Jobs at Djinni

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.

Для нашого партнера – банка з іноземним капіталом шукаємо Head of User Acquisition, який/яка очолить напрям залучення нових клієнтів на продукт кредитної картки. Ваша мета — масштабувати клієнтську базу через ефективні digital-канали, покращувати конверсію від першого контакту до оформлення й активації картки та забезпечувати прибутковість залучення.

Ця роль для Вас, якщо Ви вмієте перетворювати performance-маркетинг на керований канал зростання, знаходити точки втрати конверсії та масштабувати залучення клієнтів із фокусом не лише на кількості заявок, а й на активації карток та економічній ефективності.

Київ, правий берег, поряд з метро, гібрид перші 3 місяці, потім ремоут. Офіційне працевлаштування. Бронювання можливе

ОСНОВНІ ЗАВДАННЯ

• Розробляти й реалізовувати стратегію залучення клієнтів на кредитні картки.
• Масштабувати performance-канали: paid search, paid social, affiliate, app acquisition і партнерства.
• Оптимізувати воронку оформлення картки: від рекламного контакту та заявки до проходження KYC, активації й першого використання продукту.
• Керувати acquisition-бюджетом, оцінювати ефективність каналів за CAC, CPA, conversion rate, activation rate, LTV та ROMI.
• Формувати й перевіряти growth-гіпотези, проводити A/B-тести та аналізувати результати кампаній і клієнтських когорт.
• Керувати командою та підрядниками, взаємодіяти з Product, Analytics, CRM, Risk, Compliance й IT.
• Забезпечувати якість залучених клієнтів, окупність маркетингових інвестицій і відповідність кампаній регуляторним вимогам.

ЩО ДЛЯ НАС ВАЖЛИВО

• Від 5 років досвіду в User Acquisition, Growth або Performance Marketing, з яких щонайменше 2 роки — на керівній позиції.
• Практичний досвід управління платними каналами, маркетинговими бюджетами та масштабними digital-воронками.
• Досвід у fintech, банкінгу або іншому бізнесі з великим потоком клієнтських заявок.
• Розуміння attribution, продуктової аналітики, unit economics та оптимізації конверсій.
• Досвід управління командою й роботи з кросфункціональними стейкхолдерами.

БУДЕ ПЕРЕВАГОЮ

• Досвід залучення клієнтів на кредитні картки, кредитні або інші банківські продукти.
• Практика запуску mobile acquisition, digital onboarding, referral чи партнерських програм.
• Робота з GA4, Amplitude, AppsFlyer, Adjust, Firebase, BI-інструментами або SQL.
• Розуміння KYC/AML, вимог compliance та специфіки реклами фінансових продуктів.

Будь ласка пишіть, відповім на ваші питання по вакансії!

Для нашого партнера - один із лідерів аграрного сектору України шукаємо розробника для розвитку та доопрацювання ERP-системи "IT-Enterprise" під потреби агробізнесу. Ви працюватимете над автоматизацією виробничих і облікових процесів, розробкою нового функціоналу та інтеграцією корпоративних систем.

Досвід роботи з ERP системою"IT-Enterprise" є обов’язковим. 

Бронювання! Гібрид, практично ремоут, офіс в Києві, офіційне працевлаштування обов’язкове, відпустка 31 день.

ЩО МИ ОЧІКУЄМО:

• Досвід розробки, налаштування ERP-системи "IT-Enterprise" від 2 років, впевнене володіння C#/.NET і готовність працювати з цією ERP-платформою.
• Практичні навички роботи з SQL і реляційними базами даних, написання та оптимізації запитів.
• Розуміння ERP-систем, автоматизації бізнес-процесів і принципів системної інтеграції.
• Уміння аналізувати бізнес-вимоги та перетворювати їх на технічні рішення.

ЩО ВИ БУДЕТЕ РОБИТИ:

• Розробляти й розширювати функціонал ERP систему "IT-Enterprise" для агронапрямку.
• Автоматизувати виробничі, операційні та облікові процеси.
• Працювати з SQL, підтримувати й оптимізувати наявні рішення.
• Інтегрувати ERP із зовнішніми та внутрішніми корпоративними системами.
• Аналізувати запити користувачів, тестувати доопрацювання та супроводжувати їх впровадження.

БУДЕ ПЕРЕВАГОЮ:

• Досвід роботи в агробізнесі та розуміння процесів рослинництва.
• Автоматизація обліку земель, техніки, ТМЦ і виробничих операцій.
• Участь у проєктах цифровізації бізнес-процесів та інтеграції корпоративних систем через API.

Якщо Ви маєте досвід роботи з "IT-Enterprise" або сильну експертизу в C#/.NET і хочете розвивати ERP-рішення для агробізнесу, ця роль дасть Вам можливість впливати на автоматизацію реальних виробничих процесів.

Основні обов’язки

1. IFRS 9: підготовка фінансових розрахунків і звітності відповідно до вимог IFRS 9, зокрема розрахунок очікуваних кредитних збитків (ECL).
2. Cash Flow: формування, аналіз і прогнозування грошових потоків компанії.
3. P&L та EBITDA: підготовка звітів про прибутки та збитки, розрахунок EBITDA й аналіз фінансових результатів.
4. Ліквідність і контроль залишків на рахунках: щоденний контроль залишків коштів на банківських рахунках, оцінка достатності коштів для виконання зобов’язань і планування потреби у фінансуванні.
5. Бюджетування: розробка бюджету компанії, контроль його виконання та аналіз відхилень фактичних показників від планових.
6. Платіжний календар: формування та ведення платіжного календаря, планування майбутніх надходжень і платежів.
7. Участь у бізнес-плануванні: підготовка фінансової частини бізнес-плану, прогнозів і розрахунків.
8. Афілійовані звірки: проведення фінансових звірок з афілійованими компаніями (intercompany reconciliations).
9. DebiCheck: контроль процесу списання коштів через DebiCheck, аналіз результатів списань і звірка відповідних операцій.
10. Оптимізація витрат: аналіз структури витрат компанії, виявлення можливостей для їх скорочення та підготовка пропозицій щодо оптимізації.

11. Нарахування заробітної плати: розрахунок і нарахування заробітної плати співробітникам Saltera.
    
    
    Вимоги до кандидата

    1.Англійська мова — не нижче рівня B2.

    2.Досвід роботи у сфері фінансів, фінансового планування або фінансового обліку.

    3.Практичні навички роботи з Cash Flow, P&L, EBITDA та бюджетуванням.

    Розуміння IFRS 9.

    4.Навички контролю ліквідності, залишків на рахунках і планування платежів.

    5.Упевнене володіння Excel.

    6.Буде перевагою: досвід роботи з Power BI.

Вмієш знаходити профітні зв'язки та масштабувати об'єми у TikTok Gambling — welcome to the team!

Пропонуємо:
• можливість швидкого кар'єрного зростання Team Lead
• власну команду дизайнерів (UGC/motion/static/deepfakes)
• Tier 1–3 офери від ТОП-рекламодавців
• повну свободу ресурсів (бюджети, розхідники, капи)
• Full Remote, гнучкий графік і жодної бюрократії

Що важливо:
• досвід з TikTok Ads у Gambling
• вміння працювати з бюджетами від $1000/день
• зв’язки, що працюють на профіт та об’єм

Хочеш масштабувати профіт — пиши)

ASTRAL — команда з 2+ роками досвіду у Gambling. Ми забрали всю рутину на себе, щоб ти фокусувався тільки на результатах.

Remote / офіс Варшава

По умовам:

➙  Ставка + бонусна сітка, вище за ринкову

➙  Власний фарм відділ, який дозволяє не думати про акаунти

➙  Широкий пул PWA, Android та iOS-додатків

➙  Робота з топовими оферами на ринку

➙  Дизайн відділ (UGC/motion/static/deepfakes/creatives with actors)

➙  Можливість швидкого зростання до Team Lead

Наші очікування:

➙  Досвід з FB Gambling від 1 року

➙  Вміння працювати з бюджетами від $1k daily

➙  Зв’язки, що працюють на профіт та об’єм

Готовий обговорити деталі — пиши)

Для свого партнера- української Def-Tech компанії шукаємо R&D Project Manager (Hardware & Engineering), який координуватиме розробку технічних продуктів і допомагатиме інженерній команді ефективно проходити шлях від формування вимог до створення та випробування прототипів.

Ця роль підійде фахівцю, який уміє поєднувати системне планування, управління командними процесами та комунікацію між інженерами, замовниками й іншими стейкхолдерами.

Бронювання! 

Київ (Вишневе),  офіс, Пн-Пт 09-18.00, компанія - резидент Дія Сіті, офіційне працевлаштування

ЩО МИ ОЧІКУЄМО:

• Від 2 років досвіду управління технічними проєктами або командами у сферах MilTech, robotics, UAV/UGV, automotive, aerospace, мікроелектроніки чи суміжних галузях.
• Розуміння життєвого циклу розробки технічного продукту, зокрема створення та тестування прототипів.
• Навички планування етапів проєкту, декомпозиції задач, управління пріоритетами, строками, ресурсами та ризиками.
• Практичний досвід роботи з інструментами управління проєктами, бажано Jira та Confluence.
• Розуміння Agile, Scrum, Kanban та/або Waterfall і вміння добирати відповідний підхід до роботи.
• Сильні комунікаційні й організаційні навички, здатність структурувати інформацію та координувати взаємодію між технічними командами й стейкхолдерами.

ЩО ВИ БУДЕТЕ РОБИТИ:

• Планувати проєкти, координувати етапи розробки, контролювати строки, пріоритети та виконання домовленостей.
• Організовувати командну роботу, підтримувати прозорість задач і робочих процесів у Jira/Confluence.
• Збирати й уточнювати вимоги замовників, узгоджувати очікування та допомагати команді формувати зрозумілий план реалізації.
• Модерувати технічні обговорення, забезпечувати обмін інформацією між інженерами та іншими учасниками проєкту.
• Координувати підготовку й проведення лабораторних випробувань прототипів разом із технічною командою.
• Відстежувати ризики та прогрес, готувати звітність щодо статусу проєктів і результатів розробки.

БУДЕ ПЕРЕВАГОЮ:

• Досвід роботи в MilTech або компаніях, що розробляють фізичні продукти чи складні інженерні системи.
• Знання стандартів управління якістю, зокрема ISO 9001 та AQAP, якщо вони застосовні до проєктів.
• Практичний досвід виведення технічних продуктів на міжнародні ринки.
• Англійська мова для ділового листування та роботи з технічною інформацією.

Якщо Вам цікаво координувати складні інженерні задачі, працювати на перетині розробки та управління й бачити реальний результат роботи команди у вигляді функціональних прототипів, ця позиція дасть Вам можливість безпосередньо впливати на перебіг і результати R&D-проєктів.

Будь ласка пишіть, відповім на ваші питання про вакансію!