ChatRevenue.ai

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev, founder of Veeam, and Vlad Voskresensky, founder of Revenue Grid. 

We are building agentic sales automation for the post-CRM era. Our AI-native product combines structured and unstructured data, LLM-powered workflows, and agentic automation to help sales teams prioritize effectively, work more efficiently, and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core product team and looking for people who want to shape a new product category and have a direct impact on the user experience, product logic, and speed of delivery. 

About the role 

We are looking for a UX Product Owner with strong experience designing complex B2B SaaS products and end-to-end workflows. 

This is a hands-on product design role focused on: 

• AI-native user experiences 
• Complex B2B workflows 
• Information architecture and interaction design 
• Rapid prototyping and product validation 

You will work closely with founders, product managers, AI specialists, and engineers to turn complex sales processes and AI capabilities into intuitive, practical, and user-friendly experiences. 

We are looking for someone who can take an ambiguous product problem, understand the underlying user and business needs, propose a clear solution, and move it from an early concept to production. 

What you will do 

• Design end-to-end user journeys and workflows for an AI-native B2B SaaS product 
• Translate complex business processes, data, and AI behavior into clear and intuitive product experiences 
• Create user flows, wireframes, interactive prototypes, and production-ready designs in Figma 
• Design conversational, agentic, and AI-assisted interactions that help users understand, control, and trust AI-generated outcomes 
• Work closely with product managers and engineers from problem definition through implementation 
• Conduct user interviews, usability testing, and product discovery with early customers 
• Validate design hypotheses and iterate based on user feedback, product data, and business priorities 
• Contribute to the product’s information architecture, interaction patterns, and design system 
• Drive user experience excellence across all products 

• What we are looking for 
• 5+ years of experience in UX, product, or interaction design 
• Strong experience designing complex B2B SaaS or enterprise products 
• A portfolio demonstrating end-to-end ownership of complex product workflows 
• Strong skills in information architecture, interaction design, prototyping, and usability testing 
• Advanced proficiency in Figma, including components, libraries, and design systems 
• Ability to simplify complex systems, data, and business processes without losing important context 
• Experience working closely with product managers and engineers in cross-functional teams 
• Ability to explain design decisions clearly and support them with user needs, product logic, and evidence 
• English: B2 or higher 
• High ownership, independence, pragmatism, and product mindset 

Nice to have 

• Experience designing AI-native, GenAI, Copilot, or conversational products 
• Understanding of LLM behavior, agentic workflows, and human–AI interaction patterns 
• Experience with CRM, sales automation, revenue intelligence, or other data-heavy products 
• Experience designing analytics, dashboards, workflow builders, or complex configuration interfaces 
• Experience working in an early-stage startup or building a product from an early stage 
• Knowledge of accessibility standards and responsive design 
• Experience using product analytics and behavioral data to improve UX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• Unlimited paid vacation 
• Company-paid subscriptions to the professional tools and software you need for your work 
• A core product role in an AI-native company 
• Direct collaboration with founders, product leaders, and engineers 
• Direct influence on the product vision, UX principles, and design system 
• Real ownership and visible impact on how customers experience the product 
• An opportunity to help define a new generation of sales software 

If you enjoy turning complex workflows and emerging AI capabilities into simple, useful, and trustworthy product experiences, we’d love to talk. 

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 outcomes rather than ceremonies – no endless grooming sessions or heavy planning rituals. 

Our engineering processes are evolving, and you’ll have a direct influence on how they are structured. There are no excessive management layers or long approval chains – decisions are made quickly through open discussion and direct collaboration. 

Previous startup experience is not required. What matters is your ability to operate without rigid rules, take initiative, and make independent technical decisions. 

What You’ll Do 

• Architect and maintain backend services using Python / FastAPI 
• Build seamless integrations with between our code product and external ecosystems (CRM, communication platforms) 
• Design and optimize scalable ETL/ELT pipelines 
• Develop and deploy production-ready Generative AI features to enhance product capabilities 
• Lead features from initial technical design to production release and ongoing support 
• Deliver high-quality code in short, impactful cycles 
• Maintain DevOps best practices (testing, CI/CD, security, containerization) 

What We’re Looking For 

• Strong Python skills (FastAPI, async, Pydantic) 
• Experience with SQL (PostgreSQL), Pandas, and data pipelines 
• Solid understanding of HTML/CSS/JavaScript
• Hands-on experience with Docker, Kubernetes, Azure, Kafka 
• Experience with CI/CD and Git-based workflows 
• Curiosity about product-building and openness to evolving environments 
• Strong teamwork skills – constructive code reviews, active participation in technical discussions, and ownership mindset 

Nice to have 

• Experience with OpenSearch 
• DevSecOps exposure 
• Advanced debugging skills 
• Azure API Management 
• Experience developing Generative AI features 
• Integrations with Salesforce, Google Meet, or similar platforms 

Why Join Us 

• Remote-first culture – work from anywhere 
• Flexible schedule aligned with European time zone 
• No bureaucracy or micromanagement – transparent and fast decision-making 
• Direct product impact – your work ships quickly and is visible in production 
• Real ownership – influence architecture and technical direction 
• Unlimited paid vacation and paid sick leave 
• Company-provided equipment 
• Premium AI tools subscription (ChatGPT, Copilot, Claude) 
• Professional growth – opportunity to own a technical domain or lead a module as the company scales 
• Competitive compensation starting from $6,000

If you want to build an AI-native CRM from the ground up and be part of the core team shaping the product, we’d love to hear your story. 

Apply or reach out directly – let’s build something truly transformative together. 

About ChatRevenue.ai 

ChatRevenue.ai was founded by Ratmir Timashev (founder of Veeam) and Vlad Voskresensky (founder of Revenue Grid). 

We are building an agentic sales automation for post-CRM era. The AI-native product combines structured and unstructured data, LLM workflows, and agentic automation to help sales people to focus properly, work more efficiently and automate repetitive sales processes. 

The product is already being tested by early customers. We are growing the core engineering team and looking for people who want to work on real product systems with direct impact on architecture, quality, and speed of delivery. 

About the role 

We are looking for a Senior Generative AI Engineer with 5+ years of commercial Python experience and hands-on experience building production GenAI / RAG systems. 

This is a hands-on engineering role focused on: 

• Python backend  
• LLMs and RAG  
• AI Copilot / assistant workflows  

We are looking for someone who can take a problem, propose a practical solution, and move it to production. 

What you will do 

• Design, build, deploy, and maintain production GenAI / RAG pipelines  
• Integrate LLMs and agentic assistants into product workflows  
• Improve latency, reliability, scalability, and cost-efficiency of AI systems  
• Evaluate and implement new GenAI, multi-agent, and orchestration frameworks  
• Contribute to architecture and technical decisions across the platform  

What we are looking for 

• 5+ years of commercial Python experience 
• Strong backend experience with FastAPI, APIs, webhooks, Docker, Kubernetes, Git, and CI/CD 
• Commercial experience with LLMs in production 
• Strong hands-on experience with RAG, retrieval workflows, embeddings, and vector search 
• Experience with LangChain, LangGraph, LangSmith, or similar frameworks 
• Good knowledge of SQL, Pandas, ETL, data cleaning, and ingestion pipelines 
• English: B2 or higher 
• High ownership, independence, and product mindset 

Nice to have 

• Multi-agent LLM systems 
• Knowledge graphs, graph databases, or graph-based retrieval 
• Kafka, Azure Event Hub, or other event-driven systems 
• Azure cloud infrastructure 
• Production ML / NLP systems 
• Evaluation, tracing, observability, and optimization of AI pipelines 
• Graph algorithms or tools like NetworkX 

What we offer 

• Remote-first setup 
• Flexible schedule aligned with European time zones 
• A core engineering role in an AI-native product 
• Direct influence on technical decisions and architecture 
• Real ownership and visible product impact 

If you have strong Python backend fundamentals and real production GenAI / RAG experience, we’d love to talk.