Jobs at Djinni

We are looking for a NetSuite Technical Engineer to join our team in a growing HVAC and field service business and help maintain and improve our NetSuite environment.

This role is focused on solving complex technical issues, debugging existing customizations, improving scripts and workflows, and implementing reliable solutions inside a production NetSuite environment.

You should be able to investigate problems independently, explain root causes clearly, and communicate technical solutions in English.

Advanced spoken English is mandatory.

Responsibilities:

• Investigate and fix complex NetSuite issues
• Debug existing SuiteScript customizations
• Improve workflows, scripts, and automations
• Propose and implement reliable technical solutions
• Work closely with technical leadership on important decisions

Requirements:

• Strong NetSuite experience
• Strong SuiteScript / JavaScript skills
• Experience with debugging and improving existing code
• Strong problem-solving skills
• Ability to work independently
• Advanced spoken English

Nice to have:

• SuiteQL / Saved Searches
• NetSuite integrations
• ERP systems background
• Experience supporting operations, service, or field-service businesses

Salary: $2500–4000

Format: Full-time, Remote

Tech Stack:
• Python (5+ years)
• Strong working knowledge of SQL for data extraction and analysis (3+ years preferred)
• API integration with LLMs: OpenAI, Azure OpenAI, Claude
• ML/LLM architectures: RAG, embeddings, retrievers
• DevOps/MLOps: Docker, deployment of models on dedicated servers or cloud infrastructure
• Nice to have: FastAPI, vector databases (FAISS, Weaviate), prompt engineering
• Tools under consideration: LangChain or similar frameworks for rapid prototyping of LLM-based pipelines
 
Responsibilities:
• Design and build a production-grade LLM+RAG system for contextual data analysis
• Integrate external data sources and tools into the assistant’s knowledge base
• Set up and fine-tune LLMs on dedicated infrastructure or in the cloud
• Develop complex multi-step agents and orchestrated pipelines
• Build integrations with different platforms via API
• Ensure performance, scalability, and CI/CD automation of the ML systems
 
Requirements:
• Proven experience building real-world AI/ML products
• Deep understanding of the full machine learning lifecycle
• Experience working with popular LLM APIs and frameworks
• Ability to work independently and propose technical solutions
• Hands-on experience with LLM+RAG design patterns and prompt engineering
 
We Offer:
 

• A fully remote role with flexible engagement (full-time or contract) – you can also choose to work in the office or in a hybrid format if you prefer
• An opportunity to influence and shape the architecture and overall direction of the AI product
• Work at a large product company with a wide range of in-house developed solutions, many of which have been leading the market for over 15 years
• Access to diverse internal projects, enabling you to develop various skill sets and show your potential in different areas
• A competitive compensation package that reflects your experience and skills, with opportunities for review based on performance

About Shop Innovator
We help premium, high-ticket Shopify brands scale by building high-converting sales machines. We are looking for a hands-on Shopify professional who can build polished storefronts, maintain client stores, and manage day-to-day website updates.

About the Role
This hybrid role combines Shopify front-end development, website maintenance, content management, and direct client support. You will convert Figma designs into code, optimize storefront performance, and serve as a reliable technical point of contact for our clients and internal team.

What You'll Do

• Shopify Development: Build responsive pages, sections, and OS 2.0 templates using Liquid, HTML5, CSS3, and JS. Convert Figma designs into pixel-perfect code using Git/GitHub workflows.
• Store Management & Maintenance: Maintain client stores, troubleshoot theme bugs, install/configure apps, manage content updates, and optimize page speed and Core Web Vitals.
• Client & Team Collaboration: Communicate directly with clients via email and calls (5–10 calls/month) to explain technical solutions, gather requirements, and manage task updates in ClickUp.

• CRO & Marketing Support: Build landing pages, add conversion elements (reviews, trust badges, FAQs), and configure third-party tools like Klaviyo, Judge.me, GA4, and Meta Pixel.

   

What We're Looking For

• At least three years of professional Shopify development or website-management experience.
• Strong knowledge of Shopify Liquid.
• Strong HTML5, CSS3, and JavaScript skills.
• Experience with Shopify Online Store 2.0.
• Experience creating reusable Shopify sections, blocks, and templates.
• Experience converting Figma designs into responsive Shopify pages.
• Experience with Git and GitHub.
• Experience installing and configuring Shopify apps.
• Experience managing products, collections, pages, blogs, navigation, and website content.
• Working knowledge of ecommerce SEO and on-page optimization.
• Strong understanding of responsive web development.
• Excellent attention to visual detail.
• Strong written communication skills.

• Ability to produce accurate, polished work with minimal supervision.

   

Who You Are

You’re someone who:

• Loves working with Shopify.
• Is reliable, responsive, and dependable.
• Works quickly without sacrificing accuracy.
• Notices UX, content, and visual issues before anyone else.
• Has a strong eye for design, spacing, consistency, and presentation.
• Thinks beyond writing code and considers the full customer experience.
• Understands that premium products require trust-building content and thoughtful presentation.
• Enjoys solving problems independently.
• Is highly organized and communicates clearly.
• Takes ownership of projects from assignment through testing and deployment.
• Tests everything before marking a task complete.
• Can comfortably manage multiple client projects and priorities.
• Collaborates well with designers, marketers, project managers, and clients.
• Is comfortable asking questions when requirements are unclear.
• Looks for ways to improve a page instead of simply completing the requested update.

Bonus Points

Experience with any of the following would be an asset: Shopify Markets, Shopify Flow, Shopify Functions, Checkout UI Extensions, Metafields and metaobjects, Klaviyo, Judge.me, Shopify Search & Discovery, GA4 and Google Tag Manager, Meta Pixel, Schema markup, Core Web Vitals optimization, Accessibility and WCAG standards, Conversion rate optimization, A/B testing platforms, Image and video editing tools, AI coding assistants such as Cursor, GitHub Copilot, or ChatGPT.

Schedule: Remote with required 3–4 hours of daily overlap with 10 AM – 5 PM EST.

Why Join Shop Innovator?

• Work with premium ecommerce brands rather than commodity products.
• Build websites that directly contribute to business growth.
• Be part of a small, experienced, and collaborative team.
• Work on a variety of interesting Shopify projects.
• Develop your knowledge of high-ticket ecommerce, UX, CRO, and customer buying psychology.
• Learn from experienced ecommerce strategists, designers, developers, and marketers.
• Enjoy flexible remote working hours.
• Grow with the agency as we expand.

Ready to build high-converting Shopify experiences with us? Click Apply Now to submit your application!

We're looking for someone to own our external presence across content, media, community, and partnerships — and to build a young brand into an established, trusted name in the industry.

What you'll do

• Own our brand and communications strategy — from the core message to hands-on execution.
• Manage our social media and niche-platform profiles: content planning, writing, publishing, and audience growth.
• Build the brand's presence at industry conferences, events, and networking opportunities.
• Secure placements in relevant media, forums, and industry publications — spotting opportunities, preparing content, and building editor relationships.
• Set up cross-promo, guest content, and joint initiatives with trusted players in the niche.
• Keep the blog and our channels filled with strong content — articles, reviews, visuals (solo or with freelancers).
• Maintain one consistent brand voice and style across all channels.
• Manage the brand's reputation: monitor mentions, handle feedback, protect a positive image.
• Work closely with the management and commercial team to align marketing with business goals; track results and optimize.
  
  What we're looking for
• 2+ years in brand, PR, communications
• Experience in affiliate marketing or traffic-generation infrastructure for verticals like iGaming, nutra, or similar
• Genuinely strong writing — you can turn a product update into a story people share.
• Hands-on media experience: outreach, pitching, getting things published.
• Some track record running or supporting events, conferences, or partner activities.
• Comfortable with Notion, Google Sheets, CRM
• Self-starting: you take an idea and ship it without waiting to be told how.
• English at B2+.

What we offer

• Competitive base salary + performance-based bonuses
• A small, close-knit team with direct communication and no bureaucracy
• Opportunity to build processes from scratch and have real impact on how the business operates
• Opportunity to attend top industry events and conferences worldwide
• Corporate English classes
• Learning & development courses 

Our client: US product company, an athletics management platform used by thousands of schools across the United States: rosters, eligibility, scheduling, officials assignment and payments. A mature product with real scale, now adding AI features to the core workflows.

You will own features end to end, across the stack, in a small team where what you ship reaches production the same week.

Format and time zone

Fully remote from Ukraine. The team is distributed across US time zones, with its core on US Central Time. We ask for a few core overlap hours daily, in practice from around 16:00-17:00 Kyiv time. Everything else is asynchronous and written by default, with a low meeting load.

What you'll do

• Build user-facing features in Node.js/Express and React with TypeScript, from spec to production
• Own the full slice: API design, database schema changes, rollout and the monitoring that follows
• Work AI-first every day: funded frontier models from Anthropic and OpenAI, agentic coding tools, and repo-level convention files so generated code follows the team's patterns. The tools are used hard, the output is reviewed by humans, and PRs say what was generated
• Bring your own practice to the team: custom skills, project conventions, prompts and workflows that make the whole team faster, not just you
• Raise engineering standards through code review, architectural patterns and targeted refactors
• Support what you ship on a light shared on-call rotation

Requirements:

• 5+ years shipping production software as a full-stack engineer
• Strong Node.js with Express (or NestJS) and React, both in TypeScript
• PostgreSQL: schema design, migrations, query optimisation
• Working knowledge of AWS (ECS/Lambda, Secrets Manager, CloudWatch) and CI/CD in GitHub Actions
• Daily, hands-on use of AI coding tools (Claude Code, Cursor, Copilot or similar). Not occasional autocomplete, but agentic workflows, custom skills that encode project conventions, and the judgement to tell genuinely good generated code from code that merely looks plausible
• Comfortable owning a feature alone, from database to UI
• English B2+ 

Nice to have

• Angular, for the parts of the platform built on it
• MCP servers, custom agent skills or other tooling you built around AI-assisted development
• React Native
• Domain experience in scheduling or logistics

We are seeking an experienced Senior Business Analyst to join a data management project within a leading pharmaceutical company.

The role will focus on Master Data Management (MDM), data modeling, and data governance, acting as a business counterpart to MDM and data platform teams. The Business Analyst will help translate business needs into clear data requirements, models, and processes, while supporting the development of downstream data structures and ontologies.

Responsibilities:

• Act as a senior business counterpart for MDM, data platform, and Foundry teams, owning the clarification and translation of business needs into actionable data requirements.
• Lead requirements discovery and analysis related to Master Data Management, including master data domains, attributes, relationships, business rules, hierarchies, and ownership.
• Work closely with business stakeholders and technical teams to define how master data should be structured, governed, and represented across downstream systems and data platforms.
• Support the definition and refinement of conceptual and logical data models, ensuring that business concepts and relationships are accurately represented.
• Facilitate discussions between business and technical stakeholders, proactively resolving ambiguities, inconsistencies, and gaps in data requirements.
• Contribute to the development and evolution of enterprise ontologies, including the definition of business entities, relationships, terminology, and semantic models.
• Support data governance activities, including data definitions, ownership, quality rules, standards, and consistency across systems.
• Analyze existing data structures and processes and recommend improvements to support scalable and consistent enterprise data management.
• Maintain clear documentation covering business requirements, data definitions, models, business rules, decisions, and dependencies.
• Validate proposed data models and delivered solutions with business stakeholders to ensure alignment with business processes and intended use.
• Collaborate closely with distributed stakeholders and teams, including colleagues based in the US.

Requirements:

• 5+ years of experience as a Business Analyst, Data Business Analyst, or similar role within complex enterprise environments, with significant exposure to data-related initiatives.
• Strong practical understanding of Master Data Management principles, including master data domains, golden records, hierarchies, relationships, matching, data ownership, governance, and lifecycle management.
• Experience translating complex business concepts into structured data requirements and data models.
• Good understanding of data modeling principles, including entities, attributes, relationships, reference data, and conceptual/logical data models.
• Experience working closely with MDM, data engineering, data architecture, or enterprise data platform teams.
• Ability to operate as an independent and senior business counterpart to technical teams rather than relying on engineering teams to drive requirements definition.
• Strong stakeholder management and facilitation skills, with the ability to work with both business and technical stakeholders and challenge assumptions when necessary.
• Experience with data governance, data quality, business glossaries, metadata, or data ownership frameworks.
• Familiarity with ontology or semantic data modeling concepts is highly desirable.
• Experience with Reltio or another MDM platform is a strong advantage, but specific Reltio expertise is not required.
• Experience with Palantir Foundry or similar enterprise data platforms is a plus.
• Pharmaceutical, healthcare, or life sciences domain experience is highly desirable.
• Basic understanding of SQL and data querying concepts is beneficial, but hands-on development or data engineering experience is not required.
• Strong analytical and problem-solving skills, with a high level of ownership and the ability to independently structure ambiguous business problems.
• Ability to work effectively in a distributed international environment.
• English: Upper-Intermediate or higher.
   

We offer*:

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

*not applicable for freelancers

What is the purpose of this position?
We are looking for a Senior Data Engineer with strong hands-on experience in the Azure ecosystem to design, build, and maintain scalable data pipelines and infrastructure. You will work closely with other engineers to ensure reliable, high-quality data flows across the organization. Potential clients make many requests, so we want to bring a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:
Design, build, and maintain scalable, reliable ETL/ELT data pipelines for batch and streaming data.

• Architect and optimize data storage solutions (data lakes, data warehouses) on Azure.
• Develop and maintain data models, schemas, and transformation logic to support analytics and reporting.
• Ensure data quality, consistency, and integrity across pipelines through validation, monitoring, and alerting.
• Optimize pipeline performance and troubleshoot bottlenecks in large-scale data processing.
• Implement and maintain CI/CD pipelines for data engineering workflows.
• Collaborate with data scientists, analysts, and backend engineers to understand data requirements and deliver solutions.
• Define and enforce best practices for data governance, security, and access control.
• Mentor junior data engineers and contribute to technical decision-making and architecture reviews.
• Document data architecture, pipelines, and processes for internal knowledge sharing.
   

Requirements:

• Strong hands-on experience as a Data Engineer, including senior-level or lead responsibilities.
• Strong practical experience with the Azure data ecosystem (e.g. Azure Data Factory, Azure Synapse Analytics, Azure Databricks, Azure Data Lake Storage).
• Strong knowledge of SQL and experience with relational and non-relational databases.
• Strong programming experience in Python (or Scala/Java) for data processing and pipeline development.
• Experience designing and building ETL/ELT pipelines for both batch and streaming data (e.g. Spark, Kafka, Azure Event Hubs).
• Solid understanding of data modeling, data warehousing concepts, and dimensional design.
• Experience with infrastructure-as-code and CI/CD tools (e.g. Terraform, ARM/Bicep templates, Azure DevOps, GitHub Actions).
• Experience with data quality, testing, and monitoring practices for data pipelines.
• Strong analytical and problem-solving skills, with the ability to work independently on ambiguous or complex data challenges.
• Strong communication skills, with the ability to collaborate cross-functionally and explain technical concepts to non-technical stakeholders.
   

Nice to Have:

• Azure certifications (e.g. Azure Data Engineer Associate, Azure Solutions Architect).
• Experience with orchestration tools (e.g. Apache Airflow, Azure Data Factory pipelines).
• Experience with data governance and cataloging tools (e.g. Microsoft Purview).
• Familiarity with BI/reporting tools (e.g. Power BI).

• Experience working in a regulated or high-compliance data environment.
   

  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

Are you passionate about building cutting-edge, AI-ready data platforms from the ground up? We are looking for a Senior Data Engineer to join our Data Engineering Team and lead high-impact, greenfield initiatives.

You will work on building modern cloud-native data platforms, migrating on-premises legacy systems to the cloud, and laying the architectural foundation for AI-ready data infrastructure.

In this role, you will collaborate closely with Machine Learning, Data Science, and Product teams, serving as a key technical contributor and thought leader. You will also drive R&D efforts around agentic AI architectures, event-driven systems, and LLM-ready data pipelines — turning architectural concepts into production-grade solutions.

Responsibilities:

• Design and build scalable, cloud-native data platforms from greenfield to production
• Implement near-real-time ingestion pipelines using event-driven patterns
• Define and enforce platform standards, including Data Lake / Lakehouse principles, medallion architecture, and data contracts
• Refactor and optimise existing Spark and PySpark scripts for performance and maintainability
• Introduce best practices for code quality, testing, and CI/CD across data pipelines
• Drive adoption of AI tooling and agentic workflows within the data engineering team
• Ensure data quality, observability, and reliability across all pipelines and platforms

• Develop self-service tooling and microservices to simplify platform usage for other teams

   

Requirements:

• 5+ years of professional experience in Data Engineering
• Strong Python and SQL development skills for pipeline development and optimisation
• Proficiency in Apache Spark / PySpark, including query optimisation and performance tuning
• Hands-on experience with Databricks 
• Experience with at least one major cloud provider: Azure (preferred), AWS, or GCP
• Experience with stream processing technologies (Kafka, Spark Structured Streaming)
• Solid understanding of ETL/ELT patterns, data modelling (dimensional, Data Vault), and data warehousing
• Experience with orchestration tools (Apache Airflow, Azure Data Factory, or equivalent)
• Knowledge of Infrastructure as Code (Terraform or equivalent)
• Understanding of production-grade system requirements: reliability, scalability, observability, and performance

• Upper-Intermediate English level

   

Will be a plus

• Familiarity with RAG pipeline design and LLM integration patterns
• Knowledge of data governance frameworks and tools (Unity Catalog, Apache Atlas, or similar)
• Experience with dbt for data transformation and modelling

• Familiarity with MLflow, Feature Stores, or ML platform integration

   

Personal profile

• Self-driven and proactive in identifying improvements
• Comfortable working in a fast-paced, innovative environment
• Strong problem-solving mindset with attention to detail
• Open to experimenting with emerging technologies and approaches

_____________________________________________________________

Ти захоплюєшся створенням передових, AI-ready дата-платформ з нуля? Ми шукаємо Senior Data Engineer, щоб ти приєднався(-лася) до нашої команди Data Engineering та очолив(-ла) масштабні, інноваційні ініціативи з нуля.

Ти працюватимеш над побудовою сучасних хмарних дата-платформ, міграцією локальних (on-premises) легасі-систем у хмару та створенням архітектурного фундаменту для AI-ready дата-інфраструктури.

У цій ролі ти тісно співпрацюватимеш з командами Machine Learning, Data Science та Product, виступаючи ключовим технічним експертом та лідером думок. Також ти вестимеш R&D-роботи над agentic AI-архітектурами, подієво-орієнтованими системами та LLM-ready дата-пайплайнами — перетворюючи архітектурні концепції на готові до продакшену рішення.

Обовʼязки:

• Проєктувати та створювати масштабовані, хмарні дата-платформи від концепції до продакшену
• Реалізовувати пайплайни для майже реального часу (near-real-time ingestion) з використанням подієво-орієнтованих патернів
• Визначати та впроваджувати стандарти платформи, включно з принципами Data Lake / Lakehouse, медальйонною архітектурою та дата-контрактами
• Рефакторити та оптимізувати наявні скрипти на Spark та PySpark для підвищення продуктивності та зручності підтримки
• Запроваджувати найкращі практики якості коду, тестування та CI/CD для дата-пайплайнів
• Сприяти впровадженню AI-інструментів та agentic-підходів у команді дата-інженерів
• Забезпечувати якість, спостережуваність (observability) та надійність усіх пайплайнів і платформ

• Розробляти self-service інструменти та мікросервіси, що спрощують використання платформи іншими командами

   

Вимоги:

• 5+ років комерційного досвіду в Data Engineering
• Сильні навички розробки на Python та SQL для створення та оптимізації пайплайнів
• Впевнене володіння Apache Spark / PySpark, включно з оптимізацією запитів та налаштуванням продуктивності
• Практичний досвід роботи з Databricks (бажано) 
• Досвід роботи з принаймні одним великим хмарним провайдером: Azure (бажано), AWS або GCP
• Досвід роботи з технологіями потокової обробки даних (Kafka, Spark Structured Streaming)
• Глибоке розуміння ETL/ELT-патернів, моделювання даних (dimensional, Data Vault) та побудови дата-складів
• Досвід роботи з інструментами оркестрації (Apache Airflow, Azure Data Factory або аналогами)
• Знання Infrastructure as Code (Terraform або аналогів)
• Розуміння вимог до продакшен-рішень: надійність, масштабованість, спостережуваність, продуктивність

• Рівень англійської — Upper-Intermediate

   

Буде плюсом:

• Знайомство з проєктуванням RAG-пайплайнів та патернами інтеграції LLM
• Знання фреймворків і інструментів для data governance (Unity Catalog, Apache Atlas або подібних)
• Досвід роботи з dbt для трансформації та моделювання даних

• Знайомство з MLflow, Feature Stores або інтеграцією з ML-платформами

   

Особистий профіль:

• Самомотивованість та проактивність у пошуку покращень
• Комфортна робота у швидкому та інноваційному середовищі
• Сильне аналітичне мислення та увага до деталей
• Відкритість до експериментів з новими технологіями та підходами

Vollna helps freelancers and agencies find relevant Upwork projects, automate proposals, and track their results.

We’re looking for an SDR / Outbound Sales Specialist to manage outreach campaigns, build conversations with prospects, and turn interest into qualified demos and paying customers.

In this role, you will:

• Find and research potential customers, primarily freelancers and agency owners.
• Launch, manage, and improve cold email and LinkedIn outreach campaigns.
• Handle replies, understand prospects’ needs, answer questions, and address objections.
• Qualify prospects and book product demos, sharing relevant context before each call.
• Follow up after demos and during free trials to help prospects take the next step.
• Keep the CRM updated with conversation notes, next steps, and outcomes.
• Track which audiences and messages generate qualified meetings and paid subscriptions.

We’re looking for someone who:

• Has hands-on experience with LinkedIn outreach or cold email, including managing prospect conversations.
• Writes clear, natural English and adapts replies to the conversation.
• Can learn a software product and explain how it fits a customer’s needs.
• Works independently, follows through, and suggests improvements based on results.
• Can share examples of previous campaigns and explain their contribution.

Experience with B2B SaaS, Upwork, or selling to agencies is a plus.

Success in this role means qualified meetings that take place, consistent follow-up, and prospects progressing to paid subscriptions.

Compensation and the working arrangement will be discussed individually.

To apply, send a short introduction and one relevant campaign example: what you sold, who you targeted, what you handled, and the results.

ABOUT VOLLNA

Vollna.com helps freelancers and agencies win clients on Upwork: job filtering, AI proposals, and auto-bidding. 10 years on the market, 3,000+ users. Small team, you'll work directly with the founder.

THE ROLE

You'll own a portfolio of our paying clients: Automation agencies, Agency-plan teams, and established freelancers. Two goals: clients get results and stay, and the right clients move up to Automation. Your bonus is calculated from your portfolio's retention and MRR, so both count.

Upwork is tough right now. Clients who succeed are the ones whose profile, targeting, and proposals are set up right in the first two weeks. Your job is to make that happen.

WHAT YOU'LL DO

- Onboard new Automation clients: review their Upwork profile, tune job filters and AI qualifier settings, and set realistic expectations using our benchmarks.

- Run funnel reviews in the first month. Catch bad targeting, boost turned off, or a weak proposal template early.

- Spot Agency-plan clients who are ready for Automation and walk them through the upgrade.

- Build relationships with high-tier freelancers and agencies in the portfolio: quarterly check-ins, case studies, referrals.

- When a client is at risk, diagnose the problem and fix what's fixable.

- Document recurring problems so they become rules in our automated reports and Profile Audit, and the same fix doesn't need you twice.

- Pass client feedback to the founder and influence what we build next.

COMPENSATION

$700/month base, plus a monthly bonus as a % of your portfolio's MRR, tiered by portfolio churn.

Upgrades you drive raise your portfolio MRR, so expansion pays you the same way retention does. The portfolio is growing and your bonus grows with it. We'll review the tiers together after the first quarter.

On top of that: a one-time bonus for every new client you close from a demo.

Realistic total compensation at solid performance: $1,300-1,600/month and more.

YOU'RE A FIT IF

- You've personally done Upwork lead generation, as a bidding manager, lead-gen specialist, or agency operator, and you have before/after cases with numbers (profile improvements, reply-rate lifts, JSS recoveries).

- You know how connects, boosts, outbid rate, JSS, and proposal view rate work.

- You've used Upwork lead-gen tools. Knowing what annoyed you about them is useful here.

- 2+ years in a client-facing role: customer success, account management, or running lead-gen for clients.

- Fluent English, written and spoken. Our clients are in the US, EU, Pakistan, and India.

THIS IS NOT FOR YOU IF

- You want a fixed salary that doesn't depend on whether clients stay.

- You've done SaaS customer success but never actually worked on Upwork.

- You need tasks handed to you. There's a lot of autonomy here.

What is the purpose of this position?
We are looking for an experienced Automation QA Engineer (SDET) to design, build, and maintain automated testing for our APIs and backend services. You will work closely with developers and QA engineers to ensure the reliability, performance, and quality of our systems. Potential clients make many requests, so we want to engage a new specialist on board and provide fast staffing.

Location: Remote (CET time zone preferably), ready to coordinate with US and EU time zones.

Responsibilities:

• Design, develop, and maintain automated tests for REST APIs and backend services.
• Analyse APIs and independently identify comprehensive test scenarios, including positive, negative, validation, boundary, and edge cases.
• Design and implement BDD-based API test scenarios.
• Develop and maintain API test automation frameworks and tools in Python (e.g. pytest, requests, behave/pytest-bdd, or similar).
• Design, execute, and analyse performance tests for APIs and backend services.
• Investigate functional issues, performance behaviour, and bottlenecks.
• Contribute to integration, regression, and contract testing.
• Integrate automated tests into CI/CD pipelines.
• Collaborate closely with developers and QA engineers and clearly communicate testing findings.
   

Requirements:

• Strong hands-on experience as an Automation QA Engineer / SDET.
• Strong practical experience with REST API and backend/service testing.
• Strong knowledge of Python and experience building test automation frameworks with it.
• Practical experience with Python-based API automation tools/frameworks (e.g. pytest, requests, behave, pytest-bdd) or comparable frameworks.
• Strong BDD and test-design skills, including negative, validation, boundary, and edge-case testing.
• Strong practical performance-testing experience, including test design, metrics analysis, and interpretation of results (e.g. Locust, JMeter, k6, or similar).
• Experience investigating performance bottlenecks in API/backend systems.
• Strong backend integration-testing experience.
• Experience with regression and contract testing.
• Experience integrating automated tests into CI/CD pipelines.
• Strong analytical and communication skills, with the ability to independently understand unfamiliar APIs and adapt based on feedback.
   

Nice to Have: 

• Experience with Elasticsearch or search-related backend services.
• Experience with containerized environments (Docker, Kubernetes).
• Experience with cloud platforms (AWS, GCP, or Azure).

• Familiarity with additional API automation frameworks (e.g. Karate, RestAssured, Postman/Newman).

  
  Hiring process:
  • HR interview
  • Technical interview
  • Client interviews
  • Reference check
  
  We offer:
  • Remote Work Environment. Work from anywhere and be part of a geographically diverse team
  • Stay Ahead of the Curve. Work with cutting-edge technologies
  • Possibility of payment via PE account, Payoneer, or Wise
  • Bonus & Referral system
  • 16 paid vacation days and 10 sick days per year
  • Flexible hours
  • Compensation program for purchasing new laptops
  • Paid professional certifications & educational courses
  • Paid English classes
  • Friendly atmosphere with quarterly team building
  • No bureaucracy
  
  Ready to try your hand? Do not pull the cat’s tail and send your CV without a doubt!

We are looking for a Senior BI Engineer (Looker/LookML) to join our team!

Our client is a US-based company specializing in supporting the HR needs of the US public sector by automating and enhancing HR lifecycle management. With 20+ years of industry experience, they provide solutions for public sector organizations ranging from 100 to 60,000 employees. The project focuses on migrating and enhancing the client reporting infrastructure to the cloud.

Responsibilities:

• Enhance and optimize existing BI reports in Looker, covering solutions of varying complexity.
• Design, build, and maintain robust BI dashboards and reports in Looker based on business requirements.
• Work with existing LookML models, explores, and dashboards to deliver reporting enhancements and new analytical solutions.
• Collaborate closely with the client’s BI and engineering teams to understand existing data structures and ensure consistency across reporting solutions.
• Engage in regular communication with stakeholders to gather requirements, resolve data and reporting challenges, and ensure a clear understanding of business needs.
• Demonstrate a proactive position in identifying potential risks, proposing improvements, and taking initiative to drive tasks to completion.
• Ensure data quality and accuracy across all analytical outputs.
• Provide technical guidance and best practices on Looker and BI development.

Requirements:

• Proven hands-on experience with Looker and LookML, including development, enhancement, and optimization of existing reports and dashboards.
• Strong knowledge of BI concepts, data modeling, ETL, and data warehousing principles.
• Proficiency in SQL and experience working with large data sets.
• Hands-on experience with Git and version control workflows.
• Excellent communication skills and ability to work collaboratively in a cross-functional team environment.
• Proactive attitude and ownership over deliverables.
• English: Intermediate-strong or higher, with a proven ability to articulate professional solutions to a foreign client.

Nice to have:

• Experience migrating on-prem BI solutions to cloud environments.
• Exposure to the public sector or HR solutions is a plus.
• Experience working with Snowflake, with an understanding of its specific features and differences from other database and cloud data warehouse technologies.
• Familiarity with other cloud data warehouses and modern cloud data stacks, such as BigQuery, Redshift, or similar technologies.

We offer*:

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

*not applicable for freelancers

Requirements:
• At least 1 year of experience as a content manager;
• Knowledge of HTML/CSS;
• Ability to work with Google Docs and Google Sheets;
• Experience with text editors, HTML editors, and various admin panels (preferably self-written);
• Understanding how to structure information and work with large volumes of data;
• Ability to perform monotonous work on time and without compromising quality.

Will be plus:
• Knowledge or interest in sport/esport;
• Experience working with freelancers (copywriters, translators).

Responsibilities:
• Publishing text and graphic content through the admin panels;
• Communication with the marketing team, translators, and other departments (product, design, business etc.);
• Data analysis and processing in Google Docs, reporting in Google Sheets.

What are the conditions and bonuses?
☘️An exciting and challenging job in a fast-growing product company, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and other;

🤝🏻Great working atmosphere with passionate experts and leaders, sharing a friendly culture and a success-driven mindset is guaranteed;

📍Beautiful offices in Warsaw, Limassol work remotely or on-site with comfort and enjoy the opportunity to build a network of connections with professionals day by day;

🧑🏻‍💻Laptop & all necessary equipment for work according to the ecosystem standards;

🏖Paid vacations, personal events days, days off;

🫖Paid sick leave;

👨🏻‍⚕️Medical insurance;

💵Referral program enjoy cooperation with your colleagues and get the bonus;

📚Educational support by our L&D team: internal and external trainings and conferences, courses on Udemy;

🧘Sport benefit;

🦄Multiple internal activities: online platform for employees with quests, gamification and presents for collecting bonuses, RedCore talks club for movie and book lovers, board games cozy evenings, special office days dedicated to holidays;

🎳Company events, team buildings.

We are looking for a hands-on Product Manager  who can bridge business needs, user requirements, product strategy, and technical execution.

This role is ideal for someone who enjoys working in a fast-moving startup environment, can quickly understand complex systems and APIs, translate ideas into clear product specifications, and use modern AI tools to accelerate product discovery, prototyping, documentation, and delivery.

The ideal candidate is highly adaptable, technically curious, detail-oriented, and comfortable owning work end-to-end — from gathering requirements and analyzing systems to creating prototypes, supporting development, preparing user documentation, and enabling go-to-market adoption.

Key Responsibilities

1. Product Discovery & Requirements Gathering

• Work closely with customers, stakeholders, business teams, and internal users to understand business needs and pain points.
• Gather, analyze, and document business and functional requirements.
• Convert business requirements into clear, actionable product requirements for engineering and design teams.
• Identify gaps, dependencies, edge cases, assumptions, and potential risks.
• Facilitate requirement discussions and drive alignment between business and technical stakeholders.
• Continuously refine requirements based on feedback, changing priorities, and new information.

2. Product Specifications & Documentation

• Create detailed product specifications, functional specifications, user stories, acceptance criteria, workflows, and feature descriptions.
• Clearly define expected system behavior, business rules, validations, user journeys, and edge cases.
• Maintain accurate and up-to-date product documentation throughout the development lifecycle.
• Ensure requirements are sufficiently detailed for engineering teams to implement without ambiguity.

3. AI-Assisted Prototyping

• Create rapid product prototypes and proof-of-concepts using Claude and other AI-powered tools.
• Use AI tools to transform requirements and concepts into interactive prototypes, workflows, UI concepts, and functional demonstrations.
• Experiment with different AI tools to accelerate product discovery, analysis, documentation, and delivery.
• Continuously explore new AI capabilities and identify opportunities to improve product development processes.

4. System & Technical Analysis

• Perform system analysis to understand existing architecture, workflows, integrations, dependencies, and limitations.
• Analyze existing features and systems to identify improvement opportunities.
• Understand how new features will interact with existing functionality.
• Work closely with developers and technical teams to clarify implementation approaches and resolve functional ambiguities.
• Analyze data flows, business processes, system dependencies, and integration points.

5. API & Integration Analysis

• Review and analyze API documentation, including endpoints, request/response structures, authentication, parameters, error handling, and integration requirements.
• Understand how internal and third-party APIs can support product requirements.
• Identify API limitations, dependencies, and potential integration risks.
• Translate API capabilities into clear product and functional requirements.
• Support engineering teams by providing clear documentation and context around API-related requirements.

6. User Guides & Product Enablement

• Create clear and practical user guides, feature documentation, FAQs, release notes, and internal documentation.
• Translate complex product functionality into easy-to-understand instructions for end users and internal teams.
• Work with support, sales, customer success, and other teams to ensure they understand new functionality.
• Keep documentation aligned with product releases and feature changes.

7. Go-to-Market & Feature Adoption

• Support go-to-market activities for new features and product capabilities.
• Translate product functionality into clear customer-facing value propositions and use cases.
• Work with marketing, sales, customer success, and other teams to support feature launches.
• Help develop feature adoption strategies, onboarding materials, release communications, and enablement content.
• Gather post-launch feedback and identify opportunities to improve adoption and user experience.

8. Agile Product Delivery

• Work closely with engineering, design, QA, and business teams throughout the product lifecycle.
• Participate in sprint planning, refinement, demos, reviews, and other product development activities.
• Clarify requirements during development and help resolve questions quickly.
• Validate completed features against requirements and acceptance criteria.
• Continuously prioritize work based on business value, customer impact, technical dependencies, and company priorities.

Required Skills & Experience

• Experience in Product Management, Business Analysis, Product Analysis, or a similar role.
• Strong ability to gather, analyze, and document business and functional requirements.
• Excellent understanding of software products, web applications, workflows, and system behavior.
• Ability to create detailed product specifications and user stories.
• Strong analytical and problem-solving skills.
• Ability to understand and analyze APIs and technical documentation.
• Experience creating prototypes or proof-of-concepts using modern tools.
• Hands-on experience with AI tools such as Claude, ChatGPT, and other AI-assisted productivity/development tools.
• Strong written and verbal communication skills.
• Ability to communicate effectively with both technical and non-technical stakeholders.
• Strong attention to detail without losing sight of the bigger product/business objective.

Startup Mindset

We are looking for someone who thrives in an environment where priorities can change quickly and roles are not rigidly defined.

You should be someone who:

• Adapts quickly to changing business and product requirements.
• Is comfortable working with ambiguity and figuring things out independently.
• Takes ownership rather than waiting for detailed instructions.
• Is willing to be hands-on across product, analysis, documentation, prototyping, and delivery.
• Learns new technologies and tools quickly.
• Is comfortable switching between strategic thinking and detailed execution.
• Can move quickly while maintaining a high standard of quality.
• Enjoys experimenting with AI and emerging technologies.
• Is proactive about identifying problems and proposing solutions.

• Can operate effectively in a dynamic, high-growth startup environment.

   

What Success Looks Like

In this role, you will be successful if you can take a business problem or product idea and independently move it toward execution by:

Understanding the problem → Gathering requirements → Analyzing the system → Defining the solution → Creating AI-assisted prototypes → Writing detailed specifications → Supporting development → Validating the feature → Creating user documentation → Supporting go-to-market → Driving feature adoption.

Ideal Candidate

The ideal candidate is a product thinker with strong business analysis capabilities and enough technical understanding to work comfortably with engineering teams.

You don't need to be a software developer, but you should be technically curious, comfortable reading API documentation and system flows, capable of understanding how software works, and willing to get hands-on with modern AI tools to accelerate your work.

If you enjoy turning ambiguous ideas into well-defined products and are excited about using AI to work faster and smarter, this role is for you.

Our client is an iGaming Advertising Agency specializing in performance-driven user acquisition for operators worldwide. The company delivers high-quality traffic through its global affiliate network and proprietary in-house traffic sources, working with leading brands across multiple markets.

Recognized by industry awards and certifications, the agency is known for its reliability, transparency, and strong market presence. We are currently looking for a Middle-Senior Affiliate Manager to attract new affiliates, develop relationships with existing partners, and maximize the performance of ongoing campaigns.

📋 Key responsibilities and your contribution:

• Attracting new partners and maintaining relationships with existing ones;
• Developing proposals for partners to improve the effectiveness of collaboration;
• Negotiating and concluding agreements with partners;
• Analyzing and optimizing current campaigns, improving key performance indicators (KPIs);
• Daily traffic monitoring, reporting, and monitoring of target achievement;
• Coordinating with internal departments to support successful campaigns;
• Participating in industry events and conferences to develop the partner network.

📚 Your qualifications:

• 2+ years of experience in Affiliate Management within the iGaming industry.
• Proven experience working with affiliates across different traffic sources (SEO, PPC, Paid Social, ASO, In-app, Email, Push, Native, etc.).
• Strong understanding of affiliate business models, including CPA, RevShare, Hybrid, CPL, Flat Fee, and other commercial agreements.
• Experience analyzing affiliate performance using tracking platforms and analytics tools.
• Strong negotiation, communication, and relationship-building skills.
• Analytical mindset with a data-driven approach to decision-making.
• Experience in product companies or affiliate programs within iGaming will be a strong advantage.
• Hands-on experience working with Tier-1 markets is required.
• An established personal network of partners will be considered a strong advantage.

• English level — B2+

   

📍Your location: EU countries

Benefits:

⭐ Time Off & Recovery: 20 working days of fully paid annual leave, fully paid sick leave, and public holidays off according to company policy.

⭐ Health & Wellness: A flexible Benefits cafeteria that allows you to choose the perks that fit you best, with options including medical support, regular check-ups, mental health services, or gym access.

⭐ Education & Development: Internal and external training, industry events, language courses, and professional service subscriptions.

⭐ Workspace & Tech: All necessary corporate equipment provided, the flexibility to work fully remotely, and premium digital tools to enhance performance (e.g., AI tools, ChatGPT Plus).

⭐ Work Environment & Perks: Holiday bonuses, gifts for special occasions, paid business trips, and team events.