Jobs at Djinni

Bringg is on a mission to transform last-mile delivery into a powerful driver of growth, loyalty, and operational excellence. As an AI-powered SaaS platform, we help leading enterprises and Fortune 500 retailers and logistics providers orchestrate smarter, more efficient delivery operations - from same-day to scheduled delivery - streamlining operations and enhancing customer experience at scale.
 

What You'll Do

• Handle both customer-facing and deep technical support questions from Bringg's enterprise customers
• Investigate reported issues using logs, SQL queries, and API calls to find root cause, not just symptoms
• Use observability tools (e.g. OpenSearch, Kibana, Grafana, Splunk) to monitor system health, catch issues proactively, and speed up incident investigation
• Use AI-assisted tools to accelerate log analysis, pattern-match recurring issues, and surface likely root causes before manual digging
• Manage a queue of competing priorities, escalating the right issues to R&D with clear, actionable bug reports
• Own production incidents end-to-end, including communicating status to internal and external stakeholders
• Validate fixes through functional testing before they go back to customers
• Contribute to and improve a shared knowledge base, using AI tools to help identify gaps and keep documentation current
   

What You Bringg
Must-haves:

• 3+ years of experience in L2 or L3 technical or application support
• Proven experience using SQL at an intermediate level
• Proven track record working with REST APIs
• Strong hands-on experience with at least one modern observability platform (e.g., OpenSearch, Kibana, Grafana, Splunk or similar tools) including log analysis, monitoring, incident investigation, root cause analysis, and proactive detection of system health and performance issues
• High level of English (a must!) with both strong written and oral communication skills
   

Strong advantages:

• Experience with providing technical and application support for Web & Mobile platforms
• BS degree in Computer Science or related technical field
• Customer-facing experience
• Experience working in operationally critical environments in high-pressure situations

Note: The position requires working in shifts (including night shifts 00.00- 08.00) during business days, and weekend shifts (day & night shifts)
 

We care about our people!
Here's a glimpse of our benefit package:

• Home office setup: $500 home office equipment allowance
• Meal allowance: $100 monthly meal allowance
• Hybrid work: flexible hybrid work from home or office
• 20 days parental (non-birth) leave
• 2 vacation days + $250 gift when getting married
• A vacation day on your birthday
• Wellness budget: $100 monthly budget for wellness or a sports activity of your choice
• Health insurance provided after completing the trial period
• Support team members receive 2 extra days off per year, which can be taken at a time that works best for you

We are building a sports booking platform that connects sports clubs and individual trainers with people looking for sports activities.

For sports businesses, our platform works as a CRM and booking system where they can publish services, manage schedules, communicate with customers and receive bookings.

For users, it is one place to discover sports activities, compare options and book them easily.

The product is already being developed, and now we are looking for someone who can help us solve one of our most important challenges: bring sports clubs, trainers and other sports providers onto the platform and help them start actively using it.

At the moment, clubs can use the platform for free, so this role is not primarily about selling a subscription.

It is about understanding club owners, building trust, introducing them to a new way of working, helping them understand the product and finding creative ways to grow our network of sports partners.

What you will do

You will own a large part of our business development, partnerships and communication with sports providers.

Your responsibilities will include:

• Finding and contacting sports clubs, studios, academies, trainers and other sports providers.
• Speaking directly with owners, managers and decision-makers.
• Building genuine relationships with sports businesses instead of relying only on standard sales scripts.
• Presenting our platform and demonstrating how the CRM works.
• Helping new partners understand the system and complete onboarding.
• Helping clubs publish their services, schedules and other information correctly.
• Following up with partners after onboarding and helping them become active users of the platform.
• Understanding why some clubs decide to use the platform and why others do not.
• Collecting feedback, requests and problems reported by clients.
• Keeping clear notes about client conversations, requested improvements, product issues and ideas.
• Organizing this feedback so that it can be easily communicated to the founders and product team.
• Helping us distinguish between one client's individual request and a problem that may affect many clubs.
• Building relationships with municipalities, sports departments, sports federations, associations and other organizations connected to sport.
• Looking for opportunities to work with sports communities, events, universities, companies and local organizations.
• Developing creative ways to attract clubs that go beyond traditional cold outreach.
• Thinking about advertising, partnerships, referral programs, local campaigns and other growth experiments.
• Tracking contacts, meetings, follow-ups, onboarding and activation in a structured way.

Communication with clients is a critical part of this role

We are looking for someone who can create an easy and natural connection with different kinds of people.

You should be genuinely interested in understanding how a club operates, what problems it has and what would make its daily work easier.

We do not want someone whose main goal is simply to convince the client that our product is good.

We want someone who listens.

Sometimes a conversation with a club owner may reveal that something in our product is confusing, missing or unnecessarily complicated.

In these situations, we expect you to understand the client's real need, ask the right questions, document the feedback and communicate it clearly to the team.

You will act as an important connection between the people using our product and the people building it.

Digital skills

You do not need to be a programmer and we do not expect you to write code.

However, strong modern computer skills are very important for this position.

You should:

• Feel confident working with web applications and CRM systems.
• Be comfortable learning new software without needing detailed instructions for every step.
• Understand basic concepts of modern digital security, such as MFA and why account security matters.
• Be comfortable working with online communication and productivity tools.
• Be able to demonstrate our CRM to clients confidently.
• Be able to explain digital concepts to clients who may not be technically experienced.
• Keep information about leads, conversations and client feedback organized.
• Write clear notes after meetings and calls.
• Report bugs, problems and improvement requests in a way that is understandable to the product and development team.
• Be curious about technology and interested in understanding how digital products work.

You do not need technical expertise, but you should feel comfortable in a technology-driven environment.

We are looking for someone who

• Is open-minded and genuinely curious about people.
• Is a good listener.
• Can quickly build a comfortable connection with business owners and managers.
• Tries to understand the client's real problem instead of immediately trying to sell something.
• Can translate client feedback into clear information for the product team.
• Is comfortable starting conversations with people they do not know.
• Can speak confidently with business owners and decision-makers.
• Has experience in business development, partnerships, sales, customer success, growth or a similar role.
• Is proactive and does not wait for a prepared list of tasks.
• Likes experimenting and finding unconventional ways to reach customers.
• Can understand why a customer says "no" and use that information to improve our approach.
• Is comfortable working in an early-stage startup where many processes are still being created.
• Can work independently and take ownership of results.
• Is organized enough to manage a pipeline of contacts, meetings and follow-ups.
• Understands that getting a club registered is not enough. The goal is to help the club actually start using the platform.

Experience in sports, fitness, marketplaces, SaaS, CRM products, local business sales, customer success or working with public organizations would be a strong advantage.

Location

We are based in Gdańsk and would prefer someone who is also based in Gdańsk or nearby.

Being local is an advantage because this role can involve meeting club owners, visiting sports facilities, attending local events and building relationships with organizations and public institutions.

However, Gdańsk is not a strict requirement.

We are open to strong candidates from other locations who are comfortable traveling to Gdańsk and meeting partners in person when needed.

This role is probably not for you if

You prefer receiving a ready-made list of leads and following a fixed sales script.

We need someone who naturally asks questions such as:

"Why isn't this club interested even though the product is free?"

"What problem does this club actually want us to solve?"

"What part of our CRM is difficult for them to understand?"

"Are several clubs asking us for the same feature?"

"Where can we find another 100 clubs like this?"

"What would make this club recommend us to other clubs?"

"Could we work with the city, federation or sports association?"

"Can we create a partnership instead of contacting every club individually?"

"Can we launch a campaign around a specific sport or local community?"

"How can we make onboarding easier?"

What success looks like

Success is not measured only by the number of emails sent or calls made.

We want to see:

• Meaningful conversations with sports businesses.
• Clubs and trainers joining the platform.
• Partners completing onboarding.
• Partners actively using the CRM.
• Real sports services and schedules being published.
• Users being able to discover and book these services.
• Useful client feedback reaching the product team.
• Product improvements based on real market needs.
• Partnerships that give us access to groups of sports providers.
• Acquisition methods that we can repeat and scale.

Why this role is interesting

This is an opportunity to join an early-stage product where your work can directly influence both the growth strategy and the product itself.

You will not simply be selling a finished product.

You will help us understand the market, build relationships with sports businesses, discover what clients really need and help shape the product around those needs.

You will work closely with the founders and product team, while also spending significant time talking directly with the people who use the platform.

If you enjoy communication, technology, sales, partnerships, experimentation and building something from zero, we would like to talk.

Description

Our client is the world’s #1 web data platform. Fortune 500 companies, academic institutions, and small businesses all rely on our solutions to retrieve crucial public web data in the most efficient, reliable, and flexible way, so they can research, monitor, analyze data, and make better decisions.

Requirements

• Basic knowledge of OOP and Functional programming;
• Good knowledge of JavaScript (ES6/7/8) and working with the browser DOM (searching elements, iterating, getting content);
• A basic understanding of Web scraping is a must;
• Web scraping experience in JS or Python would be a plus;
• Basic knowledge of Git;
• Intermediate English, including written and verbal communication skills;
• Ability to learn quickly and grow in the technical area;
• Analytical mind and problem-solving aptitude.

Job responsibilities

• Participate in various activities as required for project success: discussing approaches, possible technology solutions, investigations, and development;
• Adding new functionality to existing systems, while constantly improving usability, quality, and performance;
• Contribute to project deliverables, mood, and success.

HighCraft is looking for an Application Security Engineer to assess a healthcare platform for practitioners and patients.

This is an ongoing remote, part-time contract, starting with a security assessment estimated at 40–60 hours. You will then provide security reviews and support as new features and integrations are developed.

What you will do

• Perform manual security assessments of web applications and APIs.
• Identify and validate vulnerabilities in authentication, access controls, business logic and data handling.
• Review security-sensitive changes and third-party integrations.
• Document findings with clear evidence, reproduction steps and practical remediation guidance.
• Work with developers to resolve security issues and retest fixes.

What we are looking for

• Hands-on experience independently testing authenticated web applications and APIs.
• Practical understanding of OWASP web and API security, authentication, authorization and multi-tenant applications.
• Ability to investigate and validate findings manually using HTTP requests and application behavior.
• Clear technical reporting and practical remediation guidance.
• Upper-Intermediate English (B2), with the ability to discuss findings with developers.

Experience with Burp Suite, .NET, Azure or healthcare systems is a plus.

To apply

Please include:

• Your relevant web/API security testing experience.
• Your expected hourly rate.
• Your weekly availability and earliest start date.
• A brief, anonymized example of a security issue you identified and how you documented it.

Key Responsibilities:

• Analyse and formalise requests from business and stakeholders; conduct sessions to clarify problems, goals, and context;
• Identify and decompose problems; apply techniques for information gathering and structuring (interviews, document analysis, observation, data analysis);
• Prepare and refine business and functional requirements;
• Create User Stories and Acceptance Criteria for tasks in Jira/YouTrack;
• Support the Product Owner in analysing, clarifying, and preparing requirements, as well as in managing priorities and task planning;
• Prepare and maintain up-to-date documentation in Confluence;Work with context — understand dependencies between tasks, systems, and teams;
• Participate in roadmap preparation and ensure consistency of product development plans;
• Verify the requirement implementation accuracy together with QA;
• Participate in daily stand-ups, planning sessions, and retrospectives;
• Use basic prototyping tools (e.g., Marvel, Figma, Miro) to clarify user flows and logic;
• Review final designs required for task definition;
• Collaborate with the development team to clarify implementation details;Keep the backlog and task statuses up to date.

Core Skills:

• Strong communication skills and the ability to solve problems diplomatically and build constructive team relationships;
• Understanding of SDLC, Agile, and Waterfall principles;
• Ability to formulate clear, testable requirements and Acceptance Criteria;
• Solid understanding of frontend technologies (HTML, CSS) and client-server interaction principles;
• Basic experience working with design systems and understanding how to use them to refine requirements;
• Proficiency with Jira, YouTrack, Confluence, or similar tools;
• Systemic thinking and the ability to see relationships between requirements and product goals;
• Attention to detail and strong analytical, structured thinking.
   

Additional Skills:

• Experience in fintech or trading systems will be a strong advantage (but not mandatory);
• 1–2 years of experience in IT projects (as a Business Analyst, Product Owner Assistant, or QA);
• Understanding of web platform and API principles;
• Ability to create simple diagrams (BPMN, Flowcharts, User Flows);
• Experience collaborating with QA teams.
   

Language Requirements:

• Intermediate English level for working with technical documentation and team communication.

We offer:

• An interesting project and non-trivial tasks that will allow us to show our professional attitude and creativity;
• Friendly team;
• Comfortable working schedule and working conditions;
• Opportunity to work remotely as well as in an office located in the city centre;
• Stable, competitive salary;
• Paid vacation and sick leaves;
• Opportunity for professional growth and career development;
• English, paid professional courses, coffee/fruits and other pluses :)

We are looking for a Risk & Fraud Lead who will lead, manage, and develop our Risk & Fraud team, strengthen our risk framework - both at the operational and enterprise level- and contribute to the brand's successful development.

Responsibilities

• Manage and mentor the Risk & Fraud team, overseeing the full employee lifecycle from hiring and onboarding to setting KPIs, performance reviews, and coaching.
• Organize shift schedules and workload distribution to ensure consistent real-time operational coverage.
• Oversee real-time transaction monitoring and act as the ultimate escalation point to review and approve decisions on complex cases and high-risk accounts.
• Lead complex investigations into bonus abuse, fraud networks, and anomalous behavior using advanced techniques (device fingerprinting, IP/geo-location analysis).
• Oversee the end-to-end customer verification process, encompassing standard KYC (ID, proof of address, source of funds) and Enhanced Due Diligence (EDD).
• Own and optimize fraud prevention rules and risk engine settings to balance acceptance rates with fraud prevention.
• Manage end-to-end dispute and chargeback processes, collaborating closely with PSPs on fraud alerts and suspicious transactions.
• Monitor Key Risk Indicators (KRIs) and prepare comprehensive risk reports for senior management, highlighting trends, emerging threats, and mitigations.
• Ensure all risk investigations are accurately documented, tracked (e.g., in Jira), and effectively communicated across internal departments.
• Contribute to the group’s overarching risk governance by helping define risk appetite, tolerance levels, and building scalable policies and escalation frameworks.
• Partner with Legal, Finance, and senior leadership to ensure risk controls comply with jurisdictional regulations and assess risk exposure for new market/product launches.
• Support planning for major incidents (large-scale fraud events, data breaches, regulatory inquiries) and help shape the group's response protocols.
   

Requirements

• 5+ years of experience in Risk, Fraud Prevention, Payments, or a similar role (iGaming industry required)
• 2+ year of experience in a team lead, senior specialist, or supervisory role
• Strong understanding of fraud schemes, risk indicators, and suspicious activity patterns
• Experience with transaction monitoring and fraud detection tools, including rule/engine configuration
• Knowledge of KYC, AML, and regulatory compliance requirements
• Experience reviewing accounts, transactions, and documents to detect potential fraud
• Familiarity with payment methods, including cards, e-wallets, and online payment systems
• Proven people-management and team-leadership skills
• Ability to think beyond day-to-day fraud operations - understanding of enterprise or group-level risk considerations (financial, regulatory, reputational) is a strong plus
• Comfort communicating risk exposure and recommendations to senior stakeholders
• English proficiency at B2 level or higher

Help99 https://www.help99.co/ is Europe’s most effective NGO focused on supplying Ukraine’s frontline with pickup trucks and drones. Rooted in the European startup ecosystem, our early supporters include founders and investors, and our donor base has grown to 42,000+ NAFO fellas globally.

We’ve organized 54 convoys, delivered almost 1,000 trucks, and moved €23M in aid. But the frontline is shifting, and we need to adapt just as fast.

That’s why we’re hiring.

🚀 Help99 is hiring: Marketing Lead (Fundraising & Growth)

Location: Tallinn, Estonia or Kyiv, Ukraine

We are looking for a strong growth operator to help us scale fundraising and grow our donor community.

This is not a generic marketing lead role.

We already run campaigns, work with influencers, and operate across multiple channels. What we need now is someone who brings a new view and new skills we do not yet have.

The gap is not “more posting.”

The gap is finding new funnels, testing them fast, and scaling what actually brings donations.

You will work directly with the founders and help build the next fundraising engine for Help99.

What you’ll do:

🧪 Find & Test: Build new fundraising funnels beyond our current core channels and test ideas fast.

📊 Read the Signal: Analyze campaign, website, donor, and channel performance — and turn data into action.

⚡️ Scale What Works: Spot winning ideas, improve them fast, and turn them into repeatable growth models.

🤝 Build Partnerships: Work with influencers, partners, and collaborators to create new fundraising formats.

🎯 Drive Results: Improve how we measure ROI, conversion, donor growth, and campaign performance.

🧠 Lead Projects: Coordinate people and experiments across paid, organic, website, email, and partner channels.

Who you are:

📈 Analytical: You know how to read data, spot patterns, and make smart decisions fast.

💡 Creative: You generate ideas, test them in the real world, and are not afraid to kill weak ones.

🛠️ Operator: You like building systems, not just throwing out ideas.

👥 Lead: You have some team lead experience and can coordinate people and move projects forward.

🌍 Communicator: Strong English is a must.

🔥 Driven: High ownership, hands-on mindset, and real hunger to grow donations.

Big pluses:

YouTube growth, influencer-led campaigns, e-commerce, non-profit fundraising, performance marketing, or building online communities.

What matters most:

Your main KPI is simple: grow donations and our donor community.

What we offer:

💰 Salary: €2,500–€3,000 gross/month

🏢 Location: Tallinn or Kyiv

⚡️ Ownership: Real autonomy, direct access to founders, and fast decision-making

🇺🇦 Impact: Your work will directly help us raise more money, move faster, and save lives

This is an NGO, not a venture-funded startup.

But for the right person, this role offers something better: real ownership, visible impact, and a chance to help build a fundraising machine that actually matters.

If you are strong in analytics, growth, testing, and building new fundraising engines — we want to talk.

Stylized 3D Environment Artist / World Builder
GameDev · Unreal Engine 5 · Stylized Environment Art
About the Project
An international GameDev team is working on a multiplayer Science Fiction MMO.
Players will explore a futuristic world featuring diverse planets, alien civilizations, unusual architecture, and advanced technologies.
The team is currently actively developing the game world, its visual style, and key locations. One of the first major tasks will be creating a fully-fledged game hub where players can meet, interact, receive quests, and access various in-game services.
Art Style
This is one of the most important aspects of the role.
We are looking for a 3D Environment Artist who enjoys creating stylized, organic, and atmospheric game worlds and can bring them to life in Unreal Engine.
The project focuses on:
Soft, expressive, and exaggerated shapes
Organic landscapes, vegetation, trees, grass, rocks, and terrain
Rich but harmonious color palettes
High-quality hand-painted PBR textures
Stylized futuristic architecture
Unique technological objects and props
Cohesive environments that feel alive while remaining clear and readable during gameplay
Visual references include Wayfinder, HAWKED, Wildgate, as well as the work of Tyler Smith.
We are not looking for photorealistic environments or artists focused primarily on hard-surface assets. The main focus is on organic stylization, hand-painted texturing, and creating cohesive game environments.
What You Will Do
Create complete game environments in Unreal Engine 5.
Work on the first futuristic game hub.
Create organic 3D assets such as trees, vegetation, grass, rocks, terrain, and other landscape elements.
Create stylized architecture, modular structures, props, and visual landmarks.
Create and refine hand-painted PBR textures.
Work with shape, color, composition, and visual hierarchy.
Build and set up scenes directly in Unreal Engine 5.
Work with materials, lighting, and atmospheric effects.
Create clear and functional gameplay spaces with routes and interaction areas.
Optimize models, textures, and scenes for stable game performance.
Collaborate with the Creative Director, Game Designer, and other team members.
Contribute to the visual direction and the asset/location production pipeline.
What We Are Looking For
Practical experience with Unreal Engine 5.
A strong portfolio featuring stylized 3D environments.
Experience creating not only individual assets but also complete game environments.
Strong 3D modeling and texturing skills.
Experience creating hand-painted PBR textures.
Understanding of organic modeling and natural forms.
Experience creating modular assets and game locations.
Ability to work with both natural environments and stylized architecture.
Understanding of composition, color, and artistic stylization.
Understanding of 3D asset optimization for game engines.
Ability to take a location from blockout to final result independently.
Most importantly: your portfolio should demonstrate complete environment scenes, preferably including examples created in Unreal Engine.
Nice to Have
Experience working on Wayfinder, HAWKED, or Wildgate.
Experience in MMO or open-world projects.
Experience creating game hubs, settlements, cities, or social spaces.
Strong organic sculpting skills.
Experience creating stylized vegetation.
Experience developing or maintaining a visual style for a game project.
Experience working with large-scale landscapes.
Experience with atmospheric effects and advanced lighting.
Ability to make independent artistic decisions and work with feedback from a Creative Director.
Tools
Unreal Engine 5
Blender / Maya / 3ds Max
ZBrush
Substance 3D Painter
Photoshop or similar tools
Tools for creating and optimizing game assets

We're looking for an AI & Data Engineer to build the data and AI backbone of a livestream shopping and social marketplace platform for the Middle East - one that combines real-time auctions and social engagement into a single automated, data-driven product.

The audience pipelines, personalization logic and AI agents for this platform don't exist yet. You build them from scratch and own how they run in production.

What you'll do

Growth Data Activation (MarTech)

• Build automated audience pipelines from the warehouse into marketing platforms - Meta CAPI, Google Ads, Braze, Customer.io, WhatsApp API.

Lifecycle Automation & Personalization

• Design behavior-based triggers (cart abandonment, livestream reminders) and ranking/recommendation logic for products and live shows.

Practical AI Integration

• Deploy production-ready LLM workflows and AI agents for operational needs - seller onboarding, content moderation, automated customer support - with proper cost and evaluation guardrails.

Who we're looking for

Must have:

• 3-4 years of experience in Data Engineering, Software Engineering, or Data Architecture.
• Strong, production-grade Python and SQL.
• Proven experience building OLAP data warehouses (ClickHouse, BigQuery, Snowflake, Redshift etc)
• Experience with event tracking and identity resolution - Segment, RudderStack, PostHog.
• Practical experience integrating LLMs/RAG into real production systems - not just prompts or demos.

We are looking for a Finance Manager or Financial Analyst who can take ownership of the company's financial reporting, cost tracking and financial analytics.

The ideal candidate should have experience with DTC / E-commerce and payment processing, or be willing to quickly learn the specifics of this area.

The key requirement is the ability to understand the real economics of the business, including not only revenue and advertising costs, but also payment processing fees, refunds, chargebacks, alerts and other payment-related expenses.

Key Responsibilities

1. Financial Reporting & Analytics

• Build and maintain regular P&L reports.
• Build and maintain Cash Flow reports.
• Track revenue, COGS, gross profit, operating expenses and net profit.
• Track actual vs. planned expenses.
• Prepare weekly and monthly financial reports.
• Analyze profitability by product, GEO, channel or project when required.
• Build consolidated financial dashboards and reporting tables.

2. Payment & Processing Analytics

The candidate should understand or be willing to learn:

• Credit card transactions.
• Payment processing fees.
• MDR / processing fees.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Failed / declined transactions.
• 3DS-related costs.
• PSP / payment gateway fees.
• MID-related costs.
• Rolling reserves.
• Payment provider payouts and settlements.

It is important to understand the full cost of each payment-related event, rather than simply recording the transaction amount.

For example, for a refund, the model should account for the refunded amount as well as any non-refundable processing fees, fulfillment/shipping costs and other associated expenses where applicable.

For chargebacks, the model should account for the lost transaction amount, chargeback fees and other related costs.

3. Data Collection & Consolidation

The Finance Manager will collect and consolidate financial data from multiple sources, including:

• Bank accounts.
• PSPs and payment providers.
• Payment gateways.
• CRM / order management systems.
• Advertising platforms.
• Meta / Google and other traffic sources.
• Accounting systems.
• Internal spreadsheets and reports.

The goal is to have one reliable financial model where all major business expenses and revenues are reflected.

4. Reconciliation

• Reconcile bank transactions with internal financial data.
• Reconcile PSP settlements and payouts.
• Track refunds and chargebacks.
• Verify processing fees.
• Identify discrepancies between systems.
• Track pending balances and reserves.
• Monitor actual cash received vs. expected cash.
• Investigate and explain financial discrepancies.

5. Operating Expenses & Payroll

The financial model should include all relevant business expenses, including:

• Employee salaries.
• Contractor payments.
• Bonuses and commissions.
• Advertising spend.
• Payment processing.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Fulfillment and shipping.
• Product / manufacturing costs.
• SaaS and software.
• Accounting and legal expenses.
• Other operational expenses.

Financial Models & KPIs

The candidate should be able to build and maintain reporting covering:

• Revenue.
• Net Revenue.
• Refunds.
• Chargebacks.
• Chargeback alerts.
• Payment processing fees.
• COGS.
• Advertising spend.
• Fulfillment / shipping.
• Payroll.
• Operating expenses.
• Gross Profit.
• Operating Profit.
• Net Profit.
• Cash In.
• Cash Out.
• Cash Balance.
• Cash Flow.

Key ratios and metrics should also be tracked, including:

• Refund rate.
• Chargeback rate.
• Alert rate.
• Processing cost %.
• Advertising cost %.
• Payroll %.
• Operating expense %.
• Net margin.
• ROAS / ROI.
• Contribution margin.

Requirements

Must have:

• Strong Excel / Google Sheets skills.
• Strong financial analysis skills.
• Ability to build and maintain P&L and Cash Flow models.
• Ability to work with large amounts of data.
• Strong attention to detail.
• Ability to reconcile data from multiple sources.
• Good understanding of business and unit economics.
• Ability to independently identify discrepancies and explain financial results.

Strong plus:

• Experience in DTC / E-commerce.
• Experience with subscription businesses.
• Experience with payment processing.
• Experience working with PSPs / MIDs / payment gateways.
• Understanding of refunds, chargebacks and chargeback alerts.
• Experience with Meta / Google advertising spend.
• Experience building financial models from scratch.

Important

We are not necessarily looking for someone who already knows every detail of payment processing.

A strong financial analyst with excellent Excel / Google Sheets skills, good financial thinking and experience building P&L / Cash Flow models can be a good fit if they are willing to learn the payment side of the business.

The person should be able to quickly understand the flow:

Customer payment → PSP / MID → processing fees → refund / alert / chargeback → reserves → settlement → actual cash received

The key requirement is that the person does not simply enter numbers into spreadsheets, but understands what each number means and how it affects the actual profitability and cash flow of the business.

Expected Result

The Finance Manager should provide a clear and accurate picture of the business:

How much we generated → how much we actually received → where the money was spent → payment-related costs → refunds / chargebacks → operating expenses → payroll → actual profit → actual cash flow.

The person should be able to independently maintain this system, identify discrepancies and provide clear weekly and monthly financial reports to management.

ITKingdom is an online coding school for kids ages 8–18. We’re looking for a Roblox Studio Teacher to join our team.

You’ll teach one-on-one online lessons in English and help students learn coding while building their own Roblox projects.

No sales. No finding students. We provide the students, lesson materials, and support.

💎 What You’ll Get

• Ready-to-go students — no need to find your own clients.
• Flexible schedule — work part-time or full-time.
• Ready-made lesson materials — no need to build every lesson from scratch.
• Support from a methodologist and team lead whenever you need it.
• Professional development — workshops, knowledge sharing, and opportunities to grow.
• Reliable payments — twice a month.

• Long-term work with a supportive team.

   

🎯 What We’re Looking For

You:

• Have English at B2 level or higher (must-have)
• Have some programming knowledge and hands-on experience.
• Are willing to learn Roblox Studio — we’ll teach you how to use it.
• Enjoy working with kids and can explain things in a simple, easy-to-understand way.
• Are reliable and responsible.
• Speak Ukrainian.

• Are open to feedback and willing to keep learning.

   

🖥️ What You’ll Need

• Computer or laptop
• Camera

• Stable internet connection

   

🕒 Schedule

Our students are in Ukraine, the US, and Canada, so lesson times vary.

Kyiv time:

• Weekdays: 5:00 PM–2:00 AM

• Saturday & Sunday: 11:00 AM–9:00 PM

   

You can choose the hours that work best for you within these time slots.

🚀 Sound Like You?

If you enjoy coding, like working with kids, and want to help them turn their ideas into Roblox projects, we’d love to hear from you!

We’re looking for a Junior Product Manager to join our project. You’ll take tasks, learn through hands-on work and, over time, grow into a full Product Manager position. You’ll work on the project with mentorship from our Product Manager and move at a startup pace from day one.
Our project is a usability testing tool: real people go through web products, and teams get recordings and UX recommendations they can pass to dev tools via MCP. You'll work on onboarding, test scenarios, user acquisition and the product funnel, helping find and fix problems.
 

Requirements:

• Less than 1 year of experience in product management or a related field.
• Completed course or other formal program in product management covering user acquisition, monetization and retention.
• Basic knowledge of product metrics, funnels, hypothesis testing and product research.
• Curiosity about products and the ability to learn fast.
• Proactive approach: you take initiative and move tasks forward without reminders.
• Strong skills in finding, collecting, verifying and organizing information.
• Systematic approach, attention to detail and the ability to see operational tasks through to completion.
• Confident use of Google Sheets, Google Docs and AI tools.
• English at Upper-Intermediate (B2) level or higher, enough for independent work with English sources and day-to-day work communication.

Career switchers are welcome if you’ve already started learning product management.
 

Nice to have:

• Portfolio with educational or real-world cases.
• Experience in digital marketing, content marketing or business analysis.
• Completed Model of Growth or similar product management courses.
   

What you’ll do:

• Operationalize product areas and complete product tasks set by the Product Manager.
• Research the market, competitors and users.
• Collect, verify and organize product data.
• Prepare materials and conclusions based on research and experiment results.
• Maintain product documentation, set and track operational tasks.
• Coordinate individual tasks with engineering, design and marketing.
• Monitor the results of launches, ad campaigns, landing pages and product funnels.
   

We offer:

• Compensation for medical services, sport activities, professional learning
• Free English classes
• Mental health program and support
• Balance of freedom and responsibility
• Regular performance evaluation, including salary revision, based on your results

If this sounds like a match, feel free to apply or reach out with questions.

We are looking for an experienced and product-minded Lead Data Scientist to drive the evolution of our Data Science function, shape the technical vision, and guide a high-impact team working at the intersection of research and production. This is a unique opportunity to influence strategy, lead cross-functional teams, and build ML solutions that directly power mission-critical business decisions

What You Will Do

• Define and own the Data Science strategy, ensuring alignment with business goals and long-term product vision.
• Shape and maintain the technical roadmap based on business priorities, team capacity, and company growth.
• Scale the Data Science function as the organization expands, designing team structure and hiring profiles.
• Lead, hire, and mentor a cross-functional team of Data Scientists while fostering a strong R&D culture built on rigor and measurable impact.
• Manage resources across both Delivery (S&D) and Research (R&D) squads, ensuring clarity and productivity.
• Act as the bridge between R&D and Delivery: translate business needs into research tasks and adapt prototypes into production-ready solutions.
• Architect client solutions by selecting appropriate models, algorithms, and assortment strategies using our ML stack.
• Serve as the quality gatekeeper: review code, validate A/B test designs, and ensure all work meets the team’s Definition of Done (DoD).
• Drive key DS metrics such as research-to-production time, experiment velocity, and recommendation quality.
• Communicate insights clearly to product managers, engineers, clients, and stakeholders, aligning expectations and next steps.
• Represent the company’s technological excellence to investors and partners during high-stakes due diligence.
• Collaborate with clients' Data Science and Analytics teams (including PhDs), explaining methodology, assumptions, and results with confidence.
• Translate complex model outputs into concise, business-oriented presentations for executives and decision-makers.
• Support the sales and pre-sales process by building compelling technical narratives and showcasing ML capabilities.

• Stay hands-on when needed — from debugging critical delivery issues to prototyping new models or designing experiments.

   

What You Have

• 5+ years of experience in Data Science or a related field, with a strong record of delivering production value.
• Strong Python and SQL proficiency, with clean and modular coding practices.
• Hands-on experience with Databricks and Apache Spark.
• Familiarity with Data Mesh principles and collaboration workflows with data engineering teams.
• Solid mathematical foundation, ideally within a Computer Science–related discipline.
• Expertise in scientific Python tools: NumPy, pandas, scikit-learn, and either TensorFlow/Keras or PyTorch.
• Deep understanding of statistical methods and A/B testing frameworks.
• Experience with Time Series Forecasting approaches.
• 3+ years working with tabular and mixed (multimodal) data.
• Bonus: experience in Causal Inference and ecommerce/retail domains.

• Upper-intermediate or higher English proficiency and excellent public speaking skills.

   

Soft Skills

• A strong focus on business impact — understanding not only how the model works but why it matters.
• Ability to translate complex concepts into simple explanations for non-technical stakeholders.
• Professional communication with highly technical client teams, including PhD-level experts.
• Ownership of data requirements, integration workflows, and validation processes.
• Comfort with experimentation, iteration, and decision-making in a dynamic environment.
• Proactivity: contribute DS-driven ideas to the Product Backlog and influence roadmap direction.
• Creative thinking and a pragmatic approach to solving complex technical and product challenges.

• Curiosity, eagerness to learn, and a strong entrepreneurial mindset.

   

You Will Love Working With Us Because

• Innovative ML stack with freedom to choose the best tools and approaches.
• Remote-first culture with the flexibility to work from anywhere.
• Flexible working hours (start between 8–11 AM), no time tracking.
• Regular performance reviews and clear OKR structure.
• In-depth onboarding with transparent success milestones.
• We cover 70% of your training or course fees.
• 20 vacation days, 15 days off, and an additional week of paid Christmas holidays.
• 20 business days of paid sick leave.
• Partial medical insurance coverage.

AI-First Senior Software Engineer

Ukraine, Kyiv  On-Site · Full-Time

Company: Orbox.ai - AI-Native PropTech Operating System for Real Estate

Location: Ukraine, Kyiv - on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Tech Lead

Works with: AI-Engineer, Product Analyst, UI/UX Designer, QA Engineer

PropTech experience: Not essential, very good if has direct or indirect experience

English: Advanced (B2-C1)

About

We are building an AI-native operating system for real estate. The product is a PropTech platform where LLMs and AI agents are not bolted on top - they are the architecture. Owners, operators and guests interact with the AI system through natural language. AI autonomously generates compliance documents, routes staff, answers guest queries from a RAG-indexed knowledge base in real time and orchestrates financial split-payments.

But the product is only half of it.

We are equally an AI-first delivery organization. The way we discover, define and ship is as differentiated as what we ship. Specs, stories and designs are machine-readable artifacts our coding and review agents consume directly - and senior engineers are the ones who design the system, direct the agents and own every line that reaches production.

The role

This is the role that turns machine-readable specs into production software - by leading AI agents, not by typing every line yourself.

You will report directly to the Head of Delivery & Product, with short decision loops to founders and direct access to product, design and QA.

This is a hands-on senior engineering role at the core of the delivery machine. Most of our code is written by AI coding agents against machine-readable specs. That makes senior engineering judgment more valuable, not less: agents write fast, but still pick wrong abstractions, miss edge cases, leak data across tenants and ship code that passes its own tests and breaks in production. You are the engineer who designs the system, sets the guardrails and owns what gets merged.

You will build and ship features end to end across backend, frontend and integrations: service design, data models, APIs, UI, government and third-party integrations, AI features (LLM agents, RAG, document generation) and the infrastructure they run on.

You will work side by side with the AI-First Product Analyst (who writes the specs), Product Designers (who own the mockups) and QA (who holds the release bar). You will use our shared Claude Team / Claude Code with premium seating along with the company's AI tools daily, deeply and natively - not as a novelty, but as the default way you work.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today (boilerplate, refactors, tests, migrations, docs), which it does not (architecture, security boundaries, trade-off calls, debugging subtle production issues) - and how to combine both deliberately.

What you will own & do

AI-First Engineering

• Daily, deep, native use of AI coding agents for implementation from specs, refactoring, test writing, code review, debugging and documentation.

• Treat agents like a team you lead: clear specs in, reviewed code out - you own the context, rules files, guardrails and the review bar.

• Build and improve our agentic delivery pipeline: repo conventions, agent instructions, MCP tooling and CI checks that keep agent output safe to merge.

• Contribute to internal evals from the engineering side: define what “good” looks like for AI-generated code and for our user-facing AI features.

Product Engineering

• Own features end to end: from spec & acceptance criteria to design, implementation, tests, deployment and monitoring on prod.

• Design clean service boundaries, data models and APIs for a multi-tenant B2B2C platform with role-based access.

• Build complex frontend surfaces: dashboards, real-time data, multi-step workflows, back-office tooling.

• Integrate with government and regulatory APIs, payment providers and third-party systems - reliably, idempotently, with proper error handling and audit trails.

AI & LLM Systems

• Build production AI features: LLM agents, tool calling, RAG pipelines, compliance document generation - with grounding, fallbacks and cost control.

• Engineer the non-deterministic layer: prompt versioning, structured outputs, guardrails against hallucinations and prompt injection, tenant-safe retrieval.

• Instrument AI behaviour with tracing, logging and metrics - treat AI output as something to be measured, not trusted.

Engineering Quality & Ownership

• Own the merge bar: review agent and human PRs, enforce architecture, security and performance standards.

• Write automated tests and CI that make agent output safe to ship; partner with QA on test strategy and release readiness.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec layer, not hacked around in code.

• Shape the engineering practice at an early stage: conventions, environments, observability, incident handling - lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

• 4+ years of hands-on software engineering on production web products, with senior-level ownership of a system or major product area.

• Strong full-stack skills: modern backend (TypeScript / Node.js or Python), modern frontend (React / Next.js or similar) and relational databases (PostgreSQL or similar).

• Daily, deep, native use of AI coding tools (Claude Code, Cursor or similar) in your engineering workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Hands-on experience building LLM-based features: agents, tool calling, RAG, structured outputs - shipped to production, not just demos.

• Solid system design: multi-tenant SaaS, role-based access, API design, async processing, third-party integrations.

• Critical code review skills: you read AI-generated code with suspicion and catch what agents miss - security holes, data leaks, wrong abstractions, hidden complexity.

• Cloud & DevOps fluency: Docker, CI/CD, at least one major cloud (AWS / GCP / Azure), logging and monitoring.

• 0 → 1 mindset: comfortable in an early-stage team, working directly with founders and product, shipping fast without losing rigor.

• Strong written and verbal communication in English - including specs, PR descriptions and technical discussions.

Strong advantage (Nice to have)

• Background in PropTech, hospitality tech, Fintech or multi-sided marketplace platforms.

• Exposure to payment flows, compliance / regulatory workflows, document-generation systems or government API integrations.

 Experience with LLM evals and observability (Langfuse, LangSmith or similar) and vector databases.

• Real-time systems, IoT or tokenization / blockchain infrastructure.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define how software gets built when AI agents write most of the code.

• Genuine engineering ownership.

• Clear growth trajectory - Tech Lead / Engineering Lead.

• Direct access to founders and Head of Delivery & Product.

• Technically ambitious product surface - AI-native, Agentic system, RAG, IoT, real-time systems, government APIs, tokenization.

• AI-first by default.

• Great office in the centre of Kyiv.

AI-First Senior Software Engineer

Ukraine, Kyiv · On-Site · Full-Time

Company: Orbox Group - new AI-native product for the oil & petroleum business in Ukraine

Location: Ukraine, Kyiv - on-site, office in the city centre

Employment: Full-time, permanent

Seniority: Senior

Reports to: Tech Lead

Works with: Business Analyst, UI/UX Designer, QA Engineer, business owners & operations team

Languages: English - Advanced (B2-C1); Ukrainian - fluent

The role

This is the role that turns a real offline business into production software - by leading AI agents, not by typing every line yourself.

This is a hands-on senior engineering role. Most of our code is written by AI coding agents against machine-readable specs. That makes senior engineering judgment more valuable, not less: agents write fast, but still pick wrong abstractions, miss edge cases, get money and inventory maths wrong and ship code that passes its own tests and breaks in production. You are the engineer who designs the system, sets the guardrails and owns what gets merged.

We operate in a fast-moving startup environment where speed and precision both matter. You must be opinionated about which engineering tasks AI does well today (boilerplate, refactors, tests, migrations, docs), which it does not (architecture, security boundaries, trade-off calls, debugging subtle production issues) - and how to combine both deliberately.

What you will own & do

AI-First Engineering

• Daily, deep, native use of AI coding agents for implementation from specs, refactoring, test writing, code review, debugging and documentation.

• Treat agents like a team you lead: clear specs in, reviewed code out - you own the context, rules files, guardrails and the review bar.

 Set up the agentic delivery pipeline for the new product from day one: repo conventions, agent instructions, MCP tooling and CI checks that keep agent output safe to merge.

• Contribute to internal evals from the engineering side: define what good” looks like for AI-generated code and for the product's user-facing AI features.

Product Engineering

• Own the architecture from zero: service boundaries, domain and data model, APIs, environments - built for a real operational business with multiple sites and roles.

• Own features end to end: from spec & acceptance criteria to design, implementation, tests, deployment and monitoring on prod.

• Build operational surfaces: dashboards, inventory and stock movements, orders, pricing, documents, approvals, reporting and back-office tooling - including mobile-friendly flows for people in the field.

Integrations & Data

• Integrate with the existing world: accounting and ERP systems, Excel and legacy data, banks and payment providers, fiscalization and regulatory reporting.

• Connect the physical side of the business where relevant.

• Plan and run data migration from spreadsheets and legacy tools - reliably, idempotently, with proper error handling and audit trails.

AI & LLM Systems

• Build production AI features: LLM agents, tool calling, RAG, document processing (waybills, invoices, contracts), reconciliation, forecasting and anomaly detection - with grounding, fallbacks and cost control.

• Engineer the non-deterministic layer: prompt versioning, structured outputs, guardrails against hallucinations and prompt injection, role-safe access to data.

• Instrument AI behaviour with tracing, logging and metrics - treat AI output as something to be measured, not trusted.

Engineering Quality & Ownership

 Own the merge bar: review agent and human PRs, enforce architecture, security and performance standards.

 Write automated tests and CI that make agent output safe to ship; partner with QA on test strategy and release readiness.

• Feed spec & story defects back upstream: when the work item is wrong or ambiguous, it gets fixed at the spec layer with the Business Analyst, not hacked around in code.

• Shape the engineering practice for the product: conventions, environments, observability, incident handling - lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

 4+ years of hands-on software engineering on production web products, with senior-level ownership of a system or major product area.

 Strong full-stack skills: modern backend (TypeScript / Node.js or Python), modern frontend (React / Next.js or similar) and relational databases (PostgreSQL or similar).

• Daily, deep, native use of AI coding tools (Claude Code, Cursor etc.) in your engineering workflow. You have a real, opinionated workflow built around them and can defend your choices.

• Hands-on experience building LLM-based features: agents, tool calling, RAG, structured outputs - shipped to production, not just demos.

• Solid system design for operational B2B software: transactional data, inventory and money flows, role-based access, API design, async processing, third-party integrations.

• Critical code review skills: you read AI-generated code with suspicion and catch what agents miss - security holes, data leaks, wrong abstractions, hidden complexity.

• Cloud & DevOps fluency: Docker, CI/CD, at least one major cloud (AWS / GCP / Azure), logging and monitoring.

• 0 → 1 mindset: comfortable starting a product from an empty repo, working directly with founders, business owners and product, shipping fast without losing rigor.

• Strong written and verbal communication in English and Ukrainian - including specs, PR descriptions, technical discussions and talking to the people who run the business.

Strong advantage (Nice to have)

• Experience integrating with BAS / 1C, Ukrainian banks and payment providers, fiscalization or tax / excise reporting.

• Document processing (OCR, extraction), forecasting or anomaly detection in production.

• Experience with LLM evals and observability (Langfuse, LangSmith or similar) and vector databases.

Why this role

You will own a new AI-native/AI-first engineering from an empty repo and prove that an AI-first delivery machine can transform a traditional industry, not just a startup niche.

• Genuine engineering ownership - you design the system from zero and hold the merge bar.

 A real business as your first customer - live operations, real users, real volumes and money.

• Clear growth trajectory - Tech Lead / Engineering Lead for this product line.

• Direct access to founders and Head of Delivery & Product.

• AI-first by default.

• Great office in the centre of Kyiv.