Jobs at Djinni

At A-Players, we’re looking for a Software Development Engineer in Test (SDET) to join our Billing Team — a team responsible for building and evolving our internal billing platform that sits at the core of the company’s financial operations.

You will take end-to-end ownership of quality in a technically complex, backend-heavy billing domain: from test strategy and automation to ensuring reliable, stable releases in a system that integrates with multiple internal and external services.

If you enjoy working close to the product and engineering, diving deep into complex domains, and building test systems that actually matter — this role is for you.

Responsibilities:

• Own and evolve QA processes within the Billing team
• Be responsible for the quality of billing-related functionality and integrations
• Design, develop, and maintain automated tests and test documentation (checklists, regression suites, test cases for automation)
• Increase transparency of QA processes and improve quality monitoring
• Identify bugs and risk areas early to improve overall system reliability
• Ensure high quality and stability of releases in a fast-moving environment

Why this role matters:

• You will work on a mission-critical financial product at the core of the company
• A large area of ownership and real impact — you will shape quality processes and automation, not just follow them
• A technically challenging domain that offers strong professional growth
• A strong engineering team and a culture of openness
• Fast decision-making and the ability to see the impact of your work quickly

What we look for:

• 3+ years of experience as an SDET / Automation Engineer / QA Engineer with a strong focus on coding in backend-oriented products
• Confident knowledge of PHP: writing automated tests, understanding backend code, and being able to work with existing codebases
• Experience designing, implementing, and maintaining automated test frameworks
• Strong understanding of test pyramid principles, testability, and maintainable test code
• Hands-on experience with API and integration test automation
• Confident work with REST APIs (Postman, Swagger, curl)
• Understanding of asynchronous processes, webhooks, and queues

Nice to have:

• Experience with financial, billing, or payment systems
• Experience testing payment orchestrators
• Knowledge of event-driven architectures
• Experience working with high-load / high-availability systems
• Understanding of 3D Secure, SCA, PSD2

Soft skills:

• Strong attention to detail and a structured approach to problem-solving
• Ability to work with uncertainty and dive deep into complex domain areas
• High level of ownership, autonomy, and responsibility
• Proactive mindset: ability to identify risks and raise them early

We offer:

• A supportive atmosphere — we’re all for creativity and providing opportunities for self-fulfillment
• Working on inspiring products in a team of supportive professionals
• A competitive salary package based on your unique expertise, skillset, and impact on the product
• Reimbursement of professional courses and trainings
• In-office, and hybrid/remote work opportunities
• Flexible working hours
• Professional equipment and access to the necessary programs
• Paid vacations, sick days, and other benefits
• Free lunches in the office
• A variety of corporate events and team-building activities

YozmaTech isn’t just another tech company – we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.

We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.

Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family – you’ll feel right at home with us.
 

Our client is an innovative product company developing a smart monitoring device that combines computer vision, machine learning, and advanced camera technologies. The product analyzes sleep patterns and provides data-driven insights, helping families improve daily routines. The company is a fast-growing VC-backed startup with a strong engineering culture and real-world products used globally.
 

Key Requirements:
🔹 4–8 years of experience in C/C++ for embedded systems;
🔹 Strong experience with Embedded Linux on ARM (Cortex-A);
🔹 Proven experience implementing and working with drivers;
🔹 Strong Rust proficiency;
🔹 Yocto familiarity — advantage;
🔹 Experience with Video4Linux, PulseAudio, systemd;
🔹 Experience working with interfaces:
🔹 I2C, SPI, UART, I2S;
🔹 Experience with Device Tree / OpenFirmware, IIO — advantage;
🔹 Strong debugging, cross-compilation, and toolchain knowledge;
🔹 Ability to read and work with existing codebases;
🔹 Experience with testing (unit, integration, E2E);
🔹 Strong Git skills and GitHub workflow experience;
🔹 English – Upper-Intermediate or higher.
 

Will be plus:
🔹 Networking: TCP/IP, application protocols, encryption;
🔹 BLE (GATT, Advertising, Bonding);
🔹 Wi-Fi protocols and security;
🔹 Video & audio streaming and transcoding;
🔹 (H264/H265, AAC, OPUS, WebRTC, FFmpeg/GStreamer);
🔹 Microcontrollers experience;
🔹 ESP32, FreeRTOS, lwIP, NimBLE — strong plus;
 

What you will do:
🔹 Develop firmware components in C and Rust: drivers, BSP, networking and multimedia applications;
🔹 Work independently and take ownership over specific features;
🔹 Analyze requirements and provide time/effort estimations;
🔹 Design features end-to-end (from idea to production);
🔹 Lead POCs and contribute to next-generation product development;
🔹 Collaborate with Product, Mobile, and Backend teams;
🔹 Participate in technical discussions and propose solutions;
🔹 Produce technical documentation and architecture diagrams;
🔹 Plan and own development tasks;
🔹 Lead cross-functional initiatives that impact Firmware, Mobile, and Backend;
 

Interview stages:
🔹 Initial HR interview;
🔹 Managerial interview;
🔹 Technical assignment & coding session;
🔹 Technical interview;
🔹 Final interview with VP of Engineering;
🔹 Reference Check;
🔹 Offer;
 

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products – and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark;
🔹 A chance to work in a fast-paced startup environment;
🔹 Opportunity to influence product direction and technology decisions;
 

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining – and how you can grow with us.
We typically process 2–3 candidates at a time to ensure a high-quality hiring experience.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are actively seeking a skilled Make.com/n8n Developer for a full-time or project-based cooperation (you decide).

Mission

Your mission is to design, build, and continuously improve the automation backbone of DOIT Software. You will transform Sales, Recruitment, HR, and Administrative workflows into scalable, reliable, and AI-powered systems.

Your work will directly enable our 2026 objective: Transform DOIT Software into an automation- and AI-powered company that scales efficiently, delivers predictable results, and outperforms traditional agencies in speed, quality, and cost.

We aim to run an agency where automation and AI handle repeatable work, so people focus on judgment, relationships, and quality. You will work closely with the Product Owner, CTO, and Heads of Departments to turn business processes into resilient, measurable, and self-improving automation systems.

Responsibilities

• Design, build, and maintain scalable multi-step automations using Make.com, n8n, or similar tools.
• Translate business processes into technical workflows with clear states, conditions, and error paths.
• Integrate APIs, webhooks, chatbots, LLMs, and third-party tools into end-to-end systems.
• Implement robust monitoring, logging, retry logic, and fallback strategies.
• Continuously optimize workflows to improve performance, reduce costs, and enhance reliability.
• Collaborate with Product Owner and department heads to:
  • Map processes
  • Define success metrics
  • Prioritize automation opportunities

Documentation 

• Well-commented workflows and nodes.
• High-level workflow overview with data flow diagram.
• Data and integrations overview.
• Operational runbook (monitoring, failure handling, recovery).
• Change log and versioned blueprint backups.

What You’ll Actually Build

In this role, you will design and operate real, production-grade automation systems, including:

• Data sourcing and scraping pipelines

Automating data extraction from platforms like LinkedIn and other public or internal sources, turning raw data into structured, outbound-ready datasets.

• Data enrichment and validation systems

Enriching people and company data via third-party tools and APIs, with deduplication, validation, and quality rules.

• AI-powered workflows

Prompt-driven automations for candidate grading, summaries, outreach personalization, and interview analysis.

• Automation-first system architecture

Designing databases, schemas, and states for automation-heavy processes, with modular and reusable workflows instead of one-off scenarios.

• End-to-end operational automations

Sales, recruitment, and internal processes run with minimal manual intervention, including error handling, retries, alerts, and recovery paths.

Competencies

Technical Competence

• 2+ years of experience in workflow automation using Make.com, n8n.
• Strong understanding of:
  • APIs
  • Webhooks
  • JSON format
  • Authentication flows
• Familiarity with Airtable or other database platforms 
• Experience with data enrichment tools such as PhantomBuster, Apify, Apollo.io, Hunter.io, Snov.io, Grinfi, etc.
• Hands-on experience with generative AI tools (e.g., ChatGPT, Claude, Perplexity, Gemini, prompt engineering).
• Proven experience creating scenarios for sales, business development, recruitment, or marketing
• Strong skills in algorithm design and scenario optimization
• Background in software development or Technical education
• JavaScript or Python for automation scripting is a strong plus.

This role is not about “connecting tools.” It is about engineering an operating system for a modern AI-driven company. You will shape how DOIT Software works at a fundamental level.

Meet the YozmaTech

YozmaTech isn’t just another tech company - we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster.
We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact.
Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family - you’ll feel right at home with us.

Our client's product is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes.
Solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Product automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have.
Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to lead a multidisciplinary R&D team and work on a cutting-edge SaaS product at scale.

Our client are looking for a Mid-level+ Automation Engineer with strong experience in desktop application test automation. You’ll design, build, and maintain automated testing frameworks to ensure the quality and reliability of our products. This role requires hands-on experience with .NET / C# and windows desktop automation tools.

Key Requirements:
🔹 3–5+ years of experience in automation engineering, strong proficiency in C# and .NET, proven hands‑on experience with desktop automation (must‑have) ;
🔹 Practical experience with Appium, WinAppDriver, Selenium; familiarity with additional UI automation frameworks such as Playwright;
🔹 Solid understanding of OOP, SOLID principles, and test design patterns; ability to write clean, maintainable, modular automation code;
🔹 Good understanding of REST API testing concepts and related tooling;
🔹 Knowledge of NUnit and experience working with modern UI automation frameworks (Selenium, Playwright, etc.);
🔹 Experience working in Agile environments, collaborating with cross‑functional teams, and contributing to continuous improvement;
🔹 Strong problem‑solving mindset, ownership attitude, high attention to detail, ability to work independently;
🔹 English - Upper-Intermediate or higher.

Will be plus:
🔹 Experience using NUnit for test automation;
🔹 Familiarity with modern UI automation frameworks such as Selenium or Playwright;
🔹 Background working in Agile environments, contributing to iterative development and continuous improvement;

What you will do:
🔹 Design, develop, and maintain automated test frameworks for desktop;
🔹 Applications;
🔹 Writing automated tests using C# / .NET;
🔹 Create and execute automated tests for UI and functional validation;
🔹 Work closely with devops, developers, QA, and product teams to improve product;
🔹 Quality;
🔹 Perform test analysis, debugging, and failure investigation;
🔹 Ensure code quality using OOP and SOLID principles;
🔹 Contribute to CI/CD test automation integration (GitHub Actions preferred);
🔹 Follow best practices for test structure, reliability, and maintainability;

Interview stages:
🔹 HR interview;
🔹 Tech interview with Team Lead;
🔹 Final interview (Tech & HR);
🔹 Reference check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products - and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.
From day one, you’ll get:
🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer.
You’ll always know what project you’re joining - and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

About Us
At Mamma Mia Covers LLC, we don’t just sell home products — we deliver comfort, style, and functionality to every interior. Since 2018, we’ve been building a next-generation home & living brand for the U.S. and Canadian markets as the #1 global distributor and top-priority partner of the Italian factory Paulato.

Our signature product — stretch-fit slipcovers — is protected by an international patent and offers a unique blend of design and innovation unmatched in the market.

Why We Stand Out

We’ve been recognized as one of the fastest-growing companies in the U.S. according to Inc. 5000 in 2023, and were nominated as: 

• Top 50 fastest-growing companies in the Consumer Products category in the U.S.
• Top 100 fastest-growing companies in Florida
• Ranked among the Top 1000 fastest-growing private companies in the US 

Each month, our team of 40+ professionals processes over 4,000 orders through platforms like Amazon, Shopify, and others, combining automation, data, and human creativity. We work remotely or in a hybrid environment, use smart tools (Asana, AI, ShipStation, etc.), and foster a transparent, empowering environment where growth and ownership go hand in hand.

Your Mission as a Sales Development Representative

To proactively identify and qualify U.S. B2B prospects, spark initial interest, and deliver a strong first impression that converts leads into high-intent opportunities for the sales team.

What We Offer

Financial Stability: Fixed ($1000-1500) + KPI-based bonus

• Compensation for accounting services (for contractors/PE)
• Paid a 2-month probation period

Flexible Work Format

• Remote or hybrid work
• Full-time role, adapted to your rhythm

Growth & Support

• Coverage of professional courses and certifications
• Access to educational resources
• Freedom to implement new tools and processes
• Career growth opportunities

Care & Comfort

• 21 days of paid vacation + birthday leave 
• Extra days off for important personal events
• Zero micromanagement — we trust responsible people
• We value ownership & initiative
• You’ll feel the support, not the pressure
   

What We Expect from You

• 1+ years of experience in a similar role (SDR, Lead Generation, Inside Sales, Customer Prospecting), within e-commerce or B2B retail.
• English — Upper-Intermediate or higher (confident business correspondence and phone communication).
• Experience working with CRM systems (HubSpot, Pipedrive, Zoho, etc.).
• Proven ability to build and segment lead databases using tools such as LinkedIn Sales Navigator, Apollo, ZoomInfo, Clutch, Google Search, etc.
• Basic call handling skills, including active listening and identifying customer pain points.

• Ability to write clear, engaging, and effective cold emails.

   

Your Responsibilities

• Research and build a database of potential clients in the B2B segment (segmentation, prioritization).
• Initial outreach via email campaigns, calls, LinkedIn, and other channels.
• Conduct qualification calls with potential clients.
• Identify client needs and accurately document information in the CRM.
• Schedule introductory meetings or product demos.
• Maintain up-to-date lead data in the CRM and keep lead reports current.

• Collaborate with the marketing and product teams to develop a strong value proposition.

   

Why Choose Us?
At Mamma Mia Covers, we create an environment where your skills can develop and bring real benefits to our clients. We value reliability and innovation, supporting each individual on their path to professional growth. If you resonate with our values of reliability and creativity and want to grow with us, we look forward to receiving your resume!

We are looking for a highly organized and detail-oriented Operations Manager Assistant to join our growing team. In this role, you’ll be responsible for ensuring smooth day-to-day operations, supporting management, and keeping internal processes efficient and compliant. 

🔑 What You’ll Do 

• Oversee and optimize administrative and operational processes 
• Manage document flow, reporting, and internal record-keeping 
• Support HR and finance teams with onboarding, payroll, and compliance tasks 
• Coordinate communication between departments and external partners 
• Monitor KPIs, prepare regular reports, and ensure timely task completion 
• Implement best practices to improve operational efficiency 

✅ About You 

• Desire to get experience in a back-office, operations, or administrative manager role 
• Strong organizational and multitasking skills 
• Excellent communication in English (written and verbal) 
• Proficiency in MS Office / Google Workspace (knowledge of ERP/CRM systems is a plus) 
• Understanding of HR, finance, or legal workflows will be an advantage 
• Proactive mindset with strong problem-solving skills  
• Degree in Economics or Statistics is a pus 

🎯 Why Join Us? 

• Competitive salary  
• Remote work  
• Flexible schedule  
• Career growth opportunities  
• Sport compensations  
• Supportive corporate culture 

LineUp is a fast-growing IT outsourcing company with 13 years of experience. We are currently looking for a Middle Fullstack Developer to join a long-term product project.

You will become part of the Smart City ecosystem - a large-scale software product for the Middle East market. This is a fully agile, product-oriented environment with real users and a tangible impact on urban infrastructure.

Key Responsibilities:

• Develop and maintain solutions using Node.js, NestJS, React, and Next.js.
• Build and manage microservices and monorepo environment architectures on the backend.
• Design, implement, and optimize database solutions using PostgreSQL (AWS RDS) and caching with Redis.
• Work with various AWS services including SQS, S3, Lambda, IAM, EC2, and EKS/ECS to build scalable and efficient cloud-based solutions.
• Contribute to containerization and deployment processes using Docker, including building images and pushing to registries, implementing and maintaining CI/CD pipelines using GitLab runners.
• Utilize state management tools like Zustand or similar, and integrate frontend applications with backend services using TanStack (React Query) or other data-fetching libraries.
• Ensure UI/UX consistency by leveraging component libraries such as PrimeReact or similar and building reusable components.
• Implement monitoring and observability for applications using Prometheus and Grafana to ensure system reliability and performance.
• Participate in the agile development process, contributing to scram events, fostering a collaborative and cross-functional team environment.

• Stay current with the latest technologies and best practices, and promote continuous learning and self-development within the team. Mentor other team members, providing guidance and sharing your knowledge.

   

Qualifications:

• Minimum of 3 years of experience in backend and frontend development with a strong focus on Node.js, NestJS, React, Next.js, and related technologies.
• Experience with microservices architectures and monorepo environments will be a plus.
• Proficiency in PostgreSQL (AWS RDS), Redis, and backend data management.
• Familiarity with AWS cloud services including SQS, S3, Lambda, IAM, EC2, and EKS/ECS.
• Understanding of Docker, CI/CD pipelines, and experience with GitLab runners.
• Experience with frontend state management libraries (e.g., Zustand) and data-fetching tools like TanStack (React Query).
• Familiarity with component libraries such as PrimeReact or similar, and a working knowledge of React hooks.
• Ability to document architectures, designs, and processes clearly.
• Excellent problem-solving skills and attention to detail, with a passion for creating high-quality, performant code.
• Ability to work effectively both independently and as part of a team in an agile environment.
• Good communication skills, with the ability to interact professionally with team members and stakeholders.

• English at Upper-Intermediate level and above.

   

What We Offer:

• Competitive salary.
• A collaborative and innovative work environment.
• Professional development opportunities.
• The chance to work on exciting and challenging projects.
• A supportive company culture.

Join us in delivering excellence through agility and innovation!

Meet the YozmaTech

YozmaTech isn’t just another tech company - we’re a global team of go-getters, innovators, and A-players helping startups and product companies scale smarter and faster. We build dedicated development teams across 10+ countries, creating strong, long-term partnerships based on trust, transparency, and real impact. Here, every idea counts. We value people who are proactive, open-minded, and ready to grow. If you’re passionate about building meaningful products and want to join a team that feels like family - you’ll feel right at home with us.

Our client's product is a cloud-based financial planning and analysis (FP&A) platform designed for SMBs, transforming manual monthly and quarterly reporting into automated, scalable processes.
Solution connects to organizational systems such as ERP, CRM, HRIS, and complex Excel files, consolidating all data into a single cloud-based database. Product automates critical financial transformations including FX conversions, eliminations, hierarchies, financial adjustments, and more while allowing end-users to continue working in Excel as they always have.
Serving primarily the US market, our client is experiencing strong and sustained growth. This is an exciting opportunity to lead a multidisciplinary R&D team and work on a cutting-edge SaaS product at scale.

Our technology teams are the engine of our business.
We maintain a dynamic startup culture that encourages innovation, ownership, and critical thinking. On our project, you’ll collaborate with a global team of engineers, architects, product managers, and customer-facing teams to shape the future of financial planning and analysis.

Key Requirements:

🔹 BSc in Computer Science or equivalent;
🔹 8+ years of software engineering experience, including 5+ years of Python in production;
🔹 3+ years in an R&D team lead, leading cross-functional teams (backend, frontend, and QA) in a production environment;
🔹 Proven experience managing and leading remote teams in a fully distributed, remote-only environment;
🔹 Proven experience working in a product-based company (not project/outsource);
🔹 Strong experience with Python backend development in a SaaS environment, including cloud-based, scalable, and high-availability distributed systems;
🔹 Strong knowledge of REST APIs, microservices, asynchronous programming, and testing;
🔹 Hands-on experience with CI/CD pipelines and Infrastructure-as-Code (e.g., Terraform, Helm);
🔹 Solid understanding of software architecture, design patterns, and technical trade-offs;
🔹 Proven ability to lead projects end-to-end, from requirements and design through development and production;
🔹 Excellent communication skills and high proficiency in English.


Technical Experience:

🔹 Python frameworks: Django, FastAPI;
🔹 Databases: PostgreSQL, MSSQL;
🔹 Messaging & async processing: Celery, RabbitMQ;
🔹 Caching & performance: Redis;​​​​​​​
🔹 Cloud platforms and services;
🔹 Familiarity with event-driven architectures and distributed systems;
🔹 Strong grasp of KISS, DRY, SOLID, OOP principles;​​​​​​​

Will be plus:

🔹 Experience with Azure cloud services;
🔹 Experience with Excel Add-ins or data-heavy applications;
🔹 Startup or high-growth SaaS company experience;​​​​​​​

What you will do:

🔹 Lead and manage a cross-functional R&D team of 5–7 engineers, including backend (Python), frontend (Angular), and QA engineers;
🔹 Own end-to-end product development, from initial requirements and design, through development, testing, deployment, and production monitoring & troubleshooting;
🔹 Provide hands-on technical leadership, including architecture design, coding when needed, and thorough code reviews;
🔹 Work closely with Product Managers and Architects to define scope, prioritize backlog, and deliver high-quality features;
🔹 Drive engineering best practices: clean code, testing, CI/CD, performance, reliability, and security;
🔹 Be accountable for team delivery, quality, velocity, and stability;
🔹 Define team goals, KPIs, and success metrics;
🔹 Mentor and develop team members, supporting their professional and technical growth;
🔹 Participate in hiring, onboarding, and training of new team members;
🔹 Actively monitor production systems, lead incident response, root-cause analysis, and continuous improvement.

Interview stages:

🔹 HR Interview;
🔹 Tech interview with Team Lead;
🔹 Interview with PM;
🔹 Interview with VP R&D (optional);
🔹 Reference check;
🔹 Offer.

Why Join Us?

At YozmaTech, we’re self-starters who grow together. Every day, we tackle real challenges for real products - and have fun doing it. We work globally, think entrepreneurially, and support each other like family. We invest in your growth and care about your voice. With us, you’ll always know what you’re working on and why it matters.

From day one, you’ll get:

🔹 Direct access to clients and meaningful products;
🔹 Flexibility to work remotely or from our offices;
🔹 A-team colleagues and a zero-bureaucracy culture;
🔹 Opportunities to grow, lead, and make your mark.

After you apply

We’ll keep it respectful, clear, and personal from start to offer. You’ll always know what project you’re joining - and how you can grow with us.

Everyone’s welcome

Diversity makes us better. We create a space where you can thrive as you are.

Ready to build something meaningful?

Let’s talk. Your next big adventure might just start here.

We are looking for an AI-First Golang Developer. We don’t need coders, we need Golang backend engineers who build features end-to-end using Claude Code.

Details:

• AI coding experience (mandatory!): experience with Claude Code — #1 priority, or other agentic coding tools. Claude Code is what is used on the project
• Senior Golang Developer, 5+ years of experience, can potentially consider really strong candidates with 4 years of experience
• Strong proficiency in English (Upper-intermediate level or Advanced)
• Full-time
• Fully remote
• Start: ASAP, ideally, or can be discussed. 1 month’s notice will not work.

What you’ll actually do:

• Own features end-to-end: from specs to deployment to fixing bugs
• Use Claude Code to generate Golang backend code
• Review AI output for quality and architectural fit
• Fix bugs to learn our codebase, then rapidly build new features
• Make quick decisions on what to build vs buy vs generate with AI
• Talk to customers when they report issues and ship fixes same day

Our stack:

• Backend: Golang monorepo
• AI: Claude Code (mandatory), other agentic coding tools

Products you will build:

• API: platform features, tooling, multi-agent system, etc.

You must have:

• Ownership mentality with a strive for elegantly simple, high-quality solutions
• Strive for max quality — you test your own work thoroughly since we have no QA team, everything you ship MUST work
• Product mindset — you care about WHY we’re building something
• Proven experience using Claude Code or similar agentic AI (Cursor, Windsurf)
• Strong Golang experience — you’ll review AI’s code in these, and you must understand how it works
• Broad architectural knowledge of building backend
• Excellent spoken English and a good internet connection for daily video calls

You are a great fit if you:

• Get frustrated when development takes weeks instead of days
• You think in features and architecture, and not single lines of code
• Can spot subtle bugs in AI-generated code quickly
• You ship fast but always verify it actually works
• Have shipped real products that customers actually use
• Think “how can AI build this?” as your first instinct

Red flags (don’t apply if):

• You’ve never used Claude Code or similar AI coding tools
• You’re a perfectionist who loves to code
• You need detailed specs before starting
• You see AI as a threat rather than leverage
• You’re outside the European timezone

SKELAR is a Ukrainian venture builder creating international tech businesses. Together with co-founders, we build strong teams to conquer global markets.

Today, SKELAR houses a dozen businesses across various niches — from EdTech to marketplaces. These companies rank among the top startups and product companies in Ukraine, lead App Store charts, and develop platforms used by millions worldwide. SKELAR-backed businesses are regularly featured in global media such as TechCrunch, Wired, and more.

We take pride in our strong team of 1,000+ professionals with outstanding expertise and ambitious goals. Our people are the company’s greatest asset, so we choose to build our ventures with the best talent on the market.

Now, we're looking for a Corporate Compliance Counsel for Infrastructure department — a specialist who will manage corporate document flow across multiple jurisdictions, support international structuring, maintain legal databases, and ensure smooth legal operations for the company’s global activities.

Your future responsibilities:
— Support day-to-day corporate document flow for legal entities in multiple foreign jurisdictions (Cyprus, Gibraltar, USA, Estonia, Poland, etc.);
— Complete operational tasks, such as: i) ordering corporate documents upon request; ii) drafting and signing agreements; iii) upon request collecting available corporate documents and agreements;
— International structuring support for various operations;
— Maintain and update various internal databases on corporate information, documents, and agreements;
— Communicate with corporate administrators in multiple foreign jurisdictions;
— Support day-to-day operations of multiple teams via provision of corporate documents
— Contribute to the banking and payment services providers infrastructure via documentary support and KYC execution;
— Prepare drafts of documents and agreements for intragroup financing arrangements;
— Handle legal support of administrative activities (e.g., filings, offices, documents);
— Perform ad-hoc document requests, as needed.

We’re looking for someone who has:
— 2-4 years of professional experience in a legal position in a major company, reputable accounting/audit/law firm, or compliance position in an international bank/payment institution. Experience in tech/IT industry, espesially in a corporate legal role, would be an asset;
— Ability to draft and review standard corporate documents;
— Upper-intermediate level of written and oral English.

Nice-to-have:
— Ability to focus on details to ensure and maintain data accuracy and consistency;
— Structured thinking and excellent organizational skills;
— Strong communication and written skills;
— Practical and result-oriented approach.

SKELAR is an environment for self-driven people capable of building successful companies. We call such companies the next big everything.

Beyond our business ventures, we also run the SKELAR Foundation, a charitable initiative launched by our team. Through this foundation, we create and fund projects aimed at overcoming the consequences of war and rebuilding Ukraine.

We’re committed to continuing the development of tech businesses, conquering global markets, and contributing to Ukraine’s victory 🇺🇦

To support this mission, we’ve built a comprehensive ecosystem within our venture builder:
— 8 infrastructure teams that help businesses solve any challenge—from recruiting and communications to finance and legal support;
— A founder community with hands-on experience launching multiple companies and sharing their knowledge;
— Internal professional clubs across key areas: marketing, engineering, finance, recruitment;
— Access to training, courses, and international conferences.

Let’s build the next big everything together!

Screening requirements (please read first):

• Non-negotiable: hands-on experience with process mining or task mining and ML/AI models used to analyze operational workflows (workflow discovery, variants, bottlenecks, cycle time, handoffs, deviations).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Product Owner (AI/ML) - Workflow Intelligence who can combine strong product ownership with senior-level analytical rigor.

You will own a core slice of Graphio.ai end-to-end: system connection experience, metadata collection and processing, automatic ideal workflow (golden path) generation, deviation detection, and weekly/monthly reporting delivered to a single accountable owner. At the same time, you will operate hands-on as a senior product analyst: defining metadata requirements, deviation criteria, evaluation and monitoring, and the test scenarios that keep model behavior stable and product-ready.

This role is rooted in workflow-driven B2B SaaS execution, where cross-team handoffs determine whether deals move forward, renewals succeed, and contracts get signed on time.

Key Responsibilities:

• Own the product backlog and execution for workflow intelligence: prioritize, define scope, drive delivery, and ship improvements with clear success criteria.
• Partner with the Machine Learning Engineer to define how the system automatically discovers and constructs the ideal workflow (golden path / best-performing execution pattern) from API-enabled metadata - including inputs, assumptions, and expected outputs.
• You will not manually build or validate customer workflows. Your job is to define requirements, data definitions, and evaluation criteria so the model generates the ideal workflow reliably and consistently.
• Translate customer process reality into modeling requirements: what a workflow step is, how handoffs are represented, how similar workflows are grouped, and how “successful execution” is determined at scale.
• Define metadata-first data requirements: event taxonomy, entities, identifiers, timestamps, ownership fields, system-of-record rules, and data quality constraints.
• Specify deviation definitions and prioritization: missing step, wrong sequence, excessive delay, broken ownership transition, stalled handoff - and how severity is ranked.
• Own the user-facing experience for reviewing and editing the ideal workflow: allow customers to add/remove steps and adjust what “good execution” means, while preserving a reliable baseline generated by the system.
• Own weekly/monthly reporting and alerting: what insights are surfaced, how they are explained, and how reports/alerts are delivered to the accountable owner (a specific responsible person).
• Establish evaluation, monitoring, and quality gates for model-driven behavior: misses vs false alarms, consistency of the generated ideal workflow, drift signals, lead time gained, and actionability tied to revenue outcomes.
• Run investigations for accuracy issues: analyze why the system generated an incorrect ideal workflow or missed a deviation, propose improvements, and validate fixes through regression checks.
• Maintain a library of reference workflows and test scenarios that represent common cross-team handoff patterns and failure modes, and use it for regression coverage across releases.
• Align stakeholders and drive clarity: convert ambiguous asks into decisions, keep execution moving without heavy process, and ensure releases are understandable and actionable for end users.

Preferred Qualifications:

• 4+ years in Product Owner / Product Manager roles, or in senior product business analysis roles with real product ownership scope.
• Experience shipping AI/ML-enabled features in B2B SaaS where model behavior directly impacts users and decisions.
• Strong background working with event-based data and operational systems (CRM, customer success platforms, ticketing systems, project management tools, finance/contract systems).
• Comfort defining data contracts: event taxonomy, entity identifiers, timestamp conventions, ownership fields, system-of-record rules, and data quality constraints.
• Familiarity with workflow analytics / process mining concepts (handoffs, cycle time, variants, bottlenecks).
• Strong analytical discipline: defining evaluation criteria, monitoring misses vs false alarms, and connecting model output to business outcomes.
• Strong written communication, ability to drive decisions, and comfort operating in ambiguity with a small high-ownership team.
• Prior work in early-stage or fast-scaling environments where you owned problems end-to-end and shipped iteratively.

What we offer:

• A combined role with real ownership: product decisions + analytical depth, with direct influence on core workflow intelligence.
• Close collaboration with the Machine Learning Engineer and Software Engineers to ship - not just plan.
• Clear success criteria: higher actionability, fewer false alarms, fewer missed deviations, better weekly/monthly reports, faster time-to-value.
• Fast feedback loops using real customer workflows (metadata only).
• Exposure to cross-team execution patterns across Sales, Customer Success, Legal, Finance, Product, and Operations.
• Remote-friendly team with a simple setup and low overhead.
• Competitive compensation and room to grow as the product and team scale.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Screening requirements (please read first):

• Non-negotiable: hands-on experience with process mining or task mining and ML/AI models used to analyze operational workflows (workflow discovery, variants, bottlenecks, cycle time, handoffs, deviations).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Senior Product Business Analyst (AI/ML) to help us build a polished, user-ready product experience around Graphio.ai’s core mission: stopping revenue loss before it happens by detecting broken handoffs between teams.

In this role, you will translate complex cross-functional execution problems into clear product requirements, data definitions, and measurable validation criteria. You will work closely with the Product Manager, Machine Learning and AI specialists, and Software Engineers to define what “successful execution” looks like for customers, turn that into reliable detection and alerting behavior, and continuously improve signal quality using API-enabled metadata from existing systems.

This role is rooted in B2B SaaS execution workflows, where multiple teams and systems must stay aligned for deals, renewals, and contracts to move smoothly. Your work will directly impact how accurately Graphio.ai detects misalignment early, how actionable the alerts are, and how fast customers see value after launch.

Key Responsibilities:

• Partner with the Machine Learning Engineer to define how the system automatically discovers and constructs the golden path (ideal workflow / best-performing execution pattern) from API-enabled metadata - including inputs, assumptions, and expected outputs.
• You will not manually build or validate customer workflows. Your role is to define requirements, data definitions, and evaluation criteria so the model generates the ideal workflow reliably and consistently.
• Translate customer process reality into clear modeling requirements: what a workflow step is, how handoffs are represented, how similar workflows are grouped, and how “successful execution” is determined at scale.
• Define API-enabled metadata requirements needed for automated modeling: event taxonomy, entities, identifiers, timestamps, ownership fields, system-of-record rules, and data quality constraints.
• Specify deviation definitions relative to the golden path (ideal workflow): missing step, wrong sequence, excessive delay, broken ownership transition, stalled handoff - and how deviations should be prioritized.
• Work with Engineering and Machine Learning to ensure modeling outputs are product-ready: stable, consistent across updates, and understandable enough for the end user to act on.
• Own the user-facing capability to review and edit the golden path (ideal workflow): allow customers to add/remove steps and adjust what “good execution” means, while preserving a reliable baseline generated by the system.
• Define and continuously improve weekly/monthly reporting: what insights are surfaced, how they are explained, and how reports/alerts are delivered to the accountable owner (a specific responsible person).
• Establish evaluation and monitoring for automated modeling and deviation detection: track misses vs false alarms, consistency of the generated ideal workflow, lead time gained, and actionability tied to revenue outcomes.
• Investigate accuracy issues: analyze why the system generated an incorrect ideal workflow or missed a deviation, propose improvements, and validate fixes through regression checks.
• Maintain a library of reference workflows and test scenarios that represent common cross-team handoff patterns and failure modes in workflow-driven B2B environments.

Preferred Qualifications:

• Experience building or supporting AI/ML-enabled B2B SaaS products, especially where models drive user-visible workflows and decisions.
• Hands-on experience working with event-based data and operational systems (for example: CRM, customer success platforms, ticketing systems, project management tools, finance/contract systems).
• Familiarity with workflow analytics / process mining concepts (workflow reconstruction, handoffs, cycle time, bottlenecks, variants).
• Experience defining data contracts: event taxonomy, entity identifiers, timestamp conventions, ownership fields, and data quality rules.
• Background in designing evaluation and monitoring for model-driven product behavior (false positives/negatives, consistency, drift, and business impact).
• Exposure to LLM-powered features (structured prompting, quality criteria, safety constraints, and human review loops), with a product mindset rather than research focus.
• Ability to create and manage reference scenarios and test libraries that represent real enterprise workflows and edge cases.
• Comfort collaborating across Product, Machine Learning, and Engineering teams in an agile environment, with strong written documentation skills.
• Experience working in workflow-heavy domains such as Revenue Operations, Customer Success Operations, Deal Desk, Legal Operations, Finance Operations, or Project Delivery.
• Prior work in early-stage or fast-scaling environments where you owned problems end-to-end and shipped iteratively.

What we offer:

• A role where you actually own a meaningful slice of the product (how the ideal workflow is defined, how deviations are detected and explained, how reports work).
• Close, practical collaboration with the Machine Learning Engineer and Software Engineers to ship improvements - not just write specs.
• Clear success criteria: fewer false alarms, fewer missed deviations, better weekly/monthly reports, faster time-to-value for customers.
• A fast feedback loop: you’ll work with real customer workflows (metadata only), learn what breaks, fix it, and see results quickly.
• Exposure to real cross-team execution in companies: Sales, Customer Success, Legal, Finance, Product, Operations - and how handoffs impact revenue.
• Remote-friendly team with a simple setup and low overhead.
• Competitive compensation and room to grow as the product and team scale.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• US Eastern Time (ET) collaboration. This role requires regular overlap with US East Coast (ET) working hours. You must be comfortable running meetings, follow-ups, and execution in that time zone.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Screening requirements (please read first):

• Non-negotiable: hands-on experience building or supporting production back-end systems for process mining or task mining and ML/AI-driven workflow analysis (pipelines, workflow reconstruction, model-serving integration, evaluation/monitoring, scalable APIs).
• Required: a 2–5 minute intro video link in your resume or via the platform (smartphone recording is fine). Applications without the video may not be reviewed.

Company overview:
 

Graphio.ai stops revenue loss before it happens by detecting broken handoffs between teams.
 

We analyze API-enabled metadata from your existing systems to automatically identify when Sales, Customer Success, Legal, Finance, Product, and Operations are misaligned - before deals stall, renewals fail, or contracts slip.
 

No workflow changes. Fast rollout in less than 2 days.

AI learns what successful execution looks like in your company and alerts you to dangerous deviations in real time.

We’ve built and scaled before: the team behind Graphio.ai previously built upSWOT, a B2B platform adopted by hundreds of financial institutions, which was later acquired by Uptiq.  We’re applying those lessons in execution, delivery, and scale to Graphio.ai.

Supported by senior leaders from Experian, Mastercard, Lattice, BambooHR, Altrata, SAP, JackHenry, FIS, Pfizer, Workday, Customertimes, and more (graphio.ai/investors).

Position Overview:

We are looking for a Senior AI Backend Engineer to design, build, and scale the core systems behind Graphio.ai’s workflow intelligence platform.

Graphio.ai connects to customer systems, ingests large volumes of event-based metadata, reconstructs real business workflows, and applies machine learning to discover ideal process paths (golden paths), detect anomalies, and surface insights.

This is a hands-on senior role for someone who is equally strong in:

• backend & distributed systems
• data-intensive architectures
• applied machine learning
• experimentation & research
• production-grade reliability

Our core stack: Python, C# (.NET Core / ASP.NET Core), MongoDB, ClickHouse, RabbitMQ.

We are looking for an engineer who deeply understands system architecture, can reason about data at scale, and is comfortable building, training, experimenting with, and deploying ML models into production.

What You Will Do:

Backend & Systems

• Design and build backend services and APIs using Python and C# (.NET Core / ASP.NET Core).
• Architect scalable, fault-tolerant, and observable systems for data ingestion, processing, and analytics.
• Build event-driven and asynchronous pipelines using RabbitMQ.
• Design data models and storage strategies using MongoDB and ClickHouse.
• Own system performance, reliability, and scalability.
• Implement strong observability: logging, metrics, tracing, alerting.
• Troubleshoot production issues, perform root cause analysis, and implement long-term fixes.

Data & Machine Learning

• Design and implement end-to-end ML pipelines: ingestion → feature engineering → training → evaluation → deployment.
• Train and iterate on ML models for workflow discovery, anomaly detection, and pattern recognition.
• Perform feature engineering on large-scale event and metadata streams.
• Run experiments, test hypotheses, and evaluate models using offline and online metrics.
• Conduct applied research: explore new modeling approaches, algorithms, and representations.
• Build batch and near-real-time inference pipelines.
• Monitor model performance, drift, and degradation in production.
• Implement retraining strategies and versioning.

Architecture & Product Thinking

• Define service boundaries, data contracts, schemas, and interfaces.
• Design for multi-tenancy, security, and compliance.
• Make pragmatic architectural decisions balancing speed, quality, and scale.
• Work closely with Product, ML, and Engineering to ship in small, measurable increments.
• Influence the technical direction of the platform.

Required Qualifications:

• 6+ years of experience in backend or systems engineering.
• Strong experience with Python and C# (.NET Core / ASP.NET Core).
• Experience building data-intensive systems (event ingestion, pipelines, analytics).
• Hands-on experience with machine learning:
  • training models
  • feature engineering
  • experimentation
  • evaluation
• Strong understanding of production ML systems (not just notebooks).
• Experience with MongoDB, ClickHouse, or similar databases.
• Experience with message brokers (RabbitMQ or similar).
• Strong understanding of distributed systems concepts:
  • idempotency
  • retries
  • backpressure
  • eventual consistency
  • failure modes
• Strong analytical and problem-solving skills.
• High ownership mindset.

Nice to Have:

• Experience with workflow analytics, process mining, or event-based systems.
• Experience with time-series or behavioral modeling.
• Experience with large-scale experimentation platforms.
• Familiarity with MLOps practices.
• Experience with cost optimization for data & ML workloads.
• Experience with Kubernetes and cloud infrastructure.

Why This Role Is Special:

This is not a typical backend role.
This is not a typical ML role.

You will be building a real AI system, not demos:

• messy real-world data
• real customers
• real scale
• real constraints
• real impact

If you like working at the intersection of systems, data, and intelligence, this role is for you.

What we offer:

• A senior role owning core backend systems behind an AI/ML product with clear, measurable customer impact.
• Direct collaboration with Machine Learning Engineers to bring models into production with reliability and speed.
• Real-world data engineering problems: metadata ingestion, workflow reconstruction, and scalable reporting/alerting.
• Fast iteration, low bureaucracy, and high trust - you ship and see results quickly.
• Remote-friendly team with a simple setup and strong standards.
• Competitive compensation and room to grow as the company scales.

Company Operating Requirements:

At Graphio.ai we run a high-ownership, mission-driven team with clear operating rules. Please read these carefully before applying:

• LinkedIn profile is required (company policy). Employees are required to keep a current LinkedIn profile that shows their Graphio.ai position and is linked to the official Graphio.ai company page (company logo visible on the profile). Profile standards are provided during onboarding.
• Synchronized team vacations. The team takes coordinated time off four times per year to keep planning aligned and reduce context switching. Dates are announced in advance.
• Startup constraints. Vacation timing may be restricted during critical company periods. We plan time off as a team and communicate constraints early.
• Relocation readiness. Team members may reside in Ukraine, but must be prepared to relocate with their families to Europe or the United States if the company requests it and it becomes legally possible. Any relocation would be discussed in advance.
• Non-standard schedule. The role requires flexibility to collaborate across time zones. This may occasionally include early/late meetings depending on customer and team needs.
• Zero slow offboarding. We run lean and fast. When the fit isn’t there, we act quickly: employment may be ended within a day and access is removed immediately.

Application requirement: short intro video (required):

Please include a short self-introduction video (2–5 minutes). You can add the link directly to your resume or submit it through the hiring platform in any available way (YouTube, Loom, Google Drive, or similar).

• No need for a polished production, a simple smartphone recording is perfectly fine.
• This does not replace live conversations, it only helps us speed up the first screening and understand your communication style and motivation.
• In the video, please cover:
  • Who you are and 2–3 measurable outcomes you delivered in recent roles
  • Why you are applying for this role at Graphio.ai
  • Why you are leaving or have left your previous role
  • Your view on how a high-ownership startup team should operate (pace, ownership, communication, and work-life balance expectations)
• Applications without the video may not be reviewed.

Final note:

Graphio.ai is not a 9-to-5 corporate environment. We move fast, operate with high ownership, and expect proactive execution without micromanagement. Graphio.ai is a strong fit for people who actively seek challenges for personal growth - especially those who want to build their own company one day and see this as a place to learn how high-performing startups execute.

Position: On-Chain Analyst & Researcher

Employment Type: Full-time / Part-time / Remote

Compensation: Base rate depending on experience (up to 2500 USDT) + % of profits from algorithms utilizing on-chain inefficiencies discovered by the candidate

Responsibilities:

• Analyze on-chain data across various blockchains (Solana, Ethereum, L2s, BNB Chain, etc.)

• Produce reports on transactional activity, user behavior, anomalies, and emerging trends

• Monitor and analyze meme token launchers, meme-related protocols, DeFi protocols, and CEX/DEX activity

• Write analytical materials based on collected data

• Data visualization (e.g., Dune) is a strong plus but not mandatory

• Analyze and oversee the performance of algorithms leveraging discovered on-chain inefficiencies for profit

Requirements:

• Understanding of how various EVM and non-EVM blockchains and DeFi ecosystems work

• Skills in collecting and analysing on-chain data

• Ability to formulate hypotheses and validate them using data

• Knowledge of different types of arbitrage, sniping, and MEV strategies


In your cover letter, please describe your journey in the crypto space:

• How did you get started?
• What trends have you experienced or actively participated in?
• What are you currently working on in the space?
• How actively have you used the Solana blockchain?
• What tools have you used for on-chain research and analysis?

Bookimed is a global medical treatment platform helping people choose the right clinic and doctor across multiple countries. It’s a high-ticket, high-trust category where “more traffic” is meaningless unless you can convert it into real patient decisions.

We’re building a growth engine that combines performance marketing + conversion funnels + product improvements, and we’re looking for a Growth Lead who can own this end-to-end and make it scalable.

This is not a “run ads and report CPM” role. It’s a role for someone who thinks in repeatable growth loops: channel → creative → landing/funnel → offer → product conversion → economics → scale.

What you’ll own

• Build and scale paid acquisition across the channels you’re strongest in (Meta / Google / TikTok / YouTube — not all required).
• Turn “campaigns” into repeatable growth plays (creative + funnel + offer + product conversion).
• Drive conversion improvements with product thinking: landing pages, onboarding flow, trust/proof, messaging, friction removal.
• Shape a performance-driven creative system (ads creatives, UGC-style assets, content that converts — not “nice content”).
• Run a consistent testing rhythm: launch → learn → decide → iterate → scale.
• Lead and align a small cross-functional group (paid / content / SMM + tight collaboration with product and sales).

What success looks like (first 60–90 days)

• You’ve launched and validated 1–2 scalable growth plays that show clear positive momentum and can be expanded with budget.
• The team is operating with a stable experimentation cadence and clear priorities — without founder micromanagement.
• We have a clear path to scale what works and kill what doesn’t.

What we’re looking for

Must-have

• Strong hands-on experience in performance marketing (you’ve scaled spend, not just managed agencies).
• Real funnel/CRO instincts: you can improve conversion with structure, not opinions.
• Solid understanding of unit economics and how to scale profitably.
• Ownership mindset: you don’t need perfect conditions — you create them.

Nice-to-have

• Experience in high-ticket lead gen, marketplaces, or complex decision journeys.
• Strong creative sense for performance (what actually makes ads convert).
• Comfort working with product teams and shipping improvements fast.

Why Bookimed

• Meaningful category: you’re helping people make serious health decisions, not selling another subscription.
• Complex growth challenge: high trust, multi-market, high intent — perfect for someone who likes building systems.
• AI inside the company: we actively invest in AI to speed up content, experimentation, and product improvements (not as a buzzword, but as a multiplier).

• Room to grow: if you build a scalable growth engine, this role can evolve into broader marketing leadership over time.

   

How to apply

Send:

• A short note on which channels you’re best at and what you’ve scaled.

• 2–3 examples of growth plays you’ve run (what you changed or created in the funnel and why).