Jobs at Djinni

We are seeking a Product Analytics Lead to own and elevate our data-driven decision-making process through behavioral analytics, hypothesis testing, and user insights. In this role, you will build robust analytics frameworks, set the standard for evaluating new feature launches and A/B tests, and work closely with Product Managers, Data Science, and Analytics teams. Beyond technical leadership, you will mentor analysts and foster a strong data-driven culture across the company.

Responsibilities

• Lead the product analytics function and drive data-informed product decision-making across the organization.
• Build and continuously improve the product analytics framework, including methodologies, standards, and best practices.
• Partner closely with Product Managers, Data Science, and Analytics teams to identify opportunities, validate hypotheses, and support product strategy.
• Design, evaluate, and interpret A/B tests, experiments, and product releases, ensuring statistically sound conclusions and actionable recommendations.
• Define and monitor key product metrics, including funnels, retention, cohorts, LTV, conversion, and user behavior metrics.
• Translate complex datasets and analytical findings into clear business insights and product recommendations.
• Proactively identify trends, root causes, growth opportunities, and potential product risks.
• Challenge assumptions and help teams make better decisions through structured analytical thinking.
• Mentor and develop Product Analysts, strengthening analytical expertise and raising the overall quality of analytics within the team.

• Promote a strong data-driven culture and ensure analytics is embedded into the product development lifecycle.

   

Requirements

• 2+ years of experience in a Product Analytics Lead, Lead Product Analyst, or similar leadership role.
• Strong / Advanced SQL skills, including complex queries, query optimization, and data modelling.
• Strong knowledge of mathematical statistics, including hypothesis testing, confidence intervals, sample-size calculation, and statistical significance.
• Hands-on experience designing, running, and evaluating A/B tests and product experiments.
• Strong experience evaluating product launches and incremental releases.
• Deep understanding of product analytics and key metrics, including funnels, retention, cohort analysis, LTV, conversion, and behavioral metrics.
• Hands-on experience with BI and visualization tools such as Tableau, Looker, or similar platforms.
• Experience using Python for data analysis.
• Strong product mindset with the ability to connect analytical findings to business objectives and product strategy.
• Strong stakeholder-management and communication skills, including the ability to explain complex analytical and statistical concepts to non-technical audiences.
• Strong critical thinking and a proactive approach to hypothesis validation, root-cause analysis, and challenging assumptions.

• Proven mentoring or leadership experience with junior and mid-level analysts.

   

Nice to Have

• Experience within iGaming / Gambling.
• Experience in a product-driven technology company developing its own digital product.
• Experience working with large-scale user and behavioral datasets.
   

Our Benefit Cafeteria is Packed with Goodies:

• Children Allowance
• Mental Health Support
• Sport Activities
• Language Courses
• Automotive Services
• Veterinary Services
• Home Office Setup Assistance
• Dental Services
• Books and Stationery
• Training Compensation
• And yes, even Massage!

Ready to Take the Leap?

Join a team where every day is an opportunity to take a RISK and come out on top. Follow us on LinkedIn and Instagram, and let us be your hub for turning ambitious ideas and extraordinary solutions into reality.

At RISK, we believe that our people are the driving force behind our success. Together, we can achieve great things and push the boundaries of what's possible in the iGaming industry.

Location: Cascais, Portugal (on-site). We are looking for candidates based in Cascais or nearby areas 

Salary start: 1000 euros (gross)  

REQUIREMENTS: 

• Experience in office administration or a similar administrative role 
• Understanding of office management procedures and administrative processes 
• Upper-Intermediate (B2) level of English and Portuguese, both written and spoken 
• Fluent/native Ukrainian language,  
• Excellent organizational, planning, and time management skills 
• Ability to multitask, prioritize tasks, and work independently in a fast-paced environment 
• Strong attention to detail and problem-solving skills 
• Excellent communication and interpersonal skills 
• Ability to research information, compare options, and find effective solutions 
• Proactive approach and a strong sense of responsibility 
• Good command of MS Office and other basic office tools 

Would be a plus: 

• Experience working in an international environment 
• Experience coordinating vendors, service providers, and office maintenance 

RESPONSIBILITIES: 

• Ensure the smooth day-to-day operation of the office and maintain a comfortable, well-organized working environment 
• Coordinate office maintenance and arrange necessary repairs 
• Manage office supplies, including stationery, groceries, and other essentials 
• Monitor stock levels and ensure timely replenishment of office supplies 
• Prepare workspaces and coordinate office arrangements for new employees 
• Organize and coordinate corporate activities and team events 
• Communicate and coordinate with external service providers, suppliers, and contractors 
• Handle routine administrative tasks and support general office operations 
• Collaborate with the HR team on employee onboarding, internal initiatives, and team activities 
• Assist with various administrative tasks from management 

WE OFFER: 

• Competitive compensation 
• A comfortable and welcoming office in Cascais 
• A friendly and supportive team in an international company  
• A positive working atmosphere where your ideas and initiatives are valued 
• Opportunities to develop your skills and grow professionally 
• The freedom to take initiative and make a real impact on the office environment 
• Corporate events, team activities, and opportunities to connect with colleagues 
• A stable, long-term opportunity within a growing company 
• Supportive management and an open company culture 
• Work schedule Monday to Friday, 9:00 AM – 6:00 PM 

RedCore is an international business group that creates technological solutions for digital markets. Our products and services cover fintech, marketing, e-commerce, customer service, communications, and regulatory technologies.

We are looking for a Team Lead GO to join our team!

Requirements:

- 3+ years of development experience with Go;

- Strong time management and organisational skills;

- Ability to design and implement scalable and reliable software solutions;

- Excellent problem-solving skills;

Git, GitLab, GitLab CI;

- Experience with multiple databases (RDBMS, NoSQL, Redis) and messaging services (Kafka, NATS), ideally run in a cloud environment;

- Strong system design skills;

REST/RPC transports;

- Practical knowledge of containers (Docker, Kubernetes);

- Experience with microservices design and development;

- Understanding of the importance of a well-organised codebase and documentation;

- Strong analytical skills and an open-minded, creative team player mindset;

- English: Upper-Intermediate.

Will be plus:

- Understanding of event-driven architecture;

- Understanding of Twelve-Factor App methodology;

CloudEvents;

- Experience working with cloud services (GCP/AWS);

- GitOps;

- Terraform;

- Helm/ArgoCD;

- Grafana/Tempo/Loki + Prometheus;

- High-load systems;

- Experience coordinating complex third-party dependencies.

Soft Skills

- Responsibility;

- Sociability;

- Proactivity;

- Self-organization.
 

Responsibilities:

- A Team Lead is the day-to-day technical coordinator of a specific team, acting as the execution arm of the EM and ensuring that the team is focused, unblocked, and working efficiently toward shared goals.

- They ensure smooth operation, coordination, and quality within the team, while escalating architectural, technical, or people matters to the EM.

- They are accountable for team delivery, individual growth, and operational excellence within their scope.

Technical Leadership, Ownership & Support:

- Own the day-to-day technical execution within the team, from new features to bug fixes and quality improvements.

- Ensure the team's code quality through reviews and enforcement of best practices (testing, security, maintainability). 

- Drive code reviews, enforce coding standards, promote testing and documentation, and help the team write robust, production-ready code.

- Support and contribute to hands-on coding and testing. Lead by example through hands-on development, particularly for complex or critical features.

- Own delivery of team components and backend capabilities as defined in sprint goals.

- Facilitate design discussions within the team; escalate complex architecture topics to EM or Architect.

- Raise and track technical debt; provide input to the EM for prioritization.

- Facilitate task prioritization, workload balancing, and sprint planning. - Track progress, identify risks, and resolve blockers.

Planning & Delivery Coordination:

- Ensure alignment with PMs, QA, DevOps, and BAs on deliverables. 
- Work closely with PMs, EMs, QAs, and BAs to ensure that deliverables are clearly understood, scoped, and assigned.

- Break down work items into deliverable tasks in collaboration with PMs and EMs, balancing workload fairly across developers and helping manage priorities during sprints.

- Actively participate in sprint planning, stand-ups, and retrospectives.

Monitor team progress and adjust scope or priorities when needed, escalating blockers to the EM.

- Maintain transparency on delivery status and keep stakeholders informed of changes, delays, or challenges.

- Coordinate hand-offs and dependencies within the team and with adjacent teams.

People Leadership & Development:

- Directly manage engineers on the team (Juniors, Middles, Seniors).

- Conduct 1:1s, performance evaluations, career growth discussions, and coaching.

- Provide day-to-day mentoring and guidance to developers, especially junior and mid-level engineers, by answering questions, sharing context, and offering feedback.

- Foster a positive and inclusive team culture; ensure psychological safety, motivation, and team morale.

- Participate in team growth activities, including hiring, interviewing, candidate evaluation, and onboarding of new engineers.

- Identify talent and growth opportunities; support professional development. 

- Partner with EM and Domain Lead to hire, onboard, and retain high-quality engineers.

- Encourage a sense of ownership and pride in the team's work; celebrate wins and learn from failures together.

Communication & Reporting:

- Keep EM and PM informed of team progress, risks, and dependencies.

- Share updates from EM or domain leads with the team.

- Act as the go-to person for team-level updates in cross-team syncs or sprint reviews.

- Participate in cross-team discussions to ensure alignment with domain strategy and priorities.

Success Criteria:

- The team consistently delivers on commitments with high quality.

Engineers are growing in skills and autonomy.

- The team operates efficiently, collaborates effectively, and maintains a healthy culture.

- Stakeholders trust the team for delivery, transparency, and problem-solving.

Our benefits to you:
☘️An exciting and challenging job in a fast-growing business group, the opportunity to be part of a multicultural team of top professionals in Development, Architecture, Management, Operations, Marketing, Legal, Finance and more

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

🧑🏻‍💻Modern corporate equipment based on macOS or Windows and additional equipment are provided

🏖Paid vacations, sick leave, personal events days, days off

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

📚Educational programs: regular internal training sessions, compensation for external education, attendance of specialized global conferences

🎯Rewards program for mentoring and coaching colleagues

✈️In-house Travel Service

🦄Multiple internal activities: online platform for employees with quests, gamification, presents and news, clubs for movie / book / pets lovers and more

🎳Other benefits could be added based on your location

Who we are:
Selesa offers IT outsourcing, specialist out-staffing, and project management services to enhance business operations. We focus on providing skilled professionals for IT needs, including development, security consulting, and business development. Selesa also manages sales, account management, and human resources to support company growth. Our services are known for efficiency, quality, and strong communication, making us a trusted partner for businesses looking to streamline and secure their IT infrastructure. Originated in Vilnius, Lithuania, we cater to global clients
 

Who we are looking for:

We are seeking a junior Sales Manager to identify and pursue new business opportunities, leveraging industry contacts and market research. This role involves driving sales, developing market strategies, securing new clients, and maintaining long-term account relationships.

Responsibilities:

• Run Market Generation & Outreach
• Manage the Sales Pipeline Process
• Represent our brand at industry events and trade shows
• Promote our platform
• Achieve and exceed sales targets
• Gain and retain new clients through new deal opportunities and account management
• Identify and establish strategic partnerships
• Collaborate with BD and Product teams
• Lead and coach a team of salespeople
• Assign sales territories

• Develop and implement a sales plan

   

Requirements:

• Fluent in English (near native)
• 1-2 years of experience in B2B Sales or Business Development 
• Experience in iGaming industry is a must
• Excellent negotiation and interpersonal skills
• Ability to perform under pressure
• Strong organisational and time management skills
• Strong attention to detail and teamwork skills

• Ability to meet deadlines in a fast-paced environment

   

What we offer:

• Fully remote position with a flexible schedule
• Long-term opportunity with potential for financial and career advancement
• Supportive and positive work culture, collaborating with like-minded teammates
   

When submitting your application, please make sure to include your responses to the following screening questions in your COVER LETTER:

1. Please explain to us your level of spoken/written English. Just rank it from 1 to 10, where 10 means a Native Speaker; 8-9 means a Near Native Speaker; 6-7 means Fluent Speaker; under 6 any further levels.
2. What types of iGaming products (sports betting, casino, e-sports, etc.) have you sold before?
3. What are your Monthly salary expectations for a long-term, full-time position (if we consider 40 hours a week)?
4.  What is your notice period and how soon can you join ?

The Customer Support Engineer will focus on providing technical support and maintaining production operations. The specific requirements and responsibilities include:

The vacancy assumes a shift work schedule.
 

Job Requirements:

• Proficiency in using PC. Ideally after QA courses
• Background in Data Support (Tier 1+2); Tier 3 is an advantage.
• Strong troubleshooting and problem-solving skills.
• Excellent service orientation and communication skills.
• English level at least B1.
• Ability to work independently and as part of a team.

Key Responsibilities:

Problem Resolution:

• Identify potential production issues and implement proactive solutions.
• Troubleshoot technical issues and collaborate with teams to ensure resolution.

Customer Support:

• Provide prompt technical support to end-users
• Collaborate with R&D and product management to resolve client issues.

Production Coordination:

• Develop and manage production schedules.
• Adjust schedules as needed to accommodate changes or delays.

Stakeholder Communication:

• Serve as the primary liaison between teams to ensure clear communication.
• Notify stakeholders and clients of any delays or issues.

Work Schedule: Full-time, US business hours

About the role
We’re hiring a GCP Data Engineer for a US-based client. Availability during US business hours is required. 
You’ll own data pipelines and integrations across many client projects at once, working independently from design to deployment. If you’re comfortable juggling multiple GCP environments and like building practical, cost-efficient data and LLM-powered solutions, we’d like to hear from you.

What you’ll do

• Build and maintain data pipelines in BigQuery: scheduled queries, data transfers and incremental loads
• Develop and deploy services with Cloud Run, Cloud Functions and Cloud Scheduler
• Manage access, secrets and monitoring (IAM, Secret Manager, Cloud Monitoring) across multiple GCP projects
• Integrate external systems via REST APIs, webhooks and SFTP
• Build LLM-powered workflows using OpenAI, DeepSeek and Perplexity APIs, including prompt design

• Ship code with Git and Docker

   

Must-have

• 2–3+ years as a data engineer working with GCP
• Advanced BigQuery SQL (scheduled queries, data transfers, incremental loads)
• Strong Python
• Hands-on with Cloud Run, Cloud Scheduler, Cloud Functions, Secret Manager, IAM and Monitoring, across many projects at once
• REST APIs, webhooks and SFTP integrations
• Git and Docker
• Production experience with LLM APIs (OpenAI, DeepSeek, Perplexity) and prompt writing
• Able to work independently and manage several client projects in parallel

• Availability during US business hours 

   

Nice to have

• Terraform
• n8n
• Supabase / Postgres
• Clay
• Google Meridian
• Lead scoring or marketing-tech experience

• Track record of reducing GCP and LLM costs

   

What we offer

• Long-term engagement with a US client
• Fully remote

WHAT YOU'LL DO:
Discovery & requirements
- Engage business stakeholders directly to elicit, clarify, and document business requirements.
- Turn ambiguous problems into clear, testable requirements — using AI to accelerate research, drafting, and gap analysis.

Solution design & specification
- Produce technical solutions and specifications: data models, API contracts (OpenAPI), service boundaries, sequence and architecture diagrams.
- Make sound architecture decisions aligned with our microservices, event-driven, and security-first principles, and document the trade-offs.

Build (backend / frontend / mobile)
- Implement backend services in Python and/or Golang on PostgreSQL, with appropriate messaging (Kafka) and caching.
- Build web frontends (Vue/Nuxt or React) and, where needed, mobile features (Android/Kotlin, iOS/Swift).
- Write reusable, testable, efficient code, using AI coding agents to move fast while keeping the codebase clean and reviewable.

Test & quality
- Design and execute meaningful test coverage — unit, integration, API, and end-to-end — leveraging AI-assisted test generation and review.
- Own quality end to end: you are the developer *and* the tester, and "done" means verified.

Ship & operate
- Deliver through our CI/CD pipelines and infrastructure as code.
- Build observability in at design time (metrics, logs, tracing) and support what you ship.
 

• 
  HOW WE WORK
  - Stack: AWS, Kubernetes, Python & Golang, PostgreSQL, Kafka, Vue/Nuxt & React, Android/iOS, Terraform/Ansible, GitLab CI/CD.
  - Principles: clear and maintainable architecture, security-first, scalability and reliability, high observability and automation, cloud-native and microservices-oriented design, and a strong focus on performance, resilience, and operational excellence.
  - AI-native by default: we expect AI to be part of how you think, design, build, and test — used deliberately and responsibly.
  
  WHAT SUCCESS LOOKS LIKE:
  Within your first few months, you independently take a real business need through the full cycle — requirements, spec, implementation across the relevant layers, tests, and a production release with observability — at a speed and quality that would traditionally have required a small team, and you help the rest of engineering raise its AI fluency along the way.

Wearton is a personal stylist app. It finds the user's colours from one selfie, keeps their clothes in a digital closet, and says what to wear for the weather and the events of the day. Hooky, our AI stylist, answers questions in a chat. With virtual try-on, users see a piece of clothing on their own photo.

Wearton runs on iPhone and Android, on the web, as a browser extension (Chrome, Edge, Firefox, Safari) and inside ChatGPT and Claude through an MCP server. All clients are one TypeScript codebase that shares code between them.

We are a small product startup. You will work directly with the founder and own features end to end: API, database, web app, browser extension and mobile app.

What you will do

• Build features across the whole stack: from an API route and a database migration on Cloudflare Workers to the React web app, the browser extension and the React Native app.
• Work with LLMs and image models (OpenRouter, Google Vertex AI): prompts, structured JSON output, daily limits and cost per request.
• Write automated tests with every change (Vitest, Jest, Testing Library, Maestro e2e).
• Ship small changes often through GitHub Actions, and keep the API contract and docs up to date.
• Use AI coding agents (Claude Code) every day as part of the workflow.

Our stack

• TypeScript everywhere
• Mobile: React Native, Expo, Zustand, RevenueCat
• Web app and extension: React 19, Vite, Tailwind CSS v4, Manifest V3
• Backend: Cloudflare Workers, D1 (SQLite) with Drizzle ORM, R2, better-auth
• AI: OpenRouter (GPT, Gemini), Google Vertex AI virtual try-on, MCP
• Analytics: PostHog

Requirements

• 5+ years of commercial development, mostly in TypeScript / JavaScript
• Strong React, and production experience with React Native (Expo is a plus)
• Backend experience with Node.js or serverless (Cloudflare Workers, AWS Lambda), REST API design and SQL
• You write automated tests by default
• Experience with LLM APIs in a production product
• English B2 or higher: code, docs and communication are in English

Nice to have

• Browser extensions (Chrome Manifest V3, Firefox, Safari)
• App Store and Google Play releases, in-app subscriptions
• Consumer apps, fashion or e-commerce

We offer

• Full-time remote work
• Direct work with the founder and real influence on the product
• A modern stack and an AI-first engineering workflow

You'll lead product design at SkinnyRx end-to-end — from defining the problem and shaping the product direction to shipping polished UI.

This is a Lead Product Design role with a strong UI focus. You'll set the bar for visual craft across the product while working shoulder-to-shoulder with our Head of Product and executive team on what we build, why we build it, and how it comes to life.

AI is deeply embedded in how we work. You'll use it across the entire design process — from exploration and content generation to prototyping and production.

What you'll do

• Own product design end-to-end across the SkinnyRx app and web — from problem definition and UX flows to final shipped UI
• Set and evolve the visual design bar for the product, creating a cohesive, high-quality experience across onboarding, patient dashboards, intake, billing, and content surfaces
• Partner directly with the Head of Product and executive team to shape product direction, prioritize opportunities, and turn ideas into shipped experiences
• Generate and art-direct AI-produced content — product imagery, illustration, lifestyle photography, micro-animations, and video — at a quality that feels intentional and distinctly SkinnyRx
• Prototype interactively — in Figma when precision matters and in code via AI tools when realism and speed matter
• Build systems and patterns that let the team move quickly without sacrificing craft or consistency

• Partner closely with engineering, copy, and marketing through tight, iterative shipping cycles

   

What we're looking for

• 5+ years in product design, with experience owning meaningful consumer product experiences end-to-end
• A standout UI portfolio demonstrating exceptional visual craft and shipped consumer work
• Strong product judgment — you can move beyond executing requirements and help determine what should be built and why
• The ability to operate independently and lead through the work, bringing back thoughtful options rather than blockers
• Deep, daily use of AI throughout your workflow, including:
  • Imagery & video: Midjourney, Sora, Runway, Kling, Nano Banana
  • Code prototyping: Cursor, Claude Code, Codex
  • Design & production: Figma AI, MCP-based workflows

• Comfort moving between product thinking, interaction design, visual design, prototyping, and production details

   

Why join SkinnyRx

• High ownership and direct influence over the product and design direction
• Work closely with the people making product and technology decisions
• A culture of shipping weekly rather than designing in isolation
• AI-native workflows with a generous tooling budget — if a tool makes you better or faster, we want you using it
• Fully remote and async-friendly, across time zones
• Compensation scaled to your level

About Us

Smart Capital Center is an end-to-end, AI-powered platform for Commercial Real Estate (CRE) investment and financial management. We power real-time underwriting, asset management, and portfolio analytics through a combination of live data, workflow automation, and AI-driven insights.

Operating at the intersection of Generative AI, finance, and real estate, we are building systems that digitize and simplify complex financial workflows.

Our clients include leading institutions such as JLL, Pacific Life Insurance Company, and KeyBank. We are a lean, high-performance team building category-defining technology in a $17 trillion industry.

To learn more about our platform and vision, please visit our website.

The Role

We are looking for a Backend Software Engineer with strong experience in building scalable systems and a deep interest in AI-powered applications.

This is a high-impact, hands-on role where you will design and build backend services, integrate AI capabilities, and develop intelligent, agent-driven workflows used in real-world production environments.

You will work closely with product, AI, and engineering teams to deliver reliable, high-performance systems and automation features.

What You Will Do

Backend Development

• Design, build, and maintain backend services using Java (Spring Boot) and Python
• Develop scalable APIs and microservices for data-intensive applications
• Optimize system performance, reliability, and scalability
• Design efficient data models and handle complex integrations

AI & Intelligent Systems

• Implement and integrate AI-powered features into core products
• Design and build agent-based workflows for automation and decision-making
• Apply prompt engineering techniques to improve LLM outputs and behavior
• Work with modern AI frameworks to productionize intelligent systems

Cloud & Infrastructure

• Develop and deploy backend systems on AWS (EC2, S3, RDS, Lambda, etc.)
• Build resilient, scalable cloud-native services
• Contribute to system monitoring, logging, and reliability

System Design & Engineering Excellence

• Contribute to architecture, service boundaries, and system design decisions
• Write clean, maintainable, and well-documented code
• Ensure security, performance, and operational stability
• Continuously improve engineering quality and development practices

Collaboration

• Work closely with frontend, product, and AI teams
• Contribute to end-to-end feature delivery
• Participate in Agile development processes

Requirements

• 5+ years of backend software development experience
• Strong experience building and scaling backend systems in production

Core Technical Skills

• Strong experience with Java and Spring Boot
• Solid experience with Python
• Strong knowledge of SQL and database design (PostgreSQL preferred)
• Experience building REST APIs, microservices, and distributed systems
• Hands-on experience with AWS (EC2, S3, RDS, Lambda, etc.)
• Proficiency with Git and modern development workflows

AI & Modern Development Experience

• Experience with prompt engineering for LLM-based systems
• Practical experience building AI agent workflows in production
• Familiarity with frameworks/tools such as:
  • LangGraph
  • LangChain
  • LangSmith
  • or similar ecosystems
• Experience using AI-assisted development tools, such as:
  • Claude Code
  • Codex
  • OpenCode
  • or similar

Nice to Have

• Experience with vector databases or semantic search (e.g., Milvus)
• Knowledge of RAG (Retrieval-Augmented Generation) architectures
• Experience with CI/CD pipelines and DevOps practices
• Familiarity with event-driven architecture

• Experience with data processing pipelines or document AI systems

   

Why Join Us

• Work on cutting-edge AI-powered systems in a $17T industry
• Build real-world applications using LLMs, agents, and automation
• High ownership and autonomy with meaningful technical impact
• Opportunity to influence system design and engineering direction
• Fast-moving, execution-focused team with minimal bureaucracy
• Competitive compensation and flexible work environment

BlueVPS OÜ is looking for a Senior SEO Specialist with

Responsibilities:
- Develop and execute the international organic search strategy across the US, UK, Europe, and APAC, driving qualified traffic, customer acquisition, conversions, and revenue.

- Own site architecture, crawlability, indexation, internal linking, Core Web Vitals, structured data, and SEO aspects of website migrations. Translate technical SEO requirements into clear and actionable tasks for development teams.

- Build topical authority and organic visibility across key hosting and cloud products, including VPS, Dedicated Servers, GPU Servers, Cloud Infrastructure, and data center locations. Create data-driven content briefs and collaborate with content and product teams.

- Develop authoritative and sustainable link-building strategies and collaborate with PR and Marketing teams on digital PR, industry research, data-driven campaigns, and linkable assets.

-  Develop, test, and evaluate AEO/GEO strategies to increase brand visibility across AI-driven search and discovery platforms, including ChatGPT, Gemini, Perplexity, and Google AI experiences.

- Own organic search reporting through Looker Studio, GA4, and Google Search Console, track business-focused SEO KPIs, run SEO experiments, identify growth opportunities, and mentor SEO team members or external contractors.

Requirements:
- Experience: 5+ years of hands-on SEO experience, preferably in international B2B SaaS, Cloud, Hosting, Telecom, Cybersecurity, or other highly competitive technology sectors.

- Advanced expertise in site architecture, crawling and indexation, internal linking, international SEO (hreflang and multi-regional setups), JavaScript rendering, Core Web Vitals, structured data, canonicalization, and indexation control.

- Strong understanding of international and multi-regional SEO, including hreflang, localization, regional search intent, SERP differences, and market-specific keyword research.

- Strong knowledge of keyword research, search intent, competitor and SERP analysis, topical authority, content architecture, and optimization for competitive commercial queries.

- Strong understanding of link building, backlink analysis, link quality assessment, competitor link research, and Digital PR.
- Advanced hands-on experience with Google Search Console, GA4, Ahrefs, Semrush, Screaming Frog, and Looker Studio or comparable tools.

-  Strong analytical skills with the ability to translate complex SEO and performance data into business decisions and connect organic search performance to customer acquisition and revenue.

- Ability to independently prioritize SEO initiatives and work effectively with Development, Content, Product, Marketing teams.

- Language: English at C1 (Advanced) level, with strong written and verbal communication skills for evaluating technical and marketing content and collaborating across distributed international teams.

Nice to Have:
- Domain knowledge of hosting, VPS and Dedicated Servers, IaaS, cloud infrastructure, data centers, CDN, networking, DDoS protection, or cybersecurity.

- Hands-on experience with server log analysis, SQL, Python, APIs, or SEO automation.

- Experience managing SEO during complex website migrations, domain consolidations, redesigns, or major site architecture changes.

- Practical experience with AEO/GEO, AI Search optimization, LLM visibility tracking, or experimentation with AI-driven discovery platforms.

- Experience mentoring SEO specialists or managing external SEO agencies and contractors.

Our Customer:

Our customer is a technology company developing data-driven solutions for digital advertising and real-time campaign optimization. The team works with large-scale data and Machine Learning to support automated advertising decisions and improve campaign performance.

Your tasks:

• Develop, improve, and operate ML models used in production advertising systems.
• Work on ML problems related to bidding, bid optimization, and real-time advertising decision-making.
• Develop models for CTR/CVR prediction.
• Optimize campaign performance, budget allocation, and pacing.
• Work on ranking and decisioning models for advertising systems.
• Analyze large-scale advertising data and identify opportunities for optimization.
• Translate business and advertising problems into practical Data Science / ML solutions.
• Evaluate model performance and business impact using relevant advertising KPIs.
• Conduct experiments and A/B testing to validate and improve ML solutions.
• Collaborate with engineering and product teams to deploy and continuously improve production models.

Required experience and skills:

• 5+ years of commercial experience in Data Science / Applied Machine Learning.
• Hands-on experience in AdTech / Programmatic Advertising.
• Direct experience with RTB / real-time bidding systems.
• Commercial experience applying ML/Data Science to advertising optimization.
• Hands-on experience with bidding or bid optimization.
• Experience with CTR/CVR prediction, campaign optimization, ranking, pacing, budget allocation, or advertising decisioning.
• Experience developing, improving, or operating ML models in production.
• Strong Python skills.
• Strong SQL skills and experience working with large-scale datasets.
• Experience translating business problems into ML/Data Science solutions.
• Strong analytical and problem-solving skills.
• Strong English communication skills.

Would be a plus:

• Experience with DSP platforms.
• Experience with bidder logic, bidding algorithms, or bid-price optimization.
• Knowledge of OpenRTB and auction dynamics.
• Experience with real-time decisioning or pre-bid optimization/filtering.
• Experience with user acquisition, retargeting, or performance advertising.
• Experience with large-scale real-time ML.
• Experience with online experimentation / A/B testing.
• Experience with contextual bandits, online learning, or reinforcement learning.

About the Project

We are looking for a Data Analyst to join an international project focused on large-scale data aggregation and operational support. This role combines data analysis with operational responsibilities, offering an opportunity to work closely with both internal teams and the client.

Responsibilities

• Analyze large datasets and provide actionable insights.
• Validate business hypotheses and support data-driven decision-making.
• Write, optimize, and maintain SQL queries.
• Investigate client-reported issues and perform data validation.
• Conduct root cause analysis and assist in resolving operational incidents.
• Support day-to-day operational processes and client requests.
• Collaborate with cross-functional teams and stakeholders.

Requirements

• Solid knowledge of SQL, Python, and Excel.
• Strong self-management and ability to work autonomously.
• Experience working in distributed or remote teams.
• Ability to operate effectively in a dynamic, operational environment.

• Flexibility to occasionally support business needs outside standard working hours.

   

Working Conditions

• Working schedule: Sunday–Thursday (Ukraine time zone).
• Strong focus on information security and data confidentiality.

Hiring process

1. HR interview
2. Logic assessment
3. Python assessment 
4. Technical interview
5. Client interview

About the Role

We are looking for a Sales Research Associate to join our Sales team and support the SDR function by identifying and qualifying potential customers in the US and Canadian construction market.

Your main responsibility will be to research target companies, identify the right decision-makers, verify contact information, and prepare qualified leads for the SDR team. This is a research-focused role with no outbound calling quota.

What You’ll Do

• Research companies within the US and Canadian construction market.
• Identify relevant decision-makers and key contacts within target companies.
• Use ZoomInfo and other research tools to find and verify contact information.
• Analyze company structure, projects, and industry information to determine whether a company fits our target profile.
• Monitor FAA construction-related filings and use them to identify potential companies and projects.
• Add and maintain accurate company and contact information in HubSpot.
• Assign the appropriate company segment, ICP tier, and owner.
• Create well-prepared HubSpot tasks for SDRs with all the relevant information needed for outreach.
• Work closely with SDRs and the Sales team to clarify and qualify potential leads.
• Document research processes and contribute to improving and automating lead research workflows.

What We’re Looking For

• Experience in sales research, lead generation, sales operations, data enrichment, or a similar role.
• Hands-on experience with ZoomInfo and HubSpot.
• Good understanding of the US and Canadian construction industry.
• Ability to distinguish between general contractors, steel erectors, steel fabricators, and other construction companies.
• Strong online research and analytical skills.
• Ability to work with regulatory or industry-related documents and extract relevant information.
• Fluent English, both written and spoken.
• Strong attention to detail and data accuracy.
• Ability to organize information clearly and work independently.
• Willingness to document processes and contribute to their future automation.
• Based in Ukraine and comfortable working with several hours of overlap with US business hours.

Nice to Have

Experience with tools such as:

• LinkedIn Sales Navigator
• Apollo
• Cognism
• Lusha
• Clay

What Success Looks Like

• High-quality, qualified contacts are consistently delivered to the SDR team.
• CRM data is accurate, complete, and properly categorized.
• SDRs can start outreach without having to conduct additional research.
• New opportunities identified through construction projects and FAA filings are quickly converted into actionable leads.
• Research processes become increasingly structured and automated over time.

Java · Selenide · AWS / Azure / GCP · Kubernetes · Terraform · Runtime Threat Detection
 

About the role

Upwind is a runtime-powered cloud security platform. We protect customers' cloud environments across AWS, Azure, and GCP — from the moment an account is onboarded, through vulnerability and image scanning, CSPM and compliance, identity and inventory correctness, all the way to runtime threat detection.
 

You will own quality for a set of product areas end to end: writing and running the manual test plans, building and maintaining the UI automation that keeps them from regressing, and being the person who finds the problem before a customer does. You sit inside a feature squad next to the backend and frontend owners, not downstream of them.
 

This is a hands-on role with a real learning curve on the cloud-security domain. We expect you to grow into it, and we will support that.
 

What you'll actually do

Manual testing & test design

• Build test plans for new features — onboarding flows, dashboards, scanners, integrations — and turn them into structured, prioritized test cases (P0/P1/P2) with clear preconditions, steps, and exit criteria.
• Run feature-level manual QA cycles: validate acceptance criteria against the PRD, verify each functional requirement, sign off before go-live.
• Run regression and retest sweeps ahead of releases, and verify fixes on dev before they move forward.
   

Bug reporting

• File bugs that engineers can act on immediately: summary, exact reproduction steps, expected vs actual, impact, environment, and evidence (HTTP requests/responses, Terraform or Helm output, console links, screenshots).
• Triage bug clusters by root cause and link related issues, rather than filing ten tickets for one underlying defect.
• Escalate customer-impacting findings clearly — especially anything that blocks onboarding or produces silent data inconsistency.
   

Automation

• Write and maintain WebUI automated tests in Java + Selenide, extending an existing framework: new test cases, page objects, helpers, test data.
• Grow automation coverage for the areas you test manually, so that manual effort shifts toward exploratory and new-feature work.
• Keep the suite healthy — investigate failures, distinguish real defects from flakiness, and fix the flaky ones.
• Push testability into the product: drive stable data-testid selectors and other conventions instead of depending on CSS classes, DOM structure, or text.
   

Cloud & hands-on environment work

• Set up and tear down test environments yourself: onboard AWS accounts and organizations via CloudFormation and Terraform, onboard Azure tenants and GCP projects, and verify off-boarding actually cleans up.
• Deploy and validate our sensors — the Upwind Operator on EKS via Helm, and host agents on EC2 instances.
• Generate realistic QA workloads and verify the platform detects and displays them correctly.
• Cross-check what the UI shows against the underlying data — backing stores, exports, and reports — to catch cases where the UI and reality disagree.
   

Collaboration

• Work daily with backend and frontend engineers, product managers, and designers inside feature working groups (Slack channels, Figma, Confluence).
• Keep test plans, test cases, and results documented in Jira and Confluence so anyone can pick up the state of a feature.
   

What we're looking for

Must have

• Commercial experience in software QA covering both manual and automated testing.
• Java — confident enough to read, extend, and debug an existing test codebase.
• Hands-on experience with UI test automation (Selenide, Selenium, or a similar WebUI framework). Selenide specifically is a plus, but transferable experience is fine.
• Solid test design fundamentals: equivalence classes, boundary values, negative testing, prioritization, and knowing what not to test.
• Comfort with REST APIs and browser devtools — reading requests, responses, status codes, and payloads to pinpoint whether a bug is frontend, backend, or data.
• Working knowledge of at least one major cloud provider (AWS, Azure, or GCP) — you can navigate a console, understand IAM basics, and follow an onboarding flow.
• Basic Linux and CLI comfort: SSH, systemctl, log reading, running install scripts.
• Git, and experience working in a Jira-based workflow.
• English sufficient for daily written and spoken work with a distributed team.
   

Nice to have

• Kubernetes fundamentals — enough to run kubectl, install a Helm chart, and read pod logs.
• Terraform or CloudFormation exposure.
• Background or genuine interest in cybersecurity: vulnerabilities and CVEs, CSPM, IAM, threat detection.
• SQL or experience querying a data store (e.g. OpenSearch) to verify data independently of the UI.
• CI/CD experience — running suites in a pipeline, reading build failures.
• Experience testing in regulated or compliance-driven environments (FedRAMP, SOC 2, or similar).
   

What matters most to us

• Curiosity about why something broke, not just that it broke. The best bugs on our board come with a diagnosis attached.
• Ownership. You set up your own environments, you chase the answer, you follow the fix through to verification.
• Precision in writing. A vague bug report costs the team a day; a good one saves it.
• Willingness to learn cloud security fast. You don't need to arrive an expert — you do need to want to become one.
  
   

What you'll learn here

Real depth in cloud security across all three major providers, hands-on Kubernetes and infrastructure-as-code, a mature Java automation stack, and what it takes to ship a security platform trusted with production cloud environments.