Jobs at Djinni

Head of Affiliate | iGaming | LATAM

Build an affiliate channel around valuable partnerships, quality traffic and sustainable growth.

We are looking for a Head of Affiliate to lead partner acquisition and development across LATAM. The role requires a strong commercial mindset, an understanding of affiliate economics and the ability to turn relationships into consistent business results.

You will work across the full partnership cycle: market mapping, outreach, negotiations, launch, optimisation and long-term development.

What you will do:
• Develop an affiliate growth strategy for priority LATAM markets.
• Identify and attract relevant affiliates, publishers and media buying teams.
• Negotiate CPA, RevShare and Hybrid agreements based on traffic quality and unit economics.
• Build a structured partner pipeline and prioritise commercial opportunities.
• Coordinate partner onboarding, tracking setup and campaign launches.
• Analyse partner performance beyond registrations and first deposits.
• Monitor player quality, retention, revenue contribution and payback.
• Identify underperforming sources and agree on optimisation plans.
• Work with analytics, product, finance and risk teams on tracking, reconciliation and traffic quality.
• Establish clear workflows, reporting and performance standards for the affiliate function.

What we are looking for:
• Experience in affiliate marketing within online casino or sportsbook.
• Practical experience acquiring and developing partners in LATAM.
• Experience leading an affiliate function, team or market direction.
• Strong negotiation skills and understanding of CPA, RevShare and Hybrid models.
• Ability to assess partner performance using commercial and player-quality metrics.
• Understanding of tracking, attribution and common traffic-quality issues.
• Evidence of partnerships you personally sourced, launched or scaled.
• Willingness to stay involved in negotiations and key partner relationships.

What makes this role interesting:
• Responsibility for both partner development and channel performance.
• A regional focus with room for a market-specific approach.
• Commercial decisions supported by player-quality and revenue data.
• The opportunity to build repeatable processes around a relationship-driven channel.

To apply, share your CV and a brief example of a LATAM partnership you personally developed, including your role and the business outcome.

Description

System Application Architect, you will define, scale, and secure connected-health ecosystem for Cardiac Rhythm Management (CRM). Operating as a senior individual contributor, this role bridges the end-to-end software spectrum – from on-device telemetry and embedded interfaces to streaming cloud infrastructure, big data pipelines, AI/ML enablement, and clinician/patient application platforms.

Beyond core system design, you will serve as the cornerstone of technical thought leadership and governance across the organization. You will establish modern engineering guardrails, lead cross-functional architecture forums, and guide engineering teams through complex implementation cycles. Partnering closely with R&D, Product, Quality, Regulatory, and Security stakeholders, you will drive technology strategy to ensure our software ecosystem is secure, resilient, compliant, and directly aligned with long-term business growth.

Requirements

General expectation

• Knowledge of applicable Cybersecurity and Privacy standards and regulations (HIPAA, GDPR, etc.)
• Knowledge of applicable medical software standards and regulations (FDA guidelines)
• DHF process understanding
• Cloud/AWS, Infrastructure/Terraform/Kubernetes experience
• System Architecture experience
• Communication with cross regional team in US and CEE
• Actively contributing to architectural decisions around Platform, Embedded, Mobile apps, Cloud, APIs, backend services, and data flows, with a strong focus on performance, security, and reliability
• Working closely with engineers to review designs, unblock implementation, and ensure architectural decisions are executed correctly
• Working with short-term MVP and with longer-term architectural improvements
• Contributing to effort estimation, roadmap prep, and the commercial proposal for MVP delivery

Required Qualifications

• Experience: 10+ years of progressive software engineering experience, with at least 4+ years serving in a Principal Architect, Lead Architect, or Systems Architect capacity for large-scale distributed systems.
• Domain Expertise: Proven track record architecting high-reliability, cloud-native platforms within the MedTech, Digital Health, Biotech, or IoT device sectors. Direct experience handling continuous sensor data or streaming telemetry is highly preferred.
• Cloud & Distributed Systems: Expert-level mastery of cloud environments (AWS or Azure), microservices, event-driven architectures, containerization (Docker, Kubernetes), and modern Infrastructure as Code (IaC) / DevOps/SRE practices.
• Data Pipelines & Telemetry: Deep hands-on experience with real-time streaming architectures (e.g., Kafka, Kinesis), time-series databases, relational databases, and enterprise data warehousing.
• Regulatory & Compliance: Hands-on understanding of healthcare data security, privacy standards (HIPAA, GDPR), and medical software design processes (DHF, FDA guidance, IEC 62304).
• Leadership & Communication: Exceptional ability to articulate complex architectural concepts, trade-offs, and risks to both executive stakeholders and engineering teams without direct line authority.
• Interoperability: Deep experience with healthcare data exchange standards (HL7, FHIR) and electronic health record (EHR/EMR) integrations.
• Data Stack & AI/ML: Familiarity with modern data stack tools (e.g., Snowflake, Databricks, BigQuery) and MLOps platforms for model deployment and clinical decision support.

Job responsibilities

Key Responsibilities

1. Technical Thought Leadership & Strategy
Act as the subject matter expert and visionary for data architecture, cloud-native infrastructure, and IoT streaming analytics.
Author technical white papers and design blueprints to drive consensus on long-term engineering strategies.
Stay at the absolute forefront of emerging cloud technologies, evaluate third-party tools, and lead Proof of Concept (PoC) initiatives to constantly improve platform performance and reduce cost.
Evangelize best practices in system scalability, data modeling, time-series data storage, and microservices architecture across the organization.

2. Engineering Team Guidance & Mentorship
Provide hands-on guidance, technical direction, and architectural oversight to cross-functional engineering teams during implementation.
Deconstruct complex architectural visions into actionable technical roadmaps and design patterns that development teams can seamlessly execute.
Conduct rigorous architecture and code reviews to ensure alignment with defined data models, engineering standards, and security postures.
Mentor senior and staff engineers, cultivating a culture of high performance, continuous learning, and robust engineering discipline.

3. Cloud Infrastructure & Platform Architecture
Design and implement high-availability, fault-tolerant, and horizontally scalable cloud architectures capable of handling millions of concurrent streaming device connections.
Define blueprints for microservices infrastructure, serverless computing, and infrastructure-as-code (IaC).
Implement robust business continuity, disaster recovery, and data replication strategies across multiple geographical regions.

4. IoT Telemetry & Big Data Engineering
Architect end-to-end data pipelines for ultra-low latency ingestion of continuous, multi-lead time-series ECG data from portable hardware devices.
Leverage modern streaming technologies (e.g., Apache Kafka, AWS Kinesis, Spark Streaming) to decouple data producers from down-stream storage and analytics engines.
Establish a multi-tiered data storage strategy (Hot/Warm/Cold), defining when to use time-series databases (InfluxDB, TimescaleDB), NoSQL (MongoDB, DynamoDB), and scalable Object Storage/Data Lakes (AWS S3) for long-term historical analysis.

5. Healthcare Interoperability & Analytics Enablement
Harmonize diverse clinical and device datasets into structured healthcare standards, specifically HL7/FHIR (or similar), and customized JSON payloads.
Build foundational data warehouse/data lakehouse infrastructure (Snowflake, Databricks, BigQuery) that enables data scientists to train next-generation AI algorithms for automated arrhythmia detection.
Architect secure APIs (GraphQL/REST) to seamlessly expose telemetry metrics and diagnostic insights to electronic health records (EHR/EMR) systems and web/mobile cardiologist dashboards.

6. Security, Compliance & Data Privacy
Architect the platform to maintain strict compliance with global medical data privacy standards, including HIPAA, GDPR, and HITRUST.
Collaborate with Quality Assurance and Regulatory Affairs (QARA) teams to ensure documentation satisfies FDA Title 21 CFR Part 11, IEC 62304, and ISO 13485 software lifecycle standards.
Implement state-of-the-art security postures including end-to-end encryption (at rest and in transit), robust Identity & Access Management (IAM), and tokenization of Protected Health Information (PHI).

7. Product & Growth orientation
Drive technology strategy aligned with business and product objectives
Define and influence product and platform vision
Identify new opportunities for business and platform growth
Support platform evolution, scalability, and long-term technology direction
Partner with business and product stakeholders to shape strategic initiatives

About the Role

We are looking for a hands-on Growth Lead to validate demand, drive customer acquisition, and scale digital products across emerging technology and consumer-focused markets.

You will work across growth strategy, experimentation, analytics, and monetization, turning hypotheses into measurable business results.

Key Responsibilities

• Develop and validate growth and market hypotheses.
• Identify target audiences, value propositions, pricing, and acquisition channels.
• Launch and optimize paid campaigns, landing pages, and growth experiments.
• Improve acquisition, activation, retention, and monetization funnels.
• Conduct customer research, market validation, and B2B outreach.
• Track CAC, LTV, conversion rates, retention, and channel profitability.
• Use AI tools and automation to improve growth operations.
• Make data-driven decisions on which channels and initiatives to scale.

Requirements

• 5+ years of experience in Growth, Product Growth, or Performance Marketing.
• Hands-on experience scaling digital products from 0 to 1.
• Strong understanding of acquisition, activation, retention, and monetization.
• Experience with paid acquisition, experimentation, and growth analytics.
• Ability to independently execute tests and analyze results.
• Strong analytical skills, ownership, and an execution-oriented mindset.
• Confident English communication skills.

Experience in AI products, digital health, wellness, subscription models, or international growth is a plus.

What We Offer

• Fully remote working environment.
• High autonomy and direct collaboration with product and business leadership.
• The opportunity to work across multiple digital products and new ventures.
• Potential to build and lead a dedicated growth function as the business scales.

Head of CRM & Retention | iGaming | LATAM

Turn player insights into a retention strategy that delivers measurable business growth.

We are looking for a Head of CRM & Retention to lead the player lifecycle across LATAM markets. This role combines strategic ownership with hands-on execution: understanding player behaviour, identifying opportunities and turning them into relevant communication, stronger engagement and sustainable revenue.

Your scope will cover activation, repeat deposits, retention and reactivation, with a clear focus on the commercial impact of CRM activities.

What you will do:
• Develop and execute a CRM and retention strategy tailored to individual LATAM markets.
• Build lifecycle journeys from registration and first deposit through repeat activity and reactivation.
• Segment players by behaviour, value, lifecycle stage and engagement.
• Develop trigger-based and promotional campaigns across relevant CRM channels.
• Own the promotional calendar and evaluate bonus efficiency.
• Define reporting for retention, churn, repeat deposits, LTV and campaign performance.
• Run experiments using clear hypotheses, control groups and measurable success criteria.
• Work with product, analytics, acquisition and customer-facing teams to improve the player experience.
• Set priorities and quality standards for CRM execution.
• Ensure communication respects player preferences and responsible gaming requirements.

What we are looking for:
• Experience owning CRM or retention activities in an online casino or sportsbook.
• Practical experience with LATAM audiences and the ability to explain how your approach differed between markets.
• Experience leading a CRM function, team or substantial cross-functional initiatives.
• Strong understanding of lifecycle marketing, segmentation, automation and bonus mechanics.
• Ability to connect campaign performance with player value and business outcomes.
• Confidence working with CRM platforms, dashboards and analytical teams.
• A hands-on approach to testing, troubleshooting and improving campaigns.

What makes this role interesting:
• Ownership across the full player lifecycle.
• A combination of strategic decisions and practical execution.
• The opportunity to shape CRM priorities around evidence and commercial impact.
• A regional focus that requires meaningful localisation rather than direct translation.

To apply, share your CV and one example of a retention initiative you personally led: the market, the challenge, your actions and the result.

Company Overview

Robots & Pencils is an applied AI engineering firm building the next frontier of business architecture. We design and ship AI co-workers that integrate into enterprise operations and deliver measurable results for our clients. We're all in on AWS, combining deep UX capability with senior engineering talent to get AI into production fast and keep it there.
We’ve earned the trust of leaders across Consumer Products and Retail, Education, Energy, Financial Services, Healthcare, and Manufacturing and more, and earned a reputation as the nimble alternative to traditional global systems integrators. Founded in 2009, with delivery centers in Canada, the United States, Eastern Europe, and Latin America, we are smaller, faster, and more senior by design. Our teams average 15+ years of experience. We move fast, sweat the details, and build things that actually ship.
 

Position Overview

We’re looking for a Principal AI Engineer to define and drive the technical direction of our AI/ML systems. This role is ideal for a deeply experienced engineer who leads from the front — shaping architecture at the system level, solving the hardest problems, and raising the bar for how AI gets built and operated across the organization.

In this role, you will work on a cross-functional team, setting AI architecture standards, leading complex system design and implementation challenges, and solving integration problems that require both deep expertise and broad systems thinking. You’ll partner closely with leadership to define the AI roadmap and make high-stakes technical decisions that shape how our AI work scales across clients and over time.

Why This Role Matters

At Robots & Pencils, we design AI systems for a human world. Our name says it all. Robots and pencils means engineering paired with creativity, because every agent we ship has to work for real people in real workflows. That balance is baked into how we operate.

Every role here contributes directly to that mission. Here, you shape how AI systems integrate into enterprise operations, how teams move at real velocity, and how products create measurable impact for clients and the people they serve. We ship production-ready AI in 30 to 45 days. That pace demands people who take ownership, lead with craft, and care deeply about what they put their name on.

What You’ll Do

Craft & Delivery

• Define AI architecture and technical strategy, and lead implementation across the full lifecycle from design through production
• Build scalable ML platforms, pipelines, and workflow orchestration that support model development and event-driven, asynchronous operations at scale
• Architect and build LLM-powered systems, including prompt engineering, function/tool calling, multi-agent orchestration, RAG patterns, vector databases, embeddings, and streaming responses
• Design and develop APIs and backend services that integrate AI capabilities with enterprise systems and third-party platforms
• Lead model development, optimization, and the path from research to production, ensuring promising approaches translate into reliable, production-ready systems
• Ensure AI reliability, security, and scalability across deployed systems, including logging, monitoring, and debugging in production environments
• Bring an AI-forward mindset to your daily work, using tools like Claude, Cursor, and other modern AI assistants to ship higher-quality work at pace

Collaboration & Communication

• Co-define the AI roadmap with leadership, operating as a peer in strategic technical conversations
• Communicate complex technical concepts clearly to engineering and non-engineering stakeholders alike, translating depth into decisions others can act on
• Engage with product, engineering, and data teams to align AI work with broader business priorities

Leadership & Influence

• Define and champion AI engineering standards that shape how the organization builds and operates AI systems
• Mentor across the organization, shaping engineering culture and developing the next generation of technical leaders
• Own high-stakes architectural decisions that carry significant organizational and cross-engagement weight
• Drive technical vision — defining not just what gets built, but how AI engineering evolves at R&P over time

What You’ll Bring

• 9+ years of professional software engineering experience, with 5+ years focused on AI/ML systems in production and deep, hands-on expertise with generative AI development
• Expert software engineering background (Python or similar) with strong design sensibilities for distributed, scalable, and maintainable systems
• Deep experience designing distributed systems and event-driven architectures that underpin production AI workloads
• Deep expertise with cloud platforms, with mastery of AWS services and AWS GenAI offerings
• Proven track record architecting and shipping complex agentic systems in production across multiple teams or engagements
• Mastery of AI frameworks and orchestration tools, with clear judgment on when to adopt versus build
• Deep experience with evaluation frameworks and observability tools for LLM apps, including establishing these practices where they don't yet exist
• Deep expertise in AI safety, responsible AI principles, prompt injection defenses, PII handling, and AI governance and compliance in production
• Extensive experience designing RAG architectures: chunking strategies, embedding models, vector databases, and advanced retrieval techniques
• API and systems design experience, including architecting and integrating with internal and third-party services at scale
• Advanced cost optimization expertise: token economics, caching strategies, model routing, quantization
• Strong working knowledge of Docker, Kubernetes, and cloud-native AI architecture patterns
• Expertise in MLOps and AI infrastructure, including model versioning, monitoring, deployment automation, and reproducibility
• Demonstrable, day-to-day usage and expert command of AI-forward coding tools such as Claude Code and Cursor
• Track record of technical leadership and mentoring at an organizational level, with influence that extends beyond the immediate team
• Excellent problem-solving and stakeholder communication skills, with the ability to navigate the most ambiguous technical and business challenges with sound judgment

You’ll Do Well Here if You Are

• A doer. You see something broken and fix it. You'd rather move on clarity than wait for certainty.
• A fast learner who knows you don't know everything. The AI landscape changes weekly. You're senior enough to know better and curious enough to keep learning anyway.
• Direct in a way that makes the work better. You give honest feedback. You'd rather have the hard conversation than blow smoke.
• Obsessed with craft. You know genius is in the details. You ship exceptional, not perfect, and you don't put your name on work you wouldn't stand behind.
• Built for ownership. You honor commitments, admit mistakes fast, and back your teammates when a decision costs something. No handoffs, no finger-pointing.
• All in. You treat clients' businesses like your own. You take the work seriously without taking yourself seriously.
• Resourceful when the budget, timeline, or team is tight. Constraints don't slow you down. They sharpen you.
• Glad to be in the room with people who care as much as you do. Our teams average fifteen-plus years of experience. We hire people who push each other to do better work.

We Offer

• 20 days of paid vacation.
• 15 days of unpaid vacation.
• All official public holidays off.
• 5 paid sick days without a doctor's certificate.
• Medical insurance.
• Military draft deferment (reservation) support.
• Cooperation under a gig-contract.

About the Role

We are looking for an entrepreneurial leader to build and scale a creator-driven content distribution business within the UGC and digital marketing industry.

You will own business development, revenue growth, operational efficiency, and the development of a scalable marketplace connecting brands with content creators.

Key Responsibilities

• Business Development: Acquire B2B clients, lead negotiations, close deals, and build long-term partnerships.
• Marketplace Development: Validate the business model, define monetization strategies, and collaborate with product and engineering teams.
• Creator Network Growth: Scale an international network of creators, managing recruitment, onboarding, quality control, and retention.
• Operations: Build scalable workflows, automate processes, and establish performance standards.
• Financial Management: Own P&L, optimize unit economics, and ensure sustainable profitability.
• Team Leadership: Build and manage a remote team focused on growth and operational excellence.

Requirements

• 2+ years of experience managing revenue, profitability, and P&L.
• Proven B2B sales experience in digital marketing, UGC, or content services.
• Experience managing large distributed teams or contractor networks.
• Strong understanding of TikTok, Instagram Reels, and YouTube Shorts.
• Ability to analyze financial metrics and optimize unit economics.
• Business-level English (B2+).
• Hands-on experience with AI tools and workflow automation.
• Entrepreneurial mindset and proven ability to scale early-stage businesses.

Nice to Have

• Experience launching a marketplace from scratch.
• Background in influencer marketing, creator platforms, or digital agencies.
• Experience with international teams and contractor payment systems.

What We Offer

• Fully remote work.
• Direct collaboration with senior leadership.
• High autonomy and ownership of business results.
• Cross-functional support from product, technology, and marketing teams.
• Opportunity to build and scale a profitable business unit.

Recruitment Process

1. CV screening.
2. Introductory interview.
3. Practical business case covering unit economics and a 90-day growth plan.
4. Final interview and reference checks.

How to Apply

At MacPaw, we craft software that makes everyday tech life simpler, cleaner, and more enjoyable. From globally loved products like CleanMyMac and Setapp to emerging cybersecurity tools like ClearVPN and Moonlock, we are building a product ecosystem that reaches millions of people worldwide.

We believe humans and technology can reach their greatest potential together. By fusing high engineering standards, thoughtful design, and practical AI, we rethink how people interact with their devices and shape the daily tech routines of the future.

Working at MacPaw means owning outcomes, not just tasks. We build for global scale from day one, giving you the trust, freedom, and room to experiment.

We are looking for a Senior Accountant who genuinely enjoys bringing order to complex financial data, digging into standard interpretations, and building smooth reporting workflows across international entities.
The core of this role is group-level controlling, IFRS methodology, and audit management. Entity teams handle day-to-day accounting and operational closes, so your job is to set clear policies, verify entity submissions, and lead external audits. We also expect you to use AI tools in your daily work to draft policies, analyze contracts, and speed up routine tasks.

In this role, you will

• Lead group-level audit workstreams end-to-end, prepare audit-ready schedules, and partner directly with external auditors to resolve complex queries independently.
• Evaluate non-routine or complex group transactions against IFRS standards, analyze judgmental areas, and document formal accounting conclusions.
• Draft and update clear Group Accounting Policies and turn rigid standards into practical, step-by-step guidance for local finance teams.
• Review and challenge monthly entity reporting submissions to spot policy discrepancies, ensure data integrity, and clear differences before group consolidation.
• Identify control gaps across group reporting processes, design robust internal controls, and document them to support board and executive reporting readiness.
• Leverage AI tools to speed up document reviews, policy drafting, and audit evidence analysis while keeping data usage responsible and compliant.

Skills you’ll need to bring

• 4+ years of accounting or finance experience in an international or multi-entity environment.
• Strong technical IFRS expertise with the ability to reason directly from standards and navigate differences with local GAAPs.
• Hands-on track record of leading group audits, driving auditor communications, and managing queries through to final sign-off.
• Proven ability to design, write, and roll out practical group-level accounting policies and guidelines.
• Solid background in group accounting controlling, reviewing multi-entity submissions, and maintaining overall balance sheet integrity.
• Active experience using AI tools in daily work to improve speed and quality, from policy drafting to contract review.
• Advanced Excel skills and strong confidence working with ERP systems for consolidating and analyzing multi-entity data.
• Advanced English and native Ukrainian to present financial data clearly to international stakeholders, board members, and external auditors.
• Strong individual-contributor accountability, proactive problem-solving, and comfort operating through ambiguity.

As a plus

• Background in Big-4 / audit firm or hands-on financial statement preparation and close processes
• Professional accounting qualification or active progress toward ACCA, DipIFR, CIPA, or CPA.
• Practical experience in multi-entity consolidation, intercompany eliminations, and FX accounting
• Hands-on familiarity with Odoo or similar ERP systems, plus data automation skills like SQL or BigQuery.

What we offer:

• We are a Ukrainian company, and we stand with Ukraine against the russian aggression
  We maintain workplaces for the mobilized Macpawians and provide financial support to colleagues or their families affected by the war. Here, you can also read about the MacPaw Foundation, which intends to help save the lives of Ukrainian defenders and provide relief to as many civilians as possible.
• We are committed to our veterans
  Our Veteran Career and Empowerment Program is designed to ensure our veterans and active military personnel receive the recognition, support, and opportunities they deserve.
• Hybrid work model
  Whether to work remotely or at the hub is entirely up to you. If you decide to mix it, our Kyiv office, which works as a coworking space, is open around the clock. The office is supplied with UPS and Starlink for an uninterrupted work process.
• Your health always comes first
  We guarantee medical insurance starting on your first working month. For those abroad, you can receive a yearly Medical insurance allowance as compensation for managing your medical expenses.
• Flexible working hours
  You can choose a schedule that is comfortable for you. No one here tracks your clock in/out because MacPaw is built on trust and cooperation.
• Space to grow both professionally and personally
  Education opportunities to grow both hard and soft skills, annual development reviews, and internal community.
• Teams we are proud of
  We build honest, transparent, and reliable relationships within teams. Every Macpawian can improve processes and implement their ideas. We encourage open and constructive feedback and provide training for Macpawians on giving and receiving feedback.
• Office designed for people (and pets)
  Our office has it all: a spacious workplace with enough room for sitting up, lying down, and running around; a gym for recreation; cozy kitchens; a sleeping/meditation room; and a terrace with a view where we throw summer parties. Also, we have two cats living in the office, and you are welcome to bring your pets to the office (we have separate floors for cats and dogs).
• Time-off policy that covers life’s needs
  Convenient personal time-off policy to help you take care of essential matters in your personal life, and parental leaves. On top of all that, sabbaticals are open after 5 years of being with MacPaw.
• Join social initiatives with MacPawCares
  MacPaw participates in numerous humanitarian aid and charity projects across many fields, and you are welcome to jump in to make the world a better place.
• We’re an equal-opportunity employer. Here is a safe place for applicants of all backgrounds
  We are hiring talented humans. Meaning with all our variety of backgrounds and identities, including service members and veterans, women, members of the LGBTQIA+ community, individuals with disabilities, and other often underrepresented groups. MacPaw does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, veteran or disability status.
  
  *Some benefits are under development, and new adjustments are possible.

RISK inc: An International iGaming Company Pushing the Boundaries of Entertainment

Who We Are: An international iGaming company specializing in identifying and fostering the growth of high-potential entertainment markets. With 1000+ professionals in 20+ locations, we operate in 10 countries, serving over 300,000 customers.

Always Pushing the Boundaries? You Already Belong at RISK!

Our global-scale operations are based on strong internal expertise, analytics, and data research. We have expertise in iGaming operations (sports betting, online casino), digital and affiliate marketing, tech solutions, and data analytics.

We are looking for a Senior Product Manager to join our team.

Responsibilities:

• Manage and develop products across multiple brands and GEOs;
• Analyze user behavior, product funnels, and key business metrics;
• Identify product opportunities and bottlenecks through data, user research, and competitor analysis;
• Generate, validate, and prioritize product ideas that improve user experience and business results;
• Own initiatives from problem definition and requirements to release and post-launch analysis;
• Prepare clear product requirements, specifications, and user stories;
• Drive releases, identify blockers, and ensure tasks move forward;
• Work closely with CRM, Marketing, Analytics, Design, Content, and Technical teams;

• Participate in product roadmap planning and prioritization, bringing data-driven recommendations.

   

Requirements:

• 4+ years of Product Management experience, including hands-on experience with B2C products in iGaming;
• Strong understanding of online casino and/or sportsbook products, user journeys, and key metrics;
• Data-driven approach and experience evaluating product decisions through metrics, A/B tests, or alternative measurement methods;
• Strong ownership and ability to independently drive initiatives and remove blockers;
• Ability to work effectively in a fast-changing environment with multiple priorities;
• Strong technical understanding of platform capabilities, integrations, dependencies, and product constraints;
• Ability to balance user value, technical feasibility, and implementation effort when shaping product solutions;
• Fluent Ukrainian or Russian for internal communication;

• English - Intermediate or higher.

   

Will be a plus:

• Experience with Tableau or other BI tools;
• Experience with new market or product launches.

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

This is not a traditional fullstack development assignment. Client requires specialists capable of combining established software engineering practices with the design, integration and optimisation of AI-powered functionalities within business-critical banking applications.

The candidates will initially support the maintenance, stability and continuous improvement of existing applications. Over time, they will progressively assume full responsibility for implementing new functionality and translating business requirements into production-ready solutions.

Key responsibilities:
1. Maintain, troubleshoot and continuously improve existing applications and services to ensure stability, performance and reliability.
2. Independently analyse business requirements, design solutions and implement new application features and enhancements.
3. Contribute to the design, development and continuous improvement of AI-powered application functionalities.
4. Support the architecture and implementation of intelligent chatbot solutions powered by Large Language Models.
5. Develop and integrate application interfaces to enable reliable communication between internal systems, external platforms and AI services.
6. Participate in architectural decisions concerning application scalability, infrastructure, maintainability and security.
7. Support deployment, operation and optimisation of applications within cloud-native and containerised environments.
8. Collaborate closely with developers, architects, business stakeholders and other cross-functional team members.
9. Work within an Agile/Scrum environment, participating in planning, refinement, implementation and delivery activities.
10. Apply secure development practices, including protection against misuse, inappropriate content and unauthorised access.
11. Ensure that implemented solutio

Must-haves:
1. Python development: Strong professional experience developing, maintaining and optimising backend services using Python. Candidates must be capable of independently implementing complex business logic and delivering reliable, maintainable applications.

2. Angular 21+: Hands-on experience developing modern frontend applications using Angular version 21 or newer, including implementing new features, maintaining existing components and integrating frontend applications with backend services.

3. Fullstack software engineering: Proven ability to work across frontend and backend components, understand end-to-end application architecture and deliver complete functional solutions.

4. AI and LLM integration: Practical experience designing, developing and integrating AI-powered application components, particularly solutions based on Large Language Models.

5. LangChain and LangGraph: Hands-on experience with both frameworks to develop, orchestrate and manage LLM-driven workflows, application logic and AI-based interactions.

6. MCP and A2A: Practical experience with Model Context Protocol (MCP) and Agent-to-Agent (A2A) technologies for connecting AI systems, external tools and agent-based functionalities.

7. LLM chatbot development: Experience designing and implementing LLM-powered chatbot solutions, including conversation handling, integration with existing systems and production deployment.

8. Prompt Engineering: Ability to design, structure, test and optimise prompts to improve the quality, consistency, reliability and relevance of AI-generated responses.

9. OpenAI integration: Experience integrating OpenAI or comparable AI platforms into software applications through APIs and related integration mechanisms.

10. AI solution architecture: Understanding of architectural patterns for building secure, reliable, scalable and maintainable AI-powered software solutions.

11. Containerisation and orchestration: Practical experience with OpenShift, Kubernetes and Docker for deploying, managing and maintaining containerised applications.

12. GitLab and Helm: Experience using GitLab within software development workflows and Helm for managing application deployments in Kubernetes environments.

13. PostgreSQL: Experience working with PostgreSQL databases, including application integration, data persistence and database-related development activities.

14. REST API development: Strong experience designing, developing, integrating and maintaining REST APIs and other application interfaces.

15. Network infrastructure and security: Good understanding of networking principles, infrastructure components, secure communication and relevant application security concepts.

16. AI application security: Experience implementing security and protection mechanisms, specifically:
- Rate limiting to control request volumes and prevent misuse.
- Spam protection to reduce malicious or unwanted interactions.
- Guardrails to control AI behaviour and enforce application policies.
- Content filtering to prevent inappropriate or prohibited outputs.
- Content moderation to identify and manage potentially harmful user inputs and AI-generated content.
17. Agile/Scrum: Practical experience working within Agile software development teams, including sprint planning, collaboration, iterative delivery and continuous improvement.

18. Jira and Confluence: Experience using Jira for task and project tracking and Confluence for technical documentation and knowledge sharing.

19. Independent delivery: Ability to transition from supporting maintenance activities to independently owning the implementation of new features and business requirements.

We offer:

• Attractive financial package

• Challenging projects

• Professional & career growth

• Great atmosphere in a friendly small team

• Flexible working hours

We are the creators of a new fintech era!

Our mission is to revolutionize the world by making blockchain technology accessible to everyone in everyday life. WhiteBIT is a global team of more than 1,500 professionals united by a shared vision of shaping the future.

We are building our own blockchain ecosystem to ensure maximum transparency and security for over 8 million users worldwide. Our cutting-edge solutions, rapid adaptation to market challenges, and technological excellence set us apart from traditional companies.

Our official partners include Juventus, FC Barcelona, Lifecell, FACEIT, and VISA.

Join us as a Head of Data Platform. 

Requirements:
Education & Experience:

— MSc in computer science, mathematics, statistics, physics or another quantitative field; PhD is a plus, not a requirement — research-grade methodology sits with the Quantitative Researcher

— 5+ years in data engineering / analytics, incl. lead / management experience; built a trading / financial data platform from zero at a crypto exchange, HFT / electronic-trading firm, market maker, or trading fintech. Bank / enterprise-DWH background alone does not qualify

— Personally carried production ownership of money data — trades, balances, positions, P&L — where a data error is a financial error

Core Technical Skills — data platform:

— Hands-on today: designs and ships pipelines personally — advanced SQL and Python; ClickHouse (or kdb+ / comparable columnar OLAP) in production

— Streaming and batch in one architecture: Kafka or equivalent, event feeds with second-grade freshness alongside hourly aggregates; trading-day logic — metrics counted within a trading day that starts and ends at a fixed morning hour, with an automatic daily reset

— Optimizes data footprint and computational overhead across every stage: selects the tech stack, partitioning logic, and execution flow based on cost-to-performance impact

— Data-correctness engineering: reconciliation, idempotent backfills, late / duplicate event handling, data-quality monitoring and lag alerting

— Vendor and API integration: institutional market-data providers (Kaiko / Amberdata class), exchange APIs, FX feeds; schema design and documentation others can build on

Core Technical Skills — analytics & applied math:

— Applied statistics at a working level: distributions, hypothesis tests and confidence intervals, correlation vs causation, time-series and aggregation pitfalls (session boundaries, survivorship, outliers) — enough to catch a methodological error in an analyst's query or notebook, and to have designed or reviewed metric / experiment methodology in past roles

— Metric and semantic design: one written definition per metric (P&L, uptime, spread, fill rate) enforced across every report; analytical data models (marts / star schemas) that make those definitions computable and cheap to query

— BI stack governance: Tableau / Grafana — performance, access control, versioned metric definitions; reviews dashboards for correctness rather than building them all himself

— ML literacy: understands when a model is — and is not — needed and can supervise applied work; research-grade modeling remains the Quantitative Researcher's mandate

Market & Domain Knowledge:

— Trading data from practice, not textbooks: maker/taker, fees and rebates, perpetual funding, realized / unrealized P&L, inventory and exposure, order-book depth and spread, slippage, quoting uptime

— Understands the consumers: how analysts, quants and desk heads use the data, and how market-quality / compliance metrics feed liquidity-provider terms

— Has built and run a mixed organisation of data engineers and analysts: separate hiring bars and growth tracks, peer review of queries and dashboards as a standard, methodology documented before a number ships

— Partners with quantitative research: turns the Researcher's methodology into production metrics and dashboards without distorting it; runs the sign-off process with quant and desk stakeholders

— Treats balances and client data as confidential by default: access control, least privilege, audit trail, no raw-data leaks

— Never ships silently wrong numbers: escalates early, cuts scope consciously, flags uncertainty in the data

Mindset & Soft Skills:

— Player-coach: the first months are personal hands-on delivery; scaling through the team runs in parallel, not instead

— Speaks business: reports status in money and deadlines; prioritizes by P&L impact — which dataset unblocks which decision; no jargon walls with management and stakeholders

— Owner of the direction's technical goals, not of a backlog: takes a business problem, decomposes it into tasks, executes and delegates

Responsibilities — Platform:

— Architect and ship the central data warehouse: every trade, position, balance and P&L across all trading services; an hourly contour for BI plus a real-time contour for monitoring; trading-day logic with automatic daily reset

— Build the data layers behind LP terms: market quality (spread, depth near mid price, fill rate, per-order slippage), quoting-uptime start/stop events per maker and pair, external tier-1 benchmarks and FX feeds for regional fiat pairs

— Close the data debt: gaps in realized-P&L coverage, history backfills, broken monitoring services — restore or replace

— Set and hold agreed data-freshness targets and pipeline-health alerting; own schemas and documentation

— Own analytics delivery end-to-end: the KPI rulebook published and signed, financial / attribution / historical-performance dashboards, compliance screens and provider scorecards

— Enforce a single semantic layer: one definition per metric across every report; methodology documented before a dashboard ships

— Quality gate: numbers are reviewed and challenged before they reach management; sign-offs from quant / desk collected per deliverable

Responsibilities:
— Hire leaders-first and onboard the technical team (~10 people: data engineering, analytics & BI, technical PM) per the approved hiring plan; hand tasks down without losing velocity

— Single interface to exchange tech (requirements, acceptance, freshness targets) and to analytics / quant stakeholders; run delivery in Jira against the approved one-year roadmap

— After the build: run the platform as a service to the direction — researcher-generated tasks, new metrics and pair groups, regular recalibration. 

Working terms

Immerse yourself in Crypto & Web3:

• Master cutting-edge technologies and become an expert in the most innovative industry.

Work with the Fintech of the Future:

• Develop your skills in digital finance and shape the global market.

Take Your Professionalism to the Next Level:

• Gain unique experience and be part of global transformations.

Drive Innovations:

• Influence the industry and contribute to groundbreaking solutions.

Join a Strong Team:

• Collaborate with top experts worldwide and grow alongside the best.

Work-Life Balance & Well-being:

• Modern equipment.
• Comfortable working conditions, and an inspiring environment to help you thrive.
• 22 business days of paid leave.
• Additional days off for national holidays.

About the role

Rozmova & Clearly is a mental health marketplace that connects clients with licensed therapists. You'll own how we talk to users after sign-up, across email and WhatsApp. The goal is a channel that grows revenue and retention, and feels like care, not pressure.

This is a senior, hands-on role. You'll work closely with product, engineering and analytics, and have real autonomy over what we send, when, and to whom.

    What you'll do

• Own CRM across email and WhatsApp: strategy, flows, contact policy and results.
• Build and improve lifecycle flows (onboarding, activation, reactivation, win-back) based on user behaviour and product signals.
• Own segmentation: know which user attributes and events we have, and work with product on what's missing.
• Set up and maintain channel integrations together with engineering.
• Run a regular testing cadence and measure impact in revenue and retention, not just opens and clicks.
• Build channel reporting and explain results simply to the team.
• Keep communication caring, private and on-brand: nothing in a subject line or preview should reveal that someone is in therapy.
  
  What you bring
• 4+ years in CRM / lifecycle / retention marketing in product companies, including 2+ years owning the channel end-to-end with a revenue KPI.
• Hands-on experience with Customer.io, Braze, Iterable or similar, including the data model, event-triggered campaigns and API/webhooks.
• Comfort with data: you build your own reports and know how to prove that a campaign actually worked.
• Solid deliverability and GDPR basics.
• Strong writing and an ethical, care-driven approach to retention.
  
  Who you are
• Owner: you finish what you start and take on areas nobody owns yet.
• Systems thinker: you design how the whole channel works, not just the next campaign.
• Clear communicator: you can explain complex logic simply.
  
  Nice to have
• WhatsApp Business API or push notifications.
• Experience in health, wellness or mental health products.
• SQL basics; Mixpanel, Looker or BigQuery.
• Working across two or more markets/languages.

KOFAX Agency is a full-service performance marketing agency specializing in Google Ads, Meta Ads, TikTok Ads, SEO, and web development.

Over the past five years, we’ve delivered 200+ projects for clients across the US, Canada, the UK, and the EU. As a certified Google Partner, we continue to expand our team and strengthen our international client portfolio.

We’re looking for an experienced Google Ads Shopping Expert with a strong focus on e-commerce, Standard Shopping, and Performance Max. We need an independent, results-driven specialist who can take full ownership of campaign performance, product feed optimization, and scaling - helping our clients grow revenue while maintaining profitability.

Who We’re Looking For

We’re looking for a proactive specialist with proven experience managing and scaling e-commerce advertising campaigns across international markets.

You have a strong command of Standard Shopping and Performance Max, understand how product feed quality impacts campaign performance, and can independently manage the entire process — from strategy development and Merchant Center management to optimization, troubleshooting, and scaling.

Hands-on experience with Shopify stores and international e-commerce businesses is essential.

Key Responsibilities

• Manage Google Shopping campaigns end to end, including strategy development, campaign structure, setup, optimization, performance analysis, and scaling across Standard Shopping and Performance Max.
• Take full ownership of Google Merchant Center and product feeds, including feed optimization, resolving product disapprovals, troubleshooting policy issues, and submitting appeals when necessary.
• Manage analytics and conversion tracking, working with GA4, Google Tag Manager, enhanced conversions, and server-side tracking where applicable.
• Scale advertising budgets sustainably, identifying growth opportunities while maintaining target ROAS and overall campaign efficiency.
• Analyze campaign performance and make data-driven decisions to improve revenue, profitability, and advertising efficiency.
• Monitor account health and campaign stability, proactively identifying issues and implementing solutions.
• Report on project performance, providing clear insights and recommendations. The Project Manager will support more complex client communication.

Requirements

• 2+ years of hands-on Google Ads experience, with a strong focus on Shopping and Performance Max campaigns.
• Confident experience managing both Standard Shopping and Performance Max.
• Proven experience working with Shopify e-commerce stores.
• Demonstrated success scaling e-commerce campaigns, supported by real case studies with measurable before-and-after results.
• Experience working with international markets, particularly the US and EU.
• Strong practical knowledge of Google Merchant Center and product feed management, including product disapprovals and troubleshooting.
• Experience with GA4 and Google Tag Manager, including conversion tracking and measurement.
• English proficiency at B2 level or above.

Nice to Have

• Experience with feed management tools such as DataFeedWatch or Channable.
• Experience managing large product catalogs with 1,000+ SKUs.
• Practical knowledge of server-side tracking and enhanced conversions.

What We Offer

• Remote work with a full-time commitment.
• A one-month probationary period with compensation of $500.
• Post-probation compensation of $800-$1,500 per month, depending on your expertise, level of responsibility, and the number of projects you manage.
• Collaboration with an Ads Team Lead who provides coordination and support.
• The opportunity to work with international e-commerce businesses, tackle performance-driven challenges, and contribute directly to measurable client growth.
• Opportunities for professional development and increased responsibility as our team and client portfolio grow.

How to Apply

Send us your CV and relevant case studies demonstrating your experience managing and scaling Standard Shopping and Performance Max campaigns.

We’re looking for a specialist who combines strong technical expertise with a commercial mindset and knows how to turn Google Shopping campaigns into a scalable source of profitable e-commerce growth.

If this sounds like you, we’d love to hear from you!

Insiders is a fast-growing IT company which employs about 200 people. Our company focused on providing innovative digital services and cutting-edge technologies to solve complex business challenges.

We are located in Lviv and currently work full-time in office. 

Responsibilities:

- Work with different source platforms such as LinkedIn/ Djinny/ Work.ua / Robota.ua ets.

- CV screening.

- Coordinate all interview stages.

- Support and consultation of the candidate at all stages of the hiring process.

We offer:

• Welcoming and amiable work environment in a comfortable office space.
• Official employment with a competitive salary that reflects your experience and skills.
• Growth opportunities.
• Opportunity to work in an IT company that is actively scaling.
• Team-buildings and corporate parties

Summary

• Senior Python Engineer for Pathfinder (strategic roadmapping & portfolio planning platform) at a travel agency.
• Focus: backend, data processing, APIs, performance & scalability. Ukraine, ФОП 3 група

About the Client & Project

We are partnering with a travel agency. You will join a cross-functional team building Pathfinder - a complex, data-heavy web application designed for strategic roadmapping and portfolio planning.

The focus of this role is backend engineering, data processing, APIs, performance, and scalability.

About the Role

As a Senior Python Engineer, you will become part of a mixed internal and client-side team that includes:

• Senior Python Engineer(s)
• Senior Full-Stack Engineer
• Senior JavaScript Engineer
• Senior AQA / Manual QA
• Senior DevOps
• Senior Product Designer
• Solution Architect

You will work closely with the Solution Architect and the rest of the team within a shared tech stack. The environment is lean, fast-moving, and start-up-like, with evolving requirements.

Key Responsibilities

• Design and develop robust, scalable backend services and APIs
• Build efficient solutions for large-scale data processing, transformation, and aggregation
• Implement appropriate caching, queuing, batch processing, and optimisation where needed
• Write clean, testable, and maintainable code with strong automated test coverage
• Investigate and resolve complex technical and performance issues
• Collaborate closely with Solution Architect, AQA, Manual QA, and Front-end developers
• Design solutions with performance, scalability, reliability, and maintainability in mind
• Make pragmatic technical decisions considering cost, performance, and development effort
• Challenge unnecessary complexity and deliver what is actually needed

Requirements

• Strong commercial experience with Python and modern Python frameworks
• Proven ability to design and develop robust, scalable backend services and APIs
• Experience building efficient large-scale data processing, transformation, and aggregation solutions
• Strong knowledge of SQL and relational databases (query optimisation and data modelling)
• Experience with REST APIs, service integration, and asynchronous / background processing
• Solid understanding of software architecture and engineering principles (beyond framework-level development)
• Ability to analyse technical problems and choose the most appropriate solution
• Comfort working with complex data models and business logic
• Strong focus on performance and efficiency, especially when processing large datasets
• Clear understanding of the trade-offs between simplicity, scalability, and maintainability

Note: AWS experience is not required.

Nice to Have

• Strong engineering fundamentals and a pragmatic, no-over-engineering mindset
• Ability to take ownership of technically challenging backend and data-processing problems and deliver robust, evolvable solutions

Engagement Details

• Location: Ukraine
• Contract type: ФОП 3 група (FOP 3rd group)
• Model: Direct Hire
• Duration: 4 months (November start - contract will not be prolonged)
• Start date: Beginning of November
• Working hours: European time zone

We’re looking for a Technical Support Engineer to join our remote team and ensure smooth operation of our applications during weekday night shifts.

Schedule: Monday–Friday, 00:00–08:00 (GMT+3) 

Location: Remote

What you’ll do

• Provide prompt, professional support via chat, email, and ticketing tools
• Monitor infrastructure & app health to ensure uptime and performance
• Troubleshoot bugs; escalate critical issues to the engineering team when needed
• Run routine checks on cloud services and resolve infra-level problems
• Log incidents, track resolutions, and evolve our internal knowledge base
• Partner with Engineering & QA for smooth handovers and clear communication

What we’re looking for: 

• Сonversational English level: at least Upper-Intermediate, and if it's higher, that's even better.
• 6+ months experience with Python & Django OR no commercial experience but:
  • Completed relevant courses/bootcamps (e.g., Python, Django, Databases, AWS)
  • Strong technical fundamentals (data types, HTTP, REST, git, basic Linux, debugging)
  • Hands-on projects (pet projects, labs, or internships) — GitHub links welcome
• Good knowledge of PostgreSQL (or another relational DB)
• Familiarity with AWS (EC2, S3) — basics are fine
• Solid analytical & debugging skills
• Basic understanding of REST APIs and front-end (HTML, CSS, JavaScript)
• Clear communicator; comfortable working independently and as part of a team

Nice to have

• Experience with Docker/Kubernetes and CI/CD pipelines
• Knowledge of web app security principles

• Background in Agile/Scrum environments

   

If you like staying ahead of problems and owning the night shift, we’d love to hear from you.