Jobs at Djinni

Requirements

• 1+ year of hands-on experience in digital marketing, paid advertising, or targeting.
• Practical experience with Meta Ads (Facebook & Instagram) and Google Ads — campaign setup, monitoring, optimization, and performance analysis.
• Experience with SEO and basic understanding of how SEO works.
• Basic or practical knowledge of AI Optimization (AIO) / Generative Engine Optimization (GEO), or strong interest in learning and developing these skills.
• Basic to intermediate knowledge of GA4 and Google Tag Manager, including event and conversion tracking.
• Ability to analyze campaign performance, website data, and key marketing metrics.
• Understanding of key paid advertising metrics such as CTR, CPC, CPM, CPA, ROAS, and conversion rate.
• English: B2 (Upper-Intermediate).
• Strong attention to detail, proactive approach, and willingness to learn.
• Willingness to actively use AI tools for research, content creation, campaign analysis, SEO/AIO, and process optimization.
• Ability to work with several projects and tasks simultaneously.

Responsibilities

• Set up, launch, monitor, and optimize Meta Ads and Google Ads campaigns for client projects.
• Analyze advertising performance and make adjustments to improve conversions, CPA, ROAS, and overall campaign performance.
• Work with different campaign types, audiences, creatives, keywords, and targeting settings.
• Conduct basic audience and competitor research to support advertising campaigns.
• Work with SEO, including keyword research, on-page optimization, content optimization, and basic technical SEO tasks.
• Support AIO/GEO optimization to improve clients' visibility in AI-powered search and answer engines.
• Set up and check GA4 and Google Tag Manager tracking, including events and conversions.
• Monitor website and advertising performance and identify areas for improvement.
• Analyze marketing data and prepare insights and recommendations for optimization.
• Work on several client projects simultaneously and meet agreed deadlines.
• Follow updates and trends in Google Ads, Meta Ads, SEO, and AI search and apply relevant approaches to projects.
• Use AI tools to make marketing research, campaign analysis, SEO, content, and other marketing tasks more efficient.

What We Offer:

- A work culture built on mutual success, trust, and continuous growth;

- Competitive compensation with clearly scheduled salary reviews and raises;

- A high-performing project management team and an inspiring atmosphere of camaraderie;

- The opportunity to lead a talented team of top-tier developers and designers;

- Sports compensation to help you stay active and energized;

- Paid vacation and sick leave — because your well-being matters;

- Comprehensive health insurance coverage;

- A modern, comfortable office in the center of Lviv;

- An amazing team, warm atmosphere, and engaging corporate events.

About the Client:

Our client is a leading global healthcare organization, driving innovation in pharmaceuticals, biotechnology, and patient-centric solutions. We develop advanced data and analytics solutions that help global organizations turn complex data into intuitive digital tools, enabling teams to make informed decisions in their daily operations and long-term strategy. Our projects span modern operational applications, interactive dashboards, and advanced analytics platforms designed to deliver actionable insights across multiple business domains.

About the Role:

We are looking for a Senior Data Analyst to support a project focused on assessing and building a comprehensive customer universe using data from internal and external sources. The role focuses on data acquisition, validation, matching, and process development — assessing data quality and coverage, matching external data with existing customer/account databases, identifying gaps and duplicates, and developing a structured approach for ongoing data maintenance and improvement. The contractor will work closely with Global Insights, Customer Excellence, and local affiliates to refine processes, support pilot readiness, and translate findings into practical recommendations.

Key Responsibilities:

• Support the execution of a data acquisition and validation POC using external data sources.
• Work with large datasets from internal and external sources, including cleansing, structuring, and validating data.
• Assess match rates, data coverage, duplicates, gaps, inconsistencies, and overall data quality.
• Investigate data discrepancies and identify opportunities for data enrichment and improvement.
• Evaluate external data attributes as potential indicators of customer/account size, activity, or potential.
• Develop and document approaches for customer universe identification, matching, validation, and ongoing maintenance.
• Create clear process documentation and SOPs and identify opportunities for process simplification or automation.
• Support pilot preparation by defining relevant requirements, success metrics, and recommendations.
• Collaborate with business stakeholders and local teams to understand requirements and communicate findings.
• Present analytical findings and practical recommendations to relevant stakeholders.
• Maintain project documentation, trackers, and progress updates.

Required Qualifications:

• 4+ years of experience in Data Analytics, Data Quality, Data Operations, Business Analysis, or a related field.
• Strong hands-on experience working with large and complex datasets.
• Advanced Excel skills and confidence working with large volumes of data.
• Practical experience with data cleansing, validation, matching, and deduplication.
• Experience combining and analyzing data from multiple sources.
• Strong analytical and problem-solving skills, with the ability to investigate data quality issues and identify patterns, gaps, and inconsistencies.
• Ability to independently structure ambiguous problems and develop practical approaches to solving them.
• Ability to translate analytical findings into clear business insights and recommendations.
• Strong attention to detail and data accuracy.
• Good communication and stakeholder management skills.
• Ability to work independently and take ownership of tasks in a fast-moving environment.

Nice to have:

• Experience in healthcare, aesthetics, medical devices, pharmaceuticals, or commercial excellence.
• Experience using external data providers or web-sourced datasets.
• Experience with CRM systems (Veeva CRM, Salesforce, Dynamics, etc.).
• Experience building customer universe or account segmentation approaches.
• Familiarity with data enrichment and data quality methodologies.
• Experience working across international markets.

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

We are looking for a Senior AI/ML Engineer to design, develop, and enhance AI-driven solutions within the Palantir Foundry and AIP ecosystem.

In this role, you will take ownership of developing production-ready machine learning and LLM-based solutions, from understanding business needs and exploring data to designing technical approaches, implementing solutions, and integrating them into Foundry workflows. You will work closely with data engineers, business analysts, and domain experts, contribute to technical decisions, and help establish best practices for building scalable and reliable AI solutions.

Key Responsibilities:

• Design and develop AI/ML solutions for predictive analytics, classification, forecasting, automation, and AI-assisted workflows within Palantir Foundry, leveraging Python, Ontology objects, pipelines, and workflows.
• Design, implement, evaluate, and optimize LLM/NLP and RAG solutions using Palantir AIP, including prompt engineering, embeddings, retrieval strategies, vector search, and text processing.
• Own the end-to-end lifecycle of AI solutions, from experimentation and model development to deployment, monitoring, and continuous improvement.
• Collaborate with data engineers to understand data sources, ensure data quality, and design efficient and scalable data processing approaches.
• Integrate AI solutions into production workflows and optimize them for accuracy, reliability, latency, scalability, and cost-efficiency.
• Contribute to technical architecture and design decisions, including model, framework, and tool selection; proactively identify technical risks, improvement opportunities and proactively propose solutions.
• Work with business and domain stakeholders to translate business needs into practical, scalable, and production-ready AI solutions, clearly communicating technical decisions and model limitations.
• Identify technical risks, limitations, and opportunities for improvement and proactively propose solutions.

Requirements:

• 4+ years of experience in machine learning, AI engineering, applied data science, or related fields.
• Strong Python skills and hands-on experience with ML frameworks such as scikit-learn, XGBoost, TensorFlow, or PyTorch.
• Strong practical experience with LLMs, NLP, or GenAI applications, including prompt engineering, embeddings, text processing, summarization, or similar use cases.
• Solid hands-on experience designing and implementing RAG architectures, vector databases, and retrieval strategies.
• Strong understanding of the ML lifecycle, including data preparation, feature engineering, model development, evaluation, deployment, and monitoring.
• Experience working with both structured and unstructured data, including tabular data, time series, text, and documents.
• Ability to independently analyze ambiguous problems, propose technical approaches, and drive solutions from concept to implementation.
• Strong communication skills, with the ability to explain AI concepts, technical decisions, and model behavior to non-technical stakeholders.
• Upper-Intermediate English or higher.

Nice to Have:

• Proficiency in Foundry Ontology, Object Builders, and Code Repositories.
• Experience in big pharma or highly regulated industries.
• Knowledge of data privacy, compliance, and security best practices in AI applications.
• Familiarity with cloud platforms (AWS, GCP, or Azure) and containerization (Docker, Kubernetes)

We offer*:

• Flexible working format - remote, office-based or flexible
• A competitive salary and good compensation package
• Personalized career growth
• Professional development tools (mentorship program, tech talks and trainings, centers of excellence, and more)
• Active tech communities with regular knowledge sharing
• Education reimbursement
• Memorable anniversary presents
• Corporate events and team buildings
• Other location-specific benefits

*not applicable for freelancers

Full Stack (Backend focused) Engineer

[Freelance, Full-time, Remote]

SNEAK PEEK

⇨ Location: Remote, GMT+0/GMT+4

⇨ Interview process: HR interview + take-home challenge ⇨ Technical Interview ⇨ Final Interview

WHO ARE WE? 

At Rounds, we believe in harnessing the power of cutting-edge technology to drive business success. Our transformative, AI technology identifies and optimizes mobile assets, while our team of experts, with their unparalleled human capital and business acumen, provides the strategic direction and support to turn mobile assets into profitable businesses. Together, we are revolutionizing the mobile industry. 

THE ROLE

This is a backend-focused Full-Stack Engineering role to architect complex core platform systems and expand internal tools. It involves shipping production-grade server-side features in Go while contributing to the React frontend to deliver complete end-to-end features.

You will design and deploy production AI/LLM functionality directly into our product ecosystem while leveraging AI tools day-to-day to accelerate development

Responsibilities

• Architect, build, and maintain scalable backend services and core platform systems in Go and NodeJS/TS.
• Design and ship production-grade AI/LLM integrations, intelligent features, and internal tools.
• Develop intuitive, responsive user interfaces in React to deliver complete end-to-end functionality.
• Utilize modern AI tools and agents (such as Cursor, Claude, and GitHub Copilot) to accelerate daily coding, testing, and system design.
• Collaborate closely with team members to assess architecture risks, estimate timelines, and optimize system performance.

WHAT ARE WE LOOKING FOR?

Must-have:

• 5+ years of commercial experience building and running large-scale, production systems
• 3+ years of production experience with Go/NodeJS/TS on the backend - or strong production experience with another backend language (e.g. Java, C#) 
• Hands-on production experience building AI/LLM-powered features into a product (e.g. RAG pipelines, agentic workflows, LLM API integrations, prompt-driven features) - not just personal experimentation.
• Working proficiency in React (or a similar modern UI framework) and comfort moving between frontend and backend code as needed
• Experience with cloud platforms and their core services (AWS, GCP, or similar)
• Experience with at least two of the following: MySQL, PostgreSQL, MongoDB (or other NoSQL DB), Redis
• Excellent written and verbal communication skills in English

Nice-to-have:

• Experience with broader ML/data science technology beyond LLM-based features
• Experience fine-tuning models or working with model evaluation/observability tooling, building harnesses.
• Prior contributions to open-source projects or libraries

INTERESTED?

Our recruitment process consists of the following steps: 

• HR Interview (30 min) - Discuss your background and fit.
• Take-Home Challenge (~2 hours of work) - Practical assignment reflecting real work.
• Technical Interview (60 min) - Evaluate project, AI and software development skills.
• Final Interview (60 min) 

Creatio Developer

Front System Team

Information Technology Department

The Front System Directorate Team is looking for a colleague for the position of Creatio Developer.

The main mission of this role is to develop critical modules in CRM Creatio and implement integration mechanisms.

What you will do:

• Full-stack development on the Creatio platform:
  • Backend: Business logic in C#, development of web services and event handlers.
  • Frontend: UI configuration (Freedom UI / Classic), client-side logic in JS.
• Implement integrations with banking systems (ABS, MConnect, Asterisk, S3).
• Develop and optimize business processes (BPMN).
• Create printed forms and reports.

• Participate in code reviews and team discussions about architecture.

   

What we are looking for:

• Excellent knowledge of C# .NET (Backend) and JS/TS.
• Commercial experience in C# .NET and T-SQL / PL-SQL development.
• At least 2 years of experience with the Creatio platform.
• Understanding of how REST/SOAP APIs work.

• Ability to understand existing code and work effectively in a team.

   

Will be an advantage:

• Experience in FinTech / banking (understanding the specifics of ABS and security requirements).
• Experience with Kafka and Redis.

• Experience in development with Freedom UI (Angular).

   

Why join us?

• High load and challenges: We are building the front system for the largest bank in the country. This is not about maintaining an old system, but about creating a new architecture from scratch (Kafka, microservices support, Modular Monolith).
• Modern technologies: No legacy, just a modern tech stack. We work with Freedom UI, CI/CD, and Docker.
• Real impact: You will directly influence how one million customers interact with the bank, not just resolve tickets.

What benefits will you have?

• An individual professional development and career advancement plan.
• Performance bonuses based on your results.
• Ongoing training to develop your professional and personal skills.
• Participation in various interest clubs and team-building activities organized by our team.
• Favorable terms on the bank's products for employees.

About Llama Luna Apps

We're an enthusiastic team of 10 building and pushing iOS apps in Health & Wellness. Five years on the market, 8M+ combined downloads, a 4.9 average App Store rating, an App Store App of the Year winner, and Apple Design Award finalist.

Our apps:

• Waterllama — our flagship, a llama-themed water tracker with more features than you knew you needed
• Foodllama — AI calorie tracker with adorable llama design
• Pinkllama — the cutest period tracker, featuring our signature llama character
• Mindllama — sleep, focus, and mindfulness, of course with a llama
• App #5 — launching soon, and you'll help take it to market.

We keep the team small and the bar high — everyone here is an A-player in their craft, and we work hard to keep it that way. That's what makes the output strong and the work actually fun.

Who we're looking for:

A professional who moves fast and thinks in experiments. We don't sit in approval cycles, we don't write strategy decks for the sake of decks, and we don't wait for the perfect plan - we test, measure, and iterate. We need someone who works the same way: forms hypotheses, ships them quickly, kills what doesn't work, and doubles down on what does.

What you'll own:

• Influencer partnerships — sourcing, negotiating, briefing, tracking results
• Organic UGC at scale — TikTok, Instagram, X, Lemon8 across multiple accounts, fast iteration
• ASO and Apple Search Ads — full ownership
• AI automation across the function — we already use AI in content production; you'll build workflows, not just use tools.

You'll work with our designer, marketing, and content specialist, and report directly to the Co-founder & COO.

You're a fit if you have:

• 3+ years of hands-on mobile app growth (paid + organic + influencer)
• Influencer deals end-to-end — sourcing, negotiating, measuring
• UGC at scale across multiple accounts with content that performed
• AI-native working style - you build automations, not just prompts
• Subscription monetization fluency (trials, paywalls, funnel logic)
• iPhone user.

Bonus: ASO and Apple Search Ads & launching apps from zero.

Schedule

Available in chats during 13:00-22:00 Kyiv time. This overlaps US influencer/partner conversations and our internal founder team's hours.

Hiring process

1. Short Google form
2. Video intro
3. 2 Test tasks: #1 unpaid (up to 1h); #2 paid (up to 4h)
4. Call with Co-founder — fit, terms, onboarding
5. Offer

We respond fast and at every step.

What we offer

• 24 paid vacation days per year + public holidays. Unused days roll over into the next year - we don't pressure you to "use it or lose it"
• 10 paid sick days per year, no doctor's notes or bureaucracy required
• Fully remote

Lead Generation Specialist (US Market) — Remote

Binotel is a SaaS company with 15 years of experience in business communications. We’re expanding into the US market and looking for a Lead Generation Specialist to help us build a strong pipeline of B2B prospects.

If you enjoy researching companies, finding the right decision-makers, communicating with potential clients, and turning cold prospects into qualified opportunities — this role could be a great fit.

What you’ll do

• Research US-based companies and identify potential B2B customers.
• Find and qualify decision-makers and key contacts.
• Build targeted prospect lists using LinkedIn, databases, Google, and other research tools.
• Conduct outbound outreach via email, LinkedIn, phone, and other channels.
• Personalize outreach based on the prospect’s business and potential needs.
• Qualify leads according to our ICP and qualification criteria.
• Initiate conversations and identify potential business needs.
• Book qualified meetings for the Sales team.
• Keep prospect and activity data accurate in CRM.
• Track outreach results, conversion rates, and other lead generation metrics.
• Continuously test and improve outreach approaches.

What we’re looking for

• 1+ year of experience in lead generation, SDR, BDR, or outbound sales.
• Experience working with US or other international markets is a strong advantage.
• Confident English — C1+, both written and spoken.
• Experience with cold outreach and prospect research.
• Ability to quickly understand a business, identify the right contact, and start a relevant conversation.
• Strong research and communication skills.
• Comfortable working with numbers, CRM, and performance metrics.
• Proactive, persistent, and results-oriented mindset.

What we offer

• 💻 100% remote work
• 🕒 3:00 PM–12:00 AM Kyiv time, aligned with the US business day
• 💰 Competitive fixed salary + performance-based bonuses
• 📈 Clear career growth into Senior Lead Generation Specialist / SDR / B2B Sales Manager
• 🎓 Structured onboarding and support from an experienced team
• 🚀 Established SaaS product with an active US market expansion
• 🤝 Opportunity to work closely with an international sales team and directly influence the sales pipeline

If you know how to turn a cold list into real conversations — we’d love to meet you!

B2B Sales Manager (US Market) — Remote

Binotel is a SaaS company with 15 years of experience in business communications. We’re expanding into the US market and looking for a B2B Sales Manager to join our international sales team.

If you’re confident on the phone, enjoy negotiations, aren’t afraid of cold outreach, and want your income to grow with your results — we’d love to hear from you.

What you’ll do

• Own the full sales cycle — from the first contact to a signed contract.
• Conduct discovery calls, demos, negotiations, and follow-ups with US-based businesses.
• Prospect and generate new B2B opportunities through outbound and cold outreach.
• Identify customer needs and offer relevant solutions from our product ecosystem: Cloud PBX, Call Tracking, CRM, Online Chat, and business automation tools.
• Handle objections and negotiate with decision-makers.
• Build long-term relationships with B2B clients.
• Keep CRM data up to date and maintain an accurate sales forecast.
• Consistently achieve monthly sales targets and KPIs.

What we’re looking for

• 1+ year of B2B sales experience, ideally in SaaS, IT, telecom, or a related industry.
• Hands-on experience with outbound and cold sales.
• English C1+ — confident communication with native speakers, including calls and negotiations.
• Strong communication and negotiation skills.
• A results-oriented mindset and willingness to take ownership of your numbers.
• Ability to work independently in a remote environment.

What you’ll get

• 💻 100% remote work
• 🕒 3:00 PM–12:00 AM Kyiv time, aligned with the US business day
• 💰 Competitive fixed salary + uncapped commission
• 📈 Clear career growth opportunities: Senior Sales Manager → Team Lead
• 🎓 Structured onboarding and support from an experienced team
• 🚀 An established SaaS product with an active US market expansion
• 🤝 A team where your results directly influence your income and growth

Ready to take ownership of the US sales process and grow with an international team? Apply and let’s talk!

ScrumLaunch is a software development company supporting fast-growing US startups across various industries, with locations in Los Angeles, CA, and Portland, OR. We partner with startups by embedding product and engineering teams directly into their core operations.

For this role, we are looking for a Senior Product Manager to own consumer-facing mobile and scheduling products from concept through launch and iteration. This role is ideal for a PM who has built B2C products used by real consumers on a daily basis, has deep familiarity with booking/scheduling/availability logic, and knows how to design transactional flows (booking, payment, cancellation, membership) that feel effortless even when the underlying business rules are complex.

You will be responsible for defining the end-to-end member/user experience across mobile and web surfaces, working closely with Engineering, Design, and Data teams to ship features that drive engagement, retention, and conversion. This includes designing booking and scheduling logic, membership/eligibility rules, multi-location or multi-tenant product behavior, and notification/lifecycle flows. You will also be expected to identify where AI agents and automation can meaningfully improve the consumer experience — from personalized recommendations to proactive, agent-driven suggestions — while keeping the product simple and trustworthy for end users.

This is a hands-on, high-ownership role for a PM who thinks in terms of user journeys and funnels as much as backlogs, and who is comfortable managing the operational complexity that comes with real-time availability, payments, and multi-party bookings.

Requirements

Must Have

• 5+ years of Product Management experience, with a strong track record of building and scaling B2C products used directly by consumers.
• Proven experience owning mobile applications (iOS and/or Android) from requirements through release, including app-store considerations, mobile-specific UX constraints, and cross-platform prioritization.
• Direct experience with scheduling, booking, appointment, calendar, or resource-availability systems — including handling double-booking prevention, real-time availability, cancellation/refund policy logic, and multi-party transactions.
• Experience designing and documenting complex consumer transactional workflows (e.g., booking + payment + split payment, membership eligibility, multi-step checkout).
• AI Agent orchestration experience — practical experience scoping, designing, or delivering AI-agent-driven features such as personalized recommendations, proactive notifications, conversational assistants, or automated matching/suggestion engines.
• Strong product analytics skills: comfortable defining KPIs, working with funnels/cohort data, and using data to prioritize the roadmap.
• Experience managing products with multi-location, multi-tenant, or multi-market complexity (e.g., different pricing, policies, or configurations per location).
• Strong cross-functional collaboration skills across Engineering, Design, QA, and Marketing/Growth.
• Strong documentation skills: PRDs, user journeys, functional requirements, and acceptance criteria for consumer-facing features.

• Experience working within Agile delivery environments, including backlog prioritization and release planning.

   

Nice to Have / Would Be a Plus

• Experience with membership, subscription, or loyalty program products (tiered pricing, lifecycle automation, points/rewards).
• Experience with CRM or lifecycle marketing automation (segmentation, triggered campaigns, churn/win-back flows).
• Experience migrating consumer users off a third-party booking/scheduling vendor onto an owned platform.
• Familiarity with payment processing integrations (e.g., Stripe or equivalent), including split payments and refund logic.
• Experience with social or community features layered on top of a transactional product (e.g., matchmaking, groups, activity feeds).

• Background in hospitality, fitness, wellness, sports, or other appointment-driven consumer verticals.

   

What Makes Someone Successful in This Role

• Thinks like a consumer first — obsessive about reducing friction in booking, payment, and everyday usage flows.
• Comfortable translating messy, real-world operational rules (cancellation windows, eligibility, multi-location pricing) into clean, scalable product logic.
• Data-driven: uses analytics and user behavior to prioritize, not just stakeholder opinion.
• Strong at balancing near-term feature delivery with long-term platform scalability (e.g., supporting new locations/markets without re-architecture).
• Pragmatic about where AI adds real consumer value versus where it adds complexity without benefit.
• Effective at aligning Engineering, Design, and Growth around a shared view of the user journey.
• Comfortable owning ambiguity in fast-moving, growth-oriented environments.

• Detail-oriented about edge cases — the PM who catches the double-booking, the abandoned-cart, or the mid-cycle proration case before it ships.

   

Responsibilities

• Own the end-to-end roadmap for consumer-facing mobile and web product experiences.
• Define and document booking/scheduling logic, including availability rules, eligibility, cancellation/refund policy, and multi-party or split transactions.
• Translate business and operational rules into clear PRDs, user journeys, functional requirements, and acceptance criteria.
• Partner with Engineering and Architecture on technical feasibility for real-time availability, payments, and multi-location/multi-tenant logic.
• Scope and define AI-agent-driven features (e.g., personalized recommendations, proactive suggestions, automated matching) with clear success criteria and guardrails.
• Manage backlog prioritization, sprint planning, refinement, and release planning for the consumer product.
• Define and track product KPIs (conversion, retention, engagement, booking completion rate) and translate insights into roadmap priorities.
• Collaborate with Design on user flows, wireframes, and usability validation for mobile-first experiences.
• Coordinate cross-functional teams (Engineering, QA, Design, Growth/Marketing) through discovery, build, and launch.
• Own membership, loyalty, or lifecycle feature definition where applicable, including automation of renewal/upgrade/downgrade flows.
• Identify and resolve dependencies, risks, and blockers across mobile, backend, and third-party integration workstreams.
• Facilitate product demos, stakeholder reviews, and go-to-market readiness checkpoints.
• Maintain roadmap documentation, decision logs, and product performance reporting.

• Continuously iterate on the product based on usage data, user feedback, and market/competitive analysis.

   

Tools

• Jira, Linear, or similar project management platforms
• Notion, Confluence, or similar documentation tools
• Figma
• Slack
• GitHub, Cursor, and agentic development tooling
• Product analytics platforms (e.g., Amplitude, Mixpanel, or equivalent)

• Payment and scheduling infrastructure familiarity (e.g., Stripe, calendar/availability engines) 

   

Cooperation terms

• B2B cooperation under a Consulting Agreement
• 12 days of Paid Time Off per year
• 5 days of Medical Time Off per year
• 3 paid holidays per year
• Psychologist Consultations for mental well-being
• Professional Development Budget — courses and conferences
• English lessons

Full-time
Salary: $800–$1500/month, reviewed after 3 months based on delivery

About CubicMind AI
CubicMind AI Ltd is a UK deep tech startup building a small plug-in device that operates any computer like a person: it reads the screen, listens to the user, and clicks and types to complete tasks. Everything runs on the device itself, with no cloud.

https://cubicmind-ai.com
 

We design our own models rather than wrapping someone else's. That includes transformer and non-transformer architectures, built around what runs fast on edge hardware, and sometimes trained from scratch.

About the role
You will work on designing, training and optimising the models that power the device: screen understanding, action prediction and efficient on-chip inference.

This is research-heavy engineering. You will work on model architecture, training runs, attention and memory bottlenecks, low-bit compression, and getting models to run correctly on real hardware.
 

What you will do
- Design and implement new model architectures in PyTorch, both transformer-based and beyond
- Train models, sometimes from scratch, and run experiments to compare architectures
- Build training and evaluation pipelines on screen-understanding and computer-control data
- Profile latency, memory use and KV-cache behaviour on long, high-resolution screen inputs
- Compress models for edge chips using quantisation (INT8/INT4), pruning and distillation
- Export models to low-level runtimes and fix unsupported operators
- Work with our C++ team to get models running efficiently on the device
 

Requirements

- Deep architectural understanding of Transformers and Attention: you know the mathematical and operational differences between MHA, MQA, GQA, FlashAttention, and linear attention variants; you understand KV-cache scaling and memory access bottlenecks. 

- Low-level PyTorch fluency: writing custom PyTorch modules, implementing non-standard forward/backward logic, vectorised tensor operations, and profiling memory/compute bottlenecks using PyTorch Profiler / Nsight.

- Experience with model training & convergence: stability tricks, learning rate schedules, gradient clipping, mixed-precision training (BF16/FP16), and diagnosing loss spikes or exploding/vanishing gradients.

- Rigorous mathematical foundation: comfortable with high-dimensional linear algebra, matrix calculus, multivariable optimization, and probability theory.

- Practical understanding of model compression: Post-Training Quantization (PTQ) vs Quantization-Aware Training (QAT), outlier activations, weight-only vs weight-and-activation quantization (INT8, INT4, FP8).

- You read papers, implement ideas yourself, and debug by inspecting real activations rather than guessing

- Сommit full-time
 

Nice to have
- Experience with vision transformers or vision-language models
- Interest in non-transformer architectures (state-space models, linear attention, recurrent designs)
- Experience exporting to ONNX, TensorRT, OpenVINO or NPU toolchains
- Basic C++, enough to read inference code
- Degree in Applied Mathematics, Computer Science or Physics
 

What we offer
- Real ownership of the core models in a hardware product built from the ground up
- Work directly with the founder, with no bureaucracy
- $800–$1,200/month depending on experience, reviewed after 3 months based on results
- Fully remote, judged on results, not hours logged

About the role 

We are looking for a Solution Architect to join the Lead Architect on a healthcare client engagement: first as a hands-on partner during discovery, then as the architect who owns and leads the implementation. Typical projects are modernization of medical information systems (MIS/EHR), building new digital health products and platforms, and integrating the fragmented systems of clinic and hospital networks. 

How the role evolves: 

1. Discovery: work side by side with the Lead Architect: workshops, as-is analysis, target architecture, roadmap, estimate. 

2. Implementation: take ownership of the architecture and lead the technical side of delivery within a dedicated team (Delivery Director, PM, engineers). 

    

Responsibilities 

• Co-run workshops with client business and IT; analyze the as-is landscape: systems, data flows, integrations, infrastructure, databases. 
• Own selected discovery streams end to end (e.g. integrations, data, infrastructure) and turn findings into documented decisions. 
• Co-design the target (to-be) architecture and transition strategy: build vs buy, sequencing, risks. 
• Design the integration layer / API facade over legacy systems. 
• Assess regulatory and security requirements for the client's domain (personal data, industry standards). 
• Define non-functional requirements: resilience, DR, security, scalability, cost. 
• Contribute to the roadmap, estimate, team composition and ADRs. 

Implementation (leading) 

• Own the solution architecture through delivery and keep it aligned with the discovery outcome. 
• Lead the engineering team technically: break down the architecture into epics, set standards, run design/code reviews. 
• Drive integrations, data migration and phased replacement of legacy components. 
• Coordinate with the client's IT, incumbent and 3rd-party vendors. 
• Support certifications and audits where the domain requires them. 
• Manage architectural risks and technical debt; report status and decisions to the Lead Architect and Delivery Director. 

Must have 

• 8+ years in software development, including 3+ years as a Solution / Enterprise Architect. 
• Proven experience leading implementation as an architect or tech lead: owning the architecture through delivery and guiding a team of engineers. 
• Strong knowledge of architectural patterns: microservices and modular monoliths, event-driven, CQRS, strangler fig, integration and resilience patterns. 
• Ability to create clear architecture documentation: C4 model diagrams, ADRs, solution design documents. 
• Integration architecture: REST/SOAP/gRPC APIs, API gateways, event-driven, CDC. 
• Relational databases, data modeling and migration, DWH/analytics fundamentals. 
• Cloud-native and on-prem/hybrid architecture OCI (Oracle), containers, DR and resilience. 
• Hands-on experience building AI harnesses: LLM integration, agent and tool orchestration, RAG, context management, evaluation and guardrails in production. 
• Hands-on background in at least one stack (.NET or Java) and the ability to assess others. 

Nice to have 

• Experience in healthcare IT: MIS/HIS/EHR, patient apps, health insurance integrations. 
• Healthcare standards and compliance: HL7 FHIR, national eHealth systems, medical data protection, ISO 27001. 
• Experience integrating with enterprise and third-party systems. 
• Architecture certifications (SEI, AWS/Azure Solutions Architect). 

Soft skills 

• Communicates with the client's C-level and IT leadership; explains trade-offs in business terms. 
• Works independently with incomplete information: forms hypotheses and validates them. 
• Produces structured artifacts: diagrams, ADRs, roadmaps, risk registers. Mentors engineers and builds shared ownership of the architecture

ABOUT MEGAFAIR
MEGAFAIR is an international iGaming provider developing slot and skill-based games for partners across global markets.

Our distributed team brings together expertise across Product, Technology, Mathematics, Art, Commercial, and Operations. We work in a fast-moving environment built around direct communication, clear ownership, and a strong focus on quality, execution, and measurable results.

We’re looking for professionals who are comfortable taking responsibility, making decisions, and contributing their expertise to products built for international markets.

If you’re looking for a role where your expertise can have a direct impact on the product and the business, we’d be glad to hear from you. Apply to join MEGAFAIR and let’s start the conversation.

REQUIREMENTS

• 2+ years of account management experience in the iGaming industry, preferably on the game provider side;
• Experience managing relationships with casino operators, aggregators, or gaming platforms;
• Good understanding of the iGaming ecosystem, casino games, slots, and B2B partnerships;
• Proven ability to build, maintain, and develop long-term relationships with existing partners;
• Experience managing partner accounts, identifying growth opportunities, and increasing account performance;
• Strong communication, presentation, negotiation, and relationship management skills;
• Ability to understand partners’ business needs and propose relevant products and commercial solutions;
• Experience working with commercial agreements, partnership terms, and account performance metrics;
• English level B2+.

WE OFFER

• Compensation: competitive salary;
• Tech tools: modern technical equipment;
• Time Off: 20 vacation days, 10 sick days annually;
• Work-Life Balance: flexible remote options without time tracking;
• Language Learning: reimbursement for foreign language courses;
• Support network: work with a team you can learn from every day;
• Diversity: we pride ourselves on our international working environment;
• Power supply: compensation for electricity, power banks, generator fuel, etc.;
• Professional Growth: emphasis on internal promotions for career advancement.

RESPONSIBILITIES

• Manage and develop relationships with existing iGaming operators, aggregators, and platform partners;
• Act as the primary point of contact for assigned partners, ensuring effective communication and a high level of service;
• Build and maintain strong, long-term relationships with partners to drive satisfaction, retention, and business growth;
• Identify opportunities to grow existing accounts through new game launches, additional integrations, and commercial initiatives;
• Monitor partner performance, analyze key metrics, and identify opportunities to improve results;
• Understand partners’ business needs and propose relevant products and commercial solutions;
• Coordinate new game releases, promotional activities, and other initiatives with partners;
• Conduct regular partner meetings, performance reviews, and follow-ups;
• Collaborate closely with Product, Marketing, Integration, Technical Support, and Commercial teams to ensure a smooth partner experience;
• Handle partner requests, resolve issues, and coordinate internal resources to ensure timely solutions;
• Maintain accurate and up-to-date partner information, communication history, and account activities in CRM;
• Represent MEGAFAIR at international iGaming conferences, exhibitions, and business meetings.

CANDIDATE JOURNEY
Interview with CHRO → Interview with CCO → Interview with CEO → Job Offer

We are looking for a VIP Sales Manager who enjoys communication, sales, and working towards ambitious results.
 

In this role, you will work with VIP clients, build long-term relationships, increase player activity, and directly influence your income through your performance.
 

What you’ll do:

• Communicate with VIP clients via phone, messengers, and email;
• Build strong and long-term relationships with clients;
• Identify client needs and offer personalized solutions;
• Increase player activity and deposits;
• Work with both active and inactive clients;
• Reactivate and retain VIP players;
• Achieve individual KPI and sales targets;
• Work with CRM and maintain client information.
   

What we’re looking for:

• At least 6 months of experience in Sales, VIP Management, Retention, or other client-facing roles;
• Strong communication skills and confidence when working with clients;
• Genuine interest in sales and achieving results;
• Ability to understand client needs and influence decision-making;
• Comfortable working with KPI and performance targets;
• Fluent Ukrainian and Russian;
• Experience in iGaming will be a plus but is not required;
• English will be an advantage.
   

What we offer:

• Fully remote work;
• Competitive compensation with a strong performance-based component;
• The opportunity to directly influence your income through your results;
• Paid vacation and sick leave;
• Professional onboarding and team support;
• Career growth opportunities within the company;
• Access to consultations with a corporate psychologist;
• Various internal activities and initiatives for employees.
   

If you enjoy sales, communication, and working towards ambitious goals, we’d be happy to meet you!

Requirements:

● Higher education in Business, Marketing, Economics, or a related field.
● Minimum 2 years of experience in active B2B sales with self-generated leads.
● Strong communication and negotiation skills with the ability to independently present and sell products and services.
● Proven ability to prospect, initiate contact, and build a sales pipeline from scratch (cold outreach, networking, partnerships).
● Ability to work in a team and achieve shared business goals.
● Understanding of the IT market, B2B SaaS / IT services sales, and current technology trends is a strong plus.
● High level of self-motivation, ownership, and result-oriented mindset.

Responsibilities:

● Independently search for and attract new corporate clients using outbound channels (cold emails, LinkedIn, calls, partnerships, events).
● Proactively promote the company’s products and services without reliance on inbound leads or paid traffic.
● Conduct negotiations with decision-makers and close B2B contracts across various industries.
● Build, maintain, and grow long-term relationships with clients from first contact to deal closure and further cooperation.
● Continuously analyze market trends, target industries, and competitors to identify new sales opportunities.
● Participate in shaping and executing outbound sales strategies for entering and scaling in the IT / B2B market.

We offer:

● Competitive salary + performance-based bonuses tied to closed deals.
● Transparent professional and career growth model with clear KPIs.
● 5/2 working week with a flexible schedule.
● High level of autonomy and influence on sales strategy and results.

We are looking for an experienced Senior / Lead Data Analytics Manager to build and lead the analytics function for our Cards & Wallets business.

This is a hands-on role for someone who enjoys working with large-scale transactional data, building analytical infrastructure from the ground up, and turning complex datasets into actionable business insights.

You will work closely with Commercial, Finance, Product, and Operations teams, helping them make data-driven decisions through reliable analytics, dashboards, and reporting.

What You'll Do

Build the Analytics Foundation

• Design and build an end-to-end analytics infrastructure for the Cards & Wallets business.
• Design and maintain analytical data models, data marts, and reporting datasets.
• Build and improve the company's analytical Data Lake.
• Ensure data consistency, quality, and reliability across multiple systems.
• Create a unified customer view across different data sources.

Business & Product Analytics

• Analyze large transactional datasets to identify trends, customer behavior, and business opportunities.
• Build customer segmentation, cohort analysis, retention analysis, and LTV models.
• Analyze transaction behavior across products, BINs, merchants, geographies, and customer segments.
• Identify business patterns and proactively suggest improvements based on data.

BI & Dashboards

• Design and develop business dashboards using Tableau, Power BI, Metabase, or similar BI platforms.
• Build dashboards that become daily decision-making tools for Commercial, Finance, Product, and Operations teams.
• Automate recurring reporting and reduce manual reporting efforts.
• Ensure the accuracy and consistency of analytical reports.

Commercial Analytics

• Support pricing analysis and unit economics through data-driven insights.
• Analyze transaction profitability and business performance.
• Build analytical models to evaluate pricing changes and business scenarios.
• Help commercial teams understand customer behavior and revenue opportunities.

Executive Reporting

• Prepare analytical reports for senior management.
• Transform complex data into clear recommendations and actionable insights.
• Work closely with business stakeholders to answer analytical questions and support strategic decisions.

Build the Analytics Function

• Own the analytics function for the Cards & Wallets direction.
• Prioritize analytical requests from different business teams.
• Help define the future BI architecture and analytics processes.
• As the function grows, participate in building and mentoring the analytics team.

Requirements

• 5+ years of experience in Data Analytics, BI, Product Analytics, or Commercial Analytics.
• Strong SQL skills, including: Window Functions, CTEs, Query optimization, Large transactional datasets.
• Experience building analytical data models and data marts from scratch.
• Experience working with Data Warehouses and/or Data Lakes.
• Hands-on experience with Tableau, Power BI, Metabase, or similar BI platforms.
• Experience designing dashboards that are actively used by business teams.
• Strong analytical thinking with the ability to identify patterns, trends, and business opportunities in large datasets.
• Experience automating reporting and improving analytical processes.
• Ability to communicate analytical findings clearly to both technical and non-technical stakeholders.
• B2+ (C1 preferred).

Nice to Have

• Experience in FinTech, Payments, Banking, Card Issuing, Acquiring, PSP, Digital Wallets, or Neobanking.
• Experience working with transaction-level data.
• Understanding of payment flows and transaction lifecycle.
• Experience with pricing analytics, unit economics, or profitability analysis.
• Experience building alerting systems and automated business monitoring.
• Previous leadership or mentoring experience.

Why Join Us?

• Build the analytics function from the ground up.
• Work directly with Commercial, Finance, Product, and executive leadership.
• Own the analytics architecture and influence business decisions.
• Solve complex analytical challenges using real transaction data.
• Grow into the Head of Analytics for the Cards & Wallets business.