Jobs at Djinni

We’re hiring a User Acquisition Manager who knows how to grow web-to-app subscription funnels and scale performance across global markets. You’ll own paid acquisition on Meta end-to-end: from launch and iteration to budget expansion and stable ROI/ROAS growth. We’re looking for someone who thinks in hypotheses, numbers, and funnels — and improves results through constant testing.

What you’ll do

• Build, launch, and scale performance campaigns on Meta and Google

• Continuously optimize campaigns to improve ROI/ROAS and hit efficiency targets

• Own key performance metrics (CPA, spend, conversion rates, etc.) and drive them to plan

• Manage and redistribute budgets based on results and marginal returns

• Track performance via analytics tools and use insights to improve the acquisition strategy

• Run systematic A/B tests (audiences, creatives, landing flows, bidding, funnel steps)

• Stay on top of market trends, new ad formats, and competitor activity

• Work closely with the Marketing team and the co-founder on strategy and execution

•  propose ideas for new creatives, angles, and new growth hypotheses

What we expect (must-have)

• 3+ years in user acquisition/performance marketing for mobile or web products, ideally with subscription monetization

• Hands-on experience with web-to-app acquisition (quiz → subscription conversion → instal), this is required

• Proven track record of managing large budgets in Meta Ads (from $200k+) with measurable outcomes

• Strong understanding of performance metrics and unit economics: CPM, CTR, CPC, CVR/CR, CPA, ROAS, ROI, LTV, CAC, churn, retention — and how they connect to business results

• Experience with analytics and reporting tools such as Google Analytics, Amplitude, Tableau

• English Intermediate+ (written and spoken)

About the role: 

– Launch, manage and scale paid ad campaigns on Facebook/Instagram Ads and Google Ads 

– Run A/B tests on creatives, audiences, landing pages and offers 

– Analyze performance data daily — ROAS, CPA, CTR, CVR — and make data-based decisions 

– Work closely with the product  

– Optimize sales funnels: ad → prelanding → checkout 

– Scale winning campaigns across new GEOs and audiences 

– Monitor competitors and stay on top of trends in paid social 

Requirements: 

– 2+ years of  experience in media buying for e-commerce, ideally in dropshipping

– Proven track record of profitable campaigns on Facebook Ads and/or Google Ads

– Deep understanding of the full funnel: creative → ad → lander → offer → checkout

– Confident reading of analytics: Meta Ads Manager, Google Ads, GA4

– Experience with pixel setup, conversion tracking and attribution

– Ability to work independently and make decisions without micromanagement

– Familiarity with dropshipping product research and winning offer selection

– Experience with spy tools

Will be a plus:

• Experience with prelanding pages (advertorials, quiz funnels)

About the client: Canadian timezone

Our customer is the European online car market with over 30 million monthly users, with a market presence in 18 countries. As a Laed System Engineer/ Exchange Architect, you will play a pivotal role in shaping the future of online car markets and enhancing the user experience for millions of car buyers and sellers.

Project Overview

We require an experienced Microsoft Exchange consultant to lead and manage a production migration to:

• Microsoft Exchange Server Subscription Edition (Exchange SE)
• Windows Server 2022
• 2-node DAG deployment
• AWS-hosted infrastructure
• Edge Transport decommission
• Backup implementation (Veeam)
• Third-party integration validation

This is a business-critical migration affecting approximately 200 users.

Requirements

• EDT Timezone work hours 
• Minimum 5+ years of hands-on Microsoft Exchange experience
• Proven experience with Exchange 2019 / Exchange SE
• Experience deploying Exchange in AWS (EC2, EBS, networking)
• Strong experience with Database Availability Group (DAG) design and configuration
• Experience migrating production Exchange environments
• Windows Server 2022 experience
• Active Directory schema preparation and health validation
• Experience implementing Exchange-aware backup solutions (Veeam preferred)
• Log truncation configuration and validation
• Recovery Database (RDB) restore procedures
• Backup retention design and restore testing
• Edge Transport decommission experience
• IronPort or similar secure mail gateway integration
• SSL certificate configuration (SAN / Autodiscover)
• Experience validating Exchange transport agents
• Handling third-party application compatibility during upgrades
• At least upper-intermediate English level

 Responsibilities

• Review and validate the architecture design
• Prepare a detailed migration runbook
• Define rollback plan
• Implement Exchange SE deployment
• Configure DAG
• Oversee backup configuration
• Validate the restore procedure
• Lead production cutover
• Provide post-migration stabilization support
• Migration plan document
• Backup & restore validation documentation
• Rollback procedure
• Post-migration health report
• Knowledge transfer session
• On-call support during cutover window

Nice-to-Have Certifications

• Microsoft Certified: Messaging Administrator
• Microsoft Certified: Windows Server Hybrid Administrator
• Veeam Certified Engineer (VMCE)

Gainway is looking for a creative Motion Designer to help produce effective video creatives for advertising campaigns.

Responsibilities:

- Create video creatives for ads (Reels, short-form videos)

- Work with existing content and adapt it for new tasks

- Generate videos using AI tools

- Edit videos, create GIF animations, and basic graphic design

- Analyze advertising trends and improve the approach to creatives
 

Requirements:

- Motion Designer with at least 1 year of experience

- Skilled in Adobe After Effects, Premiere Pro, Illustrator, and Photoshop

- Experience using AI in video creation (Higgsfield, Runway, etc.)

What the company offers:

- Competitive salary (negotiable individually)

- Fully remote work

- A supportive team that gives space for ideas

- Opportunity for long-term growth in the digital environment

 

Location - Poland

Hybrid form (office in Warsaw) is a must-have.

Tinder is the world’s leading dating application that redefined how people meet online. Built on a simple yet powerful “swipe” mechanic, it empowers users to discover potential matches nearby and start meaningful conversations instantly. By blending geolocation, intuitive design, and personalization through smart algorithms, Tinder revolutionized modern dating by making introductions faster, more casual, and accessible to millions globally.

The platform isn’t just about dating - it’s about sparking connections. From friendships and networking to relationships, Tinder has created a cultural shift in how people approach meeting new individuals, making it one of the most recognizable consumer apps worldwide.

Responsibilities:

• Own end-to-end QA within a sprint: create test strategies/plans, define scope & priority, estimate effort, track progress, unblock issues, and ensure on-time, high-quality releases.
• Plan and execute test cycles across feature, integration, regression, and release certification (TestFlight/Internal App Sharing/production).
• Author clear, reproducible defects with videos, logs, and device metadata; drive root cause and follow-through to resolution.
• Partner with developers & PMs to clarify requirements/acceptance criteria, risks, and success metrics.
• Network-aware testing (airplane mode, 2G/3G throttling, packet loss) using proxies and emulator/simulator tools.
• API validation for mobile backends (manual REST verification, contracts, edge cases).
• Data/analytics validation (events, funnels, attribution) against tracking specs.
• Release readiness: build verification, smoke suites, sanity checks; participate in bug triage, go/no-go, and post-mortems.
• Automation-aware: convert high-priority manual scenarios into actionable automation tickets; collaborate with SDETs on monthly audits and coverage plans.
• Lead release-team testathons for major feature launches: plan charters, coordinate cross-functional participants, track findings, and publish results.
• Work closely with the automation team on weekly release regression cycles: align scope, review flaky tests, and prioritize automation candidates from recent escapes.
• Hands-on memory profiling using Xcode Instruments and Android Studio Profiler; detect leaks/retention, analyze heap/allocations, and file actionable performance bugs with traces.
• Be metrics-oriented and deliver weekly Quality Release Reports to the Release Manager (coverage & pass rate, defect density/age/SLA, crash-free users, ANR rate, cold-start time, flakiness, known risks).

Skills Required:

Must-Have Qualifications

• 2+ years of hands-on QA for iOS and Android consumer apps (feature, integration, regression, release testing).
• Strong understanding of SDLC and mobile release trains (feature flags, build types, staged rollouts, crash & analytics tooling).
• Clear, proactive communication—align with developers and product on requirements, test plans, and test strategies without supervision.
• Proven end-to-end ownership of sprint QA (scope/priorities, daily progress, blockers, timely sign-off).
• Testing on real devices and emulators/simulators; coverage across OS versions, screen sizes, locales, accessibility setups.
• Tooling: Xcode (logs, profiling), Android Studio/ADB, Charles Proxy or Fiddler, Jira, Qase | AI-powered Test Management Software for Quality Assurance .
• Manual REST API testing (Postman/Insomnia) and solid grasp of client–server interactions (headers, auth, caching).
• Excellent written/spoken English, crisp test docs and defect reports.

Nice to Have:

• Accessibility testing to WCAG 2.1 AA (VoiceOver/TalkBack, color/contrast, semantics).
• Experience with IAP/subscriptions, push notifications, deep links, geo features.
• Familiarity with crash/analytics stacks (Firebase, Datadog, Amplitude, Mixpanel, Sentry, Crashlytics).
• Exposure to mobile automation (XCUITest/Espresso/Maestro) and creating high-value automation backlog.
• Client-side performance profiling (startup time, memory, jank) and battery/network sensitivity checks.

We are an IT outsourcing/outstaffing company specializing in developing AI and web3 technologies. We provide a complete development cycle, from UI/UX design to product launch. Founded in 2017, we currently have over 80 team members. Our flexible approach to remote work was adopted even before it became mainstream during the pandemic. Our project teams operate in Europe and Ukraine

Requirements:
— 0.5-1.5+ years of commercial experience in project management in an IT outsourcing company
— English Upper-Intermediate level or higher, both verbal and written
— Good understanding of project management methodologies (Waterfall, Kanban, Scrum)
— Excellent communication and stakeholder management skills
— Basic understanding of the SDLC
— Experience with project management tools: Jira, Trello, Asana, Slack, etc
— Good organization skills, self-motivation, and a feeling of responsibility

Nice to have:
— Technical background (developer, QA)
— Basic knowledge of software architecture

Responsibilities:
— Lead software development projects from planning to delivery, ensuring high-quality outcomes
— Manage multiple stakeholders using various tools and techniques, monitor and increase client satisfaction
— Project ownership in all aspects (budget, scope, schedule, quality, etc.)
— Forecast, track, and manage project budgets, ensure timely invoicing
— Identify, mitigate, and communicate project risks and blockers, escalate issues proactively when needed
— Prepare and maintain project documentation, status reports, and metrics tracking
— Report on project progress, deliverables, and key outcomes to stakeholders
— Manage several projects simultaneously

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities.

 You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.
• Proactively identify high-impact opportunities where AI can generate measurable business value.

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

💼 About the Role:
We are looking for a proactive and detail-oriented Project Manager with 2+ years of experience in modern project environments. The ideal candidate is not just a process facilitator but a passionate owner of documentation quality, AI-assisted workflows, and digital systems. You will play a key role in organizing, structuring, and driving projects forward, ensuring operational excellence and effective stakeholder communication.
 
🎯 Key Responsibilities:
 

• Manage full-cycle projects — from ideation to successful delivery.
• Maintain project documentation using Confluence, Notion, or similar tools.
• Build and track project timelines and boards using JIRA or equivalent tools.
• Implement and promote the use of AI tools (ChatGPT, Notion AI, Copilot) for content generation, research, and document structuring.
• Organize and structure internal documentation, knowledge bases, and working spaces.
• Create clean, visually appealing presentations, dashboards, and internal reports.
• Communicate project progress clearly to internal and external stakeholders.
• Collaborate cross-functionally with tech, design, operations, and business teams.
• Constantly improve project management practices, bringing bold and smart ideas.
   

🧠 Requirements:
 

• 2+ years in a project management or operations coordination role.
• Proven experience with JIRA, Confluence (or Notion), Google Workspace.
• Strong document writing and visual presentation skills.
• High proficiency in English (B2+/C1) — written and verbal.
• Excellent time and task management, attention to detail.
• Experience with or openness to using AI in daily workflows.
• Strong problem-solving and analytical thinking.
• Ability to work under pressure, multitask, and meet deadlines.
• Proactivity, curiosity, and professional maturity.
   

➕ Nice to Have:
 

• Background as a personal assistant or project coordinator.
• Background in e-com or logistic.
• Visual/design tools like Figma or Canva.
• Passion for tech, documentation culture, and continuous learning.

 
We Offer:
• Company-provided equipment.
• Free English language training with native speakers.
• Paid vacation and sick leave.
• Medical insurance, including family coverage.
• Participation in industry conferences and exhibitions.
• Company support during significant life events.

We are looking for an ambitious and motivated specialist to join Grodas Group as a Lead Generation Specialist with 2 years of experience.This role offers professional growth in international IT sales, working with modern tools to generate and qualify leads. Previous experience in research, communication, or sales is a plus - strong motivation and willingness to learn are a must.

Requirements:

- 2 years of experience in a similar position;
- English Proficiency: B1-B2;
- Strong Analytical skills;
- Positive attitude and passion on achieving results.

Responsibilities:

- Manage and optimize Upwork activities;
- Build and maintain outreach databases on LinkedIn;
- Launch and manage LinkedIn outreach campaigns (manual and automated: Sales Navigator and Linked Helper 2;
- Research and support LinkedIn campaigns for on-site meetings in the USA and Canada;
- Qualify leads and schedule meetings with potential clients;
- Maintain reports in Google Sheets and Jira;
- Create and update marketing materials;
- Work with the CRM system Hubspot;

What we offer:

- 100% remote work from anywhere.
- Opportunity for growth. After the trial period, we will be happy to reimburse you for the cost of additional professional training, and you will also have an excellent opportunity to grow to the position of sales manager.

- Freedom. Share your craziest ideas – we’ll do our best to help you make them real;

This job could be yours! Contact us if you're interested. Open to working together!:)

We are seeking a Senior AI Engineer to join our engineering team and lead the effort in modernizing our e-commerce platform with AI capabilities. You will be responsible for the architecture, development, and integration of advanced AI systems, including Retrieval-Augmented Generation (RAG) pipelines, autonomous agents, and fine-tuned language models, within a mature, enterprise-grade .NET environment. Besides hands-on engineering, you will influence technical direction, mentor fellow engineers, and play a key role in shaping our long-term AI strategy.

Key Responsibilities

• Lead the design and implementation of production-grade RAG architectures that connect large language models to proprietary product, customer, and operational data.
• Architect and build AI agent systems that automate complex e-commerce workflows, including customer support, merchandising, and order management.
• Drive the strategy and execution of fine-tuning foundation models on domain-specific datasets to enhance relevance, accuracy, and business alignment.
• Evaluate, select, and integrate third-party AI services and APIs (e.g., OpenAI, Anthropic, Amazon Bedrock) into existing .NET applications and microservices.
• Define and promote best practices for prompt engineering, evaluation frameworks, model versioning, and responsible AI use across the engineering organization.
• Collaborate closely with backend, frontend, data engineering, and product teams to deliver end-to-end AI features within the current platform architecture.
• Own the performance, reliability, cost optimization, and observability of AI systems in production.
• Mentor mid-level and junior engineers, conduct code reviews, and raise the technical standard of the team.

• Proactively identify high-impact opportunities where AI can generate measurable business value.

   

What we are looking for:

• 7+ years of professional software engineering experience, including at least 3 years focused on machine learning or AI engineering.
• Extensive hands-on experience developing LLM-based applications, such as RAG, agent frameworks, and model fine-tuning in production environments.
• Strong proficiency in C# / .NET with proven experience managing enterprise-scale .NET codebases.
• Solid knowledge of Python for ML experimentation, training pipelines, and prototyping.
• Experience working with vector databases (e.g., Qdrant, Weaviate, Milvus, Amazon OpenSearch, Pinecone) in production.
• Proficiency with orchestration frameworks like Semantic Kernel, LangChain, or AutoGen.
• Strong understanding of RESTful APIs, microservices architecture, and distributed systems on AWS.
• Proven ability to make architectural decisions and communicate technical trade-offs to both engineering and non-technical stakeholders.
• Track record of leading complex technical initiatives from design to production deployment.
• Strong analytical skills and the ability to translate ambiguous business problems into clear, well-defined AI solutions.

Nice to have:

• Experience in the e-commerce domain (catalog, search, recommendations, personalization, customer service).
• Hands-on experience with MLOps practices, including model deployment, monitoring, A/B testing, and CI/CD for ML pipelines.
• Familiarity with AWS AI and ML services such as Amazon Bedrock, Amazon SageMaker, Amazon Comprehend, and Amazon Kendra.
• Practical experience working with AWS infrastructure services like Lambda, ECS, Step Functions, and S3 in AI workloads.
• Knowledge of embedding models, re-ranking strategies, and semantic search optimization at scale.
• Experience with platform modernization or large-scale migration projects in enterprise environments.
• Experience mentoring engineers or leading technical guilds and working groups.
• Contributions to open-source AI/ML projects or published research.

Why join Empeek?

• A high-impact role leading AI transformation within an established enterprise platform.
• A collaborative, experienced engineering team with a strong focus on modernization.
• Significant autonomy and influence over technical direction.
• Access to cutting-edge tools, models, and cloud infrastructure.
• Competitive compensation package (discussed during the interview process).
• Opportunities for professional development and continuous learning.

What we offer:

• Access to internal and external training, certification reimbursement;
• 18 working days of paid vacation, 10 compensated public holidays, and up to 10 paid sick days;
• Up to $300/year for English classes + a free speaking club;
• Up to $180/year for sports activities;
• A strong culture of knowledge sharing with senior experts you can really learn from;
• New equipment provision, and accounting support if needed;
• Competitive market-level salary with regular performance and salary reviews;
• Extra perks such as an insurance fund, seasonal gifts, celebrations, and additional team compensations;
• A psychologically safe and supportive environment;
• Active social responsibility and continuous support for the Armed Forces.

If you believe this role could be a great match for you, please send us your resume via the link — we’ll be happy to get in touch with you.

You’re also welcome to recommend colleagues or friends — we offer a referral bonus 🎁.

About The Role

As a Senior/Lead Software Engineer in our Machine Learning department, you will take ownership of high-impact initiatives that drive product quality, monetization, and user experience. You’ll apply your expertise in Python, data analysis, and modern AI tools to build, deploy, and optimize ML solutions end-to-end. This is a hands-on technical role that blends data science and engineering to deliver measurable business outcomes. You’ll collaborate closely with cross-functional stakeholders and contribute to evolving areas such as LLMs, Generative AI, and ML infrastructure. The role offers exposure to complex data challenges and the opportunity to shape Pearl’s AI-driven capabilities.

What You’ll Do

• Build, train, and deploy ML models that improve product performance and monetization.
• Collaborate with data, product, and engineering teams across multiple internal initiatives.
• Design and implement data pipelines for extraction, transformation, and analysis.
• Apply statistical and machine learning techniques to real-world business problems.
• Work on projects involving LLMs and Generative AI technologies.
• Analyze large datasets to identify trends, insights, and optimization opportunities.
• Integrate ML models into production systems and monitor their performance.
• Communicate findings and recommendations clearly to technical and non-technical stakeholders.
• Experiment with emerging AI tools and methodologies to enhance existing workflows.
• Ensure data quality, reliability, and scalability in all deliverables.

What We’re Looking For

• 3+ years of hands-on experience in ML Engineering or Data Science.
• 5-6+ years total experience in software or data engineering.
• Strong programming skills in Python.
• Proficiency in SQL for data querying and analysis.
• Solid understanding of data processing, analysis, and visualization.
• Experience with LLMs / Generative AI tools (e.g., OpenAI, Copilot, Cursor).
• Ability to build and deploy ML models end-to-end.
• Strong analytical and problem-solving mindset.
• Experience with .NET for integration work
• Upper-intermediate English proficiency (B2 or higher).
• Familiarity with Databricks or similar data platforms (nice-to-have).
• Exposure to AWS or other cloud-based ML environments (nice-to-have).

Why Join Us?

• High-Impact Data — Work with vast datasets generated by over a million daily visits, uncovering valuable insights.
• Collaborative Analytics Team — Join a team of 30+ skilled analysts who actively share knowledge and support each other.
• Cutting-Edge Tools & Techniques — Get hands-on experience with ML, Bayesian methods, and LLMs to solve real business challenges.
• Data-Driven Culture — Thrive in an environment where data informs every decision and drives continuous improvement.

About the Role

As a Senior Business Systems Analyst, you will play a key role in defining requirements and shaping the AI-driven future of Pearl’s Analytics and Experimentation platforms. You will work closely with Analytics, Machine Learning, and cross-functional Engineering teams to ensure our data and experimentation platforms are high-quality, AI-enabled, and lean.

This role is critical for driving the adoption of AI tooling, improving experiment workflows, supporting data platform enhancements, and ensuring data quality and regulatory compliance across systems.

 

What You’ll Do

AI Analytics Tooling (30%)

• Evaluate and pilot AI tools (e.g., ADI Bot, Databricks Agents) and design future enhancements.
• Define adoption metrics and collect user feedback.
• Create enablement materials and promote AI-driven workflow improvements.

Experimentation Platform Support & Optimization (25%)

• Support A/B testing frameworks and validate experiment configurations.
• Partner with Analytics, Engineering, and Machine Learning to improve experimentation workflows.
• Recommend tooling enhancements and streamline experiment lifecycle processes.

Data Platform Analysis & Metadata Governance (25%)

• Evaluate and design enhancements for current data platform offerings (Google Analytics, Internal Data, PostHog).
• Promote adoption of OpenMetadata and improve metadata coverage.
• Design and track AI readiness through documentation scores, dataset lineage, and other readiness metrics.
• Work with platform teams to enforce data standards and governance.

Data Quality Support (10%)

• Review data quality audits and communicate results across teams.
• Maintain data health scorecards and identify recurring issues.
• Collaborate with engineering teams to prioritize and resolve data quality issues.

Regulatory Compliance & Requirements Management (10%)

• Translate regulatory obligations (GDPR, CCPA, etc.) into system requirements.
• Work with Legal, Security, and Data Engineering on compliance controls.
• Document workflows, maintain audit artifacts, and support periodic reviews.
  
   

What We’re Looking For

• 5+ years of experience in Business Systems Analysis and/or database analysis, including end-to-end business requirements identification and gathering.
• Ability to query, analyze, and troubleshoot datasets using SQL.
• Experience with agile software development.
• Hands-on use of AI tools within analytics or data engineering workflows.
• Basic experience with a modern software development language (Python, C#, Java, TypeScript/JavaScript).
• Strong knowledge of Experimentation methodology/platforms
• Understanding of documentation standards, lineage, data quality audits, and governance processes.
• Сonceptual thinking, analytical, and problem-solving skills.
• Strong communication skills with proven experience collaborating cross-functionally with engineers, product managers, and analytics teams.
• Desire and ability to lead, advocate for features, and make data-driven recommendations.
• Ability to thrive in a fast-paced environment and meet aggressive deadlines while managing multiple projects.
• English proficiency (at least strong upper-intermediate level).

We are looking for an experienced Media Buyer to work with the Gambling vertical Tier1. You will be responsible for launching, optimizing, and scaling advertising campaigns across multiple traffic sources.

Traffic Sources

• Facebook Ads
• TikTok Ads

Responsibilities

• Launch and manage gambling campaigns across FB, TikTok sources
• Optimize campaigns to achieve stable ROI and profit growth
• Test creatives, funnels, approaches, and Tier1 GEOs
• Scale profitable campaigns and manage budgets
• Analyze performance metrics and make data-driven decisions
• Work closely with the team to improve overall results
• Follow internal processes and reporting standards

Requirements

• Proven experience as a Media Buyer in the Gambling vertical
• Hands-on experience with Facebook Ads, TikTok Ads traffic
• Strong understanding of performance marketing and analytics
• Ability to work independently and take full ownership of campaigns
• Result-oriented mindset and readiness to work with profit-based KPIs
• Experience with trackers, analytics tools, and anti-detect browsers is a plus

Compensation

Profit-based commission model:

• $0 – $10,000 → 15%
• $10,000 – $15,000 → 20%
• $15,000 – $25,000 → 25%
• $25,000+ → 40%

What We Offer

• Fully remote work format
• Flexible and fast-paced environment
• Opportunity to work with scalable budgets and strong offers
• Transparent commission system
• Long-term cooperation and growth opportunities to Team Lead

If you have solid experience in gambling and are ready to scale profitably — we’d be happy to connect

We are looking for an experienced Financial Planning & Reporting Manager  to take ownership of the company’s strategic and operational financial management. In this role, you will lead budgeting, forecasting, and long-term financial planning, ensure accuracy and timeliness of financial information, and support key management decision-making.

Key Responsibilities:

• Lead and manage budgeting, forecasting, and long-term financial planning;
• Develop, maintain, and validate financial models and scenarios;
• Prepare and deliver regular management and performance reports;
• Ensure accuracy, integrity, and timeliness of financial information;
• Define, monitor, and analyze key financial and operational KPIs;
• Perform variance, profitability, and cost structure analysis;
• Provide financial support for strategic and operational decision-making;
• Coordinate planning and reporting inputs across business units;
• Establish and maintain financial planning, reporting, and control standards;
• Manage cash flow forecasting and liquidity planning;
• Oversee revenue, cost, and workforce financial projections;
• Support regulatory, audit, and stakeholder reporting requirements;
• Collaborate with Accounting, Compliance, and Operations functions;
  Drive automation, optimization, and continuous improvement of FP&R processes;
• Maintain documentation of methodologies, assumptions, and models;
• Identify financial risks and support mitigation planning;
• Perform ad hoc financial analysis upon management request;
• Ensure alignment of financial plans with corporate strategy;
  Support implementation and development of financial and BI systems.

Required Qualifications:

• 6+ years in Financial Planning & Analysis (FP&A) / corporate finance / transaction-heavy environments;
• Experience in fintech, payments, banking, crypto, or high-growth tech strongly preferred;
• Advanced financial modelling skills (3-statement models, scenario analysis, unit economics);
• Strong Power BI and Power Query skills (data modelling, DAX, ETL logic);
• Experience working with large datasets and integrating multiple data sources;
• Solid accounting understanding (ability to reconcile management and statutory views);
• Experience running budgeting cycles and management reporting independently;
• Ability to communicate financial insights to non-finance stakeholders;

• High level of ownership and ability to operate with minimal supervision.

   

  We Offer:

• A role in a fast-growing, tech-driven fintech company
• Competitive salary and flexible remote working format
• A team of professionals with international experience
• 20 working days of paid vacation, plus 10 paid sick leave days/days off + 8 paid public holidays per year
• A friendly and supportive team atmosphere
• Opportunities for career growth and strong professional development

What Do We Do?

Madgicx is transforming how eCommerce brands scale their digital advertising through AI-powered automation and intelligent optimization. Our platform empowers thousands of brands to make smarter marketing decisions, automate complex workflows, and achieve unprecedented ROAS. We’re building the future of autonomous advertising, where AI and human creativity combine to unlock exponential growth.

Why Madgicx Needs You

As a Backend Engineer at Madgicx, you are responsible for building and maintaining the core APIs and services that power our AI-driven advertising platform. You will design resilient, high-performance backend systems that handle millions of advertising operations daily, integrate with multiple advertising platforms, and serve as the foundation for our AI agent ecosystem.

This is a hands-on engineering role where you’ll ship production code daily, collaborate closely with AI/ML teams, and directly impact thousands of brands’ advertising performance.

What You’ll Own

1. Core API Development

• Build and maintain RESTful APIs serving web, mobile, and AI agent clients
• Design database schemas and optimize query performance for high-traffic endpoints
• Implement authentication, authorization, and rate limiting for secure API access
• Write comprehensive tests (unit, integration, E2E) ensuring code quality and reliability

2. Service Integration & Data Pipelines

• Integrate with advertising platform APIs (Meta Marketing API, Google Ads API, TikTok Ads)
• Build data ingestion pipelines processing campaign metrics, creative performance, and audience insights
• Handle webhook processing, event streaming, and asynchronous job processing
• Implement retry logic, circuit breakers, and graceful degradation for external service failures

3. AI-Ready Infrastructure

• Build backend services that support AI agent workflows and LLM integrations
• Design APIs that enable AI agents to query data, execute actions, and receive feedback
• Implement observability hooks (tracing, logging, metrics) for AI system monitoring
• Collaborate with Data Science teams to productionize ML models and predictions

4. Performance & Scalability

• Optimize API response times (P95 <500ms) and database query performance
• Implement caching strategies (Redis, CDN) for high-traffic endpoints
• Design for horizontal scalability using containerization and orchestration
• Monitor system health, troubleshoot production issues, and participate in on-call rotation

5. Code Quality & Collaboration

• Write clean, well-documented, and maintainable Python code following team standards
• Conduct thorough code reviews providing constructive feedback to peers
• Participate in pair programming sessions and knowledge-sharing activities
• Contribute to technical documentation, runbooks, and architectural decision records

What You’ll Bring

Required

• Bachelor’s degree in Computer Science, Software Engineering, or equivalent experience
• 5+ years of production backend development with demonstrable impact on system reliability and performance
• Python expertise: Strong proficiency in Python web frameworks (FastAPI, Flask, Django) and async programming
• API design: Experience building RESTful APIs with proper versioning, error handling, and documentation (OpenAPI/Swagger)
• Database proficiency: SQL expertise (PostgreSQL, MySQL) including schema design, indexing, and query optimization
• Cloud infrastructure: Hands-on experience with Google Cloud Platform (preferred) or AWS/Azure
• GenAI & Agentic Framework familiarity: Practical experience using GenAI tools (GitHub Copilot, ChatGPT, Claude) for development, understanding of LLM capabilities/limitations, worked on setting up agentic toolings such as RAG, Guardrails, Feedback loops, planning, MCP’s and orchestration tools etc...
• Containerization: Production experience with Docker and Kubernetes for service deployment

Non-Negotiable Technical Skills

Backend Core
Python Web Frameworks (FastAPI, Flask, or Django with async capabilities), SQL Database Design (PostgreSQL schema design, indexing strategies, query optimization), and API Architecture (RESTful design, authentication/authorization, rate limiting, error handling)

Cloud & Infrastructure
Google Cloud Platform (Compute Engine, Cloud Run, Cloud SQL, Pub/Sub, Secret Manager, IAM), Container Orchestration (Docker containerization, Kubernetes deployments, service configuration), and Infrastructure as Code (Terraform or equivalent for reproducible deployments)

Integration & Data
Third-Party API Integration (OAuth flows, webhook processing, rate limit handling, retry logic), Message Queuing (Pub/Sub, RabbitMQ, or Kafka for async processing), and Caching Strategies (Redis for session management, query results, and rate limiting)

GenAI & Observability
GenAI Tool Proficiency (Active use of GitHub Copilot, ChatGPT, or Claude for code generation, debugging, and documentation), LLM Integration Basics (Understanding of API usage, token management, prompt engineering, etc... ), and Observability (Structured logging, distributed tracing, metrics collection, and alerting)

Our Operating Principles

• Ship Code, Not Slides: We measure success by features in production, not meeting decks
• Engineering Excellence: Clean code, tested systems, thorough documentation, and scalable architectures
• Speed to Production: From feature branch to deployment in days, not weeks

• Data-Driven Decisions: We trust metrics, experiments, and user feedback over opinions

   

Continuous Learning: Every production incident and performance issue teaches us something new

What Success Looks Like (First 12 Months)

• Shipping velocity: Consistently deliver features from design to production within sprint cycles
• System reliability: Maintain <0.1% API error rate and P95 response times under target SLAs
• Code quality: Your PRs require minimal revisions and serve as examples for junior engineers
• AI readiness: Backend services seamlessly support AI agent integrations and ML model deployments
• Team impact: Improve developer productivity through better tooling, documentation, or architectural patterns

What’s In It For You

• Impact: Your APIs power advertising decisions affecting billions in ad spend across thousands of brands
• Technical Growth: Work with cutting-edge AI/ML systems, high-traffic APIs, and modern cloud infrastructure
• Ownership: Full responsibility for services from design through production operation
• Learning Budget: Conferences, courses, certifications, and dedicated learning time
• Compensation: Competitive salary, equity, performance bonuses, and comprehensive benefits
• Flexibility: Remote-first culture with flexible hours and work-life balance

Ready to Build the Future of Advertising AI? If you’re excited by the challenge of building ML systems that generate millions in revenue, we want to talk. Send us your GitHub, examples of production platforms you’ve built, and evidence of business impact you’ve driven. Show us why you’re the engineer who will help us revolutionize advertising through AI.