Jobs at Djinni

We are looking for a Senior DevOps Engineer (Network Focus) with a strong hands-on engineering background to join an international product development team for a UK-based client in the RegTech sector. This is a great opportunity for an experienced professional who wants to work on cutting-edge, highly secure cloud network architectures in a fully remote, flexible environment.

Our client is a leader in financial compliance technology, building a cloud-native platform that helps businesses manage, analyze, and secure communication data across multiple channels.
 

What You'll Do:

• Support, maintain, and scale existing cloud infrastructure on Azure with a strong emphasis on network topology, reliability, and security.
• Design, configure, and manage complex Azure networking architectures (VNETs, ExpressRoute, VPN Gateways, Traffic Manager).
• Implement and maintain Infrastructure as Code using Terraform for both compute and advanced networking resources.
• Configure and maintain network security, application protection, and traffic management (including integration with F5 solutions).
• Build and support Kubernetes clusters with a deep focus on container networking (CNI), ingress/egress controllers, and secure cloud networking.
• Participate in the refactoring and modernization of infrastructure to meet strict financial compliance and network isolation standards.
• Configure, optimize, and support CI/CD pipelines for application delivery.
• Set up and maintain deep network monitoring, logging, and alerting systems (e.g., Azure Network Watcher).
• Troubleshoot complex infrastructure and routing issues, and participate in incident resolution.
• Collaborate closely with development teams to ensure smooth deployments and stable, secure environments.
   

Requirements:

• 3+ years of experience as a Senior DevOps with deep, hands-on experience in Azure.
• Advanced knowledge of networking concepts (VNET peering, firewalls, load balancing, routing protocols, DNS, ExpressRoute, VPNs).
• Proficiency in Infrastructure as Code tools, specifically Terraform, for provisioning network and cloud infrastructure.
• Proficiency in Windows and Linux OS.
• Strong understanding of cloud and network security architectures (Zero Trust, NSGs, WAF).
• Experience with containerization and their network integrations (Docker, Kubernetes, Azure Container Apps).
• Knowledge of CI/CD pipelines and automation tools (preferably Azure DevOps).
• Hands-on experience with monitoring network health and infrastructure (Azure Monitor, Network Watcher, etc.).
• Experience in cloud cost management and optimizing network traffic costs.
• Strong problem-solving skills and a proactive mindset in diagnosing complex network-related incidents.

• Strong communication and collaboration skills.

   

Nice to Have:

• Active Azure Networking Certifications (e.g., AZ-700: Designing and Implementing Microsoft Azure Networking Solutions) are highly desirable.
• Hands-on experience with F5 Networks (BIG-IP, LTM, APM, or Advanced WAF) would be a massive advantage.
• Experience with compliance frameworks (e.g., ISO 27001, SOC 2)
   

What We Offer:

• Fully remote work with a flexible schedule, aligned with the project manager.
• A friendly, professional team and a supportive atmosphere.
• Direct collaboration with an English-speaking UK client 
• 20 paid vacation days and 5 paid sick days per year.
• Company events and opportunities for professional growth.
   

If you're an experienced Senior Devops looking for a great product team where you can work on cutting-edge cloud solutions, collaborate with top professionals, and contribute to an innovative SaaS platform, we'd love to hear from you! 

We are currently looking for a Senior Voice AI Engineer, Evaluation and Reliability to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

Senior level, and we mean it. You would own the evidence that this system is safe to put in front of

patients, on your own judgement, and tell us when the answer is no. That isn't a job we can hand to

someone still learning what to measure.

You would not be building a voice stack. We use a third-party voice platform that already handles the

telephony, the speech recognition and synthesis, and the knobs for end-of-speech detection and

interruption. What it does not do is tell us whether any of that is working well enough for patients, and it

gives us no way to check that a change hasn't made things worse. That's the job.

So you'd own the conversation and the evidence about it: how the assistant behaves when a caller

interrupts, corrects themselves or won't answer; how fast the whole thing responds once a round trip to

our backend is in the loop; and the body of test cases we run before every change.

You need

• To have run a phone or voice assistant that took real calls from real users, and to be able to tell us what its response time was and how you measured it. Having built the audio pipeline yourself is fine but not the point — we care that you know what to measure and what good looks like.
• To have tuned a voice system rather than only shipped one: end-of-speech detection, barge-in, how long to wait before assuming the caller has finished. You'd be doing this against a vendor's settings rather than your own code, and their own documentation says clean barge-in can't be guaranteed on phone audio.
• To know what happens to speech recognition accuracy when the audio comes down a phone line instead of a good microphone, and to have measured it rather than read about it.
• A way of testing conversation changes that doesn't rely on listening to a few calls and hoping. This is the centre of the role. Whatever form it took — a replay harness, a scored scenario set, anything — we want to hear how it worked and where it let you down.
• Enough Python to build that harness and the tooling around it.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Having worked against a closed voice platform, with the frustrations that brings, rather than only your own stack.
• Telephony background: SIP , WebRTC, Asterisk, Twilio or similar. Useful for knowing why calls sound the way they do, though you would not be running any of it.
• Work with health data, or any other field where getting it wrong has consequences.
• German, though we're not counting on it.

You don't need

• To speak German.
• To have built streaming audio infrastructure, a turn-taking system or a speech pipeline. The platform does that, and rebuilding it isn't on the table.
• To know PHP or anything about our existing backend. Another team builds the endpoints you'd call.
• To have trained a model from scratch.

We are currently looking for a Senior AI Platform and Model Operations Engineer to join a professional German-based product company team that designs innovative eHealth solutions for hospitals.

You will work on a stable healthcare product.

You'd own the models and the platform around them, serving every channel we put in front of a patient.

The phone assistant is first because it's already underway, but it isn't the point of the job. Next is a chat assistant in the patient portal that can answer questions and walk someone through booking an

appointment, and after that whatever channel comes along.

The thing you're actually building is one internal API that every channel calls, so that the rules about what a patient can do live in one place instead of being written three times, slightly differently. The phone assistant and the web chat are two front ends onto the same thing.

Alongside that: moving off the vendor. Right now we pay per minute for speech recognition and language models, and within about a year we want to be running them ourselves — because we're dealing with

patient data, and because we don't want a vendor swapping a model underneath us without telling us.

To be clear about scope: we mean serving open-weight models and adapting them to our domain. We don't mean training a model from scratch.

One thing we want to be direct about. We are not looking for someone to build what we've already decided on. We don't yet know whether running these models ourselves is the right call — we don't have an accuracy figure on real German phone audio, and we don't have a proper cost comparison. Your first job is to produce both, and if they say we should keep paying the vendor for another year, we need you to tell us that plainly. Someone who quietly builds the thing because we asked for it is worse than no hire at all. If being the person who says "the numbers don't support this" makes you uncomfortable, this isn't the job.

You need

• To have put a language model behind an API that more than one product called, and kept it running.
• Streaming responses, timeouts, retries, and errors that tell the caller something useful.
• To have run a speech recognition or language model in production on hardware you were responsible for. Not a notebook, not someone else's API.
• To be able to size and cost it: how many people one GPU will serve at once, what an hour of audio or a million tokens costs you, where it starts to fall over.
• Tool calling in production, and a clear view on where the boundary sits. The assistant will guide patients through booking, which means the model proposes an action and our code decides whether it's allowed. If you've built something where the model was effectively trusted to act, we'd want to talk about what you'd do differently.
• To have dealt with untrusted text reaching a model that can trigger actions. A chat box on a patient portal is a much easier thing to attack than a phone call, and someone will try.
• Experience grounding a model on your own content so it stops inventing things — and honesty about where that still fails.
• Experience fine-tuning or adapting an open-weight model, LoRA or PEFT or something equivalent, and the honesty to say whether it was worth the effort.
• A habit of being suspicious of your own benchmark numbers, especially the good ones.
• To understand that using patient conversations to train a model is a different legal question from using them to answer one. If that distinction is new to you, this role probably isn't the right fit.
• Python and Linux, containers, and a serving stack like vLLM or TGI.
• Enough experience to work without an ML team around you, and to tell a team lead something he'd rather not hear.
• We are considering candidates who work through Ukrainian FOP.

Nice to have

• Quantization, and a view on what it costs you in accuracy.
• Audio processing: sample rates, codecs, what a phone network does to a recording.
• GPU scheduling, Kubernetes.
• Having built something where the same assistant had to behave consistently across more than one channel.
• Having worked somewhere GDPR was taken seriously rather than mentioned occasionally.

You don't need

• To have built a voice assistant, or to know anything about telephony. That's the other role, and the phone channel is only one consumer of what you'd build.
• To speak German.
• To know PHP . You'd define what our backend needs to expose; another team builds it.

About the Role

Our promotional features team is seeking a Senior Backend Engineer. This role is focused on developing and optimizing promotional features for our gaming platforms, where performance, scalability, and cutting-edge solutions are paramount.
If you’re a product-passionate person, your mind is keen to solve deep tech engineering problems, and you have a fast "PoC first" approach with a deep sense of ownership, we would love to hear from you.

Key Responsibilities

• Develop and maintain robust backend systems for our promotional features.
• Optimize existing systems for enhanced performance and scalability.
• Lead technical decisions and contribute to our SaaS solutions.
• Collaborate with distributed teams to innovate and implement new features.
• Ensure code and architectural excellence through reviews.
• Address complex technical challenges with innovative solutions.
• Participating in on-call rotations within the squad to help ensure the reliability and availability of our systems.

Requirments

• Strong proficiency in Node.js and TypeScript (our primary backend stack). We’re also open to strong backend engineers from other ecosystems (e.g., Go, Java, C#, C++) who are ready to ramp up quickly.
• Strong understanding of asynchronous programming and concurrency patterns.
• Experience building distributed systems and working with messaging and coordination tools (e.g., Kafka, RabbitMQ, NATS, distributed locks).
• Experience with gRPC in production environments.
• Solid knowledge of databases: relational (MySQL, PostgreSQL), columnar (ClickHouse), and NoSQL (DynamoDB, MongoDB).
• Experience with cloud platforms (AWS/GCP/Azure) and Kubernetes.
• Skilled in building and maintaining unit and end-to-end tests.
• Proven track record of delivering production-ready solutions.
• Experience working with large-scale microservices architectures.
• Degree in Computer Science or a related field (or equivalent practical experience).

Nice to Have

• Understanding of enterprise development patterns
• Experienced with large-scale microservices architecture
• Experience with cloud providers (AWS, GCP, etc.)
• Active performance observation
• Gambling domain experience
• Understanding of application security and industry standards, its best practice
   

What We Offer

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

*Benefits may vary depending on location and contractual agreement
 

Recruitment Process

• HR interview
• Technical interview (with Live coding)
• Final interview

Please take into account that sometimes the process may differ, your TA Partner will keep you updated.

We are looking for an experienced Business Development / Sales Partner who knows the IT services market, has an established professional network and can bring new software development opportunities to TopDevs.

This is not a salaried SDR or Lead Generation position.

It is a flexible, commission-based partnership designed for an experienced Business Development Manager, Sales Manager, Sales Consultant, Head of Sales/BD or independent professional who already has relationships and opportunities within the technology market.

What we're looking for

Ideally, you:

• have 3+ years of B2B sales / business development experience in software development, IT outsourcing, outstaffing or technology services;
• have an existing network of founders, CEOs, CTOs, agencies, startups or established companies that purchase software development services;
• have experience selling to the US, UK and/or European markets;
• understand the full sales cycle for custom software development;
• can identify and qualify genuine business opportunities;
• are comfortable communicating and negotiating with decision-makers;

• have personally contributed to closing IT services deals.

   

We are particularly interested in people who already have warm relationships, an active professional network, existing pipeline or potential opportunities relevant to a software development company.

How the partnership works.

You bring or introduce a new client opportunity to TopDevs.

Depending on your preferred level of involvement, you can:

• make a qualified introduction and let our team handle the sales process;
• introduce and qualify the opportunity;
• or manage the full sales cycle through negotiation and closing.

Our technical and delivery team supports you with:

• technical discovery;
• requirements analysis;
• solution discussions;
• estimations;
• proposals;
• technical calls;
• project planning.

You focus on the commercial relationship — we provide the technical and delivery capability behind the deal.

Commission.

This is a commission-only partnership with no commission ceiling.

Recurring commission — up to 10%

Earn up to 10% of every client invoice actually paid to TopDevs, for up to 12 months.

The percentage depends on your involvement:

5% — qualified introduction
7% — qualified opportunity + involvement in the sales process
10% — full sales cycle through successful closing

One-time success fee — up to 25%

Alternatively, we can agree on a one-time success fee of up to 25% of the first successfully paid client invoice.

The commission model is agreed before the opportunity is registered.

For established client relationships, significant opportunities or larger contracts, we are open to discussing an individual commission structure.

Commission is paid only on revenue actually received from the client. There is no cap on earnings.

What you'll be selling

TopDevs provides:

• Custom Web Development
• Mobile App Development
• MVP & Startup Development
• Existing Product Development & Modernization
• Dedicated Development Teams
• Staff Augmentation
• Technical Discovery & Consulting

We work with both startups and established businesses and can support opportunities from early discovery through development and long-term product support.

Why this partnership

There are:

• no working-hour requirements;
• no activity KPIs;
• no requirement to leave your existing consulting or other non-conflicting work;
• no commission ceiling.

We're interested in results rather than the number of cold emails or LinkedIn messages sent.

This can work particularly well if you already have relationships with companies that need software development, additional engineering capacity or a reliable technology partner and want to monetize those relationships with an experienced delivery team behind you.

Our goal is not simply to hire another salesperson.

We want to build long-term partnerships with people who can consistently bring quality business.

When applying

No long cover letter is required.

Please briefly answer:

1. Which markets do you currently work with?
2. What software / IT services have you sold?
3. What is the typical deal size you've worked with?
4. What was the largest deal you personally helped close?
5. Do you currently have an active professional network or potential opportunities relevant to software development?
6. Which model would you prefer: recurring commission or a one-time success fee?

We care primarily about your network, actual sales experience and ability to generate and close real business opportunities.

We are looking for an experienced CRM / Retention Lead in the iGaming / betting / casino industry to take ownership of player retention strategy and drive LTV growth.

What you will do:

• Develop and implement retention strategies: reduce churn, increase loyalty and LTV.
• Optimize CRM: segmentation, personalization, and processes.
• Launch and scale retention initiatives: welcome/onboarding programs, loyalty programs, win-back campaigns.
• Conduct A/B testing of campaigns and analyze the effectiveness of bonuses, promotions, and communications.
• Manage all communication channels: email, push, SMS, messengers, in-app.
• Lead a team of retention managers and collaborate with cross-functional teams.

What we expect from you:

• 2+ years of experience in CRM / retention / database marketing.
• Experience in iGaming / betting / casino, launching and optimizing retention initiatives.
• Proficiency with CRM platforms, Google Analytics / Power BI, Excel, Jira / Confluence, ESP.
• Experience with bonuses, promotions, and analytics (NGR, ARPU, churn, LTV).
• English — Upper-Intermediate+ (working proficiency).

What we offer:

• Opportunity to impact key metrics: reduce churn, increase LTV and ARPU, boost repeat deposits.
• Lead projects for implementing a new CRM and developing retention analytics.
• Work with international markets (CIS, Africa, MENA).
• Build and manage a retention team and implement industry best practices.

If you are ready to drive company growth through player retention and lead a team of professionals, join us!

Growth Automation is a Lead Generation AI firm serving B2B companies worldwide.

We’re looking for a Billing & Invoicing Coordinator to join our team.

The Role:

The Billing & Invoicing Coordinator will be responsible for ensuring that our invoicing process runs smoothly and efficiently. This role is hourly & freelance — up to 5 hours each week.

Key responsibilities include:

• Creating and updating invoices for clients in Xero
• Monitoring outstanding balances and preparing summaries for the management team
• Communicating with clients regarding overdue payments (via email and phone)
• Following up consistently on delayed invoices and handling collections agencies when needed
• Staying organized and maintaining accurate records of invoicing activities
• Handling additional invoicing-related tasks as required
   

This role does not involve bookkeeping or accounting. It is an entry-level opportunity that does not require extensive prior experience — but strong organization, professionalism, and attention to detail are a must.
 

Requirements

• Experience using Xero invoicing (essential)
• Good level of English (spoken and written)
• Comfortable making client calls regarding payment follow-up
• Very organized, detail-oriented, and proactive
• Reliable and able to sign in multiple times per week
• Previous invoicing or billing experience is a plus, but not strictly required
   

Hours & Compensation

• Freelance, part-time (up to 5 hours per week, flexible schedule)
• Hourly pay
• Remote role — work from anywhere
• Opportunity to grow with the company and take on more responsibility over time

Required skills

Google Sheets / Excel, Xero, Invoices

We are seeking an experienced, data-driven Email Marketing Manager to lead the email marketing strategy and execution for our three consumer brands. This person will be responsible for growing qualified email signups, improving engagement and deliverability, converting subscribers into customers, and increasing customer lifetime value through effective campaigns and automated customer journeys.

The ideal candidate combines hands-on campaign execution with analytical and strategic thinking. You should be comfortable managing multiple brands and audiences, developing coordinated campaign calendars, analyzing performance data, testing new approaches, and researching the tools, platforms, strategies, and service providers that can improve our results.

Key Responsibilities

• Develop and manage the email marketing strategy and campaign calendar for all three brands.
• Plan, build, test, schedule, and deploy promotional, educational, retention, re-engagement, and lifecycle campaigns.
• Develop strategies to grow qualified email lists and improve subscriber-to-customer conversion rates.
• Build and optimize automated customer journeys, including onboarding, abandoned checkout, retention, payment recovery, reactivation, and win-back campaigns.
• Monitor campaign performance and conduct ongoing testing of subject lines, content, creative, offers, calls to action, audience segments, send times, and frequency.
• Manage email deliverability, sender reputation, list hygiene, bounce rates, spam complaints, suppression rules, and inactive subscribers.
• Research and evaluate email marketing strategies, platforms, deliverability tools, technologies, and service providers.
• Analyze campaign and customer data and translate findings into clear recommendations and measurable improvements.

• Prepare regular performance reports for each brand and maintain accurate, timely campaign execution.

   

Success in This Role Will Be Measured By

• Growth in qualified email signups.
• Improved inbox placement and overall deliverability.
• Increased open rates, click-through rates, and conversion rates.
• Growth in email-attributed revenue and revenue per recipient.
• Improved performance of automated customer journeys.
• Reduced bounce, unsubscribe, and spam-complaint rates.
• Increased customer retention, reactivation, and lifetime value.
• Consistent, accurate, and timely execution of campaigns across all three brands.

• Effective use of testing, research, and data to produce measurable improvements.

   

About the Ideal Candidate

You are both a strategist and a hands-on operator. You enjoy developing a plan, but you are equally comfortable building campaigns, analyzing results, troubleshooting deliverability issues, and making ongoing improvements.

You are curious about new tools and strategies, highly organized, and motivated by measurable results. You communicate clearly, demonstrate strong attention to detail, work effectively across multiple brands and priorities, and can operate independently while taking ownership of both execution and performance.

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

Requirements:

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

Nice to Have: 

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

Responsibilities:

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

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

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

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

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

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

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

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

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

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

What you will do

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

What we are looking for

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

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

To apply

Please include:

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

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.