Jobs at Djinni

About Us 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems. 

We’re building an AI-native CRM platform that completely redefines how sales automation works. 
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface. 

Our mission: to build a CRM that works for User, not the other way around. 

About the Role 

We’re looking for a Senior Python AI Engineer to join our core team and take ownership of GenAI and RAG pipelines in production. 

This role is ideal for engineers who enjoy ambiguity, move fast, and want their work to be visible in the product from day one. 
We focus on outcomes, not ceremonies –  minimal bureaucracy, fast decisions, real ownership. 

What You’ll Do 

• Design, build, and maintain production-grade GenAI / RAG pipelines 
• Integrate LLMs and agentic assistants into real business workflows 
• Build and operate vector search, embedding stores, and knowledge graphs 
• Ingest, clean, enrich, and structure large external data streams 
• Experiment with new GenAI frameworks, tools, and multi-agent systems 
• Improve reliability, latency, and cost-efficiency of AI pipelines 
• Mentor engineers and share best practices across the team 

What We’re Looking For 

• Strong Python backend experience (FastAPI, async, APIs) 
• Hands-on experience with LLMs in production (OpenAI-family or similar) 
• Practical experience with RAG pipelines, embeddings, vector stores 
  LangChain / LangGraph / LangSmith or similar orchestration frameworks 
  SQL, data processing (Pandas), ETL / data cleaning 
• Docker, CI/CD, Git; experience deploying to cloud (Azure preferred) 
• Ability to work independently in a fast-moving startup environment 
• Good English for documentation and technical communication 

Nice to have 

• Graph databases and graph-based retrieval (Neo4j, NetworkX) 
• Kafka / Azure EventHub 
• Multi-agent LLM frameworks 
• Production ML / NLP experience 

Why Join Us 

• Remote-first – work from anywhere 
• Flexible schedule aligned with the European time zone 
• High impact – your work goes live, not into a backlog 
• Strong technical ownership and influence on architecture 
• Competitive compensation: $6,000-$9,000 
• Core team role in an AI-native product built from scratch 

Role Overview

The Talent Acquisition Researcher is responsible for identifying, engaging, and nurturing relationships with potential candidates aligned with INSART’s strategic hiring needs.

This role combines talent research with proactive candidate communication. The Researcher builds and maintains warm pipelines of both active and passive candidates, establishes trust-based relationships through written communication, and validates candidate fit before handing them over to Recruiters for screening interviews.

The Talent Acquisition Researcher acts as the first human touchpoint in the hiring funnel — ensuring that only relevant, interested, and pre-qualified candidates reach the formal screening stage.

Team Composition

Head of People&Operations, 2 Talent Acquisition Specialists, Talent Acquisition Lead

Expected Outcomes

• Qualified Talent Pipelines

Structured talent pipelines created for priority roles (including candidate profiles, sourcing channels, and engagement status), reviewed and confirmed as relevant by Talent Acquisition Lead/Recruiter/Hiring Manager.

• Pre-Screened Candidate Shortlists

Shortlists of candidates who meet agreed qualification criteria (skills, experience, seniority, market fit), submitted with pre-screening notes and sourcing context.

• Sourcing-to-Hire Contribution

Actively contributes to successful hires by delivering high-quality, pre-screened candidates that progress through the hiring process.

• Market & Role Insight

Provides market feedback that impacts hiring decisions (salary ranges, availability, skill gaps).

Competencies

• Talent Market Research & Mapping
  Ability to identify where relevant talent exists, which companies to target, and which channels produce the best candidates.
• Boolean & Advanced Sourcing Skills
  Confident use of LinkedIn, job boards, social platforms, professional communities, and search techniques to find hard-to-reach specialists.
• Profile Evaluation & Matching
  Ability to quickly assess CVs, LinkedIn profiles, and portfolios to determine alignment with role requirements and seniority level.
• Structured Candidate Pre-screening
  Can conduct short pre-screening interactions with candidates via messaging (LinkedIn, email, or other text channels) to validate motivation, availability, and key qualifications, and document findings clearly and consistently in the ATS.
• Passive Candidate Engagement
  Builds professional, trust-based relationships with passive talent and maintains long-term communication without being pushy.
• Collaboration with Recruiters & Hiring Managers
  Translates hiring needs into clear sourcing criteria and adapts pipelines based on feedback.
• Clear Written Communication (English B2+)
  Writes professional outreach messages and screening summaries that are clear, personalized, and engaging.
• Goal & Outcome Orientation
  Works with clear hiring priorities and measurable targets in mind, focuses on delivering qualified pipelines and shortlists on time, and adjusts sourcing strategies to achieve agreed hiring goals.
• Ownership of Sourcing Outcomes
  Treats sourcing outcomes as personal responsibility, not task completion.
• Risk Identification & Transparency
  Surfaces risks early to enable informed hiring decisions

Interview Process

1. Interview with Talent Acquisition Lead (45 minutes)
2. Interview with Head of People&Operations (60 minutes)
3. Pre-Offer Call (30 minutes)

What sets us apart?
Here are just a few reasons why this position is a standout opportunity:

🚀 Opportunity for Growth: As part of our dynamic and fast-growing team, you’ll have the chance to make a real impact and grow your career in exciting new directions.

🌍 Remote Mode: You can have a fully comfortable mode, just stick to deadlines and attend team meetings.

🕰️ Flexible Schedule: Our cooperation will not have an impact on the work-life balance — this is the most important thing for us. In INSART we are committed to making cooperation enjoyable and comfortable first.

💡 Innovation: We’re constantly pushing the boundaries of what’s possible, so you’ll have the chance to join cutting-edge projects and technologies.

👩‍💻 Diversity and Inclusion: We believe that diversity and inclusion are essential to building a strong and successful team. We welcome people of all backgrounds and experiences to join us.

👥 Collaborative Environment: You’ll stay closely with our talented developers to ensure that our products and features are thoroughly tested and of the highest quality.

📚 Free Learning: We believe in continuous learning and development, so we provide free access to a variety of online learning resources to help you stay up-to-date with the latest technologies and industry trends.

Looking forward to having a mutually interesting conversation with you! 😉

Summary

• 5+ years in data science or data engineering roles;
• Proficient in Python, SQL, and common data tools (Pandas, Plotly, Streamlit, Dash);
• Familiarity with large language models (LLMs) and deploying ML in production;
• This role is NOT focused on BI, data platforms, or research work;
• Good fit: Hands-on, Python-first Applied AI / GenAI engineers with real delivery ownership and client-facing experience;
• No fit: Data platform or BI profiles, architecture-heavy or lead-only roles, research-focused profiles, or candidates with only PoC-level GenAI exposure and no ownership.

Role:

This role is ideal for someone comfortable working throughout the entire pre-sales to delivery lifecycle, rolling up their sleeves to solve complex multi-faceted problems, thrives as a technical communicator, and works well as a key member of a team. 

Requirements:

• 5+ years in data science or data engineering roles;
• Proficient in Python, SQL, and common data tools (pandas, Plotly, Streamlit, Dash); 
• Familiarity with large language models (LLMs) and deploying ML in production;
• Experience working with APIs and interpreting technical documentation;
• Client-facing mindset with clear ownership of decisions and outcomes;

We are looking for a Mid-level DevOps Engineer to join our client’s team in Vilnius. The company operates in gambling game development and maintenance for international partners. Their products are adapted for multiple platforms and browsers (iOS, Android, web).

This role is ideal for an engineer who already has solid hands-on DevOps experience, can work independently on day-to-day tasks, and wants to grow deeper into infrastructure, Kubernetes, and automation.

Responsibilities:

• Design, build, and maintain bare-metal and virtualized infrastructure (Ubuntu, Proxmox).
• Operate and improve Kubernetes clusters (HA setup, upgrades, RBAC, network policies).
• Run Kafka, PostgreSQL, and Redis in production (scaling, backups, failover support).
• Build and maintain CI/CD pipelines using Azure DevOps.
• Implement Infrastructure as Code using Terraform and Ansible.
• Maintain monitoring and alerting (Prometheus, Grafana, logging tools).
• Apply infrastructure security best practices (patching, secrets, least privilege).
• Work closely with developers to improve deployments and system reliability.
• Participate in incident response and system troubleshooting.

Requirements:

• Strong experience with Linux (Ubuntu/Debian) on bare metal and virtual machines.
• Hands-on experience running Kubernetes in production.
• Practical experience with Kafka, PostgreSQL, and Redis.
• Experience with CI/CD pipelines (Azure DevOps or similar).
• Infrastructure automation using Terraform and/or Ansible.
• Good scripting skills (Bash and/or Python).
• Solid Git workflows.
• Good English (spoken & written).

What the company offers:

• Employment contract
• Salary: 3000 – 4800 EUR/month (gross)
• On-site work in Vilnius (partial remote possible after trial period)
• Modern office and infrastructure
• Collaborative, engineering-driven team culture
• Opportunity to work with production Kubernetes and critical infrastructure
• Clear growth path toward Senior / SRE roles

Role Overview:

Our client is expanding the engineering team responsible for ensuring the stability and predictable behaviour of their distributed services and platforms. This role involves hands-on production work, including monitoring, incident response, troubleshooting, and continuous improvements that increase platform reliability over time.

You will work as part of an SRE shift rotation covering late-evening and night hours, ensuring end-to-end ownership of incidents — from identifying user impact to post-incident follow-ups and preventive improvements.

Key Responsibilities:

— Working in shift-based operations: monitoring, alert response, incident handling, escalation when needed;

— Participating in incident handling: initial classification, technical investigation, coordination with engineering teams, and following-up improvements;

— Developing and refining observability across platforms (metrics/alerts, dashboards, logs);

— Reducing operational toil: small automation, runbooks, and repeatable processes (the “make it easier next time” mindset);

— Collaborating with development teams to improve production readiness (basic reliability practices, cleaner incident follow-ups).

Ideal profile for the position:

Core skills:

— Good Linux skills in production environments (debugging basics, system services, logs, performance basics);

— Solid understanding of networking fundamentals (TCP/IP, DNS, HTTP, load balancing basics, TLS fundamentals);

— Experience with containers and image lifecycle basics (Docker or compatible runtimes);

— Ability to troubleshoot across application, network, and infrastructure layers using logs/metrics and simple tools (curl, basic traffic/log analysis; scripting is a plus);

— Basic familiarity with observability: metrics and alerting, dashboards, logging (any modern stack is fine).

Experience:

— 1+ year in a production-focused role (Ops / Support L2+ / DevOps / Junior SRE — what matters is real production exposure);

— Participation in production incidents (triage, investigation, escalation, basic follow-ups);

— Availability to cover late-evening and night shifts, in rotation.

SRE fundamentals (basic understanding):

— You understand the difference between “just running infra” and SRE as a discipline: reliability targets, fast detection, clear escalation, and consistent follow-up;

— You’re familiar with SLI/SLO and can explain them in simple words (high-level understanding is enough).

What will be an advantage:

— Familiarity with Kubernetes (deep production ownership is not required yet);

— Exposure to AWS services such as EC2, ALB/NLB, RDS, S3, and IAM basics;

— Exposure to Terraform and/or Ansible (small changes, basic understanding of principles);

— Experience working in high-availability environments where downtime actually matters.

The company guarantees you the following benefits:

— Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;

— Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision;

— Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers;

— Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location;

— Paid Time Off: Prioritise work-life balance with paid vacation and sick leave days to prevent burnout;

— Career Development: Access continuous learning and career development opportunities to enhance your professional growth;

— Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;

— Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;

— Medical Insurance Support: Choose the right private medical insurance and receive compensation (full or partial) based on the cost;

— Flexible Benefits: Customise your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;

— Education Foundation: Participate in a biannual raffle for a chance to learn something new unrelated to your job as part of your commitment to ongoing education.

Interview process:

— A 30-minute interview with a Recruiter to get to know you and your experience;

— 1st stage of technical interview (1 h) with the DevOps team to assess your theoretical skills;

— 2nd stage of technical interview (1 h) with the DevOps team to assess your hard skills;

— A final interview to gauge your fit with the company culture and working style.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

We are looking for a Full-Stack Software Engineer to join our Digital Engineering team. Our engineers work across the entire product stack — from customer-facing React applications to backend Node.js services running on AWS — giving everyone the opportunity to deliver features end-to-end and avoiding single points of failure.
This role is ideal for engineers who enjoy variety, ownership, and working in a modern cloud-native, SaaS-integrated environment. 

Key Responsibilities: 
Build and deliver end-to-end features across frontend and backend
Develop high-quality, scalable React and Node.js applications using TypeScript
Implement and maintain serverless APIs on AWS
Integrate with SaaS platforms and enterprise systems (CRM / ticketing)
Work with micro-frontend architecture
Use CloudWatch and logs to debug, monitor, and improve reliability
Collaborate closely with product, UX, and IT teams
Participate in code reviews, design discussions, and continuous improvement
Contribute to a culture of shared ownership and no single points of failure

You will contribute across a distributed, cloud-based digital platform that includes:

Frontend
React.js micro-frontends
TypeScript-first development
Integration with a headless CMS (Prismic)
Some React Native applications (e.g., TV apps)

Backend
Node.js serverless services (AWS Lambda)
REST and event-driven APIs
Integrations with SaaS platforms and an enterprise ticketing/CRM system

Platform & Cloud
AWS services: Lambda, DynamoDB, SQS, S3, CloudWatch
CDN layer (Akamai – moving from Fastly)
Bitbucket and Bitbucket Pipelines for CI/CD

Infrastructure (API Gateway, Terraform, Docker) is managed by a separate platform team, allowing you to focus on product delivery rather than cloud plumbing.

Skills & Experience: 

Required
Experience as a Full-Stack Software Engineer
Strong skills in TypeScript
Solid experience with React.js and modern frontend development
Backend experience with Node.js
Familiarity with AWS serverless services (Lambda, DynamoDB, SQS, S3)
Experience working with REST APIs and SaaS integrations
Comfortable working across both frontend and backend
Experience using Git and CI/CD pipelines (Bitbucket preferred)

Nice to Have
Experience with micro-frontends
Experience with headless CMS (e.g., Prismic)
Experience with React Native
Familiarity with CDN setups (Akamai, Fastly)
Experience working with enterprise systems (CRM, ticketing platforms)

We are looking for a Full-Stack Software Engineer to join our Digital Engineering team. Our engineers work across the entire product stack — from customer-facing React applications to backend Node.js services running on AWS — giving everyone the opportunity to deliver features end-to-end and avoiding single points of failure.
This role is ideal for engineers who enjoy variety, ownership, and working in a modern cloud-native, SaaS-integrated environment. 

Key Responsibilities: 
Build and deliver end-to-end features across frontend and backend
Develop high-quality, scalable React and Node.js applications using TypeScript
Implement and maintain serverless APIs on AWS
Integrate with SaaS platforms and enterprise systems (CRM / ticketing)
Work with micro-frontend architecture
Use CloudWatch and logs to debug, monitor, and improve reliability
Collaborate closely with product, UX, and IT teams
Participate in code reviews, design discussions, and continuous improvement
Contribute to a culture of shared ownership and no single points of failure

You will contribute across a distributed, cloud-based digital platform that includes:

Frontend
React.js micro-frontends
TypeScript-first development
Integration with a headless CMS (Prismic)
Some React Native applications (e.g., TV apps)

Backend
Node.js serverless services (AWS Lambda)
REST and event-driven APIs
Integrations with SaaS platforms and an enterprise ticketing/CRM system

Platform & Cloud
AWS services: Lambda, DynamoDB, SQS, S3, CloudWatch
CDN layer (Akamai – moving from Fastly)
Bitbucket and Bitbucket Pipelines for CI/CD

Infrastructure (API Gateway, Terraform, Docker) is managed by a separate platform team, allowing you to focus on product delivery rather than cloud plumbing.

Skills & Experience: 

Required
Experience as a Full-Stack Software Engineer
Strong skills in TypeScript
Solid experience with React.js and modern frontend development
Backend experience with Node.js
Familiarity with AWS serverless services (Lambda, DynamoDB, SQS, S3)
Experience working with REST APIs and SaaS integrations
Comfortable working across both frontend and backend
Experience using Git and CI/CD pipelines (Bitbucket preferred)

Nice to Have
Experience with micro-frontends
Experience with headless CMS (e.g., Prismic)
Experience with React Native
Familiarity with CDN setups (Akamai, Fastly)
Experience working with enterprise systems (CRM, ticketing platforms)

Role Overview:

The Creative Lead (Marketing & Brand) will be responsible for shaping, executing, and maintaining the company's visual presence across marketing, PR, social media, web, and brand initiatives.

This is a hands-on, creative and strategic role that requires both strong creative execution and strategic thinking. The role works closely with marketing leadership, as well as the content, PR, and web teams, to ensure visual consistency, speed, and impact.

The Creative Lead is expected to proactively propose creative ideas, translate business goals into compelling visual concepts, and coordinate execution across multiple formats, including static, motion, and 3D.

Key Responsibilities:

Brand & Visual Identity:

— Own and apply the company's visual brand across all marketing channels;

— Contribute to the refresh and ongoing maintenance of the brand guidelines;

— Ensure consistent use of visual elements, layouts, and styles across all materials;

— Act as a visual quality gate for brand-facing assets;

— Consistently research the market and establish the most effective positioning and creative initiatives to drive brand awareness of the company across all selected geos.

Marketing & Campaign Design:

— Design marketing assets for:

— Social media;

— PR and press communications;

— Brand awareness initiatives;

— Corporate and sales presentations;

— Website and landing pages;

— Develop key visuals and creative concepts for campaigns;

— Ensure all visuals align with marketing strategy and business goals.

3D, Motion & Video Coordination:

— Create and work with 3D elements to enhance brand storytelling;

— Use 3D and motion selectively to support campaigns and brand initiatives;

— Coordinate outsource video production and website redesign;

— Collaborate on motion graphics and animated content where relevant.

Cross-Functional Collaboration:

—Work closely with Head of Marketing and marketing team;

— Participate in marketing planning and campaign meetings;

— Ensure visual alignment is built in from concept to execution.

Independence & Creative Ownership:

— Independently manage design tasks from brief to delivery;

— Proactively suggest new creative ideas, formats, and visual approaches;

— Balance creativity with brand structure, timelines, and business priorities;

— Maintain a high level of ownership and accountability for outcomes.

Ideal profile for the position:

Required skills and experience:

— Proven experience in a marketing, brand, or digital design role;

— Strong portfolio showcasing:

— Brand Redesign and Creative strategic initiative execution;

— Brand and marketing design;

— Digital and social content;

— Motion, video, or 3D work;

— Ability to work independently and manage multiple priorities;

— Strong understanding of branding, visual systems, and consistency;

— Excellent written communication and collaboration skills;

— Ability to manage creative teams;

— English level - B2 or higher.

Tools & Platforms:

— Figma (design systems, collaboration, digital design);

— Adobe Creative Suite, including: Photoshop, Illustrator, After Effects;

— 3D tools, such as: Spline, Cinema 4D (or equivalent);

— Experience coordinating or working within video production workflows;

— Familiarity with web and digital design principles.

Will be a plus:

— Experience in B2B, SaaS, or iGaming;

— Motion graphics or animation expertise;

— Understanding of marketing funnels and brand awareness strategies;

— Experience collaborating with agencies and freelancers.

The company guarantees you the following benefits:

— Global Collaboration: Join an international team where everyone treats each other with respect and moves towards the same goal;

— Autonomy and Responsibility: Enjoy the freedom and responsibility to make decisions without the need for constant supervision;

— Competitive Compensation: Receive competitive salaries reflective of your expertise and knowledge as our partner seeks top performers;

— Remote Work Opportunities: Embrace the flexibility of fully remote work, with the option to visit company offices that align with your current location;

— Flexible Work Schedule: Focus on performance, not hours, with a flexible work schedule that promotes a results-oriented approach;

— Unlimited Paid Time Off: Prioritise work-life balance with unlimited paid vacation and sick leave days to prevent burnout;

— Career Development: Access continuous learning and career development opportunities to enhance your professional growth;

— Corporate Culture: Experience a vibrant corporate atmosphere with exciting parties and team-building events throughout the year;

— Referral Bonuses: Refer talented friends and receive a bonus after they successfully complete their probation period;

— Medical Insurance Support: Choose the right private medical insurance and receive compensation (full or partial) based on the cost;

— Flexible Benefits: Customise your compensation by selecting activities or expenses you'd like the company to cover, such as a gym subscription, language courses, Netflix subscription, spa days, and more;

— Education Foundation: Participate in a biannual raffle for a chance to learn something new unrelated to your job as part of your commitment to ongoing education.

Interview process:

1. HR Interview with the Recruiter;
2. A 2-hour Final interview with the team.

If you find this opportunity right for you, don't hesitate to apply or get in touch with us if you have any questions!

On behalf of our Client from the USA, Mobilunity is looking for a Senior Product Manager.

Our Client specializes in developing innovative digital solutions for businesses, focusing on modular e-commerce, web performance optimization, and AI-driven retail technologies. They create flexible, API-first architectures that enhance scalability and user experience. Their expertise includes AI-powered recommendations, conversational commerce, and tailored digital experiences across various industries. With a customer-centric approach, they integrate artificial intelligence to drive efficiency and growth.

They are seeking a hands-on, remote, Senior Client Product Manager that will be primarily responsible for driving the delivery of web applications and other technology implementations for their clients. You will work with our development team, Customer Success Managers and clients to drive implementations and live site maintenance.

Essential functions:

• You love managing and leading a fast paced agile development process in close collaboration with a diverse engineering and design team
• You enjoy working closely with external partners and clients to lead and deliver projects that modernize and transform their website to achieve business objectives
• You are organized and proficient with managing a large or complex project in a fast moving, dynamic environment including managing project scope, schedules, and budgets
• You work with an Engineering team to decompose product scope, gather estimates, and build delivery plans and proposals
• You are a big picture thinker and also detail oriented to be able to manage both the overall project delivery plans and product requirements 
• You do whatever it takes to make your product and team successful, whether that means writing a QA plan or hunting down the root cause of a client’s frustration or issue
• You are technical enough to challenge engineers to identify solutions to technical problems and facilitate technical discussions
• You have a strong desire to continuously improve the product development process

Required Skills & Experience:
 

• 5+ years of experience in Agile Software development as a Project, Product or Program Manager of large (10+ people) or complex projects
• It would be ideal if you could work from 4:00 PM to 12:00 AM Kyiv time, so that your schedule overlaps with the US time zone(tentative)⏰
• Strong knowledge and experience in software delivery, methodologies, and associated tools: Agile, Scrum, Kanban, Jira
• Experience in all phases of software development including product discovery, software delivery, testing, launch, and post-launch life cycles
• Client-facing digital product delivery experience which includes requirements gathering, creating and managing a backlog of priorities, and user story writing
• Experience gathering business and functional requirements with involved teams (including external partners) then managing prioritization throughout the process in iterative software development environments
• Experience working with technical resources to estimate scope and creating accurate project timelines and resource estimates for project planning
• A passion to deliver on-time and the personality to overcome any obstacle, associated to the ability to work individually or as part of a team
• Strong problem solving skills
• Hands-on experience with Web Analytics Tools (Google Analytics, Adobe Analytics, Tag Managers, etc)
• Ability to coach other product managers on the team
• Experience with AI tools and concepts
• Fluent spoken and written English language skills

Nice to have:

• Experience working with technical teams on modern web technology stacks such as React, Next.JS, JavaScript, and NodeJS
• Experience with E-commerce businesses, platforms, and technology
• Fundamentals in computer science, computer networking, network security, and software development
• Certifications in Scrum / Agile / Product / Project management

In return we offer:

• The friendliest community of like-minded IT people
• Open knowledge-sharing environment – exclusive access to a rich pool of colleagues willing to share their endless insights into the broadest variety of modern technologies
• Mobilunity Medical Insurance program is designed to meet our team’s needs
• Paid vacations and sick leaves, including 5 paid days per year that don’t require a sick note
• Perfect office location in the city center (900m from Lukyanivska metro station with a green and spacious neighborhood) or remote mode engagement: you can choose a convenient one for you, with a possibility to fit together both
• No open-spaces setup – separate rooms for every team’s comfort, and multiple lounge and gaming zones
• English classes in 1-to-1 & group modes with elements of gamification
• Neverending fun: sports events, tournaments, music band, multiple affinity groups

Come on board, and let’s grow together!

About Us 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid) to create the next generation of CRM systems. 

We’re building an AI-native CRM platform that completely redefines how sales automation works. 
By structuring data for intelligent automation, we enable agentic AI to design workflows, assist Sales Leaders and Reps in real time, and generate predictable sales funnels – all through a simple, chat-driven interface. 

Our mission: to build a CRM that works for User, not the other way around. 

About the Role 

This role is for engineers who thrive in dynamic environments, where processes are still being shaped and impact is immediate. 

At ChatRevenue, we focus on goals rather than ceremonies – no endless grooming sessions or heavy planning rituals. Decisions are made quickly through open dialogue and collaboration, not through layers of approvals. 

Previous startup experience is not required – what matters is curiosity, independence, and drive. As part of the core team, you’ll have the chance to own technical domains, lead innovation, and grow together with the company. 

What You’ll Do 

• Design, deploy, and maintain GenAI/RAG pipelines for production 
• Integrate LLMs and agentic assistants into business flows 
• Source, ingest, clean, and enrich external data streams 
• Build and manage vector search, embedding stores, and knowledge graphs 
• Explore and implement new ML/GenAI frameworks and multi-agent systems 
• Mentor developers and share knowledge across the team 

What We’re Looking For 

• Strong backend skills: Python, FastAPI, Webhooks, Docker, Kubernetes, Git, CI/CD 
• Hands-on experience with LLMs (OpenAI-family), LangChain/LangGraph/LangSmith, prompt engineering, RAG, vector stores (Azure AI Search, Pinecone, Neo4j, FAISS) 
• SQL, Pandas, Graph DBs (Neo4j), NetworkX, ETL/data cleaning, Kafka/Azure EventHub 
• Proven experience running RAG pipelines in production 
• Familiarity with graph algorithms (community detection, similarity, centrality) 
• Good English for documentation, API design, and teamwork 
• Startup drive, proactivity, independence 
• Willingness to relocate or travel within Europe; full-time availability 

Nice to have 

• Multi-agent LLM frameworks 
• Big Data pipelines in cloud (Azure preferred) 
• Production-grade ML/NLP, Graph ML 

Why Join Us 

• Remote-first culture – work from anywhere 
• Flexible schedule aligned with European time zone 
• Direct impact – your work is visible in the product from day one 
• Professional growth – own technical domains, lead innovation, scale with the company 
• Competitive compensation: $6000-9000 
• Core team – become one of the people who know the product best and shape its future 

If you want to be part of the core team building an AI-native CRM from scratch, we’d love to hear your story. 

For our partner BigD we are looking for Media Buyer Senior (LATAM)  who prioritizes data, hypotheses, and scale over intuition. If you know how to drive traffic in the Spanish-speaking LATAM market and possess a systemic approach to media buying, we want you to share your CV with us immediately.

🌐About Company

 BigD is a leading iGaming operator with a massive presence across Tier 1–3 GEOs and is currently a TOP 10 brand in LATAM. We are much more than just an operator; we run a successful Affiliate Program, offer a proprietary payment solution, and develop an innovative AI-driven user acquisition platform.

🚀 Responsibilities

• Data-Driven Buying: Plan, launch, and optimize paid traffic campaigns with a strict reliance on analytics and testing rather than "gut feeling."
• Multi-Channel Management: Focus primarily on  TikTok, Meta and In-app traffic sources.
• Scaling & Optimization: Monitor key metrics (CPI, CPA, ROI) to maximize profitability. Systematically test hypotheses to scale successful campaigns.
• Technical Setup: actively utilize Keitaro, PWA services, and other tracking tools to ensure precise attribution and flow management.
• Creative Strategy: Work closely with the design team to develop high-performing ad creatives; conduct rigorous A/B testing for creatives, targeting, and landing pages.

• Budget Management: Manage significant advertising budgets with a focus on stable profitability and aggressive scalability.

   

✅ Requirements

• Experience: 2-3+ years of experience in Media Buying.
• Niche Expertise: Experience in iGaming or Betting is a strong plus (but not a strict limitation for the right candidate).
• Market Knowledge: Deep understanding of the Spanish-speaking LATAM market (consumer behavior, trends, and localization).
• Technical Stack: Proficient with tracking and cloaking tools (e.g., Keitaro, Voluum, AppsFlyer) and experienced in working with PWA applications.

• Mindset: You possess systemic thinking. You know how to work with KPIs, formulate hypotheses, and validate them through data.

   

  💼 What We Offer

• Direct Impact: Direct communication with the company’s core team and minimal bureaucracy.
• Time Off: 28 calendar days of paid vacation per year, plus paid sick leave and a Birthday day off.
• Growth & Wellness: Compensation for sports activities and professional training/courses to keep your skills sharp.
• Flexibility: A flexible work schedule that respects your work-life balance.
• Financial Stability: Regular salary reviews, stable payments, and compensation at a favorable rate.
• Culture: A non-toxic work environment with a global team of experts.

We are waiting for your CV and our further communication. 😉

We’re a performance-oriented SEO agency helping partners grow through full-cycle SEO: technical SEO, content strategy & production, and link building. We work across high-risk and mainstream verticals and turn organic search into predictable revenue.

We’re now looking for a Business Development Manager to sell SEO services, expand our client base, and maximize recurring revenue.
 

What You’ll Be Doing:

• Owning the full sales cycle: ICP research → prospecting/outreach → discovery → solution design (audit, roadmap, packages) → proposal/SOW → negotiation → closing → smooth handover to Project Management.
• Packaging and selling service lines: technical SEO, content SEO, link building (outreach/guest posts/crowd), and comprehensive SEO programs.
• Researching target accounts and building qualified pipelines.
• Running demos and value-driven presentations; handling objections and iterating offers.
• Coordinating closely with delivery teams to align scope, timelines, KPIs, and ROI narratives.
• Maintaining clean CRM, accurate forecasting, and weekly funnel reporting.
• Driving cross-sell/upsell and account growth.
• Opening opportunities via email/LinkedIn and at industry conferences (ICE, iGB, SiGMA, SBC, etc.).
  
   

What We Expect:

• 3–5 years in sales with 1–2 years in B2B.
• 1–2 years in high-risk niches (ideally iGaming; fintech/crypto also relevant).
• Based in Europe (must).
• Proven strength in at least 2 of 3: lead generation, closing, account management.
• Working knowledge of iGaming market.
• English: Upper-Intermediate (B2) or higher, spoken and written.
• Confident with CRMs and Google Workspace; strong communication and negotiation skills; persistent, goal-driven, team-oriented.
   

Nice to Have:

• Existing network of decision-makers (CMO/Head of SEO/Founders) in iGaming/marketing.
• Experience selling SEO retainers, link-building packages, and technical audits.
• Outreach stack familiarity (LinkedIn, Reply/Lemlist/Instantly, Snov/Apollo/RocketReach).
• Comfort with performance/SEO tools (GSC/GA4, Ahrefs/Semrush).
   

What We Offer:

• Fully remote within EU time zones; flexible hours.
• Competitive base + commission on new & recurring business. Possible to x2+ your base with the commission
• Fast decision-making, minimal bureaucracy, direct access to delivery leads.
• A seasoned SEO delivery team, sales enablement assets, and quick presale audits.
• Budget for tools, training, and conferences.
   

If you’re hungry to win, know how to sell SEO solutions, and want real upside — we’d love to meet you.

We’re a performance-oriented SEO agency helping iGaming partners scale through high-converting organic traffic. We own and operate a portfolio of review-focused content websites and work directly with affiliate teams and acquisition managers to deliver high-quality leads.

We’re now looking for a Business Development Manager / Affiliate Manager to grow our network of partners and maximize the revenue potential of our SEO traffic.

What You’ll Be Doing:

• Managing relationships with existing affiliates and acquiring new ones
• Monitoring offer performance, analyzing conversion data, and suggesting improvements
• Coordinating with partners to test new offers, GEOs, and landing pages
• Handling daily communication with affiliate managers and partner teams
• Keeping stats and performance data organized (primarily in Keitaro & PipeDrive)
• Negotiating deal terms (FF, CPA, RevShare) and ensuring profitability
• Acting as the main point of contact between GRIT Leaders and partner brands
   

What We Expect:

• At least 1 year of experience in a similar role (affiliate management, business development, or traffic monetization)
• Understanding of iGaming vertical and affiliate business models
• Hands-on experience working with SEO traffic (or a strong willingness to dive into it)
• Solid communication and negotiation skills
• English — upper-intermediate or higher
• Experience with tracking tools (Keitaro, Statsdrone, etc.) and CRMs is a must
   

Nice to Have:

• Previous experience working with SEO-driven sites or affiliate SEO traffic
• Existing network of affiliate contacts in iGaming 
• Analytical mindset and confidence working with performance metrics
   

What We Offer:

• Fully remote position with flexible hours
• Competitive base salary + performance-based bonuses
• Fast decision-making and minimal bureaucracy
• A chance to work with a team that knows SEO inside out
   

If you know how to monetize traffic and build win-win affiliate partnerships — we’d love to meet you.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client:
The company is a trailblazer in the world of data-driven advertising, known for its innovative approach to optimizing ad placements and campaign effectiveness through advanced analytics and machine learning techniques. Our mission is to revolutionize the advertising sector by enabling brands to reach their audiences more effectively.

About the role:
We are seeking an experienced and motivated Senior Data Scientist to join our dynamic team. The ideal candidate will have deep expertise in supervised learning, reinforcement learning, and optimization techniques. You will play a pivotal role in developing and implementing advanced machine learning models, driving actionable insights, and optimizing our advertising solutions.
This position is based in Ukraine. The team primarily works remotely, with occasional in-person meetings in the Kyiv or Lviv office.

Responsibilities:
- Develop and implement advanced supervised and reinforcement learning models to improve ad targeting and campaign performance.
- Collaborate with cross-functional teams to identify opportunities for leveraging machine learning and optimization techniques to solve business problems.
- Conduct extensive data analysis and feature engineering to prepare datasets for machine learning tasks.
- Apply optimization algorithms to enhance the effectiveness and efficiency of advertising campaigns.
- Evaluate and refine existing models to enhance their accuracy, efficiency, and scalability.
- Utilize statistical techniques and machine learning algorithms to analyze large and complex datasets.
- Communicate findings and recommendations effectively to both technical and non-technical stakeholders.
- Stay updated with the latest advancements in machine learning, reinforcement learning, and optimization techniques.
- Work with engineering teams to integrate models into production systems.
- Monitor, troubleshoot, and improve the performance of deployed models.
- Mentor junior data scientists and contribute to the continuous improvement of the data science practice within the company.

Requirements:
- 5+ years of experience in data science or machine learning roles, with a strong focus on supervised learning, reinforcement learning, and optimization techniques.
- Technical Skills:
- Proficiency in Python.
- Strong understanding of working with relational databases and SQL.
- Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar.
- Deep understanding of statistical modeling and supervised learning algorithms (e.g., linear regression, logistic regression, decision trees, random forests, SVMs, gradient boosting, neural networks).
- Hands-on experience with reinforcement learning algorithms and frameworks like OpenAI Gym.
- Practical experience with optimization algorithms (linear, non-linear, combinatorial, etc.).
- Hands-on experience with data manipulation tools and libraries (e.g., pandas, NumPy).
- Familiarity with cloud services, specifically AWS, is a plus.
- Practical experience building and managing cloud-based ML pipelines using AWS services (e.g. SageMaker, Bedrock) is a plus.
- Education:
- Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, Engineering, or a related field. A PhD is a plus.

Other Skills:
- Strong analytical and problem-solving skills.
- Excellent communication skills, with the ability to clearly articulate complex concepts to diverse audiences.
- Ability to work in a fast-paced environment and manage multiple priorities.
- Strong organizational skills and attention to detail.
- Ability to mentor and guide junior data scientists.
- Must be able to communicate with U.S.-based teams

The company offers:
- An opportunity to be at the forefront of advertising technology, impacting major marketing decisions.
- A collaborative, innovative environment where your contributions make a difference.
- The chance to work with a passionate team of data scientists, engineers, product managers, and designers.
- A culture that values learning, growth, and the pursuit of excellence.

N-iX is looking for a Lead Data Scientist. As a Lead Engineer, you’ll be responsible for designing, developing, and optimizing data and AI pipelines (including Spark-based and RAG-style workflows), ensuring performance, scalability, and reliability. You’ll also be working on technical discovery and solution assessment: helping the client understand existing AI tooling (currently a RAG-based solution used for document analysis), evaluating scalability, quality, cost, and risks, and advising on future architecture options.

Responsibilities:

• Design and implement data pipelines to support AI and ML use cases, including data preparation, feature engineering, and real-time model serving.
• Support and enable RAG-based and NLP use cases, including document ingestion, data preparation, feature extraction, and structured data generation.
• Collaborate with AI engineers to productionize AI/ML solutions and integrate them into reliable data workflows.
• Participate in and lead discovery phases to analyze existing AI solutions, clarify how they work, and identify architectural gaps, risks, and improvement opportunities.
• Assess scalability and multilingual support of AI/data solutions (including feasibility, configuration needs, cost, and expected quality).
• Contribute to evaluations of vendor lock-in, platform alternatives, and potential migration paths (e.g., toward Palantir Foundry or other modern data/AI platforms).
• Ensure high standards of data quality, security, governance, and compliance.
• Drive continuous improvement in development processes, tooling, and engineering practices.
• Foster collaboration across engineering, data science, and product/business stakeholders.

Requirements:

• 6+ years of experience in data
• Proficiency in Python and distributed computing concepts.
• Experience designing and optimizing scalable data pipelines for high-volume data.
• Experience supporting AI/ML projects (e.g., enabling model training pipelines, feature engineering, real-time inference, or MLOps workflows).
• Ability to perform technical discovery and solution assessment, including explaining complex systems to non-technical stakeholders.
• Strong leadership, communication, and stakeholder management skills.
• Experience with Palantir Foundry is a plus, but not required.
• Experience with PySpark and large-scale data processing.

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