Jobs

📍 Remote | Ukraine | iGaming

ABOUT THE COMPANY

We are an iGaming company with over 4 years of experience and a team of 1300+ specialists. Our portfolio includes 13+ successful projects operating across Tier 1–3 markets.

As we continue scaling and launching new products, we are looking for a strong, strategically-minded Head of Partner Network who will take full ownership of the affiliate direction for the group's key brands.

ABOUT THE ROLE

Senior strategic leadership role. You will build the partner network from the ground up, design the organizational model, own the P&L of the affiliate direction, and drive sustainable traffic growth for the group's brands. Not an operational affiliate manager position - an architect and owner role for the entire direction.

WHAT YOU WILL DO

• Building the Partner Network: org model and roles, positioning and go-to-market strategy, 12-month roadmap, onboarding/quality control/payouts/anti-fraud processes.
• Growing the Partner Network: attracting and developing webmasters/partners, long-term relationships, incentive mechanics.
• Traffic & Performance: planning traffic volumes and distribution across brands, quality control, financial planning and margin management, KPI ownership.
• Team Management: hiring affiliate managers/bizdev/support, performance-driven culture, developing the management structure.

WHAT WE ARE LOOKING FOR

• 5+ years in iGaming/gambling/betting marketing;
• 3+ years in a leadership role (CMO/Head of Affiliate);
• Proven experience managing both acquisition and brand marketing;
• Deep understanding of FTD%, ARPU, LTV, ROI;
• Hands-on experience with Paid Social, Google, SEO/ASO, Influencers, Affiliates; strong partner management and deal optimization;
• Confident managing $500K+ budgets, scaling to 10K+ FTDs;
• Strong analytical mindset, BI tools, media planning;
• Understanding of unit economics, CJM, funnel optimization;
• Knowledge of compliance in regulated/emerging markets.

WHY JOIN US

• Full ownership of marketing strategy and real impact on business results
• Freedom to build your own team, processes, and vision
• Strong products, budgets, and internal infrastructure
• Fast decision-making, no micromanagement
• Competitive salary + performance-based bonuses
• Fully remote setup + coworking support
• Access to top industry conferences and internal events
• Paid vacation, sick leave, and birthday day off
• Investment in your professional and personal growth

We are looking for a Camera BSP & Middleware Engineer to drive the design and development of a unified camera infrastructure across Linux and Android platforms. 

This role combines deep embedded Linux and Android expertise with camera subsystem integration. The engineer will be responsible for sensor bring-up, driver development, middleware integration, and image quality tuning, ensuring compliance with Android Camera HAL standards and optimized multimedia performance across platforms. 

Requirements:

• Strong experience with Linux kernel camera drivers and V4L2 (including sub-device drivers) 
• Proven experience integrating and maintaining Android Camera HAL 
• Hands-on experience with camera sensor bring-up and board-level integration 
• Experience working with Device Tree / DTBO overlays, including power sequencing, reset, and clock (MCLK) configuration 

• Experience tuning image quality pipelines, including: 

  - 3A algorithms (AE, AWB, AF) 

  - Lens Shading Correction (LSC) 

  - Temporal Noise Reduction (TNR) 

• Ability to debug complex camera pipelines across kernel and user space 
• Experience with Git/Gerrit and build systems (Yocto and AOSP) 
• Strong understanding of embedded Linux and Android system architecture 

Responsibilities 

• Own cross-platform (Linux and Android) camera architecture and board bring-up 
• Develop and maintain Linux camera drivers (V4L2 sub-devices) 
• Integrate and support Android Camera HAL components 
• Create and validate Device Tree / DTBO overlays for camera hardware configuration 
• Automate media graph validation, streaming tests, and long-running stress test suites 
• Tune image processing pipelines using vendor-provided IQ tools 
• Collaborate closely with hardware teams on CSI timing, PHY configuration, and sensor onboarding 
• Support performance optimization and long-term platform stability 

About the role 

TechMagic is launching a new venture builder direction focused on creating and scaling B2B SaaS products. We use our own products in our day-to-day work, which gives us a unique perspective on what it means to build software that actually solves real problems.

We're looking for our first Head of Product & Growth who will fully own our products - its strategy, growth, and business outcome. You are someone who thinks and acts like a founder - testing hypotheses, iterating fast, making data-driven decisions, and owning the outcome.

What You'll Own

Product & Market

• Deep understanding of your market: competitors, niches, customer signals
• ICP definition, JTBD frameworks, product-market fit hypotheses
• Roadmap influence: feature proposals based on market insights
• Decision-making: launch, pivot, or kill a direction

• Day-to-day collaboration with the dev team: writing specs, prioritizing backlog, reviewing builds, unblocking delivery

   

Positioning & Marketing

• Messaging, value proposition, and landing page narrative for your product
• Go-to-market strategy for new features and pricing experiments
• Hands-on execution of customer acquisition: running and optimizing paid and organic channels using AI-powered marketing tools

• Building and iterating on landing pages, onboarding flows, marketing campaigns, and conversion assets - independently, with a modern AI stack.

   

Growth & Monetization

• Full ownership of MRR, conversion, retention, and churn
• North-star metrics definition and funnel hypotheses

• Experimentation loops: test → data → decision → scale

   

Budget & Resources

• Autonomous management of ad budgets within approved limits
• Preparation of investment proposals for the Board of Directors

Who We're Looking For

We're open to four candidate profiles:

• Marketer / Product Manager - strong marketing foundation with product management experience
• Product Manager / Marketer - product thinking with a solid go-to-market skillset
• Product Marketing Lead/Head - experience launching and driving products with full ownership of results
• Former Founder - experience launching a product, comfortable operating within a structured environment

What matters most: entrepreneurial mindset, ability to iterate fast, and readiness to own results. This is a business ownership role, not a task execution role.

Requirements

• Experience in product management and product marketing for digital or SaaS products, or a proven track record of independently launching and growing a product or business line - from hypothesis to outcome
• Entrepreneurial mindset: ability to move fast under uncertainty
• Hands-on experience with growth metrics: activation, conversion, retention, MRR
• Ability to run structured experiments and draw actionable conclusions from data
• High autonomy - comfortable operating without top-down instructions
• AI-first approach: active use of AI tools to improve speed and quality of work
• English - Upper-Intermediate or higher (strong B2+)

Why This Role Stands Out

• You will act as the CEO of a product
• Direct collaboration with the Board of Directors and participation in quarterly product reviews
• You get equity - if the products grow, you grow with them
• Opportunity to act as CEO across multiple products as the portfolio grows
• A real entrepreneurial role within a structured environment: decision-making freedom backed by a strong development team
  
  You should be confident in both Product management and Product marketing, as you will handle both hands-on, without a dedicated marketing team behind you.

We are the only Accounts Payable Automation (AP Automation) software that centers communications on top of the invoice so that AP collaborates better with approvers, vendors, and anyone involved with purchases to quickly resolve issues and questions, resulting in 5x faster approvals.

Automating accounts payable in this way gives users visibility into bill activities, statuses, and ownership with greater transparency and accountability. Audit-ready histories of approved bills are stored in our system, and invoices can be downloaded anytime.

We're a fast-growing startup company looking for talented experienced developers with a headquarter in Israel.

Required Experience:

• Strong and hands-on development capabilities.
• At least 5 years of work experience, preferably more.
• Experience with Java/ C# + React.js - is a must!
• Understanding of fundamental design principles for building scalable applications
• Experience with Agile methodology and strong knowledge of software development best practices
• Proven problem-solving skills and good judgment

Preferred Skills:

• Knowledge of AWS technologies and services
• Knowledge of cloud development principles and NoSql 
• Machine Learning and AI patterns

About the company:
Whizdom AI is an early-stage AI startup building products around recommendation systems, personalisation, and GenAI agents. The company is a small team working directly on real customer problems, shipping quickly, measuring outcomes, and iterating fast. Everyone here is expected to take ownership, improve systems proactively, and help build the engineering foundations the company will scale on.

The Role:

We are hiring a Founding AI Platform Engineer to own the systems that make the company's ML and GenAI products reliable, deployable, observable, and scalable. This role sits at the intersection of backend engineering, infrastructure, MLOps, and product delivery. You will build the production layer around training, evaluation, deployment, serving, CI/CD, experimentation, and monitoring. In a team of the company size, this role spans backend services, infrastructure, tooling, and reliability work. Your job is to make sure promising ML and GenAI capabilities become stable, customer-ready systems.

What You’ll Own:

• Build and maintain the infrastructure and tooling used to train, evaluate, deploy, and monitor ML models and GenAI services;
• Own production services, APIs, and pipelines that power recommendations, agent workflows, and customer-facing integrations;
• Improve CI/CD, testing, release workflows, rollback processes, and environment management;
• Establish observability across service health, model behaviour, agent quality, latency, cost, and failure modes;
• Build reproducibility and lifecycle practices for models, prompts, datasets, configurations, and releases;
• Support experimentation and measurement infrastructure so product and ML changes can be evaluated cleanly;
• Improve reliability, scalability, security, performance, and cost efficiency across the stack;
• Troubleshoot production issues end-to-end and turn recurring pain points into durable engineering improvements;
• Help define the platform and engineering standards the company will rely on as it grows.
   

What Success Looks Like in the First 6 Months:

• Shipping a model or GenAI change to production becomes faster, safer, and less manual;
• Core services and AI workflows are observable and easier to debug;
• The platform supports more usage with better reliability and lower operational friction;
• Engineers spend less time fighting infrastructure and deployment issues and more time shipping product;
• You become the person who can see platform, reliability, and scaling risks early and address them before they become problems.
   

What We’re Looking For:

• Strong software engineering background with experience building and operating production systems;
• Experience with backend services, cloud infrastructure, CI/CD, testing, observability, and automation;
• Strong Python skills and comfort working across services, tooling, infrastructure, and operational workflows;
• Good judgment about reliability, performance, maintainability, and cost tradeoffs;
• Ability to collaborate closely with ML and product teams and move ambiguous work to completion;
• High ownership, attention to detail, and a bias toward simplifying and strengthening systems.
   

Nice to Have:

• Experience with MLOps workflows for model training, evaluation, deployment, and monitoring;
• Experience serving ML models or LLM applications in production;
• Experience with experimentation platforms, event pipelines, analytics instrumentation, or feature delivery platforms;
• Experience with agent evaluation, prompt versioning, retrieval/search infrastructure, or vector-backed systems;
• Experience supporting customer-facing APIs or SaaS platform infrastructure.
   

A Note on Fit:

You do not need to have every tool on your resume to be a strong fit. We care about engineers who learn quickly, take ownership, and can build reliable systems in the real world.
 

Why Join:

• Direct access to the founders and real influence over the platform and engineering direction;
• High-ownership role with room to shape the production foundations of the company from the beginning;
• Opportunity to work on the systems behind recommendation engines and GenAI products that customers actually use;
• Flexible remote environment with strong overlap with European time zones preferred;
• Small team, low bureaucracy, and a lot of room to grow.
   

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

🔹 Lead stability, scalability, and operational excellence at scale.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced Lead DevOps who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.
 

Your key responsibilities will include:

– Owning and managing cloud infrastructure across production, staging, and development environments.
– Designing, implementing, and maintaining CI/CD pipelines and deployment automation.
– Ensuring production stability, high availability, and scalability of all platform services.
– Configuring and maintaining monitoring, alerting, and observability tooling.
– Leading incident response for infrastructure-related issues and driving post-incident reviews.
– Planning and executing capacity management to support platform growth.
– Optimizing infrastructure costs: tracking spend, eliminating waste, right-sizing resources.
– Maintaining disaster recovery procedures, runbooks, and on-call readiness.
– Coordinating with development teams on infrastructure requirements and service dependencies.
– Managing developer tooling and internal platform services to support engineering productivity.
– Ensuring security best practices and compliance requirements across infrastructure.
– Continuously improving deployment processes, reliability, and operational efficiency.
– Leading, mentoring, and growing a team of infrastructure engineers.
– Validating and challenging technical estimates to ensure realistic commitments and early risk visibility.
– Reviewing team output for quality, completeness, and alignment with technical standards.
 

It’s a match if you have:

– 5+ years of experience in infrastructure, DevOps, or platform engineering roles, including at least 2 years in a lead or senior position.
– Strong hands-on experience with AWS (EC2, RDS, S3, ECS/EKS, Lambda, VPC, IAM, CloudFront, Route53, ElastiCache, SQS/SNS).
– Experience with AWS Organizations (multi-account management, SCPs, consolidated billing).
– Proficiency with Infrastructure as Code tools (Terraform, Ansible).
– Deep knowledge of Docker and Kubernetes (autoscaling, network policies, cluster management).
– Experience with Helm, ArgoCD (GitOps workflows), GitLab CI or GitHub Actions.
– Strong monitoring expertise (Datadog, Prometheus, Grafana, ELK, PagerDuty, JSM).
– Experience with Cloudflare (CDN, WAF, DDoS mitigation, Zero Trust).
– Solid networking fundamentals (DNS, ALB/NLB, VPN, VPC peering, firewalls).
– Strong security practices (IAM, Secrets Manager/Vault, CSPM, patch management, compliance readiness).
– Experience with high-load systems, load testing (k6, Locust, Gatling), capacity planning.
– Experience with databases (RDS PostgreSQL/MySQL, DocumentDB, Redshift, Redis/ElastiCache, Kafka).
– Strong Linux administration and scripting skills (Bash, Python).
– Proven ability to mentor engineers and validate technical estimates.
– Strong communication skills and ability to proactively surface risks.
 

What we offer:

– Flexible schedule and remote format or offices in Warsaw.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

You see infrastructure not as a support function, but as a strategic driver of business stability and growth?


Send over your CV now — we’d love to get to know you better!

🔹 Lead stability, scalability, and operational excellence at scale.

Softsich is a young and ambitious international product tech company that develops scalable B2B digital platforms. We’re on the lookout for an experienced DevOps Lead/Head who’s ready to grow with us and shape high-load, data-driven solutions used by international partners.

 

Your key responsibilities will include:

– Owning and managing cloud infrastructure across production, staging, and development environments.
– Designing, implementing, and maintaining CI/CD pipelines and deployment automation.
– Ensuring production stability, high availability, and scalability of all platform services.
– Configuring and maintaining monitoring, alerting, and observability tooling.
– Leading incident response for infrastructure-related issues and driving post-incident reviews.
– Planning and executing capacity management to support platform growth.
– Optimizing infrastructure costs: tracking spend, eliminating waste, right-sizing resources.
– Maintaining disaster recovery procedures, runbooks, and on-call readiness.
– Coordinating with development teams on infrastructure requirements and service dependencies.
– Managing developer tooling and internal platform services to support engineering productivity.
– Ensuring security best practices and compliance requirements across infrastructure.
– Continuously improving deployment processes, reliability, and operational efficiency.
– Leading, mentoring, and growing a team of infrastructure engineers.
– Validating and challenging technical estimates to ensure realistic commitments and early risk visibility.
– Reviewing team output for quality, completeness, and alignment with technical standards.

It’s a match if you have:

– 5+ years of experience in infrastructure, DevOps, or platform engineering roles, including at least 2 years in a lead or senior position.
– Strong hands-on experience with AWS (EC2, RDS, S3, ECS/EKS, Lambda, VPC, IAM, CloudFront, Route53, ElastiCache, SQS/SNS).
– Experience with AWS Organizations (multi-account management, SCPs, consolidated billing).
– Proficiency with Infrastructure as Code tools (Terraform, Ansible).
– Deep knowledge of Docker and Kubernetes (autoscaling, network policies, cluster management).
– Experience with Helm, ArgoCD (GitOps workflows), GitLab CI or GitHub Actions.
– Strong monitoring expertise (Datadog, Prometheus, Grafana, ELK, PagerDuty, JSM).
– Experience with Cloudflare (CDN, WAF, DDoS mitigation, Zero Trust).
– Solid networking fundamentals (DNS, ALB/NLB, VPN, VPC peering, firewalls).
– Strong security practices (IAM, Secrets Manager/Vault, CSPM, patch management, compliance readiness).
– Experience with high-load systems, load testing (k6, Locust, Gatling), capacity planning.
– Experience with databases (RDS PostgreSQL/MySQL, DocumentDB, Redshift, Redis/ElastiCache, Kafka).
– Strong Linux administration and scripting skills (Bash, Python).
– Proven ability to mentor engineers and validate technical estimates.
– Strong communication skills and ability to proactively surface risks.

Nice to have:

– Experience in regulated or high-availability environments.

What we offer:

– Flexible schedule and remote format or offices in Warsaw.
– 24 paid vacation days, sick leaves, and health insurance (UA-based, other locations in progress).
– A supportive, friendly team where knowledge-sharing is part of the culture.
– Coverage for professional events and learning.
– Birthday greetings, team buildings, and warm human connection beyond work.
– Zero joules of energy to the aggressor state, its affiliated businesses, or partners.

You see infrastructure not as a support function, but as a strategic driver of business stability and growth?
 

Send over your CV now — we’d love to get to know you better!

Milionyx is a full-cycle iGaming company. We bring together in-house technology development, performance marketing, analytics, and operational expertise.

We are looking for a Senior Data Scientist to become a key contributor to our Marketing Analytics team. The primary focus of this role is building predictive models that optimize user acquisition, evaluate traffic quality, forecast user value, and maximize marketing ROI.
Our product operates on a white-label solution, so the ideal candidate should be comfortable handling heterogeneous datasets, and developing scalable analytical and ML-solutions.

Responsibilities:
Develop and maintain predictive models for:

• LTV, Early LTV Prediction
• ROAS
• Marketing Payback Period
• FTD Prediction
• Deposit behavior forecasting
• Churn Prediction;
• Analyze traffic quality across acquisition channels and identify optimization opportunities;
• Build user value prediction models using early lifecycle behavioral signals;
• Build ML-solutions to optimize marketing budget allocation;
• Collaborate closely with Marketing, Retention, Product, and Tech Teams;
• Monitor model performance, retrain models when necessary, and support production ML-pipelines.

Required Experience:

• 3+ years of experience as a Data Scientist;
• Strong background in Marketing Analytics, User Acquisition, or Growth Analytics;
• Hands-on experience building predictive models for user behavior and business value forecasting;
• Experience delivering ML-solutions from research through production;
• Experience working with large-scale datasets;
• Ability to work with incomplete and heterogeneous data.

Required Technical Skills:

• Python (Pandas, NumPy, Scikit-learn);
• Advanced SQL;
• Git/GitLab;
• Gradient Boosting (XGBoost, LightGBM, CatBoost);
• Random Forest;
• Logistic Regression;
• Customer Segmentation & Clustering;
• Time Series Forecasting (preferred);
• Uplift Modeling (preferred).

Nice to have:

• AWS ecosystem;
• Amazon Athena;
• Apache Kafka;
• GTA (internal analytical data platform);
• Large-scale event-based datasets.

We offer

• Flexible work format — remote, hybrid, or office in Kyiv, whichever suits you best
• Monday–Friday schedule, 10:00 AM–6:00 PM
• 18 days of paid vacation, 10 sick days
• Direct communication with leadership and real influence on marketing and business decisions, without unnecessary bureaucracy

We are looking for a highly experienced Microsoft Certified Azure Solutions Architect to join our team as a key technical leader with a strong focus on Data & AI and Digital Business Platforms within the Microsoft ecosystem.

This role combines client-facing solution leadership with hands-on architecture and engineering responsibilities. The balance between pre-sales, delivery leadership, and hands-on contribution may vary depending on project phase and business needs.

As a company focused on the DACH region (Germany, Austria, Switzerland), we support enterprise and mid-sized clients in building modern cloud architectures and integrated digital ecosystems — spanning Data & AI, Business Analytics, CRM, ERP, Marketing Automation, E-Commerce, and PIM systems.

You will act as a trusted advisor to clients while helping shape and expand our Microsoft Data & AI and Digital Platforms practice.


Key Responsibilities

Client & Solution Leadership

· Lead architecture and solution design for Azure-based Data, AI, and Digital Platform initiatives.

· Translate complex business requirements into scalable cloud and integrated system architectures.

· Support pre-sales activities as Technical Consultant and Solution Architect.

· Conduct architecture workshops and technical discussions with clients across the DACH region.

· Design integrated enterprise landscapes across:

o Data platforms & Business Analytics

o AI-powered applications

o CRM systems

o ERP platforms

o Marketing automation tools

o E-Commerce systems

o PIM (Product Information Management) systems

· Prepare technical concepts, solution proposals, estimations, and resource planning.

· Ensure architectural governance and quality throughout delivery.


Data, AI & Digital Architecture

· Design and implement modern Azure Data & AI solutions, including:

o Microsoft Fabric / Azure Synapse

o Azure Data Factory / Data Lake

o Azure AI Services / Azure OpenAI

· Architect enterprise-grade Business Analytics and reporting platforms.

· Design and oversee integrations between:

o CRM, ERP, Marketing platforms

o E-Commerce platforms

o PIM systems

o Data and AI ecosystems

· Define scalable integration patterns and API-based architectures.

· Ensure data governance, security, performance, and compliance (especially for DACH markets).

· Identify and implement AI-powered tools to accelerate development and innovation.

· Provide hands-on architectural guidance and mentor engineering teams.

· Drive internal initiatives to strengthen Microsoft Data, AI, and Digital Business capabilities.

Required Qualifications

· 8+ years of professional experience in IT, with strong expertise in solution and cloud architecture.

· University degree in Computer Science, Mathematics, or a related technical field.

· Microsoft Certified: Azure Solutions Architect Expert (required).

· Extensive experience designing and implementing solutions on Microsoft Azure.

· Strong experience in several of the following domains:

o Data platforms & Business Analytics

o AI-driven solutions

o CRM systems (e.g., Dynamics 365 or similar)

o ERP platforms

o Marketing automation tools

o E-Commerce platforms

o PIM systems

· Experience designing system integrations and enterprise architecture landscapes.

· Proven experience in client-facing roles and technical consulting.

· Experience leading development teams and complex project delivery.

· Strong understanding of enterprise architecture patterns, cloud security, and governance.

· Experience with DevOps, CI/CD, and Infrastructure as Code.

· Fluent English (mandatory).

· German language skills are a strong plus, especially for DACH client interaction.

Nice to Have

· Experience with Microsoft Dynamics 365 ecosystem.

· Experience with Microsoft Fabric and advanced analytics platforms.

· Experience integrating AI into CRM, ERP, E-Commerce, or PIM systems.

· Experience working with enterprise clients in the DACH region.

· Experience contributing to internal technology transformation initiatives.

Team Summary

We are the backend engineering team for a data annotation platform that powers AI/ML workflows, including data preparation, quality control, and integration with model training pipelines. Our focus is on backend services, data workflows, platform reliability, and scalability. We collaborate closely with Applied Science, Data, Product, and other engineering teams.

Job Summary

We are seeking an experienced Engineering Lead to guide and manage our backend team. This role combines backend engineering leadership, stakeholder collaboration, ownership of team delivery, and people management. You will be responsible for setting technical direction, driving execution quality, developing engineers, and ensuring the reliability and scalability of engineering systems that directly support AI/ML development.

Responsibilities and Duties

• Lead and manage the backend team and own all aspects of delivery, including planning, execution, technical risk management, and engineering quality
• Drive technical excellence by guiding key design decisions, resolving architectural trade-offs, and supporting the team on complex production, reliability, and scalability issues for backend services, APIs, and data workflows
• Manage and develop engineers through regular 1:1s, performance support, coaching, and career development

• Improve team execution by addressing technical debt, process gaps, and knowledge-sharing needs in partnership with cross-functional stakeholders (Applied Science, Data, Product, etc.)

   

Qualifications and Skills

• Proven experience leading and managing backend engineering teams
• Strong practical experience with Python backend development
• Experience designing, building, and operating production backend services, APIs, and data-processing workflows
• Practical AWS experience for building, operating, and troubleshooting production backend systems
• Experience with containerized backend systems, queues, background jobs, and/or workflow orchestration (Kubernetes experience is preferred)
• Strong system design skills focused on scalability, reliability, and maintainability
• Proven people management skills: coaching, feedback, and engineer development
• Experience with delivery planning, technical risk management, production support, debugging, monitoring, and incident resolution
• Clear and direct communication style with engineers, managers, and stakeholders
• Ability to create clarity in ambiguous situations and make pragmatic decisions that balance speed, quality, and maintainability

Nice to have

• Experience with data-heavy backend systems, data pipelines, or workflow-heavy platforms
• Experience in AI/ML, computer vision, MLOps, or ML-adjacent engineering
• Familiarity with security-sensitive systems, such as access control or auditability
• A product mindset, interest in user workflows, and ability to communicate technical direction to senior stakeholders

About the role

Our client is private equity investor backing growth-stage software companies. Their portfolio companies have strong product-market fit but, being young, lack consistent commercial KPI definitions — so there is no clear, comparable view of performance. This hands-on interim role brings standardized, board-grade commercial reporting into these companies one at a time, starting with ARR and "snowball" analytics, until the reporting is built, trusted, and handed over.

What you'll do

• One company at a time. Embed with a portfolio company and take it through the data maturity curve; each company is a discrete project, worked back-to-back with the next.
• Build the numbers. Create unified commercial reporting from the ground up, starting with ARR and snowball analysis (New, Upsell, Downsell, Churn) to give leadership an accurate view of performance.
• Find the truth. Work out who to ask and where the data lives; partner directly with the CFO or C-1 level and the company's data team where one exists.
• Get it right. Pull together, clean and reconcile data from disparate systems (billing, general ledger, contracts, CRM) into a single source of truth reconciled to the finance ledger — accuracy is the most important outcome.
• Hand over. Once built and validated, transfer ownership to the portfolio company and move to the next project.

What we expect

• Finance & data expertise. Deep expertise in finance and in data and its analysis — able to stand behind your numbers and push back with C-level stakeholders on the strength of that expertise.
• SaaS metrics fluency. Confident with ARR, NRR, churn, snowballs and billings-to-revenue reconciliation.
• Business x technical. Genuinely comfortable at the intersection of business and technical — equally at ease with a commercial conversation and a hands-on build. This matters most; it is not a pure data-engineering role.
• Hands-on delivery. Able to build analyses end-to-end on a modern data stack — Python and SQL, in environments such as Databricks, Azure or GCP — working independently across companies with or without their own data teams. Tooling around the core can be handled pragmatically, including with AI.

Engagement details

• Format. Interim contract, full-time capacity; back-to-back projects across the portfolio. Individual projects run from ~3 months to over a year depending on size and complexity.
• Location. Fully remote. Occasional travel (a few days per month) is welcome but not a hard requirement. Some companies may provide their own device.
• Team & growth. First of several sequential hires as the portfolio scales. Start ASAP; a ramp-up curve is expected.

Are you passionate about safeguarding countries, societies, and businesses from information threats? Look no further! Our rapidly scaling company is passionately committed to this crucial mission, offering you a privileged opportunity to collaborate with some of the world’s most influential organizations, including NATO and the EU.

If you’re ready to join a dynamic team working towards a common vision of a safer digital world, we invite you to be a part of our journey. Shape the future with us and help defend against online threats with purpose and innovation!
 

Role Overview

We’re looking for a Senior AI Engineer with a solid engineering background and hands-on AI experience. In this role, you will help design and implement innovative AI-powered solutions that are core to our platform’s mission. You’ll work across the stack to build and integrate AI capabilities that are both scalable and practical.

You won’t need to build everything from scratch, but you’ll need the skills to fine-tune, adapt, and creatively apply state-of-the-art models and tools to solve real-world problems. Your responsibilities will range from working on backend services to shaping AI agents and LLM-based pipelines for production use.
 

Key Responsibilities

• Understand business challenges and generate innovative ideas to address them using AI and machine learning.
• Research, evaluate, and adapt existing deep learning and machine learning models for practical applications.
• Develop cost-efficient, scalable AI solutions.
• Develop and maintain services for data enrichment using LLMs.
• Design and build AI agentic systems for dynamic use cases.
• Monitor industry advancements and identify opportunities to leverage the latest tools and techniques.

Requirements

Engineering Skills:

• Strong Python skills.
• Experience with FastAPI, Docker, and asynchronous programming.
• Good knowledge of DBs, including PostgreSQL, Elasticsearch, and Vector DBs.

AI Skills:

• At least 3+ years of hands-on experience in AI/ML, with a focus on LLM-based systems.
• Proven experience building RAG systems in production.
• Experience designing and implementing agentic systems.
• Strong understanding of transformer architectures.
• Practical experience with prompt engineering.
• Knowledge of LLM infrastructure and deployment.
• Experience with deep learning frameworks such as PyTorch or TensorFlow.
• Understanding of evaluation methodologies for LLM outputs

We Offer

• Opportunity to contribute to a mission-driven startup and support prestigious clients, including governments worldwide, enterprise clients, and leading NGOs in addressing information threats and tackling security challenges.
• Autonomy and freedom to drive experiments and bring your own ideas to life.
• Flexibility of fully remote work.
• Flexible, unlimited time-off policy.

We are a global group of companies operating since 2015. We run multiple B2C sports betting and casino brands and are focused on Tier 1-2 markets.

Responsibilities

• Oversee day-to-day execution across core business functions and keep operations running smoothly
• Build operational routines: planning, follow-up, reporting, and basic control of results
• Support and review marketing + online performance activities together with the team (planning, checks, post-analysis)
• Spot bottlenecks and propose improvements: process optimization, simple automation, scaling ideas
• Own communication with traffic partners and affiliates: negotiate conditions, document agreements, track outcomes
• Maintain a KPI dashboard mindset: monitor key numbers and ensure actions match business priorities
• In the early phase, be involved hands-on in several directions; later, shift focus toward delegation and coordinating a growing team

Requirements

• English level: confident working proficiency (B2+)
• 2+ years in operational roles in iGaming / sports betting  (B2C focus)
• Experience launching or expanding into new GEOs and increasing operational capacity without chaos
• Comfortable using BI dashboards and task trackers as an end user (not a data analyst role)
• High initiative, fast reaction, ownership mentality, ability to drive things to completion

Most QA roles ask you to test software. This one asks you to rethink how testing works from the ground up. Taking on a high-impact role spanning all Glorium Technologies projects, your immediate focus will be our flagship healthcare SaaS platform. With AI features already in production, you will lead the charge to help our QA function evolve and catch up. The challenge: replace manual-heavy processes with AI-driven pipelines, build frameworks that can actually evaluate LLM behavior, and make sure clinical data flows are handled with the rigor they require. It's a hands-on lead role with real ownership over where quality engineering goes next.

Does this relate to you?

• 6–8+ years in QA or Quality Engineering, with a track record of owning strategy — not just executing test plans.
• You've integrated AI into the testing lifecycle — automated test case generation, self-healing scripts, or LLM-assisted log analysis — and can show what that looked like in practice.
• Expert-level experience with modern automation frameworks (Playwright, Cypress, or Selenium) across web, API, and mobile layers, with solid CI/CD integration skills.
• Comfortable working with observability tooling (Datadog, OpenTelemetry, or similar) to analyze system behavior and surface quality signals.
• Familiar with healthcare data standards and compliance requirements — you know how to handle synthetic PII, what to mask, and why it matters in a clinical context.
• AI tools are a core part of how you work — you use them daily to accelerate test design, generate synthetic data, and optimize prompts, not just to write boilerplate faster.
• English — Upper-Intermediate.

A new team member will be in charge of:

• Own the QA strategy end-to-end — and evolve it into an AI-first quality system that scales with the product.
• Drive AI-assisted and self-healing test automation, replacing manual-heavy workflows with pipelines that run themselves.
• Lead quality assurance across healthcare SaaS workflows — ensuring correctness of clinical data flows and compliance with HIPAA and GDPR requirements.
• Mentor the QA team on AI tooling, prompt engineering, and automation thinking — shifting the team's mindset, not just their toolset.

How We Support Your Success:

• Remote or hybrid? The choice is yours. We offer a highly flexible approach to time off and personal days, empowering you to manage your own work-life balance.
• We invest in your proactive mindset. Access dedicated professional training and development opportunities, customized to align with your career goals.
• Sharpen your cross-cultural communication with our dedicated in-house English tutor.
• Influence our growth and culture. Participate in our Referral Bonus program to get rewarded for bringing top talent to the team, and benefit from our Recognition Reward program, which celebrates and rewards your productivity and contributions as a team member.
• We recognize that life happens outside of work. Enjoy special perks to celebrate your birthdays, weddings, and the arrival of new family members.
• We handle the logistics so you can focus on ownership. Benefit from dedicated invoicing assistance, tech admin support, and proactive People Partnership.

Please note: Specific financial allowances, insurance options, and localized administrative support vary by country. We will gladly discuss the tailored package available in your specific location during our conversation!
 

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

We're hiring a Data Analyst to join a fast-growing UK-based PropTech startup transforming the residential lettings and property management industry.

The company combines modern SaaS technology with AI-driven automation to streamline property operations, tenant management, payments, maintenance, and internal workflows. As the business scales through acquisitions, the platform plays a key role in standardizing operations, improving efficiency, and delivering a better experience for landlords, tenants, and internal teams.

You'll work closely with Product, Engineering, Operations, and Commercial teams, turning complex business data into actionable insights that influence product decisions and business growth.
 

Responsibilities

• Analyze large datasets to identify trends, bottlenecks, and growth opportunities.
• Define, measure, and monitor KPIs across product and business operations.
• Build dashboards, reports, and self-service analytics for different stakeholders.
• Partner with Product and Engineering teams to evaluate feature performance and support data-driven decision making.
• Translate ambiguous business questions into structured analytical frameworks.
• Improve data quality, reporting consistency, and analytical processes.
• Present insights and recommendations to both technical and non-technical stakeholders.
   

Requirements

• 3+ years of experience in Data Analytics, Business Intelligence, or a similar role.
• Strong SQL skills (required).
• Experience with BI tools such as Looker, Power BI, Tableau, Metabase, or similar.
• Strong analytical and problem-solving skills.
• High attention to detail and commitment to data accuracy.
• Ability to communicate business insights clearly.
• Comfortable working in a fast-paced startup environment.
• Upper-Intermediate+ English.
   

Nice to Have

• Experience working with product analytics.
• Experience in SaaS, PropTech, FinTech, or other high-growth technology companies.
• Familiarity with experimentation, KPI design, and data-driven product development.