Jobs at Djinni

We are looking for a Senior DevOps Engineer with strong AWS, Terraform, Kubernetes, database, and infrastructure security experience to work with our fintech client.

The engineer should be able to independently own infrastructure projects, make technical decisions, communicate directly with client teams, and support the professional growth of other team members.

This is a hourly contractor role

Responsibilities

• Own infrastructure projects from technical design through implementation and production rollout.
• Design, automate, and maintain AWS infrastructure using Terraform.
• Develop and improve CI/CD pipelines.
• Maintain development, staging, and production environments.
• Operate, upgrade, and troubleshoot Kubernetes clusters, primarily AWS EKS.
• Maintain and troubleshoot database infrastructure, backups, replication, performance, and high-availability configurations.
• Implement infrastructure security best practices, access controls, secrets management, vulnerability monitoring, and security remediation.
• Implement and improve monitoring, logging, alerting, and observability.
• Participate in production incident response, root cause analysis, and preventive improvements.
• Review infrastructure changes and provide technical guidance to other engineers.
• Create and maintain clear technical and operational documentation.
• Communicate infrastructure changes, risks, incidents, and recommendations to client teams.

Requirements

• 7+ years of professional experience in DevOps, SRE, Platform Engineering, or a similar role.
• Strong hands-on experience with production AWS environments.
• Strong experience with Terraform and infrastructure-as-code practices.
• Production experience with Docker and Kubernetes.
• Experience managing and troubleshooting AWS EKS clusters.
• Experience building and maintaining CI/CD pipelines using GitHub Actions, Jenkins
• Strong Linux administration and troubleshooting skills.
• Scripting experience with Bash or Python.
• Practical experience with relational and NoSQL databases, including services such as PostgreSQL, MySQL, RDS, Aurora, MongoDB, or Redis.
• Understanding of database backups, replication, failover, migrations, performance monitoring, and high availability.
• Strong understanding of infrastructure and cloud security principles.
• Experience with AWS IAM, secrets management, encryption, network security, vulnerability remediation, and least-privilege access.
• Experience with monitoring and observability tools such as Prometheus, Grafana, CloudWatch, OpenTelemetry, or similar.
• Strong networking knowledge, including VPC, DNS, HTTP/HTTPS, SSL/TLS, TCP/IP, load balancers, firewalls, and VPNs.
• Experience with Git-based development and infrastructure change workflows.
• Understanding of SDLC, release management, incident management, and production change management.
• Ability to independently plan, own, and deliver technical projects.
• Experience reviewing work, mentoring engineers, and helping other team members grow.
• Written and verbal English communication skills, as the role involves regular collaboration with development teams.

Nice to Have

• AWS certifications such as AWS Certified Solutions Architect, DevOps Engineer, or Security Specialty.
• Kubernetes certifications such as CKA, CKAD, or CKS.
• Terraform Associate certification.
• Experience working in fintech or other regulated environments.
• Knowledge of PCI DSS, SOC 2, ISO 27001, GDPR, or similar security and compliance frameworks.
• Experience with Terragrunt and multi-account or multi-region AWS environments.
• Experience with AWS security services such as GuardDuty, Security Hub, WAF, Inspector, Config, and CloudTrail.

• Experience leading infrastructure migrations, disaster recovery, high-availability, or cost-optimisation projects.

   

Engagement

• Full-time contractor.
• Long-term engagement.
• Remote work.
• Direct collaboration with the client’s engineering teams.

Senior Data Modelling Analyst

Designs and maintains the data models that underpin analytics and BI reporting, working closely with business stakeholders and data engineers to make sure data structures accurately represent business processes and support reliable, consistent reporting.

Key Responsibilities:

• Design conceptual, logical, and physical data models to support analytics and BI reporting
• Translate business requirements into scalable, well-documented data models
• Define and maintain dimensional models (star/snowflake schemas) for data warehouses
• Partner with data engineers to ensure models are implemented correctly in production
• Maintain data dictionaries, model documentation, and naming standards
• Review and validate data models for consistency, performance, and scalability
• Support ad hoc data analysis and modeling requests from business stakeholders

Requirements:

• 5+ years of experience in data modeling (conceptual, logical, physical)
• Strong expertise in dimensional modeling (star/snowflake schemas) for data warehouses
• Experience translating business requirements into data model design
• Proficiency in SQL and data modeling tools (e.g., ERwin, dbt, Lucidchart)
• Strong understanding of data warehousing concepts and BI/reporting needs
• Strong communication skills to work across business and engineering teams
• Experience maintaining data dictionaries and documentation standards

Nice to Have:

• Experience with a modern cloud data warehouse (Snowflake, Redshift, Synapse, BigQuery)
• Familiarity with BI tools (Power BI, Tableau, Looker)
• Background working in a consulting or client-facing environment

We're looking for a Computer Vision Engineer to build visual intelligence features for a product that runs across connected devices and mobile apps.

This is a hands-on engineering role, not a research one: you'll take CV models from training to production, with a strong focus on making them run fast on resource-constrained devices.

What you'll do:

• Design, train, and deploy CV models - object detection, classification, segmentation, visual analysis;
• Optimize models for edge and mobile inference (quantization, pruning, distillation);
• Build data pipelines for image and video processing, including annotation and dataset versioning;
• Set up monitoring and retraining workflows for models in production;
• Work with backend and mobile teams to integrate model outputs into user-facing features.

Requirements:

• 3+ years in applied computer vision or ML with a strong CV focus;
• Solid deep learning background: CNNs, detection and segmentation architectures (YOLO, Faster R-CNN, U-Net), vision transformers;
• Python, PyTorch or TensorFlow, OpenCV;
• Experience deploying and maintaining CV models in production;
• Hands-on with on-device inference: ONNX, TensorRT, TensorFlow Lite, Core ML, or OpenVINO;
• Cloud platforms (GCP, AWS, or Azure) and container-based deployments;
• English: Intermediate or higher.

Nice to have:

• MLOps tools (MLflow, Airflow, Vertex AI);
• Real-time video processing at scale (FFmpeg, GStreamer, Kafka);
• Edge AI or mobile ML experience.

Streamline develops an AI-powered supply chain planning platform used by more than 2,000 companies worldwide. It is a mature product with complex planning logic, AI capabilities and many technical challenges where better solutions can still be found.

We are looking for a Trainee Manual QA Engineer to join our team and help maintain the high quality of our web product.

💡 Strong analytical thinking and the ability to solve complex problems are important to us. If you have participated in mathematics olympiads, programming competitions or similar contests, be sure to tell us—this experience may be a significant advantage.

 

What we expect:

• English at the B1 level or higher.
• Basic understanding of version control systems, particularly Git.
• Knowledge of HTTP request methods and status codes, including how they work in web applications.
• Practical experience with browser developer tools, particularly Chrome DevTools.
• Strong understanding of the software development life cycle (SDLC).
• Experience testing APIs with Postman, Insomnia or similar tools.
• A completed technical degree in Computer Science, Engineering, Mathematics or a related field is required.

It will be a plus if you have:

• Experience with test management tools such as TestRail or Qase.
• Knowledge of project management platforms such as Jira, Trello or Rally.
• Knowledge of test design techniques and the ability to apply them effectively.
• Strong communication and problem-solving skills.

What you will do:

• Thoroughly test new functionality during development to ensure high product quality.
• Identify, document and verify defects, and monitor their timely resolution.
• Participate in smoke and regression testing to verify the stability and integrity of the system.
• Create and review test documentation, including checklists, test cases and acceptance criteria.
• Test APIs using Postman, validate requests and responses, and ensure the backend works as expected.
• Gather and analyse requirements for new and existing functionality, contribute to the knowledge base and deepen your understanding of the product.

What we offer:

• Medical insurance.
• A comfortable office at the Leonardo Business Centre in central Kyiv.
• A supportive team and collaborative working environment.
• Professional and career development opportunities.
• Access to AI tools that help you work faster and more effectively.
• An opportunity to contribute to a product that continues to grow and evolve.
• Free lunches, corporate events and team activities.

📍 Working format: Candidates based in Kyiv are expected to work from our Kyiv office during the probationary period. After successful onboarding, a hybrid or remote working format may be available.

We are seeking a dedicated and passionate Support manager to join our dynamic team. As a Support manager, you will be the face of our company, interacting with our customers and providing them with the best possible experience.

We offer flexible working hours in order to promote a healthy balance between work and personal life.

These hours include

• a day shift from 14:00 to 22:00(1−2 times per week),
• a night shift from 22:00 to 06:00(2+ times per week).

What you’ll do

• Respond to customer inquiries and concerns via email, phone, or chat in a timely and professional manner
• Understand and resolve customer issues and complaints
• Provide product and service information to customers
• Coordinate with other teams to ensure timely resolution of customer issues
• Identify and escalate complex issues to the appropriate team members
• Build new and upgrade established channels, means and processes to improve the customer journey
• Up-sell company products in collaboration with sales teams to ensure growth attainment

What we expect from you

• Advanced English (excellent written and verbal communication skills B2,C1)
• Strong problem-solving skills and the ability to think critically
• Ability to multitask and prioritize tasks effectively
• Strong customer service skills and a passion for helping others
• A fast learner with that remains calm and professional under pressure
• Experience in a customer-facing role is preferred, but not required
• Proficiency in basic computer skills and software
• Flexibility to work non-standard hours, including night shifts, weekends and holidays

Designs and maintains the data models that underpin analytics and BI reporting, working closely with business stakeholders and data engineers to make sure data structures accurately represent business processes and support reliable, consistent reporting.

Key Responsibilities:

• Design conceptual, logical, and physical data models to support analytics and BI reporting
• Translate business requirements into scalable, well-documented data models
• Define and maintain dimensional models (star/snowflake schemas) for data warehouses
• Partner with data engineers to ensure models are implemented correctly in production
• Maintain data dictionaries, model documentation, and naming standards
• Review and validate data models for consistency, performance, and scalability
• Support ad hoc data analysis and modeling requests from business stakeholders

Requirements:

• 5+ years of experience in data modeling (conceptual, logical, physical)
• Strong expertise in dimensional modeling (star/snowflake schemas) for data warehouses
• Experience translating business requirements into data model design
• Proficiency in SQL and data modeling tools (e.g., ERwin, dbt, Lucidchart)
• Strong understanding of data warehousing concepts and BI/reporting needs
• Strong communication skills to work across business and engineering teams
• Experience maintaining data dictionaries and documentation standards

Nice to Have:

• Experience with a modern cloud data warehouse (Snowflake, Redshift, Synapse, BigQuery)
• Familiarity with BI tools (Power BI, Tableau, Looker)
• Background working in a consulting or client-facing environment

Наш клієнт, Jugabet, бренд і гральна платформа, доступна гравцям у Латинській Америці. Завдяки сильній регіональній присутності та локалізованим стратегіям, Jugabet швидко стає ключовим гравцем на ринку.

Ідеально для тих, хто прагне:

• Брати участь в інтеграційних проектах з провайдерами платіжних послуг (PSP) та платіжними платформами (назви шлюзів/методів, обов'язкові поля, валідація, ліміти, інфоблоки cashier);
• Працювати з онлайн-платежами, потоками платежів та життєвими циклами транзакцій на різних ринках;
• Налаштовувати та вдосконалювати UX cashier: платіжні кнопки, інструкції, попередньо визначені суми;
• Контролювати щоденні платіжні операції: моніторинг транзакцій, каси, баланс та конверсії/звіти про помилки, узгодження транзакцій та P2P, моніторинг обсягу PSP;
• Аналізувати ефективність платежів, маршрутизацію та ключові операційні показники для постійного покращення успішності транзакцій та обслуговування клієнтів;
• Тісно співпрацювати з постачальниками та внутрішніми командами (продукт, бізнес, support);
• Підтримувати стабільність платіжних операцій у швидкозмінному середовищі на різних регіонах;
• Брати відповідальність за операційні вдосконалення та якість обслуговування клієнтів, проактивно виявляти та впроваджувати оптимізації.

Досвід, який стане твоєю перевагою:

• 2+ роки роботи Payment менеджером/спеціалістом, PSP або на аналогічній посаді в онлайн-платежах;
• Практичне розуміння флоу онлайн-платежів, PSP, технічної інтеграції, потоків платежів та життєвих циклів транзакцій;
• Досвід роботи з Microsoft Excel та Tableau (інформаційні панелі, звіти моніторингу);
• Досвід спілкування з міжнародними партнерами та постачальниками платіжних послуг, як усно, так і письмово;
• Робота з фінансовими та транзакційними даними, включаючи бюджетування, оптимізацію комісій/витрат;
• Рівень англійської мови Upper-Intermediate (деякі внутрішні команди спілкуються лише англійською мовою);
• Досвід роботи в iGaming буде перевагою.

Ми цінуємо:

• Хороші комунікативні навички;
• Наполегливість, навички вирішення проблем;
• Відповідальність, увага до деталей.

Наші клієнти пропонують конкурентні переваги для підтримки вашого професійного та особистого зростання, зокрема:

• Орієнтація на здоров’я та добробут;
• Глобальне медичне страхування;
• Можливості для зростання;
• Програми бенефітів (компенсація спорту / стоматології / психолога тощо);
• Бонуси за досягнення результатів;
• Динамічне робоче середовище.

English version:

Our client, Jugabet, is a brand and gaming platform accessible to players in Latin America. With a strong regional focus and localized strategies, Jugabet is quickly becoming a key player in the market.

Perfect for those who aim to:

• Participate in integration projects with PSPs and payment platforms (gateway/method naming, required fields, validation, limits, cashier infoblocks);
• Work with online payments, payment flows, and transaction lifecycles across multiple markets;
• Set up and improve cashier UX: payment buttons, instructions, pre-defined amounts;
• Oversee day-to-day payment operations: transaction, cashier, balance, and conversion/error-report monitoring, transaction and P2P reconciliation, PSP volume monitoring;
• Analyze payment performance, routing, and key operational metrics to continuously improve transaction success and customer experience;
• Collaborate closely with providers and internal teams (product, business, support);
• Maintain the stability of payment operations in a fast-changing, multi-geo environment;
• Take full ownership of operational improvements and payment experience quality, proactively identifying and driving optimizations.

Experience you’ll need to bring:

• 2+ years as a Payments manager/specialist, PSP or a similar role in online payments;
• Strong, hands-on understanding of online payment systems, PSPs, technical integrations, payment flows, and transaction lifecycles;
• Confidence working with financial and transactional data, including budgeting, settlement calculations, and commission/cost optimization;
• Experience in Microsoft Excel and Tableau (dashboards, monitoring reports);
• Experience communicating with international partners and payment service providers, both verbally and in writing;
• Upper-Intermediate level of English (some internal team members communicate only in English);
• Experience in iGaming will be an advantage.

It's a perfect match if you have those personal features:

• Good communication skills;
• Persistence, problem-solving skills;
• Responsibility, attention to detail. 

Our clients offer competitive benefits to support your professional and personal growth, including: 

• Health & Wellness Focus;
• Global Medical Coverage;
• Growth Opportunities;
• Benefits Programs (compensation for the gym/stomatology/psychological service & etc.);
• Performance-Driven Rewards;
• Dynamic Work Environment.

Readdle is a pioneering force in the personal productivity space on Apple devices, having shaped the landscape since 2007. Our mission is to empower individuals and teams with innovative technology, enhancing their efficiency and creativity. We are dedicated to crafting exceptional mobile and desktop experiences for those who aspire to achieve more.
 

As a Senior Growth Analyst at Readdle, you’ll own the numbers behind how Spark grows. From the first ad impression to long-term renewals, you’ll make sense of the data, design event structures, and ensure everything is measurable. You’ll dig into funnels, uncover insights, and build dashboards that make growth performance crystal clear for product and marketing teams.

What will you do:

• Transform and analyze large datasets in BigQuery and Amplitude to uncover trends, anomalies, and actionable insights across the user journey.
• Build and maintain self-serve dashboards in Tableau and Google Sheets that reduce ad-hoc reporting requests and establish a clear source-of-truth for growth metrics.
• Define, document, and QA event structures for new features, campaigns, and experiments; build a robust monetization measurement system to support pricing and migration decisions.
• Analyze user funnels across ads, store, onboarding, in-app usage, purchases, and cancellations to identify drop-offs and growth opportunities.
• Design and monitor A/B experiments and feature launches; validate results and ensure long-term impact tracking.
• Proactively surface insights, hypotheses, and growth opportunities to marketing and product teams; shape quarterly prioritization with impact scenarios to influence roadmap decisions.
• Build forecasting and scenario models for installs, conversions, retention, and revenue.
• Ensure data integrity across tools and pipelines through established QA processes; work with Appsflyer to track attribution and optimize acquisition reporting.

About you:

• 5+ years in growth, product, or marketing analytics in a B2C or SaaS environment, with experience supporting pricing, monetization, or migration initiatives in subscription-based products.
• Strong SQL skills and experience with BigQuery or similar cloud data warehouses (Redshift, Snowflake); proficiency in Tableau and/or Amplitude for dashboards and complex data visualization.
• Experience with Appsflyer or other attribution platforms; familiarity with Python for data analysis and automation is a strong plus.
• Solid understanding of product analytics (funnels, cohorts, retention, event tracking), statistics, A/B testing, and concepts like segmentation, churn, or LTV modeling.
• Proven ability to design self-serve dashboards and act as a strategic thought partner to PM/PMM teams, not just an executor of analytics requests.
• Comfortable working cross-functionally with product, marketing, and engineering teams with a proactive, curious, and coachable mindset.

What you will get at Readdle:

• Customer-centric culture. We put our users at the heart of everything we do. Every team member has the opportunity to engage directly with customers, gaining insights that shape meaningful, delightful experiences for millions worldwide.
• Relentless growth. We’re committed to mastery in our craft. We take ownership of our work, decisions, and outcomes, and we see feedback as a catalyst for growth. Every challenge is an opportunity to learn, evolve, and raise the bar.
• Exceptional people, exceptional team. Our greatest strength is our people. We care deeply about each other, work transparently, and celebrate collective success. Together, we build an environment where everyone can do their best work and grow beyond their potential.
• Real impact. We design products that truly matter. Our focus is on delivering tangible value, simplifying complexity, pushing boundaries, and continuously improving how we build and deliver solutions to our users.
• Culture of innovation. We embrace curiosity and creativity in everything we do. Fresh ideas are not just welcomed, they’re expected, celebrated, and turned into real innovations that shape the future of our products and company.

A second hands-on senior engineering role alongside Senior Data Engineer #1, building and maintaining production data pipelines on one cloud platform — typically covering a different workstream or cloud stack within the same data engineering team.

Key Responsibilities:

• Design, build, and maintain scalable ETL/ELT pipelines on AWS or Azure
• Optimize pipeline performance, reliability, and cost-efficiency
• Implement data-quality checks, monitoring, and alerting for production pipelines
• Collaborate with the Data Engineering Lead and Architect on pipeline design and standards
• Support data modeling and schema design together with the Data Modelling Analyst
• Troubleshoot and resolve data pipeline issues in production
• Participate in code reviews and contribute to engineering best practices

Requirements:

• 5+ years of hands-on data engineering experience
• Deep expertise in one cloud platform: AWS (Glue, S3, Redshift, EMR, Lambda, Kinesis) or Azure (Data Factory, Synapse, ADLS, Databricks)
• Strong SQL and Python (or Scala) skills; experience with orchestration tools (Airflow, ADF, etc.)
• Experience with ETL/ELT design, data-quality checks, and performance optimization
• Familiarity with distributed data processing frameworks (Spark)
• Experience operating production data pipelines at scale
• Solid understanding of data warehousing and dimensional modeling concepts

Nice to Have:

• Familiarity with CI/CD and infrastructure-as-code (Terraform)
• Experience with streaming data pipelines (Kafka, Kinesis, Event Hubs)
• Exposure to dbt or similar transformation tooling

This position is open only to candidates currently based in Canada, who have valid authorization to work in Canada. Candidates based in Toronto are highly preferred.

About the Role

We are hiring a Senior Product Manager to own the front half of the delivery process: to make sure work starts with a business goal and a validated problem, not with a design, and that by the time something reaches engineering it is shaped, sequenced, and feasible.

Project

FinTech product built for the restaurant and hospitality space. We integrate with POS and scheduling systems and sit on top of the money flows those systems generate.

We grew fast in startup mode, and it worked as we have a live product, real customers, and real revenue. What we don't yet have is a delivery process that matches the size of what we're building. 

Required Hard Skills

• 5+ years in product management, including at least one product with real technical complexity behind it.
• Prior FinTech experience (payments, payouts, reconciliation, lending, banking, or embedded finance), or direct restaurant/hospitality tech experience (POS, scheduling, workforce management, delivery platforms).
• Demonstrable experience introducing or substantially reshaping a delivery process in a company that had outgrown ad-hoc ways of working. We will ask you to walk us through exactly what you changed, what resistance you hit, and what it measurably improved.
• Strong requirements practice: you can write and review PRDs, user stories, acceptance criteria, and flow documentation, and you know when to hand that off versus do it yourself.
• Experience working with third-party APIs or platform integrations, including the messy parts: partner limitations, versioning, data reconciliation, error handling, validation layer.
• Strong BA skills to act as an owner of the product requirements, including describing and maintaining the product backlog
• Strong product toolkit. We value strong processes over proficiency with any specific tool, but expect broad hands-on experience across modern product and AI tools, with the ability to select and adapt the right toolkit for the job. 

• Fluent English, written and spoken.

   

Required Soft Skills

• Comfort working alongside engineers on architecture and technical debt conversations with enough depth to understand the trade-offs, ask sharp questions, and be trusted in the room.

• Ability to hold a position with a founder-CEO. You'll be asked to change how initiatives currently start, which means disagreeing productively and often.

   

Nice to Have

• Hands-on familiarity with specific POS or scheduling platforms (Toast, Square, Lightspeed, 7shifts, Deputy, or similar).
• Experience with a product that had to earn back reliability and trust after a fast-growth phase.
• Track record building product analytics from a low baseline with instrumentation, funnels, defining the metrics that matter.
• Comfort with BPMN or similar process modeling.
• Multi-tenant SaaS or B2B2C experience.

Key Responsibilities

1. Shape the delivery process end-to-end: 

- Introduce and implement a discovery-to-delivery flow

- Establish where design, engineering, and BA input enter the process, and make technical feasibility a first-class input.

- Define the artifacts and quality bar for each stage of the delivery process.

2. Get the backlog shaped: 

- Break large ambiguous initiatives into slices that can be estimated, built, and released independently.

- Own the roadmap and its sequencing, and keep it honest about capacity and dependencies.

3. Balance new value against the debt

- Build a shared, evidence-based view of where technical debt is costing us delivery speed, reliability, or the ability to ship what's next.

4. Own the integration and domain surface

- Own the product side of our POS and scheduling integrations

- Translate FinTech constraints such as payments, reconciliation, settlement, data handling, compliance into requirements engineering can build against.

- Bring the operational reality of restaurants into product decisions: shift patterns, staff turnover, tips and payouts, peak-hour behavior, tax background, low tolerance for anything that slows down service.

Who this position is not for
This is a build-the-process role, not a run-the-process role. If you need an established framework to operate inside, this will frustrate you. If you've stabilized delivery in a company that outgrew its early habits, you'll recognize the work immediately.

Things you should know before applying:

• The process is genuinely not there yet. You are building it, largely alone, while shipping.
• There is real technical debt. Some of what you want to do will be slower than it should be, and part of your job is making that visible and getting it funded.
• Initiatives currently start closer to solution than problem, and changing that means changing habits at the top of the company. We know this and we're hiring for it - but it will take persistence.

Recruitment Process

• Introductory Call (45 min).
• HR Interview (1 hr).
• Technical Interview (1 hr).

• Founder/Client meeting.

   

We are looking for people who are motivated to learn, take ownership, and grow together with us.

Sound like the right fit? Apply now - let's talk!

Leads a team of data engineers delivering pipelines and platform components across AWS and Azure, balancing hands-on technical work with people leadership. Partners with the Data Architect and business stakeholders to keep the team's roadmap aligned with platform architecture and delivery priorities.

Key Responsibilities:

• Lead and mentor a team of data engineers delivering pipelines across AWS and Azure
• Own technical design and implementation decisions for data pipeline architecture
• Establish and enforce engineering best practices: code quality, testing, CI/CD, documentation
• Plan and prioritize the team's roadmap in collaboration with architecture and business stakeholders
• Troubleshoot and resolve complex data pipeline and platform issues
• Drive adoption of orchestration, monitoring, and data-quality tooling
• Partner with the Data Architect to keep delivered pipelines aligned with platform architecture

Requirements:

• 7+ years of data engineering experience, including 2+ years in a technical leadership role
• Hands-on expertise with both AWS (Glue, EMR, Redshift, Lambda, Kinesis) and Azure (Data Factory, Synapse, Databricks)
• Strong background in pipeline architecture, orchestration (Airflow/ADF), and CI/CD for data
• Experience mentoring engineers and setting technical best practices across a team
• Solid SQL and Python/Scala skills, with experience in distributed data processing (Spark)
• Experience with data quality, testing, and monitoring frameworks
• Strong communication and planning skills; comfortable working directly with stakeholders

Nice to Have:

• Experience with dbt or similar transformation frameworks
• Familiarity with infrastructure-as-code (Terraform, CloudFormation, Bicep)
• Prior experience in a consulting or client-facing delivery environment

We are looking for an Account Manager to build and develop long-term relationships with mid-size and growing client accounts and contribute to revenue growth.

Responsibilities:

• Build and maintain strong, long-term relationships with assigned clients.
• Identify client needs and support upsell and cross-sell initiatives.
• Ensure smooth service delivery in close cooperation with engineering teams.
• Monitor account health, client satisfaction, and operational performance.
• Proactively identify risks and escalate them when necessary.
• Conduct regular check-ins and performance review meetings with clients.
• Support commercial discussions and contract renewal processes.
• Contribute to revenue growth through account development initiatives.
• Identify client needs and support upsell and cross-sell initiatives.

Requirements:

• 2+ years of experience in Account Management IT industry (preferrably outsource).
• Proven experience in managing commercial conversations and supporting upsell initiatives.
• Strong communication and relationship-building skills.
• Ability to understand client business needs and translate them into clear, actionable requests for delivery teams.
• Experience working with cross-functional teams (delivery, finance, recruitment).
• Strong problem-solving skills and a client-oriented mindset.
• English level: Upper-Intermediate or higher.
  
  What you’ll get:
• Flat hierarchies and short decision paths, openness to new ideas.
• Flexible working schedule.
• Reimbursement for professional certification.
• Annual paid vacation — 18 working days.
• Paid sick leave — 10 working days.
• English classes.
• IT club card — applicable to the Lviv region.
• Sport classes compensation.
• Comfortable office locations or remote work.
   

Hiring Process:

• HR Interview
• Test task
• Interview with AM Team Lead
• Interview with Head of Delivery

We are looking for a trainee who is obsessed with the intersection of Design and Technology. We need a self-motivated person who wants to redefine the design process by using AI to build high-utility interfaces for internal automations, custom software, and complex business tools.

You shouldn't fear that AI will take your job; you should be the one who uses AI to do the work of three people. You will learn to design not just "pretty screens," but functional systems that solve real business problems in finance, HR, and operations.

We do not expect you to know all of that from day one, but you will learn a lot. Expect to contribute to real company needs from the first month. You will work closely with an experienced UX/UI designer. One of your goals will be to help offload part of her workload, so she is interested in transferring a lot of knowledge to you.

Your Design & AI Stack

— AI-Native Workflow: Integrating Claude, Stitch and other similar tools for rapid ideation and asset generation.
— Technical Context: You will use Claude Code and Storybook to understand and tweak the front-end (HTML/CSS logic) so your designs are developer-ready.
— Figma: Our secondary canvas for style exploration.

Requirements for the candidateMust have

— AI-Native Mindset. You already use AI in your daily life and are eager to master "Prompt Engineering" for design.
— Technical Savvy. You understand the logic of web interfaces (DOM, styles, components). You know that a design is only good if it can be built.
— Design Fundamentals. A strong eye for typography, grids, hierarchy, and whitespace. You can distinguish between a "hallucinated" AI layout and a functional UI.
— High Research Ability. You can "Google" or "Prompt" your way out of any technical roadblock.
— English. You are comfortable watching a 20-minute technical tutorial in English and applying the knowledge immediately.

Will be a plus

— Experience with Claude Code, Stitch, or Cursor.
— Basic knowledge of CSS/HTML or how components work in React/Tailwind.

We are looking for a long-term partner, not just a temporary intern.

We value people who are smart, clever, and love what they do. If you are ready to learn faster than everyone else, we want to meet you.
 

AI Delivery Engineer  —  Agent Tooling & Code Generation

Builds and ships production-grade AI agent tooling and code-generation solutions, working closely with engineering and product teams to embed AI agents into the delivery lifecycle — from prototyping through reliable, monitored production rollout.

Key Responsibilities:

• Design, build, and maintain AI agent tooling that automates engineering and business workflows
• Develop and refine code-generation pipelines and developer copilots
• Integrate LLM APIs and agent-orchestration frameworks into production systems
• Build and maintain RAG pipelines, vector stores, and prompt-engineering workflows
• Identify high-value automation opportunities together with engineering and product teams
• Monitor, evaluate, and improve agent performance, reliability, and safety in production
• Document tooling and support internal teams adopting AI agents

Requirements:

• 4+ years of software engineering experience, with recent focus on applied AI/LLM systems
• Hands-on experience building LLM-based agents or agent-orchestration frameworks (e.g., LangChain, LangGraph, AutoGen, or custom pipelines)
• Experience with code-generation tooling, developer copilots, or AI-assisted development workflows
• Strong Python skills (TypeScript/JS a plus) for building agent tooling and integrations
• Experience with LLM APIs (OpenAI, Anthropic, etc.), RAG pipelines, and vector databases
• Proven ability to take AI prototypes from concept to reliable, production-grade delivery
• Understanding of prompt engineering, evaluation, and guardrails for LLM-based systems

Nice to Have:

• Experience deploying agentic frameworks in enterprise settings
• Familiarity with MLOps/LLMOps practices
• Contributions to open-source AI tooling

SBC Performance drives scalable growth for brands ready to expand globally.

Working across eCommerce, health & wellness, education, and entertainment, our team helps brands acquire customers faster and scale across 26+ global markets. We combine data-driven paid media, performance creative, and advanced analytics to turn marketing into a predictable revenue engine.
Trusted by 200+ companies, managing $150M+ in ad spend.
 

Scale faster. Grow smarter.
 

We are currently looking for a Product Marketing Manager (Funnels & Email Automation) who will own the development and optimization of web funnels and lifecycle communication. This role focuses on improving conversion rates, scaling experimentation, and building high-performing growth systems for our digital products across international markets.
 

Key Responsibilities

• Own and optimize end-to-end web funnels (quiz → onboarding → paywall → activation).
• Analyze user behavior and identify conversion bottlenecks across the funnel.
• Design and run A/B tests and growth experiments to improve key funnel metrics.
• Launch and scale multiple funnel experiments weekly across different markets.
• Build and optimize lifecycle email flows including onboarding, activation, retention, and reactivation.
• Work with product analytics tools to track performance and identify growth opportunities.
• Collaborate closely with product, engineering, design, performance marketing, and creative teams.
• Ensure strong alignment between ad messaging, landing pages, and product experience.
• Conduct user and market research to better understand user motivations and behavior.
• Monitor and report on key performance metrics such as CPA, conversion rate (CR), and predicted lifetime value (pLTV).
   

Requirements

• 3+ years of experience in Product Marketing, Growth Marketing, Lifecycle Marketing, or similar B2C roles.
• Proven experience building and optimizing web funnels for digital products.
• Demonstrated success improving conversion metrics through experimentation and A/B testing.
• Strong analytical mindset and ability to work with funnel metrics and user behavior data.
• Hands-on experience with email marketing and lifecycle automation (flows, segmentation, triggers).
• Experience with product analytics tools such as Google Analytics, Looker Studio, Amplitude, PostHog, or similar platforms.
• Good understanding of payment infrastructure and web funnel setups.
• Strong collaboration skills and ability to work in cross-functional teams.
• Upper-Intermediate English or higher.
   

Nice to Have

• Experience working with international markets (US, EU, UK, LATAM).
• Background in companies with a strong performance marketing culture.
• Experience with subscription-based digital products.
• Familiarity with EdTech, AI-driven products, or lifestyle apps.
   

What We Offer

• Remote work
• Competitive compensation
• Flexible working hours (start between 9:00–11:00 CET)
• All necessary equipment
• Paid vacation and sick leave
• Educational support (certifications, courses, and training reimbursement)
• Company events and internal knowledge-sharing initiatives
• Transparent communication and an open feedback culture.