• Basic understanding of: APIs and integrations, event-driven product architecture, product analytics tools, experimentation frameworks
• Preferred experience with: Jira / Figma
• Product analytics tools (Tableau / Hotjar / GA)
• Strong analytical thinking
• Ability to structure product problems
• Ownership mentality
• Ability to work in fast-moving startup environments
• Clear communication with design and engineering teams
• English level Upper-Intermediate / Advanced
   

Main responsibilities

• Own the B2C engagement experience within Enable3 loyalty widgets and loyalty components system
• Design user journeys and engagement mechanics (missions, quests, rewards, referrals, gamification)
• Improve user activation and retention flows for consumer users
• Work closely with engineering on product requirements and delivery
• Define product requirements, user stories, and acceptance criteria
• Analyze user behavior and optimize product flows
• Launch experiments and A/B tests to improve engagement metrics
• Collaborate with design to improve the UX of loyalty widgets and dashboards
• Work with growth and marketing teams to support product campaigns
   

What we offer

• Hybrid format in Lisbon, Portugal
• Flexible working hours
• 20 paid days to recharge and unwind
• Additional support covering 14 days for health-related matters
• Professional growth support during the first months, with guidance from experienced team members
• Engaging corporate events and activities
• Competitive financial compensation

Main requirements

• 3+ years in B2B sales, ideally in SaaS, MarTech, AdTech, Mobile, or Loyalty/Gamification tools
• Advanced English (C1+)
• Proven experience owning the full sales cycle: prospecting → qualification → demo → follow-up → closing
• Experience selling to product, marketing, and growth teams within digital businesses
• Strong understanding of ICP qualification
• Ability to run product demos and translate product features into ROI-driven value
• Comfortable using CRM (HubSpot), LinkedIn Sales Navigator, email outreach tools
• Highly proactive: able to build pipeline, test segments, develop outbound angles, and suggest improvements
• Growth mindset, resilience, and ability to work in a fast-moving startup environment

Bonus: experience selling to gaming studios, mobile apps, fintech, telecom, or Web3 projects
 

Main responsibilitiesPipeline Building & Lead Qualification

• Build and manage a strong pipeline of qualified prospects across gaming, fintech, apps, startups, and Web3
• Perform outbound prospecting through LinkedIn, email, and partner channels
• Qualify leads and route non-fit leads to nurturing workflows

Product Demos & Consultative Sales

• Conduct high-quality, tailored demos for different ICPs
• Deliver ROI-driven narratives that support conversion and shorten sales cycles

Deal Management & Closing

• Manage follow-ups, objection handling, contract negotiation, and closing motions
• Maintain CRM hygiene and forecasting accuracy

Cross-functional Collaboration

• Collaborate with Marketing to align outbound angles, pre-demo materials, and ICP segmentation insights
• Work with Product to understand upcoming features, roadmap, and customer feedback loops
• Support PR & Content with sales insights about objections, preferences, and verticals
   

What we offer

• Hybrid format in Lisbon, Portugal
• Flexible working hours
• 20 paid days to recharge and unwind
• Additional support covering 14 days for health-related matters
• Professional growth support during the first months, with guidance from experienced team members
• Engaging corporate events and activities
• Competitive financial compensation
   

Stages of interviews

• Call with Recruiter
• Intro Call with Hiring Manager
• Demo call – Case Study
• Final Call if needed

We’re looking for an Account Manager with B2B experience to work with a platform that helps digital products retain and engage users through loyalty programs, gamified missions, and token-based rewards.

Main requirements

• 3+ years as an Account Manager or Customer Success Manager in B2B SaaS
• Proven experience managing multiple client accounts simultaneously (5–15)
• Hands-on experience launching clients end-to-end: onboarding → configuration → production
• Solid understanding of web and mobile application architecture
• Confident working knowledge of: REST APIs (endpoints, events, callbacks, webhooks), Client–server interactions, Databases (entities, relations, event-based logic)
• Experience with analytics and BI tools: Tableau (or equivalents: Looker, Power BI, Metabase)
• Comfortable working with admin panels and no-code tools
• Understanding of loyalty, gamification, and retention mechanics
• Ability to select and adapt loyalty mechanisms based on client business goals
• Experience working with solution catalogs, templates, or modular platforms
• Clear, structured communication with B2B clients
• Ability to translate business needs into technical requirements
• Proactive mindset — focused on driving outcomes, not just execution
• Strong ownership, time management, and deadline discipline
• English level - C1
   

Main responsibilities

• Manage client communication across all stages: onboarding, configuration, and production launch
• Select appropriate loyalty and gamification mechanics from the Enable3 catalog
• Independently configure client programs in the product’s admin panel
• Collect, structure, and communicate client requests to the development team
• Coordinate with the Sales team during client handover and go-live
• Ensure timely launches and alignment with client expectations
   

What we offer

• Hybrid format in Lisbon, Portugal
• Flexible working hours
• 20 paid days to recharge and unwind
• Additional support covering 14 days for health-related matters
• Professional growth support during the first months, with guidance from experienced team members
• Engaging corporate events and activities
• Competitive financial compensation
   

Stages of interviews

• Call with Recruiter
• Intro Call with Hiring Manager
• Final Call if needed