Jobs at Djinni

About the role

We are a Belgian B2B SaaS company developing web applications for business process automation.

Our core product, HyperPortal, is a no-code platform that helps organizations automate workflows and build structured databases without requiring technical knowledge.

We are looking for a Medior Automation Implementator to join our team and work with customers in France. You will analyse their business processes, design automation solutions and implement them using our platform.



You must be based in France and speak French at B2–C1 level or higher.

You will also need good spoken and written English.

Ukrainian is a plus.

What you will do

• Analyse customer business processes and requirements
• Translate business needs into practical automation solutions
• Design and implement complex workflows in HyperPortal
• Build structured and scalable data models
• Document solutions clearly
• Present and explain implementations to customers
• Communicate with customers throughout the implementation process
• Coordinate with our internal teams
• Take ownership of implementations from requirements to delivery

What we are looking for

• 3+ years of experience with workflow automation or no-code platforms
• Experience with tools such as n8n, Make.com, Zapier, Airtable or similar
• Strong business and functional analysis skills
• Ability to independently implement complex automations end-to-end
• Good understanding of workflows, data structures and automation logic
• Strong communication and customer-facing skills
• French: B2–C1+
• English: good written and spoken level
• Russian or Ukrainian is a plus

Experience with n8n, Make.com or Airtable is especially relevant. You will not work with these tools directly — you will use our own no-code automation platform, which follows similar principles.
 

About MyTaxiCRM

MyTaxiCRM is a fast-growing global B2B SaaS startup building an all-in-one ERP and BI platform for taxi and ride-hailing fleet management. We help fleet operators across Europe, the Middle East, and Central Asia run their businesses more efficiently through a single, unified system.

Our platform integrates with leading mobility services like Uber, Bolt, and Careem, and provides tools for driver and vehicle management, dispatching, GPS tracking, fraud prevention, and real-time analytics — enabling fleets to improve operational efficiency by up to 30% within the first month.

Now we’re looking for a Sales Manager to own sales activities — from first outreach to demo and close.

Key Responsibilities

• Generate leads and conduct cold outreach to potential B2B clients (email, LinkedIn, calls, etc.)
• Qualify prospects, understand their needs, and present the product
• Run product demos and conduct sales calls
• Drive deals to close: follow up, handle objections, and convert leads into clients
• Maintain and update deal and activity data in CRM
• Track outreach volume and pipeline traction

Requirements

• 6–12 months of experience (B2B is a plus)
• Strong communication and presentation skills
• English B2+ is a must (other languages are strong plus)
• Comfortable using AI tools in daily work
• Curiosity, proactivity, and genuine love for sales

What We Offer

• Fast professional growth in B2B sales
• Direct mentorship from an experienced sales leader
• Work with international clients across MENA and Europe
• Performance-based compensation: base + commission
• Fully remote or hybrid (Kyiv) work format
• Flexible working hours (start your day between 8 and 10 AM)
• High-pace environment with quick decision-making

Sounds like a fit? We'd love to hear from you!

About

We’re looking for a senior ML/AI Engineer to build Stream, a new conversational interface. As an ML/AI engineer, you will architect, build, and deploy a new interface which spans voice, audio, and agentic control. This role is perfect for someone who cares deeply about real-world ML deployment and low-latency voice interactions.

Responsibilities

• Design and improve user-facing experiences, including voice, audio, and agentic control.
• Develop, evaluate, and deploy models spanning cloud models to resource-constrained on-device settings
• Optimize inference pipelines for latency, reliability, and concurrency

• Work closely with other ML/AI engineers, infrastructure engineers, designers, and cofounders on existing and future products

   

Qualifications

• 4+ years in artificial intelligence or machine learning applications
• Experience shipping ML-based products is required
• Experience in large-language models is required
• Experience in audio / voice ML is a major plus
• Comfortable writing production-grade software
• Passion for human-computer interaction

T H E  R O L E
Own the intelligence layer of Rx360 — the models that turn continuous sensor and medication data into a working understanding of each individual we serve, and turn that understanding into actions that help them stay independent. You will set the ML architecture, build the longitudinal modeling stack from raw signal through to user-facing recommendation, and define how our models and our conversational companion work together.

W H AT Y O U ' L L D O
Own the ML architecture for personalized health intelligence — per-user baselines, N-of-1 and hierarchical models, and the strategy for learning from one individual's history rather than a population mean.
Build the digital biomarker stack on raw wearable signal: gait and cadence, sit-to-stand and postural transitions, activity classification, sleep and circadian structure, and cardiovascular trend from IMU and PPG streams.
Design change detection and event-association models that link medication starts, dose adjustments, and adherence gaps to downstream behavioral shifts — with defensible handling of confounding, lag structure, and multiple comparisons.
Turn a detected change into a recommendation: what to surface, to whom (the individual, family, pharmacist, or provider), with what urgency — and when the right answer is to say nothing.
Build the data and training infrastructure that carries high-frequency time-series from device ingestion through feature generation, training, serving, and monitoring.
Own evaluation. Offline benchmarks, labeled ground truth from pilot cohorts, calibration and drift monitoring, and the false-positive budget that decides whether people trust what we tell them.
Ground our conversational companion in real signal. Our AI companion runs on a large language model inside our
HIPAA-compliant cloud environment; you will connect it to per-user model output and own the evaluation and post- training work that keeps its guidance accurate, useful, and safe.
Push inference to the edge where latency, privacy, or battery demand it, working directly with the firmware and hardware teams on what runs on the band versus in the cloud.
Direct AI coding agents to accelerate implementation while holding a rigorous quality bar — the way the rest of our engineering team works.
Partner with clinical collaborators, including our university pilot, to design studies that produce the labeled data these models actually need.
Set technical direction and raise the bar for ML across the team.

R E Q U I R E D
6+ years in machine learning, including systems you have shipped to real users and operated in production — not only research or prototypes.
Deep experience with time-series or sensor data: physiological signals, IMU / accelerometry, or comparable high- frequency multivariate streams.
Demonstrated work in individual-level modeling — per-subject baselines, hierarchical or Bayesian methods, anomaly and change-point detection, or models that adapt as data from a single person accumulates.
Strong applied statistical judgment. You can separate a real effect from a coincidence in observational data, and you know exactly where a causal claim stops being defensible.
Production-grade Python and PyTorch (or equivalent). You write software other engineers are willing to maintain.
Ownership of the full lifecycle: data pipelines, training infrastructure, deployment, monitoring, and retraining.
Experience with large-language-model evaluation and post-training — grounding and retrieval, structured output, eval harnesses, and guardrails.
Cloud-native ML at production scale (AWS preferred).
Fluent use of AI development tools (Claude Code, Cursor, Copilot, or equivalent) with the domain depth to catch where generated code fails silently.
Clear, direct communication. You can set direction across firmware, backend, mobile, design, and clinical stakeholders.

N I C E T O H AV E
Wearables, digital biomarkers, gait analysis, fall risk, or human activity recognition.
Self-supervised or foundation-model approaches for wearable time series, and comfort working under real label scarcity.
Causal inference on observational data — interrupted time series, difference-in-differences, or synthetic control.
Medication-effect modeling: polypharmacy, adherence, or PK/PD intuition.
On-device and edge ML — quantization, distillation, TinyML, inference under a power budget.
Regulated environments: HIPAA and PHI handling, model governance, or the general-wellness boundary.
Clinical research collaboration and IRB-governed data.
Voice or audio ML.

W H Y T H I S R O L E I S D I F F E R E N T
G R E E N F I E L D
You are defining the intelligence layer, not maintaining someone
else's. The architecture decisions are yours to make.
R E A L S I G N A L
Continuous, longitudinal, multi- stream data from a device we build
ourselves — with the firmware team a message away.
I T M AT T E R S
A model that catches a medication effect three days early changes
whether someone keeps living in their own home.

H O W W E W O R K
Mission comes first.
The work has real impact on people's lives. We take that
responsibility seriously.
Thoughtful technology.
Technology should simplify life, not complicate it.
Respect for independence.
The people we build for value autonomy and dignity.
Everything we create reflects that.
Curiosity.
We encourage questions, experimentation, and new ways
of thinking.

A B O U T R X 3 6 0
Rx360 is a wellness platform for older adults who want to keep living on their own terms — and for the families, pharmacists, and providers around them.
The wearable is a wrist-worn band we design in-house, carrying a PPG sensor for cardiovascular signal, a six-axis IMU for motion, gait, and posture, and on-device fall detection. The iOS and Android apps give the individual a plain- language view of their own day and their medications, and open a shared circle of care to the family members they choose to include.
Rx360 is a U.S. company headquartered in Los Angeles, California, with a distributed engineering team. Hardware, firmware, mobile, backend, and machine learning are all in-house.

About ByChat FinOps

ByChat FinOps is a production-ready B2B AI platform that helps organizations understand, analyze, and optimize cloud infrastructure costs across AWS.

Our platform combines cloud billing data with Generative AI, enabling users to ask natural language questions such as:

• Why did our cloud costs increase this month?
• Which services generate the highest expenses?
• Will we exceed our budget next quarter?
• Where can we reduce infrastructure costs?
   

Behind the scenes, intelligent LLM Agents work with cloud APIs, read-only SQL queries, billing datasets, forecasting models, anomaly detection algorithms, and FinOps analytics to deliver accurate, explainable business insights.

ByChat FinOps is an actively growing production product where AI reliability, security, scalability, and measurable business value are our highest priorities.
 

About the Role

We are looking for a Senior / Lead ML Consultant to support our engineering team on a part-time basis and provide expert guidance on the architecture, development, evaluation, and optimization of our AI/ML capabilities.

This is primarily an advisory and technical leadership role rather than a full-time hands-on engineering position.

You will work closely with our AI/ML engineers and technical team, review existing approaches and processes, identify potential risks and inefficiencies, and provide practical recommendations for improving the quality, reliability, and efficiency of our AI systems.

We expect you to act as a senior technical advisor and sparring partner for the team, helping us validate technical decisions and ensure that our ML/LLM practices meet production-grade standards.
 

What You'll Do

Your responsibilities will include:

• Review the architecture and implementation of our AI/ML and LLM-based solutions.
• Provide regular technical feedback to AI/ML engineers and help validate key engineering decisions.
• Review existing ML/LLM development processes and recommend improvements.
• Evaluate the effectiveness, reliability, and scalability of current AI workflows.
• Advise the team on the design of LLM Agents, sub-agents, tool calling, structured outputs, and agentic workflows.
• Review approaches to prompt engineering, context management, guardrails, validation, retries, and hallucination mitigation.
• Assess and improve LLM evaluation methodologies, automated testing, golden datasets, and quality metrics.
• Advise on AI observability, tracing, monitoring, and production quality control.
• Review Text-to-SQL approaches and help ensure safe and reliable interaction with financial datasets.
• Provide guidance on anomaly detection, forecasting, and other ML components used within the platform.
• Identify performance bottlenecks and opportunities to optimize LLM latency, token usage, infrastructure usage, and operational cost.
• Help the team evaluate new AI/ML technologies, frameworks, models, and architectural approaches before introducing them into production.
• Participate in technical discussions and architecture reviews for complex AI-related features.
• Mentor engineers and help strengthen the team's ML/LLM engineering practices.
• Help establish practical engineering standards and best practices for building production-grade AI systems.
   

What We Expect

Must Have

• Strong senior-level commercial experience in Machine Learning / AI Engineering, ideally including technical leadership or consulting responsibilities.
• Proven experience designing and reviewing production AI/ML systems.
• Strong practical experience with modern LLM applications and Agentic AI systems.
• Deep understanding of:
  • LLM Agents and agentic workflows
  • Prompt Engineering
  • Function / Tool Calling
  • Structured Outputs
  • Context management
  • Hallucination mitigation
  • Guardrails and validation
  • Retry and fallback strategies
• Strong understanding of ML/LLM evaluation methodologies and how to measure AI system quality in production.
• Experience with AI observability, tracing, testing, and monitoring.
• Strong Python and SQL knowledge with the ability to review implementation and architecture decisions.
• Understanding of statistics, anomaly detection, forecasting, and data-driven system evaluation.
• Experience identifying technical risks, architectural weaknesses, and performance bottlenecks.
• Ability to translate complex technical findings into clear, practical recommendations for an engineering team.
• Strong communication and mentoring skills.
• English sufficient for technical discussions, documentation, and regular communication with the team.
   

Nice to Have

• Previous experience as a Lead ML Engineer, ML Architect, AI Architect, Staff/Principal ML Engineer, or ML Consultant.
• Experience with LangChain, LangGraph, or other Agent frameworks.
• Experience with AWS Bedrock, Claude, or other managed LLM platforms.
• Experience with FinOps, cloud billing, or cloud cost optimization.
• Knowledge of:
  • AWS CUR
  • AWS Cost Explorer
• Experience with Langfuse, LangSmith, RAGAS, or similar AI observability and evaluation platforms.
• Experience designing evaluation pipelines and golden datasets for LLM applications.
• Experience with forecasting and time-series analysis.
• Experience processing large financial or billing datasets.
• Understanding of multi-tenant architectures and secure AI tool execution.
• Experience optimizing LLM latency, token usage, and operational costs.
   

Technology Stack

• Python 3.12
• FastAPI
• LangChain
• LangGraph
• AWS Bedrock
• PostgreSQL
• SQL
• Langfuse
• RAGAS
• Docker
• Next.js / TypeScript
   

Engagement Format

• Part-time consulting engagement
• Flexible involvement based on project and team needs
• Regular technical reviews and consultations with the AI/ML team
• Architecture and solution reviews for key AI/ML initiatives
• Focus on technical guidance, quality assurance, process improvement, and mentoring rather than day-to-day feature implementation
   

Why Join Us?

• Influence the technical direction of a real production AI product without committing to a full-time role.
• Work on challenging problems at the intersection of Generative AI, Agentic AI, Cloud, and FinOps.
• Help shape the architecture and engineering practices behind production-grade AI systems.
• Work with a team that values measurable AI quality, reliability, security, and business impact.
• Apply your senior-level expertise where it has the highest impact: technical decisions, architecture, evaluation, optimization, and team development.
• Stay close to modern AI technologies while working in a flexible consulting format.

We are looking for a Senior Product Manager with hands-on crypto casino experience to take full ownership of the casino product — from product strategy and player insights to business performance and growth.

This is not a delivery-focused Product Owner role. You will be responsible for where the product goes, why we prioritize certain initiatives, and how those decisions impact key business metrics.

You’ll work closely with a Product Owner who owns backlog execution and delivery, while your focus will be on product strategy, discovery, player behavior, market opportunities, experimentation, and commercial results.

The main goal is simple: continuously improve the casino product and player experience while driving conversion, retention, monetization, and LTV.

🎯 What you’ll own

• Product vision, strategy, and roadmap for the crypto casino vertical.
• Player journey across onboarding, KYC, deposits, withdrawals, game discovery, bonuses, and personalization.
• Product discovery based on player behavior, transaction data, game performance, market research, and competitor analysis.
• Core casino metrics: GGR, NGR, conversion, retention, churn, ARPU, LTV, reactivation, and bonus efficiency.
• Understanding different player segments and identifying what drives deposits, engagement, retention, and monetization.
• A/B testing and product experiments — from hypothesis to measurable business results.
• Collaboration with Retention and VIP teams to increase repeat deposits and long-term player value.
• Optimization of crypto payments, wallets, multi-currency flows, and related user experiences.
• Analysis of revenue and profitability drivers, including bonuses, payment fees, provider costs, and chargebacks.
• Translation of business goals and product insights into clear priorities for Product Owner and cross-functional teams.
•  

✅ What we’re looking for

• 4+ years of Product Management experience in iGaming.
• Proven hands-on experience with crypto casino products — this is important for the role.
• Strong understanding of casino mechanics: slots, live casino, bonuses, player lifecycle, retention, and reactivation.
• Experience owning product and business KPIs rather than simply delivering features.
• Strong analytical mindset and confidence working with funnels, cohorts, experiments, and product/business metrics.
• Ability to independently identify opportunities, build hypotheses, prioritize them, and measure the impact.
• Strong understanding of UX and experience optimizing high-impact player journeys.
• SQL knowledge or hands-on experience working directly with analytics and back-office data.
• Comfortable working with a high level of ownership, autonomy, and fast decision-making.
•  

🧠 The mindset we value

We’re looking for someone who thinks “What will move the metric?” rather than “What feature should we build next?”

You’re curious about why players behave the way they do, comfortable challenging assumptions, and able to change direction when the data tells a different story.

You move fast, test hypotheses, measure results, and iterate.

🎁 What we offer

💰 Competitive compensation package
🚀 High ownership and real influence on product and business decisions
💼 Strong senior-level team
⚡ Fast decision-making, minimal bureaucracy, and flexible processes
🏡 Remote-first setup — work from anywhere
🎓 Learning budget, internal knowledge sharing, external courses, and certifications
🍺 Healthy work-life balance — no overtime or micromanagement
💻 MacBook, Starlink, PowerBank, and other necessary equipment
👶 Maternity and childbirth bonuses
🔔 Additional internal benefits and perks

Job Summary

Our embedded software engineering team's mission is to craft reliable, high-performance solutions that reach millions of homes worldwide within the home security market. We follow agile development methodologies with regular sprint cycles, code reviews, and continuous integration practices. The team's established approach emphasizes comprehensive testing, rigorous security standards, and close collaboration with hardware engineering, product management, and customer support teams. We pride ourselves on writing clean, maintainable code and fostering a culture of knowledge sharing and technical excellence.

We're seeking a skilled C++ Embedded Engineer to take ownership of critical software components in our camera-based security devices. This role involves maintaining existing products through comprehensive debugging and bug fixing, as well as developing innovative new features.

Responsibilities and Duties

— Design, develop, and maintain high-quality embedded software in C++ for camera-based security devices.

— Debug and resolve complex software, hardware, and network connectivity issues across the entire software stack.

— Develop new features and improve existing codebases for the product line.

— Optimize software performance for resource-constrained embedded environments.

— Conduct code reviews and provide technical mentorship to team members.

— Participate in architecture discussions and technical decision-making processes.

— Collaborate with QA teams to develop comprehensive testing strategies.

— Document software designs, APIs, libraries, and troubleshooting procedures.

Qualifications and Skills

— At least 5+ years of commercial experience in embedded development, with expertise in C++ (C++17 standard) and deep knowledge of RTOS and microcontroller architectures (ARM, RISC-V).

— Proficiency in the full SDLC, including professional engineering practices like Git, CMake, code reviews, and continuous integration.

— Solid understanding of network programming and experience with multithreading on multicore microcontrollers.

— Expertise in communication interfaces (I2C, SPI, UART, and Wi-Fi) and experience writing device drivers and libraries.

— Hands-on experience with hardware troubleshooting and debugging tools (oscilloscopes, logic analyzers, etc.) and cross-compilation tool chains.

— Ability to work independently and take ownership of complex projects.

— Excellent communication skills for technical discussions and documentation, with a collaborative mindset for cross-functional team environments.

— At least an Intermediate level in both written and spoken English (B1).

Nice to have

— Experience with Python for scripting and automation

— Experience with C in embedded development

— Understanding of security protocols and encryption methods

— Experience using AI-powered tools to enhance productivity and code quality

We offer multiple benefits that include

— The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member.

— Competitive compensation and perks. Annual performance review.

— Opportunity to receive a Performance Bonus for your individual achievements and a Loyalty Bonus recognizing your dedication to the company.

— Gig-contract.

— 21 paid vacation days per year, paid public holidays according to Ukrainian legislation.

— Development opportunities like corporate courses, knowledge hubs, and free English classes as well as educational leaves.

— Medical insurance is provided from day one. Sick leaves and medical leaves are available.

— Remote working mode is available within Ukraine only.

— Free meals, fruits, and snacks when working in the office.

We are looking for a Backend Developer to own the backend infrastructure of our fintech platform. You will design scalable microservices, manage critical data flows, and ensure system reliability at scale. Work directly with product, design, and business stakeholders to translate requirements into robust backend systems.

What You Will Do
Backend Architecture & Design

• Design and implement backend services within an existing microservices architecture.
• Experience working with production systems where performance, reliability and scalability matter.
• Architect PostgreSQL schemas for reliability and performance at scale.
• Define API contracts (GraphQL, REST) that support frontend and partner integrations.
• Make critical decisions on data consistency, caching, and async patterns.

Microservices & System Design

• Build and maintain multiple Node.js / Express microservices with clear ownership boundaries.
• Implement webhook-driven workflows and event-driven architecture.
• Design and implement real-time data synchronization pipelines.
• Manage message queues (RabbitMQ) for async operations and inter-service communication.
• Ensure row-level security (RLS) and multi-tenant data isolation at the database layer.

Data & Performance

• Design and optimize PostgreSQL schemas using Prisma ORM.
• Write complex queries, manage indexes, and ensure query performance.
• Implement caching strategies and data consistency patterns.
• Build audit trails and changelog tracking for compliance and debugging.
• Handle sensitive data (KYC, AML, financial records) with security-first approach.

Integration & Third-Party Services

• Integrate with external services (KYC providers, document verification, acquiring networks).
• Design and maintain API integrations with payment processors and clearing centers.
• Build robust error handling and retry logic for critical integrations.
• Document APIs and maintain SDK/integration guides for partners.

What We Are Looking For
Core Requirements:

• 3–5+ years of production experience in Node.js backend development.
• Strong TypeScript across the entire stack (no JavaScript-only experience).
• Solid experience with PostgreSQL: database design, joins, transactions, indexes and query optimization.
• Prisma ORM or similar ORMs and hands-on experience with relational databases.
• GraphQL schema design and resolver implementation (REST a plus).
• Practical experience working with microservices and understanding of service boundaries and inter-service communication.
• RabbitMQ or similar message brokers; event-driven architecture patterns.
 

Nice to Have:

• Experience with fintech, payments, or regulated financial products.

• Experience with distributed systems and eventual consistency — a plus.
• gRPC for service-to-service communication.
• Experience scaling to 100K+ users and handling high transaction volume.
• Background in AML/KYC compliance or financial data handling.
• DevOps sensibility: monitoring, logging, deployment pipelines.
 

Tech Stack
Core: Node.js, Express, TypeScript, PostgreSQL, Prisma ORM, GraphQL, RabbitMQ, gRPC
Supporting: REST APIs, Webhooks, Real-time data sync, Multi-tenant architecture, Audit logging

What We Offer

• Full backend ownership and architectural control.
• Work on systems handling millions of transactions and 100K+ merchants.
• Modern microservices stack with no legacy debt.
• AI-friendly engineering culture—we embrace tools that make you more effective.
• Deep fintech learning: multi-partner networks, compliance, payment flows.

This is a remote job for people with no experience, such as students or those who are just starting their career.

We provide training from scratch, and in the future a higher position within the company hierarchy.

The position involves working from 14:00 to 22:00 Kyiv time.

Responsibilities:

Creating letters in English, using a template with the help of ChatGPT.
Searching for potential projects for our company.
Keeping track of the number of letters sent, time spent, etc...
 

Requirements:

English language level B1.
Strong interpersonal and relationship-building skills.
Ability to work independently and in a team in a dynamic environment.
Self-motivated and result-oriented, with a strong desire to succeed.
 

Why us?

Salary in USD.
Bonus system for referrals and sales.
The adaptation period is determined individually for each candidate.

About the role

Hi, we’re the Findies team, and we’re hiring our first dedicated Email Marketing Manager.

You’ll own email end-to-end: picking and implementing the ESP, setting up deliverability foundations, and launching the lifecycle flows that turn one-time subscribers into retained, recurring revenue.

Reality check

This is a from-the-ground-up role in the truest sense — there is no existing playbook to inherit, no legacy flows to ’optimize,’ no team to lean on. You’ll be selecting the ESP, wiring up SPF/DKIM/DMARC yourself, and deciding what the first welcome email even looks like. If you want a channel that’s already humming and just needs incremental tweaks, this isn’t that. But if you want to build a revenue channel from a blank page and see your name on every flow that exists a year from now, this is exactly that.

Your mission

• Select, implement, and own the ESP — including integration with product/subscription data and deliverability setup (SPF/DKIM/DMARC).
• Design and launch the foundational lifecycle flows: welcome/onboarding, Day 0–3 retention (cancel-prevention), cancellation/win-back, and transactional emails.
• Run A/B tests on subject lines, content, timing, and segmentation, and turn results into action.
• Build reporting that ties email directly to revenue: open rate, CTR, S1—S2 rebill rate, and % of total subscription revenue.
• Collaborate with product, analytics, and design to turn user behavior and cohort data into targeted campaigns.

What makes you the perfect fit

• 2+ years of hands-on email/CRM/retention marketing experience: you’ve built a channel from scratch before, not just maintained one.
• Practical ESP experience, including technical setup (SPF/DKIM/DMARC, deliverability basics).
• Strong grasp of A/B testing methodology and how to turn results into decisions.
• Comfort with analytics tools (Amplitude/Mixpanel or similar) — you can read cohort and funnel data and know what to do with it.
• Ownership mindset: you spot the bottleneck and go fix it, you don’t wait for a brief.
• Language: Ukrainian, Upper-Intermediate (B2+) English or higher.

What’s in it for you

• Build your own channel from zero: no inherited mess, no legacy flows — every automation, template, and testing roadmap in email will be yours.
• Direct, measurable business impact: your flows move the needle on cancel rate and revenue from day one, and you’ll see it in the numbers you report on.
• A subscription product to sink your teeth into: real retention problems (S1—S2 rebill) instead of generic newsletter sends.
• Full ownership, zero bureaucracy: you decide the ESP, the flow logic, the testing cadence — nobody hands you a predefined plan.
• Room to grow: as the first person owning this channel, you’re positioned to define — and later lead — email/CRM at Findies as it scales.

Perks & Benefits

• Remote-First & Coworking Coverage: work remotely, with your coworking space membership covered.
• Time Off to Recharge: 20 working days of fully paid vacation per year, plus paid sick leave.
• Learning & Growth: compensation for professional courses, conferences, specialized workshops, and intensive English training.
• Healthcare: comprehensive medical insurance and access to a corporate doctor.

About the Role

We are looking for a Product Development Specialist in IT to lead the development of digital products, software platforms, dashboards, internal systems, mobile apps, AI tools, automation workflows, and data-driven technology products.

The ideal candidate should be able to translate business ideas into clear technical requirements, product roadmaps, user stories, MVP specifications, wireframes, delivery plans, and documentation for developers, designers, QA, DevOps, cybersecurity, and business teams.

This role is ideal for someone who understands both product strategy and technical execution.

Key Responsibilities

1. Develop and manage IT product concepts from idea to MVP and launch.
2. Translate business needs into product requirements, technical specifications, user stories, and development tasks.
3. Create product roadmaps, MVP scopes, feature lists, acceptance criteria, and release plans.
4. Work with developers, UI/UX designers, QA testers, DevOps, cybersecurity specialists, AI specialists, and data teams.
5. Manage product backlogs and prioritize features based on business value, technical complexity, user needs, and delivery timelines.
6. Prepare product requirement documents, technical briefs, workflow diagrams, wireframes, user journeys, and implementation plans.
7. Support development of web platforms, mobile apps, dashboards, client portals, admin panels, databases, AI tools, automation systems, and SaaS products.
8. Coordinate API integrations, third-party tools, CRM systems, analytics tools, payment systems, data sources, and AI platforms.
9. Ensure products are scalable, secure, user-friendly, and aligned with company goals.
10. Test product features, review QA results, validate user flows, and approve releases.
11. Track product performance, user feedback, bugs, and improvement requests.
12. Maintain clear documentation for product architecture, user flows, features, dependencies, and release history.

Product Areas

This role may support products such as:

1. Analytics dashboards
2. AI-powered research platforms
3. Mobile apps
4. Web platforms
5. Investment intelligence systems
6. Longevity and HealthTech products
7. Fintech and banking card products
8. CRM and internal workflow systems
9. Data platforms and databases
10. Automation tools
11. Client portals
12. Partner ecosystem platforms
13. Admin panels and reporting systems

Required Skills & Experience

1. Experience in IT product development, product management, technical product ownership, software delivery, or business analysis.
2. Strong understanding of software development processes and digital product lifecycle.
3. Ability to write clear product requirements, user stories, acceptance criteria, and technical documentation.
4. Experience working with developers, designers, QA teams, DevOps, and business stakeholders.
5. Understanding of APIs, databases, dashboards, cloud systems, integrations, user authentication, and basic software architecture.
6. Experience with Agile, Scrum, Kanban, sprint planning, backlog management, and release coordination.
7. Ability to create MVP plans, roadmaps, product specifications, and feature prioritization frameworks.
8. Experience with tools such as Jira, Trello, Asana, ClickUp, Notion, Confluence, Figma, Miro, GitHub, Google Workspace, Airtable, or similar.
9. Strong analytical thinking and problem-solving skills.
10. Excellent communication and documentation skills.
11. Ability to manage multiple IT products or development streams simultaneously.

Nice to Have

1. Experience with AI products, data platforms, dashboards, analytics products, fintech, HealthTech, longevity, SaaS, or investment intelligence platforms.
2. Experience with mobile app development projects.
3. Experience with cybersecurity, GDPR, data privacy, user permissions, role-based access, and secure product design.
4. Experience with no-code/low-code tools, automation platforms, APIs, Zapier, Make, n8n, or Airtable.
5. Understanding of cloud platforms such as AWS, Google Cloud, Azure, Firebase, or Supabase.
6. Experience preparing technical documentation for developers and business documentation for management or investors.
7. Experience managing remote development teams.
8. Basic understanding of SQL, Python, JavaScript, or technical architecture is a plus.

About the Role

We are looking for a skilled and practical Cybersecurity Specialist to protect our company's digital infrastructure, internal systems, data assets, cloud tools, websites, email accounts, and operational workflows.

The ideal candidate should be able to assess risks, identify vulnerabilities, secure accounts and systems, improve access controls, monitor threats, support compliance, and create clear cybersecurity processes for a growing analytics and technology-driven organization.
 

Key Responsibilities

• Assess the company's cybersecurity risks across internal systems, websites, cloud platforms, email, file storage, databases, and third-party tools.
• Implement and manage security best practices for Google Workspace, Microsoft 365, cloud services, websites, CRM systems, databases, automation tools, and internal dashboards.
• Set up and maintain strong access control, role-based permissions, password policies, MFA, account recovery procedures, and offboarding processes.
• Conduct vulnerability assessments, security audits, and risk reviews.
• Monitor potential threats, suspicious activity, unauthorized access attempts, phishing risks, malware, and data exposure.
• Support website, application, and infrastructure security, including SSL, DNS security, firewall settings, backups, and server hardening.
• Review and improve security for AI tools, automation workflows, API connections, shared documents, and data pipelines.
• Create cybersecurity policies, incident response procedures, security checklists, and internal documentation.
• Train team members on cybersecurity basics, phishing prevention, password security, data handling, and secure use of AI tools.
• Investigate security incidents and prepare remediation plans.
• Coordinate with IT, development, operations, legal, compliance, and management teams.
• Support compliance with relevant standards such as GDPR, ISO 27001, SOC 2, NIST, CIS Controls, or other applicable frameworks.
   

Required Skills & Experience

• Experience in cybersecurity, information security, IT security, cloud security, security operations, or similar role.
• Experience with Microsoft Azure cloud security is required (e.g., Azure AD/Entra ID, Azure Security Center, role-based access control, network security groups, Azure compliance tools).
• Strong understanding of cybersecurity fundamentals, including access control, MFA, phishing prevention, endpoint security, network security, vulnerability management, and incident response.
• Experience securing business systems such as Google Workspace, Microsoft 365, Slack, Notion, Airtable, CRM platforms, cloud storage, and collaboration tools.
• Knowledge of website and application security, including OWASP risks, SSL/TLS, DNS, firewalls, backups, and secure configuration.
• Experience with vulnerability scanning, risk assessment, security audits, and remediation planning.
• Ability to review user permissions, shared drives, admin access, API keys, integrations, and third-party apps.
• Understanding of data protection, privacy, and secure handling of confidential business information.
• Ability to write clear security documentation, policies, checklists, and incident reports.
• Strong attention to detail and ability to work independently.
   

Nice to Have

• Experience with ISO 27001, SOC 2, GDPR, NIST, CIS Controls, or other security/compliance frameworks.
• Experience with endpoint detection and response tools, SIEM platforms, VPNs, firewalls, password managers, MDM tools, and cloud security platforms.
• Experience with AWS, Google Cloud, Cloudflare, GitHub, Docker, databases, APIs, and automation platforms.
• Experience with penetration testing, red-team/blue-team exercises, phishing simulations, or social engineering defense.
• Experience securing AI workflows, LLM tools, automation systems, data pipelines, and research platforms.
• Relevant certifications such as Security+, CySA+, CISSP, CISM, CEH, OSCP, ISO 27001 Lead Implementer, Azure Security Engineer Associate (AZ-500), or similar.
• Experience with remote teams and international organizations.
   

Ideal Candidate Profile

The ideal candidate is practical, proactive, and security-minded without being overly bureaucratic. They can quickly identify the biggest risks, prioritize fixes, and implement realistic cybersecurity improvements.

They should be able to protect sensitive data, secure internal operations, educate the team, and build a strong cybersecurity foundation for a company working with analytics, research, AI tools, financial information, and strategic business intelligence.

About the Role

Deep Knowledge Group is seeking a Product Development Manager to transform Gulf Longevity Intelligence Group from a collection of data, content and relationships into a coherent portfolio of usable intelligence products.

GLIG is intended to combine Gulf-focused ecosystem intelligence, databases, stakeholder mapping, recurring publications, rankings, analytics and commercial/institutional products.

The Product Development Manager will own the path from concept to usable product to commercial or institutional adoption.
 

Key Responsibilities

• Define the architecture and roadmap of GLIG's product portfolio.
• Structure the GLIG intelligence platform and its major user journeys.
• Translate research databases and analytical capabilities into practical user-facing products.
• Develop product requirements for dashboards, databases, rankings, trackers and intelligence tools.
• Productize recurring publications and flagship analytical outputs.
• Develop subscription and membership propositions.
• Support commercialization of Gulf HealthTech and Longevity analytics.
• Define institutional use cases for governments, investors, corporations, healthcare organizations and innovation ecosystems.
• Coordinate CRM/relationship-intelligence requirements with the wider GLIG operating model.
• Work with Data Science and IT on product development.
• Work with Chief Editor on integration between editorial and analytical products.
• Work with BD and Partnerships on external validation and commercialization.
• Develop MVPs and test them with real prospective users.
• Define pricing, packaging and access tiers together with commercial teams.
• Maintain product roadmap, priorities, dependencies and release criteria.
• Use data on actual usage and external feedback to determine what should be developed next.
   

Candidate Profile

The strongest candidate is not somebody who only writes requirements documents.

We are looking for an operator who can look at a large strategic concept, identify what people will actually use or buy, reduce it to a practical first version and coordinate the work necessary to get it live.
 

Requirements

• 4+ years in Product Management, product development, strategy/innovation or comparable work.
• Professional English and Arabic.
• Experience developing digital, data, media or intelligence products.
• Strong understanding of product requirements, user journeys, MVPs and roadmaps.
• Strong commercial and analytical judgment.
• Experience working with technical and non-technical teams.
• Ability to work across data, content, BD and external stakeholders.
• Strong project ownership and delivery discipline.
• Practical AI literacy.
   

Strong Advantages

• Gulf/GCC product experience.
• Market-intelligence or information-product background.
• HealthTech, investment, finance or innovation-ecosystem experience.
• Subscription or membership-product experience.
• Experience with government or institutional users.
   

What Success Looks Like

GLIG should have an increasingly clear and usable portfolio of products, not an indefinitely expanding collection of concepts and internal materials.

Middle QA Engineer

We’re looking for an experienced and proactive Middle QA Engineer to join our QA team at ODDITY and take ownership of quality across complex global e-commerce products.

This role is for someone who can work independently, communicate confidently with international teams, identify risks early, and contribute not only to testing features but also to improving the way the team approaches quality.

About ODDITY 🚀

ODDITY is a consumer-tech company transforming the beauty and wellness industry through technology, data, AI, and a highly customized e-commerce platform.

You’ll work with complex customer journeys, checkout and payment logic, promotions, third-party integrations, customer accounts, and high-impact features used by real customers worldwide.

Learn more about ODDITY: https://oddity.com

What We’re Looking For 🔎

• At least 2 years of practical experience in manual QA
• Strong English communication skills — you’ll collaborate with international teams daily
• Excellent communication, collaboration, and problem-solving skills
• Ability to work independently and take ownership of feature quality
• Strong understanding of testing methodologies and test design techniques
• Hands-on experience with functional, exploratory, integration, and regression testing
• Experience creating and maintaining test cases, checklists, and other QA documentation
• Strong knowledge of web applications and client-server architecture
• Confident use of Chrome DevTools, including Network and Console
• Practical API testing experience with Postman or similar tools
• Working knowledge of SQL
• Experience with Jira, Confluence, or similar tools
• Ability to analyze requirements, identify gaps, and communicate risks before development
• Practical experience using modern AI tools to improve the quality and efficiency of your work

We value people who communicate clearly, think critically, challenge assumptions respectfully, and focus on solutions rather than simply following instructions.

Working With AI 🤖

This is not a position focused on testing AI.

We expect AI to be part of your everyday workflow. You should be comfortable using tools such as ChatGPT, Claude, Gemini, Perplexity, or similar to:

• Analyze requirements and uncover gaps
• Generate test scenarios, edge cases, and risk areas
• Improve test documentation and bug reports
• Support technical investigations
• Structure and summarize complex information
• Review your own work and challenge your assumptions
• Automate or accelerate repetitive QA routines
• Learn unfamiliar concepts and tools faster

You should also be able to validate AI-generated output rather than accepting it blindly.

AI should amplify your expertise and critical thinking — not replace them.

What You’ll Do 🛠️

• Take ownership of quality for features from requirements through release
• Review requirements and identify risks, gaps, and unclear scenarios
• Plan and execute functional, exploratory, integration, and regression testing
• Test complex customer journeys, including checkout, payments, promotions, and user accounts
• Validate frontend, backend, API, and third-party integration behavior
• Create clear, actionable bug reports and maintain relevant QA documentation
• Investigate issues using DevTools, API tools, SQL, logs, and other available data
• Work closely with developers, product managers, designers, and other QA engineers
• Communicate quality risks clearly and help the team make informed release decisions
• Improve test coverage, QA processes, and team practices
• Support Junior QA Engineers through knowledge sharing and constructive feedback
• Use AI tools thoughtfully to make QA work faster, deeper, and more effective

Nice to Have ✨

• Experience testing e-commerce products
• Experience with checkout, payment systems, promotions, subscriptions, or customer accounts
• Knowledge of Magento, Shopify, or similar platforms
• Experience with mobile web and cross-browser testing
• Basic knowledge of Git
• Experience with test automation or the ability to read automated tests
• Familiarity with analytics and tracking validation
• Experience working with distributed international teams

What We Offer 💼

• Ownership of meaningful product areas
• Work on technically complex global e-commerce products
• A collaborative environment where QA has a real voice
• Opportunities for professional growth and broader responsibility
• Direct collaboration with experienced international teams
• Competitive compensation based on your experience and skills
• Remote work or an office in Kyiv
• Paid vacation and sick leave
• Medical insurance
• Sports compensation
• English lessons

We’re looking for a QA engineer who combines strong technical skills with ownership, clear communication, curiosity, and sound judgment.

If you want to influence product quality rather than simply execute test cases, let’s talk.

About the Role

The Gulf Longevity Intelligence Group is being developed as a specialized Gulf-focused intelligence, media and stakeholder platform around Longevity, HealthTech, healthcare innovation, investment and ecosystem development.

Deep Knowledge Group is seeking a bilingual Chief Editor to turn GLIG's underlying analytics, databases, expert network and strategic activity into a continuous stream of authoritative Gulf-focused intelligence and media outputs.

This is substantially more than a content-marketing role.
 

Core Mandate

Make GLIG a source that senior regional stakeholders actually watch.

The editorial programme should connect:

data + research + expert insight + regional developments + rankings + interviews + strategic commentary + media distribution.
 

Key Responsibilities

• Own the English- and Arabic-language editorial agenda.
• Establish a dependable weekly publication cadence.
• Develop recurring intelligence publications, rankings, trackers and thematic features.
• Lead editorial development around the Gulf Longevity and HealthTech ecosystem.
• Coordinate the planned Gulf Longevity Competitiveness and related flagship intelligence outputs.
• Convert GLIG datasets and analytical findings into readable, authoritative publications.
• Identify important regional developments before they become generic international stories.
• Commission and conduct interviews with investors, executives, healthcare leaders, scientists, government stakeholders and ecosystem builders.
• Build a contributor and expert network across the Gulf.
• Develop newsletters, articles, executive briefs, interviews and other editorial formats.
• Coordinate with analysts so editorial claims remain supported by underlying data.
• Coordinate with MarTech and media outreach to maximize reach among relevant audiences.
• Maintain publication calendars and editorial workflows.
• Protect GLIG from exaggerated health claims or weak sourcing.
• Use AI for research, monitoring and drafting support while maintaining rigorous editorial review.

The current GLIG operating plan envisages recurring publications, rankings and trackers, government/industry/capital engagement, media and press activity and eventual subscription/membership infrastructure.
 

Requirements

• 5+ years in journalism, editorial leadership, research publications, intelligence media or comparable work.
• Excellent professional English and Arabic.
• Strong editorial judgment.
• Ability to turn technical, scientific, financial and policy material into clear executive communication.
• Strong research and fact-checking discipline.
• Experience coordinating contributors and external experts.
• Strong understanding of Gulf news, institutions and business environment.
• Ability to run a recurring editorial operation independently.
   

Strong Advantages

• Gulf healthcare, investment, technology or policy journalism.
• Existing GCC media and stakeholder network.
• Experience with rankings, indices or data journalism.
• Longevity, HealthTech or DeepTech exposure.
• Experience building a publication or media product rather than only writing individual articles.
   

What Success Looks Like

GLIG should become progressively more authoritative, timely and difficult to ignore within the Gulf Longevity ecosystem, with a regular output cadence and growing engagement from the institutions and people that matter.