Jobs at Djinni

About the Role

We’re seeking a  Business Analyst/Product Manager to ensure flawless delivery of features to our customers. You’ll work hands-on with development teams to execute the product roadmap defined by our CPO, maintain high quality standards, track team performance metrics, and ensure releases happen on schedule without delays.

This is an execution-focused role. You’ll translate business requirements into technical specifications, manage the delivery process, minimize bugs and incidents, and ensure our customers receive high-quality features on time.

Role Type: Business Analyst (Execution & Delivery focused)

Time Allocation:

Feature Delivery (50% of your time) 

• Manage product backlog for development teams, ensuring 2+ sprints are always groomed 
• Write detailed user stories with clear acceptance criteria and edge cases 
• Conduct bi-weekly sprint planning and weekly backlog refinement sessions 
• Ensure 95%+ of releases ship on scheduled dates - no delays, no excuses 

• Remove blockers proactively to keep teams on track 

   

Technical Documentation (20%) 

• Prepare Business Requirements Documents (BRD) outlining business objectives and scope 
• Write comprehensive Product Requirements Documents (PRD) including:  
• Functional specifications and user flows 
• API specs, data models, integration requirements 
• Technical constraints and performance considerations 
• Acceptance criteria and test scenarios 

• Maintain clear documentation in Confluence for engineering and stakeholders 

   

Quality & Incident Management (15%) 

• Drive bug reduction initiatives - target <3% bug escape rate 
• Manage P0/P1 incidents: triage within 30 minutes, resolve within 4 hours 
• Document post-mortems with root cause analysis and preventive actions 
• Track quality metrics: bug rates, regression issues, technical debt 

• Collaborate with QA on test coverage and automation priorities 

   

Metrics & Reporting (15%) 

• Track team performance: velocity, cycle time, lead time, commitment accuracy 
• Build dashboards in Jira showing real-time delivery health 
• Present quarterly metrics to CPO showing delivery trends and quality improvements 
• Coordinate with stakeholders: Customer Success (weekly), Sales (bi-weekly), Support (weekly) 

Report To: Chief Product Officer (CPO)
Location: Remote (Europe/US time zones preferred for team overlap)

Must-Have Qualifications

• Experience 3-5+ years as Business Analyst  or Product Manager in B2B SaaS, cloud software, or CRM solutions
• Proven track record of on-time delivery: Be ready to share specific metrics (e.g., “Achieved 95% on-time release rate over 12 months”)
• BRD/PRD writing experience: At least 2 years writing technical specifications for engineering teams
• Agile/Scrum mastery: 3+ years managing backlogs, writing user stories, leading sprint ceremonies
• Quality focus: Experience reducing bug rates and managing incident response

• Technical proficiency: Understanding of APIs, cloud platforms, CRM integrations, data models

   

Skills

• Execution Excellence: Ability to drive features to completion on schedule, removing blockers proactively
• Technical Documentation: Strong writing skills for BRD/PRD with clarity and detail
• Analytical: Can track and present team performance metrics (velocity, cycle time, bug rates)
• Quality Mindset: Obsessed with reducing bugs, improving processes, preventing incidents
• Communication: Fluent English (C1/C2), able to explain requirements to technical and non-technical audiences
• Prioritization: Can make quick trade-off decisions to keep releases on track

• Incident Management: Experience triaging and coordinating response to production issues

   

Tools Proficiency

• Jira/Linear: Advanced backlog management, sprint planning, reporting
• Confluence: Documentation, BRD/PRD templates, knowledge management
• Analytics: Mixpanel, Amplitude, Google Analytics for feature tracking

• Design: Figma collaboration for UI/UX specifications

   

   

Mindset

• Delivery-focused: Obsessed with hitting release dates and shipping quality features
• Detail-oriented: Catches edge cases, writes comprehensive acceptance criteria
• Proactive problem-solver: Removes blockers before they impact timelines
• Quality-driven: Won’t ship until it’s right, balances speed with quality
• Team player: Supports engineering, collaborates with cross-functional teams
• Customer-centric: Understands impact of delays and bugs on customer experience

🌟 Nice-to-Have (Bonus Qualifications)

Experience

• 3-5+ years product ownership experience (for Senior-level consideration)
• Previous experience in CRM industry (Salesforce, HubSpot, Pipedrive ecosystem)
• Background as Business Analyst, Solutions Engineer, or QA Lead (strong documentation skills)
• Experience with DevOps practices (CI/CD, release automation, monitoring)
• Incident management training (ITIL, SRE practices)

• Experience managing API products or developer-facing features

   

Skills & Knowledge

• SQL proficiency: Can write queries to analyze feature usage and performance
• Scripting/automation: Python, JavaScript for data analysis or tooling
• Advanced Jira: Custom workflows, automation rules, dashboard creation
• API documentation: Swagger/OpenAPI specification writing

• Performance testing: Understanding of load testing and scalability considerations

   

Why Join Proxima CRM?

Execution Impact: Your work directly affects customers. Every feature you deliver improves their workflow and business outcomes.

Quality Culture: We value doing it right over doing it fast (but we do both). You’ll have support to maintain high standards.

Modern Processes: We use best practices in Agile, documentation, and incident management. You’ll work with experienced teams.

Growth: Early product ownership hires have opportunities to take on more scope, mentor others, and grow into leadership roles.

Flexibility: True remote-first. Work from anywhere with flexible hours and async-first culture.

Proxima CRM is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.

Key Tasks

Management and control of operational licensing and billing processes between the Holding companies, clients, and AWS Marketplace.

Key Responsibilities

• Analyze and document existing licensing business processes and AWS Marketplace interactions.
• Manage the main account and customer root accounts on AWS Marketplace, including credentials transfer.
• Create and publish offers and contracts in AWS Marketplace based on approved commercial proposals.
• Maintain and develop the main dashboard to control alignment between commercial proposals and active production users.
• Monitor registered licenses on AWS Marketplace and resolve data discrepancies across various sources.
• Interact with AWS Marketplace regarding internal and client account management, as well as billing issues.
• Support Commercial and Legal departments in structuring the legal framework for AWS licensing agreements.
• Control invoicing processes and payment processing.
• Prepare revenue and financial performance reports for management.
• Participate in financial department tasks, including bonus calculations based on management accounting data.

• Propose improvements for managed business processes and implement new automation tools.

   

Requirements

• 1+ years of experience with Marketplace systems (managing accounts offers and contracts).
• Deep understanding of SaaS licensing and billing processes.
• Experience with ERP or financial accounting systems (1C, SAP, or equivalents).
• Advanced user of MS Excel / Google Sheets; experience with Power BI is a plus.
• Strong attention to detail with the ability to identify and eliminate data discrepancies.
• Proven track record in financial reporting and preparing materials for management.
• Skills in business process mapping and documentation.
• English level: Intermediate+ (reading technical documentation, corresponding with AWS).

• Will be a plus: Experience in holding structures or product IT

   companies.

   

Working Conditions

• Schedule: 9:00 AM – 6:00 PM.
• Format: Hybrid or remote work.
• Employment: Official employment or Gig-contract (or B2B Contract)
• Benefits: 24 calendar days of paid vacation and paid sick leaves.

Reports to: Global Head of AI & Advisory
Location: Ukraine
Status: Full-Time

Working hours: 9 AM - 5 PM EST

About Atlas Technica
Atlas Technica is a technology partner to hedge funds, private equity firms, and other sophisticated financial services organizations. We are known for combining strong service, process discipline, and technical depth. As Atlas expands its AI & Advisory practice, we are building the operational backbone needed to help the function scale cleanly and professionally.
We are looking for someone who is organized, sharp, proactive, and calm under pressure — someone who can bring order to a fast-moving environment, keep important work from slipping, and help senior stakeholders execute at a high level.

About the role
This is not a pure administrative assistant role.
This role sits at the center of the AI & Advisory function and helps keep commercial, operational, and executive work moving. You will support the Global Head of AI & Advisory across scheduling, follow-up, pipeline coordination, proposal preparation, CRM hygiene, meeting logistics, internal handoffs, and high-quality business materials.
The right person is not waiting to be told every next step. They are the kind of operator who notices gaps, follows through, chases loose ends, keeps records clean, and helps senior people stay focused on the highest-value work.
This role is ideal for someone with experience in sales coordination, business operations, executive support, or commercial administration in a B2B, technology, or professional services environment.
 

What you will do
 

• Own scheduling and coordination for internal, client, partner, and prospect meetings
• Manage calendar logistics for the Global Head of AI & Advisory, including prioritization, rescheduling, preparation, and follow-up
• Coordinate meeting agendas, briefing materials, action items, and next steps so conversations turn into execution
• Help prepare polished proposals, presentations, briefs, and other external-facing business materials
• Maintain accurate records across HubSpot and related systems so meetings, outreach, follow-up, and pipeline activity are current and visible
• Support opportunity coordination across AI & Advisory, Business Development, Service Operations, Finance, Marketing, and Delivery
• Track internal dependencies, approvals, and handoffs so opportunities and projects do not stall
• Monitor shared inboxes and help route, triage, and close the loop on inbound requests
• Support reporting and operational visibility across pipeline, activity, and priority workstreams
• Maintain organized folders, templates, collateral, and working documents for the AI & Advisory practice
• Coordinate logistics for client, partner, and internal events when needed
• Handle travel and expense coordination as required
• Help create structure where structure does not yet exist

What we are looking for
 

• 3+ years of experience in sales coordination, sales operations, executive support, business operations, or commercial administration
• Excellent written and verbal English
• Strong organizational discipline and follow-through
• Very high attention to detail
• Comfort working across multiple systems at once without losing track of priorities
• Experience with CRM platforms such as HubSpot, Salesforce, or similar
• Strong PowerPoint / presentation and document-formatting skills
• Ability to coordinate across multiple stakeholders and move work forward without constant supervision
• Good judgment, professionalism, and discretion
• Confidence working with senior internal and external stakeholders
• Comfort in a fast-moving, sometimes ambiguous environment
• Strong digital fluency, including confidence learning new tools quickly

Nice to have
 

• Experience in a technology, MSP, SaaS, consulting, or professional services business
• Experience supporting sales teams, proposals, or RFP responses
• Experience working in a remote international team
• Familiarity with AI tools for note-taking, drafting, research, or workflow support

What success looks like

In the first 3–6 months, this person should be visibly improving the operating cadence of the AI & Advisory function by:
 

• keeping calendars and follow-up under control
• improving meeting preparation and execution
• helping maintain cleaner pipeline and CRM records
• reducing dropped balls across internal handoffs
• producing polished materials quickly and reliably
• becoming a trusted operator for high-priority work

Who will do well here
This role fits someone who enjoys being the person behind the scenes who keeps important work moving.
It is a strong fit for someone who wants meaningful exposure to senior leadership, client-facing business activity, and a growing AI-related function — but who is strongest in coordination, execution, organization, and commercial support rather than quota-carrying sales.
 

Atlas Technica is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, disability, or other protected characteristics under applicable law.

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with at least one JVM language
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

Are you a Senior Backend Engineer passionate about building scalable AI-driven systems? 

Join us at Sigma Software to work on a cutting-edge platform that transforms how large-scale engineering organizations manage and analyze complex technical data.
This is a remote position with flexible locations across Europe, Ukraine, and LATAM. You will be part of an innovative team leveraging AI, semantic graphs, and distributed processing to deliver impactful solutions.
At Sigma Software, we value expertise, creativity, and collaboration. Why join us? You will work with advanced technologies, contribute to mission-critical projects, and be part of a company recognized for excellence and innovation.

CUSTOMER
Our customer operates in the AdTech industry, delivering advanced technology solutions that optimize advertising performance and audience targeting. While the name is confidential, the organization is known for leveraging cutting-edge AI and data-driven strategies to enhance campaign effectiveness and deliver measurable business impact.

PROJECT
We are developing a next-generation AI-powered Knowledge Base and Gap Analysis platform for SysML-based engineering environments. The system enables large-scale engineering organizations to ingest, structure, analyze, and reason over complex MBSE artifacts and technical documentation. It supports both cloud and secure classified environments, improving traceability, identifying gaps, and enhancing decision-making in mission-critical projects.

Responsibilities

• Design and develop scalable AI-powered backend systems for SysML-based engineering environments
• Build and maintain distributed data ingestion and ETL pipelines for large-scale engineering artifacts and technical documentation
• Develop and optimize LLM-powered workflows for metadata extraction, semantic analysis, and entity resolution
• Implement AI agents and multi-agent orchestration workflows
• Design and improve RAG-based architectures and semantic retrieval pipelines
• Develop graph-based knowledge representation and traceability analysis solutions
• Work with graph databases, graph processing libraries, and semantic relationship modeling
• Build and optimize distributed data processing workflows using Apache Spark
• Collaborate with cross-functional engineering teams to integrate AI capabilities into platform services
• Design scalable and high-performance APIs and backend services
• Improve system reliability, scalability, observability, and performance across distributed environments
• Participate in architecture discussions and technical decision-making processes
• Contribute to cloud-native infrastructure and deployment workflows
• Support deployments in secure, air-gapped, or classified environments when required
• Create and maintain technical documentation and engineering best practices

Qualifications

• At least 5 years of commercial experience in software engineering, Data Engineering, or AI systems development
• Experience with Python
• Hands-on experience building distributed and scalable systems
• Practical experience with LLM-based applications and AI integrations
• Experience building AI agents and multi-agent systems
• Strong understanding of RAG architectures and semantic retrieval workflows
• Hands-on experience with graph technologies, graph libraries, or graph databases
• Experience with Apache Spark and distributed data processing
• Strong understanding of ETL pipelines and large-scale data ingestion workflows
• Experience with cloud-native infrastructure and distributed environments
• Practical experience with backend platform development and API integrations
• Good understanding of semantic search, entity resolution, and metadata extraction
• Experience working with highly scalable and high-performance systems
• Strong problem-solving and communication skills
• Upper-Intermediate level of English

WILL BE A PLUS

• Background in Data Engineering
• Experience with  distributed data processing, Apache Spark, or Apache Beam
• Experience with Knowledge Graphs and graph-based semantic modeling
• Familiarity with MBSE or SysML environments
• Experience supporting air-gapped or classified environments
• Experience with vector databases and embedding pipelines
• Experience with Kubernetes and cloud platforms such as AWS, GCP, or Azure

Additional information

PERSONAL PROFILE

• Analytical mindset with strong problem-solving skills
• Ability to work independently and in a distributed team
• Adaptability to secure and classified environments
• Strong communication and collaboration abilities
• Passion for AI-driven engineering solutions

Join Sigma Software and become part of a team where innovation meets impact. We are looking for a Middle Product Analyst to work remotely from Ukraine or Europe, contributing to cutting-edge AdTech solutions.

You will collaborate with skilled professionals in an agile environment, where your expertise will help shape products that drive measurable business results.

Customer

Our customer is an international technology company specializing in high‑load platforms for data processing and analytics. Their flagship product enables businesses to manage vast volumes of data, build predictive models, and extract actionable insights. Operating globally, they serve clients in the marketing and advertising domain, leveraging cutting-edge technologies, microservices architecture, and cloud‑based solutions to deliver scalable and innovative AdTech systems.

Project

The project focuses on enhancing a data-driven AdTech platform that processes large datasets to optimize marketing campaigns and audience targeting. It integrates advanced analytics, machine learning models, and BI frameworks to deliver measurable business impact. The team works in an agile environment, collaborating closely with Data Scientists, Product Managers, and stakeholders to ensure continuous improvement and innovation in product features.

Key Technologies: Python, Databricks, PySpark, Confluence, Matplotlib

Responsibilities

• Collaborate with Data Scientists to design and refine product features powered by analytics
• Analyze complex datasets to identify trends, anomalies, and opportunities for optimization
• Translate business needs into actionable analytical tasks and solutions
• Support feature launches through testing, feedback gathering, and performance monitoring
• Evaluate feature usage and assess their business impact
• Acquire domain expertise in AdTech to propose enhancements and new ideas
• Participate in data science initiatives, contributing to research and innovation efforts

Requirements

• 3–4 years of experience in solving business problems and delivering actionable insights
• Good knowledge of Python and SQL
• Proven track record in delivering analytics projects using EDA and data analysis tools
• Experience with large datasets and ensuring data integrity
• Proficiency in data visualization tools (Tableau, Power BI, or similar)
• Experience working within Agile frameworks and collaborating with cross-functional teams
• Excellent time management and prioritization skills
• Upper-Intermediate level of English or higher

• Bachelor’s or Master’s degree in engineering or MBA

   

WILL BE A PLUS:

• Experience with Databricks and PySpark
• Familiarity with AdTech domain
• Understanding of cloud-based solutions

Company Description

Are you a seasoned engineer passionate about building scalable, high-performance systems? This Senior-level role offers the opportunity to work remotely with talented teams across Europe, Ukraine, and LATAM.

At Sigma Software, we deliver cutting-edge solutions for global customers, combining technical excellence with a service-minded approach. In this role, you will join a distributed team to architect and evolve an advanced Ads platform, contributing to both innovation and stability.

Why join us? You will work on complex, high-impact systems, collaborate with international experts, and enjoy the freedom to shape architecture and technical patterns that drive long-term success.

CUSTOMER

We partner with a leading company in the AdTech space, delivering high-performance, scalable solutions that empower advertisers to manage campaigns, optimize targeting, and analyze results in real time. The Customer values innovation, reliability, and long-term collaboration, and operates globally with distributed teams in Europe, LATAM, and other regions.

PROJECT

The project focuses on building and evolving core systems for an advanced Ads platform integrated into a product for the interior decor industry. This product enables users to preview and visualize home items before purchase, enhancing shopping experiences both online and in-store.

Job Description

• Design, develop, and maintain APIs and services supporting ad campaign management, targeting, delivery, attribution, and reporting
• Architect scalable, reliable, and high-performance distributed systems
• Optimize systems for high-throughput and low-latency event/data processing
• Drive architectural decisions and establish development patterns
• Collaborate with distributed teams to ensure seamless integration and delivery
• Mentor and guide other engineers, fostering technical excellence

• Ensure code quality, maintainability, and alignment with long-term product goals

   

Qualifications

• At least 5 years of commercial experience in building scalable, high-performance systems
• Hands-on experience with AdTech solutions such as DSP, SSP, ad exchange, prebid, Google Ad Manager, or openRTB
• Strong proficiency in Python, preferably with the Django framework
• Solid knowledge of computer science fundamentals, including data structures, algorithms, and distributed systems
• Good understanding of distributed system architecture with a focus on data availability, reliability, and performance
• Practical experience with Kubernetes, PostgreSQL, and AWS

• Upper-Intermediate level of English

   

WILL BE A PLUS

• Experience with dbt and Redshift

• Familiarity with interior decor industry solutions

   

Additional Information

PERSONAL PROFILE

• Attention to detail and quality
• Excellent communication skills
• Leadership mindset, proactiveness

We are looking for a Middle Full-Stack Software Engineer with hands-on experience in TypeScript, React/Next.js, and practical experience working with Python-based backend services.

The ideal candidate is comfortable owning features end to end — from frontend implementation and user-facing flows to backend services, APIs, integrations, and production support. 

This role is a good fit for an engineer who enjoys working across the stack, solving complex integration challenges, and contributing to a product in the AI communication space. 

The position is slightly frontend-leaning, but still requires the ability to read, write, and maintain backend services. 

CUSTOMER 

The customer is a product company developing a platform for automating customer communications using AI-based solutions. 

The team is small, fast-scaling, and operates with a low level of bureaucracy. The role involves direct communication with the customer team and a strong ownership-oriented engineering culture. 

The project is in an active development phase. The candidate will work on frontend features, backend services, external provider integrations, and contribute to the ongoing development of the existing platform. 

PROJECT 

The project is an agentic call center platform that uses Voice and Text AI agents to conduct real customer conversations, automate workflows, and integrate with CRMs and telecom providers. 

The platform helps businesses automate customer communication at scale, including bookings, call transfers, CRM workflows, messaging, and routing. 

From a technical perspective, the project is interesting because it includes frontend development with React/Next.js, backend services in Python, GraphQL APIs, real-time voice AI workflows, integrations with external providers, MongoDB, Aurora, RabbitMQ, Redis, Docker/ECS, and a future migration toward Kubernetes. 

Key Technologies 

TypeScript, React, Next.js, GraphQL, Apollo, Python, MongoDB, Aurora / PostgreSQL, RabbitMQ, Redis, Docker, ECS, Kubernetes, AWS, AI/LLM integrations, real-time voice AI. 

RESPONSIBILITIES 

• Develop and maintain full-stack features in a production environment.  
• Build user-facing functionality using TypeScript, React, and Next.js.  
• Work with server-side rendering and general Next.js patterns.  
• Build, consume, and maintain GraphQL APIs, ideally using Apollo.  
• Read, write, and maintain backend services in Python.  
• Contribute to API design, data modeling, and service-to-service communication.  
• Support integrations with CRMs, telecom providers, and AI-related vendors.  
• Work with MongoDB and Aurora / PostgreSQL for data storage.  
• Participate in debugging across the stack — from browser DevTools to backend logs.  
• Work with Docker and containerized deployments.  
• Contribute to CI/CD improvements, deployment safety, logging, monitoring, and observability.  
• Help keep production services stable, reliable, and easy to support.  
• Communicate directly with the customer team and take ownership of tasks from start to finish.  

REQUIREMENTS 

• 3+ years of full-stack engineering experience, preferably with a frontend focus.  
• Experience owning features end to end in a production environment.  
• Good working knowledge of TypeScript.  
• Strong experience with React and Next.js.  
• Familiarity with server-side rendering and general Next.js patterns.  
• Experience working with GraphQL, ideally Apollo.  
• Ability to build and consume GraphQL APIs.  
• Comfortable working with Python: able to read, write, and maintain backend services.  
• General understanding of backend fundamentals: API design, data modeling, and how services communicate with each other.  
• Experience with Docker and containerized deployments.  
• Experience with MongoDB or a relational database such as PostgreSQL / Aurora.  
• Understanding of basic schema design and ability to write reasonable queries.  
• Ability to debug across the stack, from frontend issues to backend logs.  
• Interest in production topics: logging, monitoring, reliability, and service health.  
• Proactive communication and ability to take a task and drive it without constant hand-holding.  
• Comfortable working in a small team with direct customer communication.  

WILL BE A PLUS 

• Experience with Python backend services in production.  
• Exposure to messaging systems such as RabbitMQ or similar tools.  
• Experience with Redis or other caching tools.  
• Experience with real-time systems: telephony, WebSockets, streaming, low-latency pipelines.  
• Familiarity with vendor orchestration patterns: fallback routing, provider selection.  
• Any Kubernetes experience, even in dev/staging environments.  
• Experience with AI/LLM, TTS/STT, or voice-related systems.  
• Exposure to security/compliance concepts: SOC 2, secrets management, audit trails.  

PERSONAL PROFILE 

• Proactive and ownership-driven mindset.  
• Comfortable working across frontend and backend.  
• Enjoys solving complex product and integration challenges.  
• Interested in AI-driven communication products.  
• Strong problem-solving skills.  
• Effective communicator in distributed and small teams.  
• Able to work independently and clarify requirements when needed. 

We're building an AI-powered procurement platform for the construction industry that automates supplier sourcing, tender management, bid evaluation, and purchasing decisions.

The platform processes construction estimates, extracts procurement data, identifies suppliers, sends tender requests, collects responses, scores offers, and generates AI-driven recommendations.

The MVP is already built and validated. We're now entering the production-readiness phase and looking for a strong engineer to help scale the platform for commercial launch.

Engagement

• Full-time
• Long-term project
• Production launch planned for November
• Work expected through at least the end of the year, with potential continuation into 2027 as the product expands into new markets and feature

What You'll Do

• Prepare the existing MVP for production launch.
• Design and improve a secure multi-tenant SaaS architecture.
• Implement subscription plans and payment workflows.
• Build and maintain backend services and business logic.
• Ensure proper data isolation between organizations and customers.
• Develop and enhance AI-powered product features.
• Improve document parsing, scoring, and recommendation systems.
• Integrate and maintain Google Authentication and Google Calendar.
• Implement monitoring, alerting, and backup strategies.
• Collaborate closely with the Technical PM and QA.
• Proactively identify risks, blockers, and scalability challenges.
• Support the long-term growth and expansion of the platform.

What We're Looking For

• Strong experience building and maintaining production SaaS products.
• Experience with multi-tenant architectures.
• Backend-oriented engineering mindset.
• Experience implementing subscriptions and billing systems.
• Strong PostgreSQL knowledge.
• Production experience with Supabase.
• Experience integrating AI functionality into real-world products.
• Understanding of LLM-based systems and AI product. architecture.
• Ability to evaluate trade-offs between quality, speed, reliability, and cost.
• Comfortable communicating directly with product stakeholders

AI Experience We Value.

We're looking for someone who understands how AI features operate inside production software, not just chatbot integrations.

Experience with:

• LLM integrations within business workflows.
• Model selection for different use cases.
• AI-powered document processing and extraction.
• Recommendation and scoring systems.
• Prompt reliability and response quality.
• Token cost optimization.
• Performance vs quality trade-offs.

• Building maintainable AI-powered product features.

   

Nice to Have

• ConstructionTech, PropTech, or Procurement experience.
• Tendering and supplier management platforms.
• BOQ/BOM/document parsing.
• Paddle.
• Google Calendar integrations.
• Sentry.
• Experience preparing MVPs for production launch.

• European SaaS products with compliance requirements.

   

Tech Stack

Frontend: Next.js 16, React 19, TypeScript.

Backend & Data: Supabase, PostgreSQL, Row Level Security (RLS), Storage, Auth.

AI: OpenAI, Anthropic Claude.

Payments & Integrations: Paddle, Google OAuth, Google Calendar, Resend.

Infrastructure: DigitalOcean, Cloudflare, GitHub Actions.

Monitoring & Automation: Sentry, Inngest.

What’s In It for You?

• Career Growth — Opportunities to develop and advance.
• Performance Reviews — Regular feedback and support.
• Work Anniversaries — Special gifts to celebrate milestones.
• Flexible Work — Hybrid or remote (Lviv office available).
• Mentorship — Guidance from experienced professionals.
• Accounting Support — We handle the paperwork.
• Paid Time Off — 18 vacation days + 5 sick days per year.
• Extra Leave — 10 additional days off annually.
• Free Office Lunches — Enjoy meals on us.
• Team Events — Gatherings, gifts, and a welcoming atmosphere.

We are looking for a skilled Senior Technical Product Manager who can bridge product, engineering, AI quality, UX, and commercial decision-making.

Client: VC-funded AI tourism platform building the next generation of travel experiences through artificial intelligence.

Product: The product ecosystem includes an AI travel assistant, content enrichment systems, and partner integrations that help transform how travelers discover, plan, and experience destinations.

Team: Small, highly technical team that moves quickly, ships frequently, and focuses relentlessly on product quality and customer value.

Technology stack:

• AI products: an AI travel assistant and a content enrichment system
• Backend: Go monorepo, 3+ services
• Hosting: PaaS-managed containers
• Observability: Jaeger tracing, Betterstack
• Databases: PostgreSQL, Redis
• AI tooling: Claude Code used across the team

The Role

This is a supportive Senior Product role, not a Head of Product or Pod Lead. You will act as a Product Manager supporting two or three engineering pods, helping improve product quality, user experience, AI performance, commercial viability, and market competitiveness.

You must be technically experienced enough to discuss prompts, evaluations, model behavior, and architecture with engineers as peers and be willing to build small things on your own.

What you’ll actually do:

• Sit alongside two to three engineering pods as their senior product partner, advising on quality, roadmap, and behavior while pod leads own delivery
• Run market and competitor analysis across AI travel, AI assistants, and supplier platforms, and feed that back into the roadmap and pricing decisions
• Own the commercial and pricing input on client deals, working with the founders so that contracts and scope reflect what we actually build
• Lead UX research and design oversight across products, raising the bar on internal tooling and customer-facing interfaces
• Translate user behavior, supplier feedback, and competitor moves into clear, testable improvements
• Review AI assistant prompts and interactions regularly, working with engineers on evals and quality benchmarks
• Build dashboards and reporting that turn AI performance into a story stakeholders can read
• Join client and supplier calls when product context, pricing, or commercial discussions are on the table

What you will contribute to:

• Market and competitor intelligence across AI travel and assistant products
• Commercial input on pricing, contracting, and client scope
• UX research and design quality across our AI products and partner-facing surfaces
• Eval coverage, quality dashboards, and AI performance reporting
• Product context for supplier and client integrations

You are a great fit if you:

• Get genuinely curious when an AI product behaves unexpectedly and dig in until you understand why
• Think in user journeys, quality metrics, and commercial impact rather than tickets and burndowns
• Are comfortable being a senior advisor across multiple pods rather than running one of them
• Care more about whether the product works for real customers than about the process ceremony
• Enjoy working in a small, fast team where your decisions reach users quickly
• Want to stay long-term and help shape how AI changes travel

🙅 Probably not the right role for you if:

• Your background is mainly project management, Scrum mastery, or engineering management
• You have never worked on a product that uses LLMs in production
• You have never owned commercial or pricing responsibility
• You expect to lead a pod or have engineers report to you
• You expect detailed specs handed to you before you start
• You are outside European or African time zones

Required ExperienceMust Have

• Critical: Hands-on engineering background before moving into product management. If you have only worked as a Project Manager or Scrum Master, this role is not for you
• Production software development experience within the last 5 years
• Critical: Recent active use of Claude Code or an equivalent agentic tool within the last 12 months, and willingness to still build small things hands-on
• Critical: 3+ years co-leading or leading product at an enterprise B2B or SaaS company, with both commercial and product responsibilities
• Critical: Hands-on experience with AI products in production. Deep understanding of: prompts, evals, harnesses, hallucination handling, and model selection
• Strong technical experience: you can read code, follow an architecture diagram, and push back on engineers without overriding them
• Experience with internal admin tooling and B2B user interfaces, not only consumer products
• Excellent written and spoken English
• Availability to work full-time within ±3 hours of CET

Nice to Have

• Travel industry experience
• German language skills
• Past work on AI assistants, chat-based products, or recommender systems
• Corporate or legacy enterprise background alongside startup experience
• Experience setting up product analytics, evaluation frameworks, and quality dashboards from scratch

Job Details:

• Full-time, 40hrs/week
• Fully remote work
• Long-term cooperation
• Modern AI-first development environment (heavy use of Claude Code)
• International team
• Paid sick leave, vacation days, and benefits
• B2B contract

We are building a game provider aggregator platform from scratch and looking for a Product Manager / Product Owner to own the product strategy, roadmap, and successful delivery of the platform. You will be a key bridge between the engineering team, business stakeholders, and provider partners, ensuring the aggregator delivers clear commercial value to operators.

Responsibilities

• Define the product strategy and roadmap for the aggregator (from provider widgets and API integrations to marketplace capabilities and analytics).
• Analyze the iGaming aggregator market, competitors, and operator needs (B2B clients).
• Gather requirements, prioritize features, and document clear PRDs, user stories, and UX tasks.
• Work closely with CTO, engineers, and QA to ensure smooth delivery and high‑quality releases.
• Define and monitor product metrics: integration conversion, SLA performance, number of active providers/operators, etc.
• Oversee the integration process with game providers and operators, including technical specs, SLAs, and documentation.
• Lead Agile/Scrum processes (sprints, backlog grooming, retrospectives) and ensure product‑team alignment.

Requirements

• 3–5+ years of experience as a Product Manager / Product Owner / Product Lead.
• Strong background in iGaming or in B2B platforms, marketplaces, or service aggregators.
• Practical experience with aggregation of services/content (game providers, media, SaaS, delivery platforms, etc.).
• Understanding of APIs, integrations, and technical workflows; able to talk both “business” and “engineering.”
• Experience with Agile/Scrum, Jira/Trello, and analytics tools (Google Analytics, Amplitude, or custom dashboards).
• Strong communication, presentation, and negotiation skills with technical and business partners.
• English at B2/C1 level or higher for international collaboration.

Nice to have

• Experience with iGaming aggregators, RGS, casino fronts, or betting platforms.
• Basic understanding of iGaming regulations (KYC, AML, licensing by region).
• Background in startups or fast‑growing companies.

We offer:

• Remote work from anywhere in the world (Mon-Fri from 10:00 to 19:00 Kyiv time)
• Creative and dynamic environment
• The possibility of rapid career growth (companies at the stage of active growth are an ideal place for a rapid take-off)
• The minimum amount of bureaucracy, complete freedom, if it leads to it
• Work with the international market and the main focus on Europe
• We compensate: advanced training courses, foreign language courses, etc.
• Paid vacation and sick leave

We’re looking for a proactive, results-driven SEO expert who is passionate about their craft, takes initiative, and continuously strives to grow. 

You’re a great fit if you have: 
5+ years of SEO experience (Google) 
Strong command of SEO tools: Ahrefs, Semrush, GSC, GA 
Solid self-management and responsibility 
Motivation to learn and grow 
Bonus: Western GEO experience, large-scale projects (1000+ pages), PBN building, drop-domain research 

What you will do: 
Analyze niche & competitors 
Build SEO strategies 
Conduct technical audits & prepare specifications 
Create tasks for copywriters & review content 
Manage link-building processes 
Work with tools (Ahrefs, Similarweb, Semrush, etc.) 

What we offer: 
Fully remote work 
Competitive salary + quarterly KPI bonuses 
Opportunity to build and scale the SEO direction in the company 
A strong team of professionals 
Flexible schedule (start 8:00–10:00) 
Paid vacation, sick days & day-off policy

We are looking for an experienced Guidewire Developer to join our engineering team and contribute to complex insurance platform projects, including cloud migrations and deep system integrations.

Project: Insurance domain — end-to-end development and modernization of policy, billing, and claims management systems built on the Guidewire platform.

Responsibilities

• Design, develop, and maintain Guidewire-based solutions across PolicyCenter, BillingCenter, and ClaimCenter
• Lead and participate in Guidewire Cloud migration initiatives
• Build and maintain integrations with finance, payment, and document management systems using REST, SOAP, and XML
• Produce High-Level and Low-Level Design documentation to support solution architecture
• Perform data reconciliation between Guidewire and Data Warehouse environments
• Collaborate with business analysts, architects, and QA engineers within Agile delivery teams

• Ensure code quality through reviews, best practices, and adherence to Guidewire standards

   

Requirements

• 4+ years of hands-on experience with Guidewire (PolicyCenter, BillingCenter, and/or ClaimCenter)
• Proven experience with Guidewire Cloud migration projects
• Strong integration expertise across finance, payment, and document management domains
• Solid command of GOSU, XML, REST, and SOAP
• Experience creating High-Level and Low-Level Design documentation
• Data reconciliation experience between Guidewire and Data Warehouses
• Agile delivery experience (Scrum or Kanban)

• Upper-Intermediate English or higher

   

Nice to have:

• Guidewire Professional or ACE Certification
• Java, Python, or PL-SQL skills
• Experience with Spring Boot, React, or Angular
• Familiarity with Jenkins, Docker, or Kubernetes
• Knowledge of Oracle or MS SQL

What We Offer

• Transparent strategy and thoughtful management that keep everyone aligned
• Space for personal growth and career development without limits
• A culture of continuous learning: internal courses, workshops, and English classes twice a week
• Skill up events where we share experience and stay on top of trends
• Competitive perks: flexible schedule, a strong compensation package, support for professional certifications, and generous vacation policy
• Team spirit that thrives through regular events, gatherings, and celebrations

We are looking for a Front-end Magento 2 developer with an opportunity to work remotely.

Main things you will need to:

1. Strong knowledge of HTML, CSS, JavaScript і KnockoutJS, Magento 2

2. Experience with ООП, PHP та MySQL, Docker, Gulp.

3. Experience with VueJS 1 year+
4. Experience with Hyva checkout 1 year+

It would be great if you had experience with Composer, Solr, Elastic Search, Redis, Vagrant, Varnish, APC, Memcached. But if you haven’t, it’s OK too, we will learn it together!

With us you will get:

1. We declare work-from-home from anywhere in the country, as well as work in the office. But if you get bored at home, welcome to the office, which situated in the city center in Dnipro;

2. People-oriented management and minimum of bureaucracy;

3. And, like elsewhere, we have compensation of English study, sports and useful events;

4. Social package (vacation, sick leaves, public holidays) we have too.

Please fill free to contact if you have any questions,

And see you!

We are looking for a Magento 2 Back-end developer with an opportunity to work remotely.

According to the main technologies you will encounter with us: of course PHP, OOP, Magento 2, experience with Hyva checkout; encountered REST / SOAP; it would be great if these things were encountered: Composer, Solr, Elastic Search, Redis, Vagrant, Varnish, APC, Memcached, Hyva, PWA.

With us you will get:

1.We declare work-from-home from anywhere in the country, as well as work in the office. But if you get bored at home, welcome to the office, which situated in the city center in Dnipro;

2. People-oriented management and minimum of bureaucracy;

And, like elsewhere, we have compensation of English study, sports and useful events;

3. Social package (vacation, sick leaves, public holidays) we have too.

Please fill free to contact if you have any questions.

And see you!