Jobs at Djinni

We are looking for a Strong Middle/Senior DevOps Engineer who will be responsible for maintaining, deploying, and supporting our on-premise enterprise product across customer environments, ensuring reliability, scalability, and smooth delivery processes.

Requirements:

• Strong Linux and Windows administration skills;
• Experience configuring and maintaining IIS and Nginx;
• Practical experience with Docker and Kubernetes (on-premise environments);
• Experience building and maintaining GitLab CI/CD pipelines;
• PostgreSQL administration and maintenance;
• MongoDB administration and maintenance;
• ELK Stack administration and monitoring;
• Strong Git knowledge and workflow management;
• Advanced understanding of networking concepts (TCP/IP, DNS, routing, firewalls);
• Solid understanding of CI/CD processes and infrastructure automation;
• Experience deploying and supporting enterprise software solutions in customer environments;
• Knowledge of modern scripting languages (at least one).

Nice to Have: 

• Experience with Infrastructure as Code tools (Terraform, Ansible);
• Experience with monitoring and observability tools (Prometheus, Grafana);
• Understanding of security best practices for on-premise infrastructure and deployments;
• Experience with backup and disaster recovery strategies;
• Experience working in highly available and distributed environments.

Responsibilities:

• Diagnose and troubleshoot infrastructure, deployment, and application issues;
• Automate product lifecycle and operational processes;
• Monitor services, applications, and infrastructure health;
• Collaborate closely with development teams and customer technical stakeholders;
• Deploy releases to testing, staging, and production environments;
• Install, configure, and maintain on-premise product deployments;
• Support product deployments across Linux, Windows, and macOS environments;
• Maintain and improve CI/CD pipelines and deployment automation;
• Optimize system performance, reliability, and scalability;
• Create and maintain technical documentation, deployment guides, and operational procedures;
• Participate in incident response, root cause analysis, and continuous improvement initiatives.

About Yapamar
Yapamar is a B2B SaaS platform for Marketing Mix Modeling.
We help companies accurately understand the true contribution of each marketing channel, account for external factors, and make better budget allocation decisions.

About the role
As a Sales Development Representative (SDR), you'll own the full sales cycle from prospecting to closing.

What you'll do
- Build and manage outbound pipeline in the EU market;
- Research and identify target accounts and key decision-makers;
- Conduct personalized outreach via email and LinkedIn;
- Book and run discovery meetings;
- Learn and communicate the value of Marketing Mix Modeling to marketing leaders;
- Help refine messaging, qualification criteria, and sales processes;
- Maintain CRM and keep pipeline activity organized.

We'd love to hear from you if you
- Have experience in B2B outbound sales;
- Are comfortable building pipeline without relying on inbound leads;
- Enjoy prospecting, research, and opening conversations with senior decision-makers;
- Can work independently with minimal supervision;
- Are curious and willing to learn a technical product and a new market;
- Are familiar with marketing concepts such as ROI, ROAS, CAC, LTV, attribution, or incrementality;
- Communicate confidently in English.

Nice to have
- Experience selling SaaS, analytics, AdTech, MarTech, or data products;
- Experience using tools such as Apollo, Sales Navigator, HubSpot, Instantly, Lemlist, or similar.

What we offer
- Fully remote work;
- Direct collaboration with the founder and minimal bureaucracy;
- Clear path to grow with the business as it scales.

Compensation
- Fixed base salary ($700–$1,000/month);
- Commission on closed business, including renewals.
 

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.

About the Company

Our client is a financial technology services provider dedicated to expanding global access to digital assets by building innovative solutions in the cryptocurrency ecosystem. Their products provide exchanges, liquidity solutions, and enterprise-grade integrations for clients worldwide. Specialized in building Crypto, Web3, and various White-Label Solutions, we are looking for a skilled QA Automation Engineer to help scale our automation infrastructure and elevate our quality assurance strategy.

In this role, you will be a core member of our engineering team, helping establish testing standards to ensure our cutting-edge crypto solutions meet enterprise-grade performance and reliability metrics. You will have an excellent opportunity to help transform our QA processes by introducing automation to a rapidly growing organization.

What You'll Do

You will act as a key driver for automation on your team, applying your technical expertise to expand robust automation frameworks while collaborating with our existing QA members. Your main responsibilities will include:

• Automation Implementation: Take hands-on responsibility for implementing, maintaining, and scaling automation practices across our core financial and crypto products.
• Framework Development: Build and extend end-to-end automation test suites using Playwright and TypeScript.
• Test Reporting & Alerts: Configure and connect external test reporters (e.g., Allure, ReportPortal, TestDino) to pipe real-time test results and alerts directly into Slack.
• Team Collaboration & Guidance: Work closely alongside a dedicated team of QA Engineers, helping them align with automation goals, share technical knowledge, and adopt automated workflows.
• Pipeline Integration: Partner with developers and DevOps engineers to integrate automated tests directly into our build pipelines (such as GitHub Actions).
• Real-Time & Data Testing: Work on stability, responsiveness, and accuracy of data-heavy and real-time interfaces (such as WebSockets) across various browsers.
• API Validation: Test and validate backend endpoints, ensuring the stability and accuracy of our financial data feeds.

Your AI & Automation Advantage

We believe AI is a powerful co-pilot for modern testing. We're looking for an engineer who actively keeps up with the evolving AI testing landscape and latest Playwright updates. Practical experience using MCP (Model Context Protocol) servers to connect AI agents with local development or browser environments is a massive advantage!

Who You Are

You are a proactive, detail-oriented, and adaptable engineer who thrives in a fast-paced environment. You are:

• A Clear Communicator: You can effectively articulate quality risks and technical testing strategies to your QA peers, developers, and stakeholders.
• A Problem-Solver: You are self-motivated, resilient, and possess strong critical thinking skills to debug complex, distributed systems.
• A Peer Mentor: You enjoy collaborating, pairing with manual testers, and contributing positively to a team culture built on continuous improvement.
• A Tech Enthusiast: You have a curious mindset with a keen interest in (or passion for) blockchain, cryptocurrency, and financial technology.

Qualifications

• English: Upper-Intermediate level of English or higher (both written and verbal).
• Experience: 2-3 years of hands-on experience building and maintaining E2E test suites.
• Core Technical Skills:
  • Strong hands-on experience developing automation scripts using Playwright.
  • Proficiency in TypeScript or JavaScript.
  • Experience with API testing (RESTful APIs) and real-time data streaming technologies (WebSockets).
  • Good understanding of CI/CD concepts and automated test execution in development pipelines.
  • Proficient with Git version control and collaborative workflows.
• Education: A Bachelor's degree in Computer Science or a related field (or equivalent practical experience).

Bonus Points:

• At least a solid theoretical understanding (or practical experience) of how to test and validate GraphQL endpoints.
• Experience testing fintech applications, blockchain networks, smart contracts, or cryptocurrency exchanges.

We Offer

• Health & Wellness: Medical Insurance in Ukraine and a Multisport program in Poland.
• Flexibility & Infrastructure: Flexible working hours with access to modern offices in Ukraine and Poland (Wroclaw).
• Equipment: The company provides all necessary high-end hardware.
• Growth & Support: English classes up to three times a week, alongside corporate Mentoring and Educational Programs.
• Contractor Support: Complete tax and accounting services handled for Ukrainian contractors.
• Time Off: All official holidays alongside paid vacation and sick days.
• Culture: Regular corporate activities (incredible parties, team buildings, sports, and tech events) combined with an advanced bonus system.

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

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.

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 · Remote · Full-Time

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

Location: Ukraine - remote, anywhere in Ukraine (candidate must be located in Ukraine)

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 Chief Operating Officer, 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 the Chief Operating Officer.

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

• AI-first by default.

AI-First Senior QA Engineer (Manual)

Ukraine · Remote · Full-Time

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

Location: Ukraine - remote, anywhere in Ukraine (candidate must be located in Ukraine)

Employment: Full-time, permanent

Seniority: Senior

Reports to: Technical Lead 

Works with: Product Analyst, Product Designer, Engineering team, Fleet of Agents

PropTech experience: Not essential; very good if you have direct or indirect experience

English: Advanced (B2+)

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 quality is verified by a human who knows exactly where agents fail, where specs lie and where the product breaks in real hands.

The role

This is the role that decides whether what we ship actually works  for humans and for the agents that built it.

You will report directly to the Chief Operating Officer, with short decision loops to founders and direct access to engineering.

This is a hands-on, manual-first QA role at the core of the delivery machine. Most of our code is written by AI agents against machine-readable specs. That makes human quality judgment more valuable, not less: agents pass their own checks and still ship broken flows, wrong edge-case behaviour and UX that technically matches the spec but fails the user. You are the last honest reader of the product before it reaches staging review and then customers on prod.

You will own manual testing end to end: exploratory testing, spec-based test design, UAT coordination, regression passes and release sign-off. You will test not just deterministic UI flows, but AI-driven behaviour  agent responses, RAG answers, document generation  where “expected result” is a judgment call, not an assert.

You will work side by side with the AI-First Product Analyst (who writes the specs you test against) and engineering (whose agents implement them). You will use our shared Claude Team / Cowork 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 QA tasks AI does well today (test-case generation, coverage analysis, log triage), which it does not (exploratory judgment, UX intuition, risk feel) — and how to combine both deliberately.

What you will own & do

AI-First Way of Working

• Daily, deep, native use of AI tools for test-case generation from specs, coverage gap analysis, bug report drafting, log and session triage, regression checklist upkeep.

• Treat AI tools the way an engineer treats their IDE: opinionated, tuned, integrated into every step of your workflow.

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

Manual Testing & Test Design

• Own manual testing end to end: exploratory sessions, spec & story-based test design, edge cases, negative paths, cross-role and multi-tenant scenarios.

• Convert machine-readable specs & stories with acceptance criteria into structured, traceable test cases and checklists — every requirement maps to a verification.

• Run deep exploratory testing where scripted coverage ends: real-world flows, messy data, weird devices, impatient users.

• Verify complex B2B2C surfaces: dashboards, role-based access, real-time data, payment flows, document generation, back-office tooling.

Testing AI-Driven Behaviour

• Test the non-deterministic layer: agent conversations, autonomously generated compliance documents — correctness, groundedness, tone, failure modes.

• Design and run structured evaluation of LLM outputs with the Analyst and engineering: treat AI output as something to be measured, not trusted.

• Hunt for hallucinations, prompt-injection surfaces, permission leaks across tenants and roles, and silent agent failures.

Quality Process & Release Ownership

• Own release readiness: regression scope, smoke passes, UAT coordination with stakeholders, GO/NO-GO input for every release.

• Write bug reports engineers (and agents) can act on without a follow-up question: environment, steps, expected vs actual, evidence, severity.

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

• Build the QA practice from scratch: process, tooling, test data, defect workflow in Jira — lightweight enough for startup speed, rigorous enough to trust.

What we are looking for

Must have

 4+ years of hands-on manual QA experience on web products, with senior-level ownership of quality for a product or major product area.

• 0 → 1 builder: comfortable being the first and only QA, setting up the practice yourself, working directly with founders and engineering — not joining an already-scaled QA org.

• Experience testing LLM-based features, chatbots, RAG systems or agent workflows — including designing evals or output rubrics.

• Daily, deep, native use of AI tools in your QA workflow: test generation, triage, analysis, documentation. You have a real, opinionated workflow built around them and can defend your choices.

• Excellent test design craft: from acceptance criteria to test cases, edge cases, negative scenarios and risk-based prioritization — structured, traceable, unambiguous.

• Strong exploratory testing instincts: you find the bugs no script would — and can explain how you found them.

• Sharp written bug reporting and strong verbal communication in English (C1+), under startup timelines, without losing rigor.

• Comfortable with complex B2B / multi-sided product surfaces: multi-tenant SaaS, role-based access, real-time data, payments, back-office tooling.

 Working knowledge of APIs and databases for verification: reading API responses (Postman or similar), basic SQL to check data behind the UI, reading logs.

Strong advantage (Nice to have)

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

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

• Test automation literacy (Playwright, Cypress or similar) — enough to direct agents that write automation, even if you don't write it daily.

Why this role

You will help build the first AI-native operating system for real estate in Dubai and define what quality means when AI agents write most of the code. Both are differentiators, both are hard and both are yours to own at the senior level.

• Genuine quality ownership — you build the QA practice from zero and hold the release bar. This is not a “execute someone else's test cases” role.

• Clear growth trajectory — this role evolves into AI-First QA Lead / Head of Quality as the team scales.

• Direct access to founders and the Chief Operating Officer — short decision loops, no middle management.

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

 AI-first by default — you will co-design how quality assurance works inside an AI-first delivery machine.

About the Role:

We are looking for a proactive and detail-oriented QA Engineer ( located in Europe) for a fintech project who can own the full testing lifecycle. This role is ideal for a specialist who is comfortable working independently, collaborating with developers and product teams, and ensuring high product quality from requirements to release, with hands-on commercial experience in Cypress test automation and API testing.

Responsibilities:

• Perform full-cycle testing: from requirements analysis to release validation;
• Design, write, and maintain test documentation (test cases, checklists, test plans);
• Conduct manual and automated testing of web applications;
• Develop and maintain automated test suites using Cypress;
• Perform API testing (Postman, Swagger, REST) for financial data and transactions;
• Identify, document, and track bugs (e.g., using Jira or similar tools);
• Perform regression, smoke, sanity, and exploratory testing;
• Collaborate closely with developers, product managers, and designers;
• Participate in grooming, planning, and sprint activities;
• Validate requirements and provide early feedback on potential issues;
• Support release processes and post-release verification.

Requirements:

• 4+ years of professional experience in QA (manual and automation combined);
• Commercial experience with Cypress for test automation;
• Practical experience in API testing (Postman, Swagger, REST);
• Understanding of QA methodologies, testing types, and software development lifecycle (SDLC);
• Experience with manual testing of web applications;
• Ability to write clear and structured test documentation;
• Experience with bug tracking systems (e.g., Jira, YouTrack, etc.);
• Understanding of client-server architecture;
• Basic SQL knowledge for data validation;
• Experience working in Agile/Scrum teams;
• Good analytical thinking and attention to detail;
• Nice to have: experience testing fintech/banking products, understanding of payment flows or financial calculations;
• English level: Upper- Intermediate or higher (written and spoken).

Requirements

• Proven experience managing the end-to-end recruitment process
• Strong candidate sourcing and screening skills
• Proficiency in LinkedIn Recruiter and other recruitment platforms
• Experience recruiting for various roles and seniority levels
• Strong communication and collaboration skills with hiring managers
• Experience conducting and coordinating candidate interviews
• Strong negotiation, communication, and time-management skills
• Ability to manage multiple vacancies and recruitment processes simultaneously
• Experience with ATS systems and recruitment metrics
• Strong analytical and problem-solving skills

We are looking for a hands-on Project Manager  who can bridge business needs, user requirements, product strategy, and technical execution.

This role is ideal for someone who enjoys working in a fast-moving startup environment, can quickly understand complex systems and APIs, translate ideas into clear product specifications, and use modern AI tools to accelerate product discovery, prototyping, documentation, and delivery.

The ideal candidate is highly adaptable, technically curious, detail-oriented, and comfortable owning work end-to-end — from gathering requirements and analyzing systems to creating prototypes, supporting development, preparing user documentation, and enabling go-to-market adoption.

Key Responsibilities

1. Product Discovery & Requirements Gathering

• Work closely with customers, stakeholders, business teams, and internal users to understand business needs and pain points.
• Gather, analyze, and document business and functional requirements.
• Convert business requirements into clear, actionable product requirements for engineering and design teams.
• Identify gaps, dependencies, edge cases, assumptions, and potential risks.
• Facilitate requirement discussions and drive alignment between business and technical stakeholders.
• Continuously refine requirements based on feedback, changing priorities, and new information.

2. Product Specifications & Documentation

• Create detailed product specifications, functional specifications, user stories, acceptance criteria, workflows, and feature descriptions.
• Clearly define expected system behavior, business rules, validations, user journeys, and edge cases.
• Maintain accurate and up-to-date product documentation throughout the development lifecycle.
• Ensure requirements are sufficiently detailed for engineering teams to implement without ambiguity.

3. AI-Assisted Prototyping

• Create rapid product prototypes and proof-of-concepts using Claude and other AI-powered tools.
• Use AI tools to transform requirements and concepts into interactive prototypes, workflows, UI concepts, and functional demonstrations.
• Experiment with different AI tools to accelerate product discovery, analysis, documentation, and delivery.
• Continuously explore new AI capabilities and identify opportunities to improve product development processes.

4. System & Technical Analysis

• Perform system analysis to understand existing architecture, workflows, integrations, dependencies, and limitations.
• Analyze existing features and systems to identify improvement opportunities.
• Understand how new features will interact with existing functionality.
• Work closely with developers and technical teams to clarify implementation approaches and resolve functional ambiguities.
• Analyze data flows, business processes, system dependencies, and integration points.

5. API & Integration Analysis

• Review and analyze API documentation, including endpoints, request/response structures, authentication, parameters, error handling, and integration requirements.
• Understand how internal and third-party APIs can support product requirements.
• Identify API limitations, dependencies, and potential integration risks.
• Translate API capabilities into clear product and functional requirements.
• Support engineering teams by providing clear documentation and context around API-related requirements.

6. User Guides & Product Enablement

• Create clear and practical user guides, feature documentation, FAQs, release notes, and internal documentation.
• Translate complex product functionality into easy-to-understand instructions for end users and internal teams.
• Work with support, sales, customer success, and other teams to ensure they understand new functionality.
• Keep documentation aligned with product releases and feature changes.

7. Go-to-Market & Feature Adoption

• Support go-to-market activities for new features and product capabilities.
• Translate product functionality into clear customer-facing value propositions and use cases.
• Work with marketing, sales, customer success, and other teams to support feature launches.
• Help develop feature adoption strategies, onboarding materials, release communications, and enablement content.
• Gather post-launch feedback and identify opportunities to improve adoption and user experience.

8. Agile Product Delivery

• Work closely with engineering, design, QA, and business teams throughout the product lifecycle.
• Participate in sprint planning, refinement, demos, reviews, and other product development activities.
• Clarify requirements during development and help resolve questions quickly.
• Validate completed features against requirements and acceptance criteria.
• Continuously prioritize work based on business value, customer impact, technical dependencies, and company priorities.

Required Skills & Experience

• Experience in Product Management, Business Analysis, Product Analysis, or a similar role.
• Strong ability to gather, analyze, and document business and functional requirements.
• Excellent understanding of software products, web applications, workflows, and system behavior.
• Ability to create detailed product specifications and user stories.
• Strong analytical and problem-solving skills.
• Ability to understand and analyze APIs and technical documentation.
• Experience creating prototypes or proof-of-concepts using modern tools.
• Hands-on experience with AI tools such as Claude, ChatGPT, and other AI-assisted productivity/development tools.
• Strong written and verbal communication skills.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Strong attention to detail without losing sight of the bigger product/business objective.

Startup Mindset

We are looking for someone who thrives in an environment where priorities can change quickly and roles are not rigidly defined.

You should be someone who:

• Adapts quickly to changing business and product requirements.
• Is comfortable working with ambiguity and figuring things out independently.
• Takes ownership rather than waiting for detailed instructions.
• Is willing to be hands-on across product, analysis, documentation, prototyping, and delivery.
• Learns new technologies and tools quickly.
• Is comfortable switching between strategic thinking and detailed execution.
• Can move quickly while maintaining a high standard of quality.
• Enjoys experimenting with AI and emerging technologies.
• Is proactive about identifying problems and proposing solutions.

• Can operate effectively in a dynamic, high-growth startup environment.

   

What Success Looks Like

In this role, you will be successful if you can take a business problem or product idea and independently move it toward execution by:

Understanding the problem → Gathering requirements → Analyzing the system → Defining the solution → Creating AI-assisted prototypes → Writing detailed specifications → Supporting development → Validating the feature → Creating user documentation → Supporting go-to-market → Driving feature adoption.

Ideal Candidate

The ideal candidate is a product thinker with strong business analysis capabilities and enough technical understanding to work comfortably with engineering teams.

You don't need to be a software developer, but you should be technically curious, comfortable reading API documentation and system flows, capable of understanding how software works, and willing to get hands-on with modern AI tools to accelerate your work.

If you enjoy turning ambiguous ideas into well-defined products and are excited about using AI to work faster and smarter, this role is for you.

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.

Trusted by 200+ companies, managing $150M+ in ad spend.

Scale faster. Grow smarter.

SBC Performance is looking for a Sales Development Representative to build and drive our outbound sales pipeline - from first contact to a booked, qualified meeting.

What You'll Do

• Work daily with lead lists prepared by our Research & Outreach Specialist, and reach out to decision makers via cold calls, LinkedIn, WhatsApp, Telegram, and email
• Run outbound cold calls: introduce SBC Performance, uncover needs, qualify the prospect, handle objections, and agree on a concrete next step
• Drive multichannel outreach and follow-up - combining channels systematically so no active prospect is left without a next step
• Qualify prospects across business/offer/vertical, traffic sources, GEOs, ad platforms, current setup and spend, goals, pain points, decision-making process, and timeline
• Book meetings with qualified prospects for the Business Development / Sales team, and hand off full qualification context
• Do light additional research when provided data isn't enough - finding alternative decision makers or contact channels within assigned companies
• Keep HubSpot fully up to date: lead status, activities, notes, tasks, qualification data, and SQL handoff
• Track your own results and report on outbound activity, conversions, SQLs, and pipeline at the weekly performance meeting

What We're Looking For

• 1+ year of experience in B2B outbound sales, SDR, BDR, Business Development, or Lead Generation
• Hands-on cold calling experience
• Practical experience with LinkedIn prospecting (LinkedIn / Sales Navigator)
• Experience working with HubSpot or another CRM
• Comfortable with high-volume outbound activity and managing many prospects/follow-ups at once
• Upper-Intermediate (B2+) English or higher - enough for cold calls, qualification, and business communication with international clients
• Nice to have: experience with international markets, background in Performance Marketing, AdTech, MarTech, Affiliate Marketing, or Digital Advertising, understanding of Meta/Google/TikTok/Bing advertising ecosystems, additional foreign languages

What We Offer

• Hybrid job in Prague/Warsaw or remote
• Competitive compensation
• Flexible working hours: we start our operation day between 9:00 – 11:00 CET
• All necessary equipment
• Paid vacation and sick leaves
• Educational support: reimbursement of certification, training, and a knowledge-sharing atmosphere
• Company events and multiple internal activities
• Open feedback and transparent direct communication

About the Role

We’re looking for a Senior Software Engineer to join a newly forming team that will own one of the most specialised and business-critical domains in our technology landscape — Game Engine.

This role sits at the intersection of engineering, game mathematics, platform, and compliance. You’ll work on the tools, frameworks, and services that enable our mathematicians and game teams to build, validate, run, and monitor game logic in production.

This position is about deep ownership of a very specific technical domain: game engines, mathematical packages, simulation data, RTP monitoring, round details, and integrations with games developed both internally and by external studios.

You’ll be part of a small, experienced team with a high level of responsibility. The impact of this work is direct: incorrect game logic, missing round details, or inaccurate RTP monitoring can affect game delivery timelines, business performance, and regulatory readiness.

If you enjoy working close to complex domain logic, reviewing technical implementations, understanding how games work under the hood, and owning systems where precision matters — this role will feel like home.

Key Responsibilities

• Own, maintain, and evolve Playson’s Game Engine domain
• Work on internal frameworks and libraries used by mathematicians to implement game logic and mathematical packages.
• Review and validate code written by mathematicians, ensuring quality, correctness, maintainability, and proper usage of internal frameworks.
• Contribute to the development and support of game engines used to run mathematical logic within our platform.
• Support integrations with external game studios by helping build wrappers and bridges between third-party game implementations and Playson’s platform.
• Work with data structures and protocols that connect game logic with frontend and backend systems.
• Contribute to RTP monitoring processes, including validation of production transaction data against simulation data and expected mathematical behaviour.
• Support and evolve tools used for mathematical review, simulations, data files, monitoring, and alerting.
• Implement and maintain round details logic required for regulated markets, ensuring that detailed game round information can be correctly provided to partners and regulators.
• Collaborate closely with mathematicians, backend engineers, platform teams, compliance stakeholders, and product representatives.
• Participate in code reviews and technical discussions to ensure a high engineering standard across the Game Engine domain.
• Investigate issues related to game logic, mathematical validation, monitoring, and engine behaviour.
• Participate in minimal on-call responsibilities related to the systems owned by the team, mainly around monitoring, alerts, and domain-specific incidents.
• Take ownership of a highly specialised area where quality, accuracy, and attention to detail are essential.

Requirements

• Strong software engineering experience, ideally in backend, game engine, gaming, gambling, betting, or simulation-heavy environments.
• Strong background in C++ and experience working with legacy C++ systems.
• Good understanding of software architecture, code quality, testing, debugging, and maintainability.
• Experience with mathematical models, probability-based systems, simulations, random generators, or RTP-related logic.
• Experience reviewing complex code and providing clear technical feedback.
• Ability to understand domain-specific logic and work with technical systems where business rules, mathematics, and engineering are closely connected.
• Strong problem-solving skills and ability to work with complex, non-standard technical challenges.
• Experience working with production systems where reliability, accuracy, and correctness are critical.
• Understanding of backend systems, APIs, data flows, and service-to-service communication.
• Ability to collaborate closely with non-engineering technical experts, especially mathematicians or domain specialists.
• Strong ownership mindset and willingness to become a key expert in a narrow but highly important technical domain.
• Product-oriented thinking, with an understanding that games are the core product and engineering decisions directly affect delivery, quality, and compliance.
• English communication skills sufficient for working in an international environment.

Nice to Have

• Experience in iGaming, gambling, betting, game development, or casino games.
• Experience working with game engines, mathematical engines, simulation tools, or game logic frameworks.
• Experience with Node.js/TypeScript.
• Understanding of regulated markets and compliance requirements in iGaming.
• Experience with ClickHouse or other analytical/columnar databases.
• Experience with monitoring, alerting, and production diagnostics.
• Experience with AI-assisted code review or automated validation tools.
• Knowledge of microservices architecture and distributed systems.
• Familiarity with Kafka, gRPC, Kubernetes, or AWS.
• Experience integrating third-party games, external studio products, or wrapper-based solutions.
• Ukrainian language skills would be a plus.

What We Offer

• Competitive Salary
• Quarterly Bonuses
• Unlimited Paid Time Off
• Unlimited Paid Sick Leave
• Remote & Flexible Working
• Private Medical Insurance
• Financial Support for Life Events
• Professional Development Budget
• International Exposure
• Regular Company Events

*Benefits may vary depending on location and contractual agreement

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