Jobs Data & Analytics

We’re looking for an experienced GoHighLevel specialist to help us build and optimize CRM automations for a fast-growing U.S. real estate lead generation company.

You must have real hands-on experience with GoHighLevel.

Responsibilities:

• Setup and optimization of AI voice agents
• Live transfer setup and routing
• CRM automations and workflows
• API integrations
• Lead routing and pipeline setup
• SMS / email automation setup
• Troubleshooting and optimization

Requirements:

• Strong experience with GoHighLevel
• Experience with automations and workflows
• Experience with API/webhook integrations
• Understanding of lead generation funnels
• English communication skills
• Ability to work independently and move FAST

Nice to have:

• Experience in real estate or lead generation
• Experience with Twilio, Zapier, Make, OpenAI, VAPI, Retell, etc.
• Experience with call tracking and inbound lead systems

To apply, please send:

• Your CV and GoHighLevel experience
• Relevant case studies or Loom video

We are looking for a Business Analyst to bridge the gap between business stakeholders and the development team by transforming business needs into clear, structured, and actionable requirements.

Responsibilities

• Gather, clarify, and formalize business requirements.
• Prepare user stories, acceptance criteria, business requirements, and functional specifications.
• Communicate requirements to developers, QA engineers, designers, and stakeholders.
• Participate in sprint planning, backlog refinement, and task prioritization.
• Support the team during development by clarifying requirements and business logic.
• Document requirements, processes, and decisions in Confluence.
• Create diagrams, flows, wireframes, and other analytical artifacts.
• Monitor tasks in Jira and support QA during requirement validation.

Requirements

• Experience as a Junior or Junior Strong Business Analyst.
• Ability to translate business needs into clear development tasks.
• Experience with requirements gathering and documentation.
• Understanding of SDLC, REST APIs, client-server communication, and integrations.
• Ability to read API documentation and validate API functionality.
• Basic understanding of software architecture and microservices.
• Experience creating documentation, diagrams, wireframes, or prototypes.
• Strong communication skills and attention to detail.
• Ability to work on multiple tasks simultaneously.

Nice to Have

• Experience in fintech, banking, or mobile applications.
• Familiarity with Postman, Swagger/OpenAPI, Jira, and Confluence.
• Experience with Figma, Miro, Draw.io, or similar tools.
• Basic understanding of Agile/Scrum processes.

What We Offer

• Competitive compensation and benefits package
• Opportunity to work on a growing fintech product
• Collaborative and professional team environment
• Career growth and development opportunities

We are looking for a proactive and detail-oriented Business Analyst to join our team and help bridge the gap between business stakeholders and the technical team. In this role, you will participate in gathering, analyzing, and formalizing business requirements, transforming them into clear and structured tasks for the development team.

Responsibilities

• Gather, clarify, and formalize business requirements.
• Prepare user stories, acceptance criteria, business requirements, and functional specifications.
• Communicate requirements to developers, QA engineers, designers, and stakeholders.
• Participate in sprint planning, backlog refinement, and task prioritization.
• Support the team during development by clarifying requirements and business logic.
• Document requirements, processes, and decisions in Confluence.
• Create diagrams, flows, wireframes, and other analytical artifacts.
• Monitor tasks in Jira and support QA during requirement validation.

Requirements

• Experience as a Business Analyst at Junior or Junior Strong level.
• Ability to understand business needs and transform them into clear development tasks.
• Experience in collecting, analyzing, and elaborating requirements.
• Experience creating business requirements, specifications, use cases, user stories, and acceptance criteria.
• Basic understanding of software development processes and SDLC.
• Understanding of REST APIs, client-server communication, and integration principles.
• Ability to read API documentation and validate API behavior against requirements.
• Basic understanding of software architecture, integrations, and microservices.
• Experience creating documentation, diagrams, wireframes, or prototypes.
• Attention to detail and ability to work on multiple tasks simultaneously.

Nice to Have

• Experience in fintech, banking, or mobile applications.
• Familiarity with Postman, Swagger/OpenAPI, Jira, and Confluence.
• Experience with Figma, Miro, Draw.io, or similar tools.
• Basic understanding of Agile/Scrum processes.

What We Offer

• Competitive compensation and benefits package
• Opportunity to work on a growing fintech product
• Collaborative and professional team environment
• Career growth and development opportunities

Mirko Solutions is an international IT company specializing in web and mobile development for clients across the US, Canada, EU, and Australia. We are growing rapidly and are looking for a Middle\Senior AI Engineer to join our team and drive complex, high-impact projects.

Job Requirements:

• 3+ years of experience deploying machine learning models (classical ML and/or LLMs) in cloud environments (AWS/GCP/Azure) using containers and Kubernetes
• Hands-on experience with MLOps tools such as MLflow, Kubeflow, SageMaker, Vertex AI, Feast, or equivalent
• Proven experience building robust data/feature pipelines and implementing monitoring for model drift and performance
• Strong Software Engineering fundamentals: version control, automated testing, CI/CD, security, and cost-aware development
• Excellent collaboration and communication skills in  English 
• Ownership mindset, curiosity, and a bias for action in a fast-paced environment

Responsibilities:

• Design, implement, and maintain end-to-end ML pipelines for both classical ML and LLM-based solutions
• Deploy and manage models in cloud environments (AWS / GCP / Azure) using containers and Kubernetes
• Apply MLOps best practices for reproducibility, automation, and monitoring
• Build reliable data/feature pipelines and implement real-time monitoring for model drift, latency, and performance tracking
• Actively contribute to engineering excellence through CI/CD, testing, security, and cost optimization

Nice to have:

• Experience with deep learning frameworks such as PyTorch or TensorFlow
• Understanding of distributed systems (Spark, Ray)
• Experience working with feature stores and data governance

We provide the following for our employees:

• Competitive salary according to qualification
• Comfortable working environment
• Experienced colleagues
• Opportunity to work with interesting projects,
• Regular performance reviews
• Friendly atmosphere, care for the comfort of professionals

We are looking for an AI/ML Engineer to build and scale AI-powered solutions for real-world use cases. This is a hands-on role focused on developing agentic systems, RAG pipelines and production-grade LLM integrations.

Requirements

• 4+ years of commercial development experience 
• Strong experience with LLM-based systems (RAG, agents, tools)
• Ability to design end-to-end AI architecture (data → retrieval → response)
• Experience with evaluation pipelines (golden datasets, metrics, LLM-as-judge)
• Solid understanding of prompt engineering and iteration
• Experience working with databases (Postgres) + vector search
• Understanding of data processing, PII detection, and safe data handling
• Familiarity with fine-tuning approaches (LoRA/QLoRA) and when to use them
• Ability to review and validate AI-generated code
• Strong engineering mindset (scalability, reliability, structured thinking)

Responsibilities

• Build AI-powered features using LLMs (Claude, OpenAI, etc.)
• Develop and optimize RAG pipelines
• Create AI agents and autonomous workflows
• Fine-tune and adapt ML/LLM models for specific use cases
• Integrate AI solutions into products via APIs
• Collaborate with the team and clients to deliver production-ready solutions

THE ROLE

You will be the analytical owner of your product domain- turning data into decisions for Product, R&D, Operations, and Business teams. Day to day, you will work hands-on in SQL and BI tools, partner closely with PMs and engineers, and help shape the strategic direction of the product through evidence.

WHAT YOU'LL DO

• Own all analytical aspects of your assigned product domains.
• Build and maintain reports, dashboards, and metrics, and monitor the integrity and validity of the data behind them
• Use analytical tools, data mining, and business logic to consult the Product team on day-to-day questions and decisions 
• Analyze and optimize products and activities- take part in design and implementation as a key voice in strategic product decisions
• Own and manage multiple data initiatives and projects, both ongoing and ad-hoc
• Define alerts and monitor performance to improve process efficiency
• Provide supporting data to help prioritize new features and initiatives 

• Work closely with Product, R&D, Operations, and Business teams

   

WHAT YOU'LL NEED (must-have)

• 4+ years in a Product / Data / Business / Operations Analyst role in a data-rich environment 
• Current position MUST be an analyst role at a tech company (no finance, banking, or insurance backgrounds) 
• Excellent SQL - daily, hands-on query writing. This is not a role where SQL is occasional; expect to live in it.
• Strong verbal English (B2+ or higher). You will present findings to PMs, engineers, and business stakeholders directly in English every week - fluency matters.
• Excellent communication skills - the ability to deliver the results of an analysis clearly, concisely, and confidently 

• Proven experience using AI tools in your analytics workflow (e.g. ChatGPT, Claude, Gemini, or similar for query generation, data exploration, or summarization)

   

NICE TO HAVE (advantage, not required)

• Hands-on experience with Tableau, Power BI, or Looker
• Experience analyzing datasets via an LLM tool

• Passion for sports

   

WHO THIS IS NOT FOR

• Analysts coming from finance, banking, or insurance -we are looking specifically for tech / SaaS / product backgrounds
• Anyone whose English is below confident B2; this role is stakeholder-facing in English daily
• SQL-light profiles- if you write a few queries a week rather than every day, this role will not fit

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Senior AI/LLM Data Engineer (Technical Consultant) to join our team and help design, build, and scale modern data pipelines and retrieval systems for AI-driven products in fintech, healthcare, telecommunications, automation, and other data-intensive domains.

This role is ideal for an engineer who combines strong data engineering fundamentals with hands-on experience in LLM and RAG systems and can contribute not only through implementation, but also through architecture design, technical planning, and consulting-driven engineering decisions.

Responsibilities

• Design and develop scalable data pipelines for AI/LLM products and internal data platforms 
• Build and maintain ingestion, transformation, chunking, enrichment, indexing, and retrieval workflows 
• Prepare and structure data for RAG systems, semantic search, embeddings, and LLM evaluation workflows 
• Support fine-tuning and data preparation workflows for LLM use cases 
• Work with structured, semi-structured, and unstructured data from documents, APIs, databases, and external systems 
• Design and optimize retrieval pipelines, including metadata strategies, filtering, ranking, and relevance improvements 
• Integrate LLM-based solutions with data platforms, vector storage systems, search platforms, and backend services 
• Participate in architecture design, technical planning, and engineering decision-making for AI/LLM initiatives 
• Improve system quality, scalability, reliability, observability, and cost efficiency 
• Diagnose and resolve complex issues in production AI/data environments 
• Collaborate closely with engineers, product teams, analytics, and AI teams 
• Transform business requirements into practical AI/data engineering solutions 

Requirements

• Strong commercial experience in data engineering with hands-on work building data pipelines, ETL/ELT workflows, and distributed data processing systems 
• Hands-on experience with AI/LLM systems, RAG pipelines, embeddings, semantic search, or vector search/retrieval systems 
• Strong Python and SQL skills 
• Experience working with structured, semi-structured, and unstructured data in production environments 
• Strong understanding of data modeling, data transformation, validation, and data quality practices 
• Experience designing scalable and maintainable data workflows 
• Experience with modern data platforms and tools such as Airflow, dbt, Spark, Kafka, or similar technologies 
• Experience with vector databases or search platforms such as Pinecone, Weaviate, Milvus, Elasticsearch, or OpenSearch 
• Understanding of data preparation and optimization techniques for LLM use cases, including chunking, metadata strategies, and retrieval quality improvements 
• Experience with cloud platforms such as AWS, GCP, or Azure 
• Experience with Docker, CI/CD pipelines, and production deployment practices 
• Ability to work independently, make technical decisions, and clearly communicate trade-offs and architectural choices 
• Experience participating in technical consulting, solution design, or client-facing technical discussions 
• English level: B2 or higher 

Nice to Have

• Experience with LLM evaluation frameworks, prompt pipelines, or fine-tuning workflows 
• Familiarity with LangChain, LlamaIndex, or similar orchestration frameworks 
• Experience with reranking, hybrid search, recommendation systems, or knowledge graphs 
• Understanding of MLOps, LLMOps, observability, and experimentation workflows 
• Experience with modern data warehouse or lakehouse platforms such as BigQuery, Snowflake, Redshift, or Databricks 
• Understanding of security, governance, and privacy practices in AI/data systems 

What We Offer

• Work on real-world AI/LLM and data-intensive products 
• Opportunity to participate in architecture, technical discovery, and solution design — not only implementation 
• Collaboration with strong engineers, architects, and product teams 
• Clear growth path toward AI Architect, Data Platform Architect, or Technical Lead roles 
• Open engineering culture focused on ownership, transparency, and continuous improvement 
• Long-term projects, flexible schedule, and fully remote work opportunities

TJHelpers is committed to developing strong engineering teams through mentorship, real project experience, and our “Helpers as a Service” model. We provide structured growth, hands-on practice, and a supportive environment where engineers can evolve quickly and meaningfully.

We are looking for a Junior Data Engineer to join our team and help build and maintain reliable data pipelines, transformations, and datasets for modern products in fintech, AI, telecommunications, healthcare, and other data-driven domains.

This is a great opportunity to work with real-world data, grow in data engineering, and gain hands-on experience with SQL, Python, ETL/ELT processes, and modern data platforms.

Responsibilities

• Support the development and maintenance of data pipelines and ETL/ELT processes 
• Collect, clean, transform, and load data from databases, APIs, files, and external systems 
• Write and optimize SQL queries for data preparation and transformation 
• Assist in building datasets for analytics, reporting, and internal products 
• Support data quality, consistency, and reliability across pipelines and datasets 
• Work with structured and semi-structured data 
• Participate in troubleshooting and improving data processes 
• Assist in monitoring and improving data pipeline reliability and performance 
• Collaborate with engineers, analysts, and product teams 

Requirements

• Basic understanding of data engineering concepts and data pipeline architecture 
• Hands-on experience writing SQL queries and working with Python 
• Understanding of relational databases such as PostgreSQL or MySQL 
• Ability to write SQL queries using joins, filtering, aggregations, and transformations 
• Basic understanding of ETL/ELT processes 
• Understanding of data modeling and data transformation principles 
• Familiarity with data formats such as CSV and JSON and working with APIs 
• Basic understanding of structured and semi-structured data 
• Analytical thinking and attention to detail 

• Motivation to learn and grow in a technical environment 

   

Nice to Have

• Basic experience with Pandas 
• Basic familiarity with Spark or PySpark 
• Familiarity with Airflow, dbt, or similar tools 
• Understanding of data warehouses such as BigQuery, Snowflake, or Redshift 
• Familiarity with cloud platforms such as AWS, GCP, or Azure 
• Familiarity with Git 
• Experience with BI or analytics tools 

• Interest in data platforms, analytics engineering, or ML/AI workflows 

   

What We Offer

• Work with real production data systems and modern technologies 
• Mentorship from experienced engineers and tech leads 
• Clear growth path to Middle Data Engineer level 
• Supportive engineering culture focused on learning and practical development 
• Flexible schedule and fully remote work opportunities

We are building one of the most powerful live-streaming platforms, already connecting 400K+ monthly active users through live events, interactive video chats, and real-time community experiences. Our mission is bold: bring joy, fight loneliness, and deliver safe, ad-free entertainment that keeps people coming back.
This is a complex, fast-moving space, and we love it that way! So, you will join a passionate, expert team tackling everything from scaling AI-powered recommendations to launching high-impact, data-driven features that boost monetization and engagement. Every idea counts here, and every release reaches a massive global audience.
We are now expanding into Arab countries and Europe, enhancing content quality, and rolling out new features to keep users hooked. We are among the Top 5 streaming products in the US and rank in the Top 10 worldwide. Our next milestone: break into the global Top 5, and we are moving fast to make it happen

About the role: In this role, you will turn numbers into insights, ensuring our marketing stays sharp and effective. From analysing campaign efficiency to connecting marketing and product analytics, you’ll spot growth opportunities and track performance with precision. Your work will directly influence data-driven decisions, keeping our marketing activities stable, scalable, and impactful. With strong results, you’ll also have the opportunity to grow in seniority and potentially lead the department in the future.

In this role, you will

• Analyze paid marketing campaigns across multiple channels, regions, creatives
• Build regular reports and provide ad-hoc analytics on marketing effectiveness (CAC, ROI, LTV, attribution).
• Connect marketing data with product metrics to measure the true business impact of campaigns.
• Monitor marketing funnel health and detect anomalies or drops in performance.
• Collaborate with product analysts, marketers, and data engineers to improve data pipelines and tracking.
• Provide actionable insights and recommendations to optimize campaigns and budget allocation.

It’s all about you

• Experience collaborating with marketing and product teams to monitor key performance metrics, identify anomalies or performance issues, and communicate actionable insights to managers for decision-making.
• Strong SQL
• Strong problem identification skills with critical thinking and a clear understanding of cause-and-effect relationships.
• Proficiency in BI tools (Tableau, Looker, or similar).
• Solid understanding of marketing metrics (CAC, ROI, LTV, ARPU, retention) and attribution models (last-click, multi-touch)
• Good communication skills to translate complex findings into business recommendations

Would be a plus

• Familiarity with Python and basic understanding of ML
• Usage of AI tools (ChatGPT, Claude AI, Gemini, etc) on a daily basis

What we offer

Care and support:

• 20 paid vacation days, 15 sick days, and 6 additional days off for family events
• Up to 10 additional days off for public holidays
• 100% medical insurance coverage
• Sports and equipment reimbursement
• Team building events, corporate gifts, and stylish merch
• Financial and legal support
• Position retention and support for those who join the Armed Forces of Ukraine
• Participation in social initiatives supporting Ukraine

Comfortable working environment:

• Work from our Kyiv hub or remotely with a flexible schedule
• Workspace rental reimbursement in other cities and abroad
• Modern equipment or depreciation of your own tools

Investment in your future:

• Collaborate with a highly-skilled team of Middle & Senior professionals, sharing practical cases and expertise in the social networking niche
• 70% of our heads and leads have grown into their roles here — so can you!
• Performance-oriented reviews and Individual Development Plans (IDPs)
• Reimbursement for professional courses and English classes
• Corporate library, book club, and knowledge-sharing events

Hiring process

• Intro call
• Technical interview
• Reference check
• Offer

Our client is a fast-growing, innovation-driven company working at the forefront of robotics and AI. Their mission is to build advanced autonomous robotic systems capable of operating in real-world environments. They combine expertise in machine learning, computer vision, and robotics to solve complex problems in perception, manipulation, and task planning.

Their teams are composed of highly skilled engineers and researchers who thrive on tackling cutting-edge challenges, engaging in deep technical discussions, and building systems that move from research to real-world production. They value independence, technical excellence, and the ability to deliver in fast-paced, experimental environments.

About the Role:

We are seeking a Principal Robotics AI Engineer for our client. In this role, you will lead the technical development of AI-based robotic systems with a strong focus on dexterous manipulation, perception, and task planning.

You will play a key role in designing and improving data pipelines, working with egocentric datasets, and applying modern AI approaches such as VLA, RL, and VLMs to real-world robotics problems. This is a highly impactful role where you will help shape both the AI systems and the underlying data infrastructure that powers them.

Responsibilities:

• Lead the development of AI-driven autonomous robotic systems with a focus on dexterous manipulation and task planning;
• Build and maintain egocentric data pipelines, including data collection, annotation, and quality assurance at scale;
• Apply VLA, reinforcement learning, and VLM-based approaches to manipulation tasks in industrial, retail, and household environments;
• Collaborate with robotics labs to understand data and pipeline requirements and deliver high-quality training datasets;
• Contribute to perception and machine learning systems deployed on physical robots operating in complex real-world environments;
• Help define and guide the technical direction of AI tooling and data infrastructure;
• Drive technical decisions and work independently to deliver production-ready solutions.

Requirements:

• 5+ years of hands-on experience in robotics AI, ideally at companies or labs such as Boston Dynamics, Figure, Tesla Optimus, Apptronik, or similar;
• Strong expertise in perception and ML systems for autonomous robots, including computer vision, 2D/3D scene understanding, object detection, and manipulation;
• Experience with VLA models, reinforcement learning, and VLM-based task planning in real-world deployments;
• Deep understanding of egocentric video data and how manipulation datasets are structured for robot learning;
• Proven ability to lead technical work independently and deliver in production environments;
• Strong problem-solving skills and ability to work in fast-paced, cutting-edge environments;
• PhD or equivalent industry experience in ML, robotics, computer vision, or a related field.

Nice to Have:

• Experience with ROS or similar robotics middleware;
• Background in remote sensing, GIS, or multi-modal data systems;
• Familiarity with synthetic data generation or sim-to-real transfer;
• Experience with DARPA, government research programs, or applied AI research labs.

We Offer:

• Competitive market salary
• Fully remote work
• Convenient and somewhat flexible working hours
• 28 days of paid time off per calendar year
• The chance to work on meaningful, socially valuable products alongside a highly professional, international team
• Interesting technical challenges with opportunities to grow and learn

Project: The client is developing an AI-powered investment intelligence platform to help venture capital firms and angel investors streamline startup discovery and deal-flow sourcing. The product aggregates and structures data from multiple sources, including accelerator programs, SEC Form D filings, and company profiles, allowing users to identify relevant investment opportunities more efficiently.

The platform includes features such as natural language alerts, automated sourcing workflows, and AI-driven insights. The solution is built with Next.js, Vercel, Clerk, and Stripe and is already live with paying customers while continuously expanding its automation and agentic UI capabilities.

Cooperation: Long-term.
Stage: Existing product, early-stage / actively growing.
Position: New role.
Tech Stack: Python, Supabase, GCP Cloud Run, OpenAI API, LLM Pipelines, Web Scraping, ETL.
Timezone Requirements: Possible 50/50 overlap Kyiv/New York (EST).
Location Requirements: Remote.
English: Advanced — strong spoken English required.

Requirements:

• 4+ years of experience in data engineering
• Strong Python skills
• Experience with web scraping at scale (Playwright, Scrapy or similar)
• Hands-on experience with LLM API integration (OpenAI, Anthropic or similar)
• Experience building ETL / data pipelines
• GCP experience (Cloud Run or managed services)
• Supabase or PostgreSQL — data storage and schema design
• Ability to work independently and own projects end-to-end
• Advanced spoken English

Responsibilities:

• Build new datasets — structured scraping of accelerators, Form D filings, company profiles
• Parse and extract content using LLMs, define schemas in Supabase
• Create eval frameworks to benchmark LLM model performance across pipeline calls
• Design and improve scalable pipeline architecture on GCP
• Work independently within 2-week sprints with daily check-ins

Benefits from 8allocate:

• Team & Culture: Team events, offsites, and a culture that keeps people connected.
• Learning & Development: Budget for courses, certifications, and conferences.
• Wellbeing: Flexible support in line with company policy, with options to support your physical and mental wellbeing (sport, mental health, or medical insurance).
• Rest & Recovery: Paid vacation and sick leave.

Description

We are building an AI-driven SDLC automation platform leveraging AWS Bedrock, knowledge bases, domain agents, and tool-based orchestration.
We are looking for a Lead AI Engineer to design and implement the AI architecture, including RAG pipelines, agent systems, tool-calling mechanisms (MCP-style architectures), model evaluation, and guardrails.
This role requires real production GenAI experience, not experimentation.

Requirements

• 6+ years software engineering experience
• 3+ years hands-on ML / AI engineering experience
• Strong Python (mandatory)
• Proven production experience with LLM systems
• Deep understanding of: RAG architecture, Embeddings, Chunking strategies, Retrieval optimization
• Experience with AWS Bedrock
• Experience designing tool-calling LLM systems (MCP or equivalent architecture)
• Experience integrating external APIs as agent tools
• Experience building REST services (FastAPI or similar)
• Experience with vector databases (OpenSearch, Pinecone, etc.)
• Experience implementing evaluation frameworks for LLM quality
• Experience mitigating hallucinations and prompt instability
• Strong understanding of: Token economics, Context window constraints, Cost-performance tradeoffs
• Experience integrating with GitHub and JIRA APIs
• Production experience beyond notebooks or PoCs

Job responsibilities

• Implement RAG pipelines on AWS Bedrock
• Design knowledge ingestion pipelines (JIRA, GitHub, Confluence, S3)
• Define chunking, embedding, and retrieval strategies
• Design vector storage and retrieval architecture
• Architect tool-calling agent systems (MCP or equivalent)
• Define when to use: Direct API invocation, Lambda-based tools, MCP-based tool integration, Design and implement structured output agents
• Implement hallucination mitigation strategies
• Build evaluation pipelines for model quality and regression testing
• Optimize token usage and latency
• Define model routing strategies (cost vs quality)
• Implement guardrails and structured validation
• Work closely with DevOps to productionize AI services
• Mentor AI engineers and define AI engineering standards
• Define long-term GenAI roadmap and architecture patterns

We are looking for a strong Senior Business Analyst / System Analyst who can structure complex business processes, translate operational and product needs into clear requirements for the development team, and act as a key link between business, product, and engineering.

This role is for someone who can deeply understand processes, identify dependencies between system modules, quickly navigate complex scenarios, and turn them into a logical, clear, and implementable structure.

Product: a ticketing / event-tech platform for the European market within the e-commerce domain, with multiple integrations, operational scenarios, automations, and AI-driven processes.

Requirements

• 5+ years of experience in IT as a Business Analyst / System Analyst / Product Owner
• Experience with complex systems, multi-module products, or enterprise solutions
• Experience with e-commerce products, marketplaces, transactional platforms, or products with multiple user and operational scenarios
• Understanding of e-commerce processes: user journey, checkout, orders, payments, refunds, availability / inventory, notifications, customer support flows
• Experience analyzing and documenting interactions between modules, services, APIs, and external integrations
• Understanding of SDLC and Agile / Scrum / Kanban principles
• Ability to quickly structure large volumes of unstructured information
• Experience documenting business processes, user flows, use cases, system logic, and interaction scenarios
• Experience creating documentation: BRD, SRS, User Stories, Use Cases, BPMN, workflow diagrams
• Ability to translate business requests into clear development tasks
• Experience with Confluence, Jira, Miro, Draw.io, Figma, or similar tools
• Experience with AI tools or AI-driven processes for analysis, information structuring, documentation automation, or workflow optimization
• Systems thinking, strong self-organization, ownership, and communication skills

Nice to Have

• Experience in ticketing / event-tech / event management / entertainment / booking systems
• Experience with products for the European market
• Experience in fintech, SaaS, or enterprise products
• Experience as an Operational BA or Enterprise Systems Analyst
• Experience launching new products, modules, or internal transformation projects
• Experience with high-load operational products or systems with a large number of transactions and integrations
• Understanding of payment flows, fraud checks, invoices, reporting, or customer support automation
• Hands-on experience with LLM tools, chatbots, scoring systems, or internal AI tools

Responsibilities

• Analyze, structure, and document business requirements and processes
• Identify weak points in current processes and suggest improvements
• Prepare technical specifications, user stories, workflow diagrams, BPMN, and other project documentation
• Describe system logic, module interactions, services, and integrations
• Decompose complex business tasks into clear stages for the development team
• Collaborate with product, operations, and engineering teams
• Participate in designing new features, modules, automations, and AI-driven solutions
• Maintain and develop the product knowledge base
• Prepare diagrams, mockups, flows, and user scenario descriptions
• Participate in discovery phases for new products and internal transformation projects
• Ensure consistency between business needs and technical implementation

Working Conditions

• Remote work format
• Paid vacation and sick leave
• Minimal bureaucracy and fast decision-making
• Direct collaboration with the product and key decision makers
• Opportunity to influence process architecture and product development
• Result-oriented and growth-focused team
• Competitive salary
• Work in a Ukrainian product company actively scaling in the European market

We are looking for a strong Analytics Engineer / Product Analytics specialist to help us build a lightweight but reliable analytics and reporting system.

Tasks:

• Build and improve revenue/cohort analytics
• Normalize payment data from multiple providers
• Work with PostgreSQL views and aggregations
• Create cohort calculations and subscription metrics
• Build internal dashboards and reporting
• Validate revenue calculations and payment analytics
• Analyze renewals, failed rebills, recovered payments and churn

Current stack:

• PostgreSQL / Supabase
• Stripe
• PayPal
• React
• TypeScript
• GA4

Required skills:

• Strong SQL
• PostgreSQL
• Cohort analysis
• Subscription/payment analytics
• Stripe subscriptions/payments
• Revenue analytics
• Product analytics mindset

Nice to have:

• Supabase experience
• BigQuery
• Metabase / PostHog
• Experience with subscription products and rebill analytics

Important:

• We care about accurate and reliable numbers
• No overengineering
• Practical mindset is important
• Experience with failed payments / rebills / recovery flows is a big plus

Format:

• Part-time / contract
• Flexible workload
• Long-term possible

About us:

DICEUS is a product company focused on building innovative SaaS solutions for the global insurance and financial services markets. Our mission is to modernize how insurers, brokers, MGAs, and other financial players operate through intelligent underwriting, seamless policy management, and digital engagement platforms. With clients across Europe, the Middle East, and North America, we are redefining how the industry delivers value through technology. 

We are a product-focused insurance technology company developing:

• Policy Administration Systems (PAS)
• Underwriting Workbench (AI-enabled)
• Reinsurance platforms
• Captive and financial modules

Our clients include:

• Insurance carriers
• MGAs
• Reinsurers
• Captive insurance companies

About you:

We are looking for a hands-on specialist who will support outbound campaigns by building highly accurate target lists, enriching contact data, and executing first-touch outreach including cold calls. 

This role is focused on execution. You will work with structured processes and tools, collecting and validating data, identifying the right contacts, and supporting multi-channel outbound campaigns. 

You will work directly with the outbound lead and follow a clear system. 

Responsibilities:

1. Target List Building 

• Research and identify companies within defined segments: MGA, captive managers, captives, multinational insurance players 
• Build structured lists from: association directories, regulator websites, LinkedIn, industry sources  
• Ensure: no duplicates, full coverage of the market  

2. Data Verification 

• Validate each company: confirm business type, confirm relevance to ICP  
• Fill in key fields: website, location, business focus, LinkedIn  
• Follow strict rules: no guessing, mark unknown instead of incorrect  

3. Contact Research & Enrichment 

• Find the right contacts for each company: leadership, operations, finance  
• Collect: name, title, LinkedIn, email, phone (if available)  
• Use tools: LinkedIn, Apollo / Lusha / Hunter / similar  
• Verify emails before use  

4. Data Management 

• Maintain clean and structured spreadsheets  
• Update CRM (e.g., HubSpot)  
• Log all activities: contacts added, data verified, outreach actions  

5. Cold Outreach Support 

• Execute initial outreach steps: LinkedIn connection requests, follow-ups, email sends  
• Perform cold calls: call direct numbers or office lines, ask to connect to the right person, log call outcomes  

6. Process Execution 

• Follow defined outbound processes and sequences  
• Work in batches and maintain high accuracy  
• Meet daily targets for: companies added, contacts enriched, calls completed  

Requirements:

• 1–2 years of experience in: lead generation, research, outbound support  
• Strong ability to: search and find information online, work with structured data, follow processes  
• Experience with: LinkedIn, Excel / Google Sheets  
• Basic experience with outbound tools or CRM is a plus  

Nice to have:

• Experience with:  Apollo, Lusha, Hunter, or similar tools, HubSpot or other CRM, AI tools such as ChatGPT  
• Exposure to insurance, fintech, and B2B markets  

We offer:

• Paid vacation (18 business days) and Statutory Holidays
• Paid sick leaves (10 business days)
• Non-paid days-off (10 business days)
• Professional growth and development opportunities
• Free English lessons