Jobs at Djinni

We are looking for a Chief BD Manager (miltech) for our client — a leading international company developing defense technology solutions in Ukraine.

The company is scaling production of interceptor drones and UAVs for the defense forces and is now building its commercial function in Ukraine from the ground up.

This is a role for an experienced business development professional ready to own the full cycle of work with military tenders and state procurement — from opportunity identification to contract signing.

In this role, you will be responsible for:

• Leading business development with the Ministry of Defense, military units, and defense procurement bodies.
• Managing the full cycle of military tenders and state procurement — from opportunity identification to contract award.
• Building and maintaining relationships with key decision-makers across the Armed Forces, Brave1, and related defense-tech institutions.
• Developing and executing a go-to-market strategy for the company’s interceptor and UAV product lines.
• Negotiating and closing contracts with military and governmental counterparties in compliance with Ukrainian procurement law.
• Representing the company at industry events, briefings, and negotiations with military and government stakeholders.
• Analyzing the market: procurement pathways, competitor activity, evolving needs of the defense sector.
• Working closely with engineering and production teams to align commercial commitments with delivery capacity.

Qualification criteria:

• Proven experience with military tenders and defense procurement processes in Ukraine.
• 2+ years of experience in business development within the military/defense sector.
• Strong understanding of the Ukrainian defense ecosystem, including the Ministry of Defense, Brave1, and procurement/codification procedures.
• Demonstrated track record of building relationships with military and governmental decision-makers.
• Strong negotiation, presentation, and stakeholder management skills.
• Basic English proficiency.

Nice to Have:

• Prior experience in a UAV, drone, or broader defense-tech company.
• Existing network within military units, Brave1, or defense procurement bodies.
• Experience with international grant programs or partnerships in the defense sector.

Working Conditions:

• Convenient office in the center of Kyiv.
• Direct engagement with the company’s leadership and its defense-tech portfolio.
• Competitive compensation aligned with market rates for this position.
• Opportunity to shape the commercial strategy of a rapidly scaling defense-tech business from an early stage.

Hi! 🙌

We are SAG7 Ventures, a Private Equity Investment Office with a portfolio of around 20 projects in AI, Social Discovery, Traffic, iGaming and FinTech.

We are looking for a Project Manager to join our team. The role focuses on our P2P crypto counterparty business. 🚀

What you will do:

• Coordinate multiple parallel projects and tasks, keeping track of deadlines and next steps.
• Coordinate day-to-day operations of the payment infrastructure and processes with payment providers.
• Reconcile payments and prepare reports on volumes and liquidity.
• Handle first-line communication and maintain relationships with payment providers (EMI/PSP).
• Source and collect proposals from new payment providers, run a first assessment of terms and prepare structured solution options.
• Research new exchanges and currencies, carry out initial due diligence and prepare conclusions.

• Support KYB/AML processes in cooperation with payment providers and crypto exchanges.

   

What we are looking for:

• Experience in the crypto or fintech industry.
• Hands-on experience working with payment providers (EMI/PSP) or crypto exchanges.
• Project management experience and the ability to independently run several tasks and projects at once.
• Understanding of how the P2P crypto business works.
• Understanding of KYB/AML processes.
• Confident use of Excel / Google Sheets.
• Experience with Jira or similar task management tools.
• Basic understanding of crypto regulation and willingness to deepen your expertise on the job.

• English at Upper-Intermediate (B2) level or higher.

   

Nice to have:

• Based in Prague. We prioritize candidates in Prague, but we are open to considering strong candidates from other locations.
• Experience in the P2P segment of crypto exchanges.
• Involvement in a licensing process or in obtaining crypto status in any jurisdiction.
• Experience with LATAM, African or Asian markets.
• Experience with high-risk industries and related compliance processes.

• Experience scaling payment infrastructure to new geographies, exchanges or currencies.

   

What we offer:

• Hybrid work format in Prague.
• Direct work in the crypto/fintech space and the chance to dive deep into international payment processes.
• Career growth and development: we always support our people in reaching their goals.

• 18 working days of annual leave and 5 sick days without a medical certificate.

   

Hiring process: Pre-screen interview → Interview with MD → Interview with CEO → Offer 🚀

If this sounds like you, send us your CV. We'd be glad to talk!

Join One of the Fastest-Growing Online Education Companies in the World

At ELVTR, we're transforming online education by connecting ambitious professionals with industry leaders from companies like Nike, Netflix, Google, Amazon, and more.

Since launching in 2020, we've grown into a global learning community with over 300 expert instructors, delivering more than 200 live online courses across 12 industries. To date, we've helped 22,000+ graduates worldwide gain the skills, confidence, and connections needed to advance their careers.

Now we're looking for an experienced Customer Retention Manager to help us build lasting relationships with our learners while maximizing customer satisfaction and long-term revenue. If you're passionate about customer experience, thrive in a fast-paced environment, and enjoy finding solutions that create value for both customers and the business, we'd love to meet you.

This is a full-time, remote role with a working schedule of 9:00 AM to 6:00 PM EST.

Why This Role Is Different

At ELVTR, customer relationships don't end after enrollment—they're just beginning. As our Lead Retention Specialist, you'll play a critical role in protecting the customer experience while driving sustainable business growth.

You'll take ownership of our retention strategy, helping customers find the best possible solutions while reducing refunds, recovering revenue, and improving long-term customer loyalty. Working closely with Sales, Finance, Customer Success, Billing, and Operations, you'll use data, empathy, and strategic thinking to continuously improve our retention processes and outcomes.

You'll Love This Role If You:

• Enjoy solving complex customer challenges with creative solutions
• Thrive in a fast-paced, KPI-driven environment
• Are an exceptional negotiator who can create win-win outcomes
• Love using data to improve processes and business performance
• Enjoy coaching others and sharing best practices
• Are highly organized and take ownership of your work
• Communicate confidently with customers and cross-functional teams
• Believe outstanding customer experiences drive long-term business success

What You'll Do

• Own the customer retention process, managing refund requests while maximizing retained revenue and delivering a positive customer experience
• Negotiate alternatives to refunds, including account credits, payment plans, partial refunds, course transfers, and other retention solutions
• Recover overdue installment payments by proactively engaging customers and resolving billing-related issues
• Partner closely with the Billing team to reduce payment defaults, chargebacks, and outstanding balances
• Analyze the root causes behind refund requests and payment failures, providing actionable insights to Sales, Product, and Operations teams
• Develop and continuously improve retention strategies, workflows, communication scripts, and internal processes
• Track and report key retention metrics, including refund rates, retention rates, recovered revenue, installment recovery, and chargeback prevention
• Handle escalated customer cases, making thoughtful, data-driven decisions that balance customer satisfaction with business objectives
• Coach and support the retention team by sharing best practices, reviewing customer interactions, and maintaining high communication standards
• Collaborate cross-functionally with Sales, Customer Success, Finance, Legal, and Operations to ensure a seamless customer experience
• Identify opportunities to automate retention processes and improve operational efficiency
• Take ownership of retention KPIs while testing and implementing initiatives that improve revenue recovery and reduce financial losses

What We're Looking For

• 3+ years of experience in Sales Retention, Customer Retention, Customer Success, or a related field, preferably in a senior or lead role
• Excellent English communication skills, both written and spoken
• Proven experience supporting customers in the US market
• Strong negotiation and objection-handling skills with a track record of reducing refunds and recovering revenue
• Experience managing refund requests, payment recovery, billing issues, and installment collections
• Ability to navigate difficult customer conversations with empathy while protecting company interests
• A data-driven mindset with the ability to analyze retention metrics and identify opportunities for improvement
• Strong ownership, problem-solving, and decision-making skills
• Excellent organizational skills and attention to detail
• Experience collaborating with Sales, Billing, Finance, Customer Success, and other cross-functional teams
• Previous leadership, mentoring, or process improvement experience is a strong plus

Nice to Have

• Experience in the online education or EdTech industry
• Experience in high-ticket B2C sales environments
• Previous experience leading or mentoring a retention team
• Familiarity with CRM platforms such as HubSpot, Salesforce, or similar systems
• Experience working with subscription or installment payment models
• Knowledge of billing operations, chargebacks, and payment recovery processes
• Experience analyzing customer retention metrics to drive business improvements
• Comfortable working in a fast-paced, performance-driven environment
• Experience collaborating across Sales, Finance, Product, and Customer Success teams
• Familiarity with AI-powered customer support or sales tools, including conversation intelligence platforms

What We Offer

• Competitive Compensation:Competitive salary,Performance-based bonuses,Opportunities for career advancement as ELVTR continues to grow globally
• Learn and Grow:Free access to ELVTR courses,Ongoing professional development opportunities,Career growth within one of the world's fastest-growing online education companies
• Remote-First Culture: Work from wherever you're most productive, Flexible and supportive work environment,Collaborative international team
• Health & Wellbeing:Gym membership reimbursement,Mental health support, Generous paid vacation allowance

Why Join ELVTR?

• Make an Impact:Every course you help create empowers professionals to build new skills, advance their careers, and unlock opportunities they never thought possible.
• Grow Your Career:We're committed to developing our people. As ELVTR continues to expand globally, you'll have opportunities to grow professionally, take on new challenges, and shape the future of online education.
• Join a Winning Team:Work alongside passionate educators, creators, marketers, and innovators who are committed to delivering world-class learning experiences and making education more accessible around the world.

Ready to Help Shape the Future of Online Learning?

If you're looking for more than just another customer retention role—if you want to build meaningful customer relationships, solve complex challenges, and make a measurable impact on both learners and business growth—we'd love to hear from you.

Apply today and become part of ELVTR's next chapter of growth.

ELVTR is proud to be an equal opportunity employer committed to creating a diverse and inclusive workplace for all.

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

N-iX is looking for Senior/Lead Data Engineer to join the team

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a Data / Analytics Engineer to support the client team. The role sits close to the data analysts and business stakeholders, with a primary focus on maintaining and extending the data pipelines and data models that power analytics and reporting. The core stack includes SQL, Airflow, Athena, AWS Data Lake, and AI-assisted engineering tools such as Codex.

The client is currently migrating away from DBT and Snowflake to the clients data platform. The destination cloud and data platform already exists and is operational, and the migration itself will be handled by a different team — so this is not an infrastructure or platform engineering role. Instead, we need an engineer who can understand analytics use cases, translate business requirements into robust data solutions, and work independently to get those solutions into production. Beyond the technical skills, we are looking for someone with a strong sense of ownership and engineering judgment: a person who does not simply execute a ticket or accept a blocker at face value, but actively clarifies unclear requirements, investigates problems, proposes alternatives when the obvious approach does not work, and involves the right people when decisions are needed.

Responsibilities:

• Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
• Design and maintain analytical data models, including fact and dimension models.
• Ingest and integrate data from different source systems into the AWS Data Lake.
• Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
• Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.
• Clarify requirements with business stakeholders rather than implementing ambiguous requests as-is.
• Ensure data quality through appropriate validation and testing, investigating data and pipeline issues and taking ownership of finding pragmatic solutions end to end.
• Use AI-assisted development tooling effectively while critically reviewing and validating generated solutions.

Requirements:

• Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
• Strong SQL skills.
• Experience with data modeling for analytics, including fact and dimension tables.
• Experience with workflow orchestration, preferably Airflow.
• Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.
• Experience with data validation, testing, and troubleshooting.
• Strong sense of ownership and engineering judgment: comfortable working with incomplete requirements, proactively seeking context, challenging assumptions when appropriate, and looking for practical solutions rather than stopping at the first blocker.
• Excellent verbal and written English skills, with clear communication across data analysts, engineers, and business stakeholders.

Nice to have

• Experience with data mesh architectures or working in a data mesh environment.
• Experience with marketplace, web/app, or digital analytics data.
• Experience with DBT and/or Snowflake.
• Familiarity with AI-assisted engineering tools such as Codex

N-iX is looking for a Senior Applied ML Engineer to support our client's Data Licensing team, which develops training datasets for frontier AI labs. You will evaluate and productionise existing ML models and services to deliver customer-requested metadata enrichment for data licensing opportunities, supporting the next generation of AI applications.

Responsibilities:

• Partner with the Principal Data Scientist and Principal Data Engineers, senior technical leaders and data scientists to implement and evolve model-evaluation and productionisation standards; independently own assigned enrichment workflows from evaluation through production delivery.
• Evaluate candidate models on representative content, using appropriate quality measures and threshold analysis to support selection and release decisions.
• Develop tested, maintainable Python inference components that conform to shared engineering frameworks, metadata contracts and deployment standards.
• Support ad-hoc metadata backfills by validating model outputs, estimating inference cost and throughput, and resolving model-specific processing issues.
• Work with data engineers to move enrichment components from representative evaluation to reliable corpus-scale execution.
• Assess model licensing, data-handling constraints and provenance requirements, ensuring enrichment outputs are reproducible and suitable for commercial use

Requirements:

• 6+ years of experience in applied ML, ML engineering, data science or software engineering, including hands-on experience delivering production ML inference systems.
• Experience evaluating pretrained or third-party ML models, defining appropriate quality metrics and operating thresholds, while balancing model quality against inference cost, throughput and operational complexity.
• Strong Python software engineering skills, including testing, packaging and dependency management.
• Hands-on proficiency with ML libraries and frameworks such as PyTorch, TensorFlow, scikit-learn or Hugging Face.
• Experience developing, deploying and maintaining high-performing, resilient and scalable ML inference systems across CPU and GPU environments in both AWS and GCP
• Experience troubleshooting and optimising model execution in distributed, cross-cloud workflows.
• Clear communication skills and experience building consensus with technical and commercial partners.

Nice to have:

• Model tracking and lifecycle tooling such as MLflow.
• Managed ML and batch-inference platforms such as SageMaker, Vertex AI or Databricks.
• Experience evaluating models for image, video or audio content.
• Experience with Snowflake, DBT or Clickhouse

N-iX is looking for Senior/Lead Data Engineer to join the team

About the client

Our client is a leading European online car marketplace, connecting car buyers and sellers across the continent. The platform serves over 30 million monthly users and operates across 18 countries, making it one of the largest and most trusted digital marketplaces for vehicles in Europe.

About the role

We are looking for a Data / Analytics Engineer to support the client team. The role sits close to the data analysts and business stakeholders, with a primary focus on maintaining and extending the data pipelines and data models that power analytics and reporting. The core stack includes SQL, Airflow, Athena, AWS Data Lake, and AI-assisted engineering tools such as Codex.

The client is currently migrating away from DBT and Snowflake to the clients data platform. The destination cloud and data platform already exists and is operational, and the migration itself will be handled by a different team — so this is not an infrastructure or platform engineering role. Instead, we need an engineer who can understand analytics use cases, translate business requirements into robust data solutions, and work independently to get those solutions into production. Beyond the technical skills, we are looking for someone with a strong sense of ownership and engineering judgment: a person who does not simply execute a ticket or accept a blocker at face value, but actively clarifies unclear requirements, investigates problems, proposes alternatives when the obvious approach does not work, and involves the right people when decisions are needed.

Responsibilities:

• Maintain, troubleshoot, and improve existing data pipelines, and build new pipelines and datasets based on analytics and business requirements.
• Design and maintain analytical data models, including fact and dimension models.
• Ingest and integrate data from different source systems into the AWS Data Lake.
• Build, deploy, validate, monitor, and, when necessary, backfill data pipelines.
• Partner with data analysts to understand their requirements and provide reliable, easy-to-use datasets.
• Clarify requirements with business stakeholders rather than implementing ambiguous requests as-is.
• Ensure data quality through appropriate validation and testing, investigating data and pipeline issues and taking ownership of finding pragmatic solutions end to end.
• Use AI-assisted development tooling effectively while critically reviewing and validating generated solutions.

Requirements:

• Hands-on data engineering experience building and operating production data pipelines, ideally within analytics-driven environments.
• Strong SQL skills.
• Experience with data modeling for analytics, including fact and dimension tables.
• Experience with workflow orchestration, preferably Airflow.
• Experience working with AWS-based data environments, particularly Athena and AWS Data Lake.
• Experience with data validation, testing, and troubleshooting.
• Strong sense of ownership and engineering judgment: comfortable working with incomplete requirements, proactively seeking context, challenging assumptions when appropriate, and looking for practical solutions rather than stopping at the first blocker.
• Excellent verbal and written English skills, with clear communication across data analysts, engineers, and business stakeholders.

Nice to have

• Experience with data mesh architectures or working in a data mesh environment.
• Experience with marketplace, web/app, or digital analytics data.
• Experience with DBT and/or Snowflake.
• Familiarity with AI-assisted engineering tools such as Codex

Inception-1 is a product company that creates AI-driven B2C products designed to help people feel more connected and less alone. Our mission is to build meaningful digital experiences that blend technology with empathy and to prove that technology can be both human and transformative.
GetHoney is our AI-driven product, and we’re looking for a Senior Product Engineer with a strong C#/.NET background and commercial frontend experience with React or another modern JavaScript/TypeScript framework.
This is not a feature-delivery role. We’re looking for an engineer who wants to understand the user problem, challenge solutions, make technical and product decisions, ship features end-to-end, and evaluate their impact after release.
You’ll be responsible for solving complex user problems and delivering meaningful product value end-to-end — from understanding the problem and shaping the solution to implementation, deployment, and post-release analysis.

If you want to own product outcomes, not just implementation, and build with an AI-first mindset, we’d love to hear from you!
 
Must-have skills:
 

• Proven ability to own and ship user-facing product features end-to-end — from problem definition and technical decisions to release and post-launch analysis.
• Strong hands-on experience with C#/.NET and building production backend systems.
• Commercial frontend development experience with React or another modern JavaScript/TypeScript framework.
• Experience working in a product company and building software used by real customers.
• Hands-on experience integrating LLMs and AI APIs into production applications.
• Hands-on experience with agentic engineering — designing and using AI-agent workflows, coding agents, and LLM-based automation in real development processes.
• Product development skills:
  • Strong grasp of product analytics;
  • Product features design and testing experience.
• Solid system design fundamentals. 

Key responsibilities for the first 6 months:
 

• Ship 15–20 meaningful product experiments.
• Implement agile but stable solutions for engaging conversational model, voice generation, interactive calls, etc.
• Improve retention and activation metrics.
• Design and maintain an experimentation framework (A/B testing, rapid iteration).
• Work across product, design, and research to turn insights into shipped features.
• Participate in user interviews and discovery sessions.
   

What makes you successful in this role:
 

• You have a strong product mindset and take ownership from idea to impact.
• You’re comfortable working in ambiguity and early-stage environments.
• You have high emotional intelligence and empathy for users.
• You care not only about shipping fast, but about shipping the right thing.
   

What we offer:

• Flexible work schedule and remote-friendly culture.
• Online services of a corporate doctor, and after the probationary period — health insurance in Ukraine.
• 20 working days of paid vacation per year, unlimited sick leave.
• All equipment necessary for work.
• Compensation for the best courses on the market, corporate online meetups and lectures, a large library, business and management schools for employees.

📋 Role Overview

We’re looking for a Middle QA Engineer to join our team working on a humanitarian transparency platform.

You’ll work closely with the QA Lead and the product team, combining manual testing with test automation. You’ll help maintain and improve QA processes, ensure reliable releases, and test web applications, APIs, and integrations between services. Part of the platform's data is also shared with a companion service through its own APIs — from a testing perspective, this is treated like any other backend integration: verifying request/response contracts and data consistency between services, not specialized protocol-level work.
 

🧙‍♂️In this role, you will

• Build the QA process from scratch together with the QA Lead — test strategy, documentation, tooling.
• Perform functional, regression, exploratory, and cross-browser testing.
• Build and maintain automated tests for key regression and smoke scenarios.
• Report, verify, and track defects through resolution.
• Verify APIs via DevTools / Postman — payload, response, status codes, error handling.
• Create and maintain QA documentation: test plans, checklists, test cases, regression reports, release notes.
• Document your work and support knowledge sharing within the team.
• Plan and run release regression cycles, prioritize coverage by risk under the timebox.
• Test integration points between the platform and other backend services it exchanges data with — request/response contracts, data consistency across the API boundary, and how failures/retries are handled.
• Extend existing API test coverage to new services and endpoints as they're added, verifying that data passed between services arrives complete and unchanged.

🎯You may be interested if

• You want to be truly responsible for quality on the product, not just execute tasks — building the QA process and keeping it in shape as the platform evolves.
• You're comfortable working across both manual and automated testing.
• You take ownership of quality end-to-end, not just finding bugs.
• You enjoy setting up QA processes and documentation from scratch.
• You're excited to collaborate in a remote, cross-functional environment.
• You value autonomy, clear communication, and working in a supportive, small-team setting.

👌 Role Requirements

• 2–3+ years of experience in QA for web applications.
• Strong manual testing skills: functional, regression, exploratory.
• Hands-on experience with test automation (Playwright, pytest, or similar).
• API testing experience (Postman or similar).
• Confident with browser DevTools.
• Ability to work independently within agreed priorities and escalate risks early.
• Familiarity with Agile/Scrum delivery methodology.
• Experience creating and maintaining QA documentation (test plans, checklists, reports).
• Familiarity with data-heavy interfaces.
• English proficiency at B2 level or higher.

Nice to have:

• Experience testing PWA or mobile web applications.
• Familiarity with CI/CD pipelines and integrating tests into them.
• Experience with performance or load testing basics.
• Experience with security testing basics.
• Background in projects involving data-heavy or dashboard-style interfaces.
• Experience organizing test cases in a test-case management system (e.g., QA Sphere, TestRail, or similar).
• Exposure to blockchain/Web3 concepts is a plus, not required.

💻 Working Conditions

• Employment Type: Full-Time
• This is a fully remote position with the entire team across Ukraine.
• 20 working days of paid vacation per year.
• The team collaboratively defines deadlines, ensuring a balanced and manageable workload. The focus is on delivering commitments on time.
• People over process — we have structure, but we don't let it get in the way of common sense.
• Transparency — we build a transparency platform, and we operate the same way internally. No hidden agendas, no politics.
• Quality as a culture, not a checkbox — we believe quality is everyone's responsibility, and you'll be driving it day to day together with the QA Lead.
• Flexible working hours to promote a healthy work-life balance.

🎯 Role Overview

We are looking for a Payment Product Manager to join our Payment Team.
In this role, you will be responsible for managing and improving integrations with third-party payment systems and providers to ensure seamless, secure, and efficient payment flows for our users.
You will work at the intersection of product, technology, and business — defining requirements, managing integrations, and ensuring a reliable and user-friendly payment experience across the platform.

⚙️ Your Tasks:

• Own and develop the payment product inside the cashier, focusing on usability, conversion, and stability.
• Define and prioritize product requirements for payment features based on business goals, user behavior, and data.
• Work closely with design and development teams on UX flows and cashier experience (deposit, withdrawal, confirmations, errors).
• Analyze key payment metrics (conversion, approval rate, drop-offs, success rate, funnel performance) and identify growth opportunities.
• Initiate and run UX research (user feedback, flow analysis, hypotheses validation) to improve payment journeys.
• Translate business and user needs into clear product specifications and documentation.
• Participate in testing and release validation, ensuring features work as expected from a user and product perspective.
• Collaborate with stakeholders (payments, finance, tech, business) to align priorities and roadmap.
• Support payment integrations at a product level (requirements, validation, acceptance), while technical implementation is handled by a dedicated specialist.

👤 Our criteria:

• 2+ years of experience as a Product Manager, ideally in payments, fintech, or iGaming.
• Hands-on experience working with cashiers or payment-related products.
• Strong understanding of payment funnels, UX flows, and conversion metrics.
• Experience working with product analytics and making data-driven decisions.
• Ability to formulate clear product requirements and documentation.
• Experience collaborating with cross-functional teams (design, tech, payments, business).User-focused mindset with attention to detail and impact.
• English level Upper-Intermediate or higher.

Your Strengths:

• You have a good balance of technical understanding and business perspective.
• You can turn complex payment flows into simple, reliable solutions.
• You’re proactive in identifying issues before they impact users.
• You value clarity, precision, and quality in both code and process.

💼 Our offer:

• We are global, we don’t stick to office or remote options only.
• We value work-life balance and start anytime from 8 to 11, with flexible lunchtime.
• We trust each other and provide unlimited vacation days and sick-leaves.
• We support our people and provide relocation options for team members, who are interested.
• We encourage growth and cover 50% of learning expenses.
• We hold yearly performance reviews to help our team members grow and reach new heights, and reward results with regular performance bonuses.
• We believe in potential and prefer to promote internally, giving everyone a chance to prove themselves, and building our company around talents above anything else.
• We are small enough to hear the opinion of every team member, and already big enough to act on the best ideas — an opportunity to have a visible and immediate impact.
• We celebrate our team with corporate gifts and thoughtful appreciation throughout the year.

Payment Analyst

We are looking for a Payment Analyst who will be responsible for tracking, calculating and reconciling all payment-related financial data.

The main responsibility of this role is to maintain accurate calculations of payment processing costs, refunds, chargebacks, alerts, PSP fees, reserves and settlements, and ensure that all payment-related expenses are correctly reflected in the company's financial reporting.

This role is similar to a financial accountant focused on payment processing.

The ideal candidate should be comfortable working with large amounts of transaction data, Excel / Google Sheets and reports from multiple PSPs and payment providers.

Experience with payment processing is a strong plus, but we are also open to strong financial analysts or accountants who are willing to learn the specifics of the payment industry.

Key Responsibilities

1. Payment Financial Accounting

Track and calculate all financial data related to payment processing, including:

• Payment volume.
• Number of transactions.
• Processing fees.
• PSP fees.
• Gateway fees.
• MDR.
• Refunds.
• Refund fees.
• Chargebacks.
• Chargeback fees.
• Chargeback alert fees.
• 3DS-related fees.
• Rolling reserves.
• Other payment-related expenses.
• PSP settlements and payouts.

The main goal is to ensure that every payment-related cost is correctly calculated and included in the financial model.

2. Refund & Chargeback Calculations

Maintain accurate calculations for:

Refunds:

• Refunded transaction amount.
• Refund fees.
• Non-refundable processing fees.
• Related costs where applicable.

Chargebacks:

• Chargeback transaction amount.
• Chargeback fees.
• Alert fees.
• Other related costs.

The analyst should calculate the total financial impact of refunds and chargebacks rather than simply recording their number.

3. Payment Fees & Commissions

Track and calculate all commissions and fees charged by PSPs and payment providers.

This includes:

• Fixed transaction fees.
• Percentage-based processing fees.
• MDR.
• PSP commissions.
• Gateway fees.
• Refund fees.
• Chargeback fees.
• Alert fees.
• Other provider fees.

💪 Vytivka is a young brand of small-group author trips for people who want to explore again: hikes, canyoning, surfing, local food, campings, van trips, board games by the fire. Groups of up to 8, structure underneath, space for spontaneity on top.

We just closed our test year with a Ukrainian audience and are now moving to an international, English-speaking one.
 

The challenge
From now until spring and further, we need content that turns followers into warm, ready-to-book participants. Social media is the main driver of our sales, so this role directly shapes the business. We want someone who will take full ownership of this process, run lots of A/B tests with content and find the formats that actually work, not just post on a schedule.
 

What you'll do
🧭 Week 1: answer the key strategy questions with the founder (platforms, positioning, what converts). Instagram is live now, and TikTok, Threads and YouTube Shorts are likely next
🎬 Then run the strategy: content plan, ideas, scripts, some shooting, editing, publishing
🧪 Test constantly: A/B tests of hooks, formats and topics, and double down on what works
📊 Analytics, tests, regular reports
🌍 Move our content from Ukrainian to English
🤝 Work directly with the founders

What we're looking for
✅ 2–3+ years of proven SMM/content experience (travel, outdoor or community brands are a plus), with a portfolio
🧪 An analytical mindset: you test, measure and look for working connections between content and sales
🤖 Strong daily use of AI tools to speed up ideation, editing, design and analytics
🎥 Short-form video editing, content plan creation and publishing skills
🎨 Design skills in Canva or Figma, or a strong ability to work with AI design tools
🇬🇧 Goooood English
⛰️ Love for mountains, travel and active life
💪 Ownership, responsibility and a sense of humour with fun

What we offer
💬 Direct line to the founders and real impact on a growing brand
🌐 Remote, flexible
💰 Compensation is open for discussion
🏔️ Join our trips on special terms as part of the team
 

Special terms for the right person
We're ready to offer something better than a standard salary: a share of the revenue from participants who join through your organic content. The more people you bring in, the more you earn. The flip side is that organic growth is the core of this role. If it doesn't start delivering quality results, we won't continue working together.
 

Hiring process
Fast: a call with the founders and, possibly, a short test task.

To apply 

Start your message in the text field with what our brand name means to you, and add a couple of lines on why you're a match for us ❤️
Applications without these won't be reviewed 🤷‍♂️

Job Description

• 4+ years in DevOps / DevSecOps or software engineering with a strong security focus.
• Hands-on with CI/CD tooling (e.g. GitLab CI, GitHub Actions, Jenkins, Azure DevOps).
• Security scanning in pipelines: SAST, DAST, SCA, secrets scanning (e.g. Semgrep, Snyk, Trivy, OWASP ZAP).
• Infrastructure-as-Code (e.g. Terraform) and IaC security.
• Containers and Kubernetes security (Docker, K8s, image scanning, hardening).
• Cloud platforms (AWS / Azure / GCP) and cloud security fundamentals.
• Secrets management (e.g. HashiCorp Vault, cloud KMS) and IAM basics.
• Scripting and automation (Python, Bash) and Git.
• Familiarity with standards and frameworks: OWASP, NIST, CIS Benchmarks, ISO 27001.
• Understanding of and hands-on experience with different LLMs; ability to build AI agents; and knowledge of embedding LLMs into the SDLC and pipelines.
• Strong Linux skills (administration, hardening, command line, shell scripting).

• Nice to have: certifications (e.g. CKA/CKS, AWS/Azure Security, CISSP); pentesting or vulnerability-management exposure.

   

Job Responsibilities

• Build and maintain secure CI/CD pipelines; embed security gates (SAST, DAST, SCA, secrets scanning) into the build.
• Automate security testing and policy checks across the SDLC (shift-left).
• Implement Infrastructure-as-Code (IaC) security and secure baseline configuration.
• Manage secrets, keys and credentials (vaulting, rotation) across environments.
• Secure containers and Kubernetes (image scanning, hardening, runtime policies).
• Set up security tooling and route findings into developer workflows and dashboards.
• Define and enforce policy-as-code guardrails; track exceptions and drift.
• Support vulnerability management: triage, prioritize and follow remediation through pipelines.
• Work with developers and architects to embed security by design.
• Monitor, log and respond to pipeline and cloud security events; support incident response.
• Contribute to AI-assisted automation (LLMs/agents) for security tasks in the pipeline.
   

Department/Project Description

An enterprise technology group is building a dedicated security validation team focused on vulnerability assessment and security testing across the group's products and systems. The team runs structured testing campaigns: penetration testing, vulnerability discovery and triage, secure code review, and building automated test suites to make the process repeatable at scale.
The team also gets early access to specialized AI models and evaluates how they can accelerate security testing - an area we're actively investing in, though the core of the work remains hands-on security engineering. Scope covers internal systems as well as business-unit products across the group, agreed campaign by campaign. The team starts small and scales into a permanent capability.

We're an early-stage product company building an AI-powered analytics platform for the iGaming industry. Users get answers from their data in plain English — an LLM turns questions into validated SQL over a large data warehouse — alongside a set of analytics dashboards and data pipelines. It's live in production.

You'd be our first dedicated engineer, working directly with a technical founder (product) and an experienced CTO (architecture + code review) — with a real path to Tech Lead as the team grows. You won't be flying solo, and you'll help shape the architecture, not just maintain it.

What you'll do

• Build and ship features across the backend and the dashboard.
• Write correct, performant SQL against a large Postgres warehouse — the numbers drive real decisions.
• Extend the LLM→SQL pipeline and the analytics APIs behind the product.
• Own reliability, testing, and deploy stability as we scale.

• Maintain and extend the React / TypeScript front end.

   

Stack

• Backend: Python 3.12 + FastAPI (async, SQL-first with asyncpg — no ORM).
• Data: large Azure PostgreSQL warehouse (tens of millions of rows) + nightly aggregation pipelines.
• AI: Anthropic Claude (natural-language → SQL, agent workflows).
• Frontend: React 18 + TypeScript + Vite, shadcn/ui + Tailwind, TanStack Query, Recharts.
• Infra: Azure, Redis, Docker, GitHub Actions.

Note: the data-science/ML models are owned by the founder — you won't build or maintain those.

You'll thrive here if you have

• Strong SQL and relational-DB skills (Postgres a plus) — the single most important thing.
• Solid Python, ideally with an async framework (FastAPI).
• Good React + TypeScript.
• A correctness-first instinct for data, and the ability to pick up a fast-built codebase and make it solid.

• Comfort with cloud + CI/CD (Azure a plus) and Docker.

   

Nice to have

• LLM app experience (Anthropic/OpenAI, NL→SQL, RAG).
• Data engineering / BI / warehousing background.
• iGaming, fintech, or marketplace domain experience.

Why join

• A live, revenue-generating product — early enough to shape it.
• A clear growth path to Tech Lead.
• Modern stack: large data warehouse + production LLM pipeline + polished React app.
• Real support: a technical founder on product, an experienced CTO on engineering.

About Us

ElevateOS is the all-in-one operating system for multifamily communities that combines a custom resident application and property management hub with hotel-style concierge and on-demand services, smart home integrations and management features. Since 2014, we've helped residents love where they live, and property teams run smarter. As of now, we power 600+ buildings nationwide and continue to grow through both technology innovation and strategic acquisitions. We are not just a software company, we are in the business of making people feel at home.

About the Role
We're looking for a technically strong Senior QA Engineer who combines solid manual testing expertise with hands-on test automation skills. You'll own quality across ElevateOS: our resident mobile app, property management web platform, APIs and smart home integrations.

We believe that with today's AI tools, a technically skilled QA engineer can build and scale automated end-to-end coverage much faster than before, and that's exactly what we need you to do.

How you'll start

• Onboard to the product and team
• Test 1-2 epics manually to learn the domain and key user flows
• Move on to designing and building automated E2E test scenarios, keeping manual testing focused and efficient so automation keeps moving

What technologies do we use?

Our primary technology stack revolves around JS. We use React for Front-end, Node.js for Backend and React Native for mobile development. All of our projects run on TypeScript, built by Docker and tested with Jest and react-testing-library.

What skills are essential to us?

• 4+ years in QA, at least 2 of them at a senior level
• Strong manual testing skills: web, mobile, API and requirements testing
• Hands-on experience building and maintaining automated E2E tests (Playwright, Cypress, WebdriverIO or similar)
• Working knowledge of JavaScript/TypeScript: you can read, write and debug test code
• Active use of AI tools (e.g. Claude, Copilot, Cursor) to generate, refactor and maintain test cases and automation code
• Solid knowledge of testing methodologies and test design techniques
• Experience with API testing tools (Postman or similar), browser DevTools and Git
• Clear test documentation and bug reports
• Upper-intermediate English or higher

Good to have

• Mobile automation (Detox, Appium, Maestro)
• Running tests in CI/CD (CircleCI, GitHub Actions)
• Basic SQL
• Experience testing IoT or smart home integrations

What will your responsibilities include?

• Designing, building and maintaining automated E2E test scenarios for web and mobile
• Using AI tools to speed up test creation and grow automation coverage
• Analyzing requirements and raising questions early
• Manual and exploratory testing of new features where needed
• Verifying multi-device and cross-platform consistency
• Helping shape the QA automation approach and integrating tests into CI
• Taking part in planning and giving quality-focused feedback to the team