Jobs at Djinni

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We’re looking for an AI Engineer (Senior level or strong Middle) to join our team and work directly with startup's Data Science and R&D teams. This is a hands-on, delivery-focused role where you will own projects end-to-end, from early design to production deployment.

The role is focused on building production-grade Generative AI systems on AWS, especially RAG pipelines, agent-based workflows, and LLM-powered backend services. This is not a pure research or model training role, it’s about designing and shipping reliable systems under real constraints.

📍 Work location: remote from Ukraine.

If you are interested in this opportunity, please submit your CV in English.

Key Responsibilities

• Build and deliver production-ready GenAI systems on AWS, including RAG pipelines, retrieval logic, and LLM-based services
• Design and implement agent-based or multi-step workflows for real use cases (not just prototypes)
• Work closely with Solution Architects, DevOps, and client teams to turn ideas and POCs into scalable systems
• Deploy, monitor, and improve ML/LLM systems in production, focusing on performance, cost, and reliability
• Work with AWS services such as Bedrock, OpenSearch, Lambda, S3, DynamoDB, SageMaker, and CloudWatch
• Adapt existing ML or GenAI code into production environments when needed
• Continuously improve system quality, including retrieval performance, output consistency, and evaluation approaches

• Operate in a fast-paced, project-based environment where you may own a project as the main engineer

   

Requirements

• Strong hands-on experience building and deploying AI / GenAI systems in production
• Solid experience with AWS in real projects (not just Console usage), including working with services like Bedrock, OpenSearch, Lambda, S3, or similar
• Experience building RAG systems in practice, including retrieval logic, vector databases, and output quality improvements
• Experience working with LLM frameworks or tools such as Amazon Bedrock, OpenAI, LangChain, or LlamaIndex
• Strong Python skills and a good understanding of backend system design
• Experience designing multi-agent systems or more complex orchestration workflows
• Experience with vector databases (OpenSearch, pgVector, Pinecone, etc.)
• Comfort working in fast-moving environments with short project cycles (weeks to a few months)
• Strong communication skills and ability to work directly with clients and cross-functional teams
• Ability to clearly explain technical decisions, limitations, and trade-offs in English (written and spoken)
• Experience with AWS Bedrock advanced features (e.g. Knowledge Bases, agent orchestration) - an advantage 
• Experience with Kubernetes, Docker, IaC Terraform and CI/CD pipelines  - an advantage 

• Background in Machine Learning or Data Science (including model training or fine-tuning)  - an advantage

   

What Success Looks Like in Year One

• Within 12 months, you are independently owning and delivering production GenAI systems on AWS, from initial design through deployment and iteration
• Working directly with customers and making clear architectural decisions around performance, cost, and reliability

• You are comfortable taking an ambiguous problem, turning it into a working system end-to-end, and explaining the trade-offs behind your approach

   

Why Join Automat-it?

Be at the Forefront of Cloud Innovation

Join a global leader and AWS Premier Tier Services Partner. We don't just use the cloud; we master it. As an All-In AWS partner, you’ll work with the most sophisticated tech stacks and help maintain our status as a top-tier collaborator in the global ecosystem.

Work on Meaningful, Large-Scale Impact

We specialize in helping startups and scaleups scale at speed. By joining us, you’ll be part of a team that has successfully completed hundreds of complex projects, directly influencing the growth of the next generation of unicorns through our unique "Product-based Professional Services" approach.

Accelerate Your Career Trajectory

In our fast-paced, dynamic environment, "growth" isn't just a buzzword. You will have:

• Clear Progression: Defined career paths from engineering to leadership.
• Continuous Learning: Sponsored AWS certifications and access to internal "Expert-led" knowledge sharing.
• Cutting-Edge Exposure: Early access to beta AWS features and high-level architectural challenges.

Thrive in a Culture of Excellence

We pride ourselves on a collaborative, supportive, and transparent culture. You’ll work alongside and learn from some of the industry’s brightest architects and DevOps engineers who are committed to mentorship and collective success, including AWS Gold Jacket recipients.

Global Reach, Boutique Feel

With over 250 employees across EMEA and the USA, enjoy the stability of a mature, profitable company with the agility and spirit of a startup. Whether you are working on GenAI & Agentic use cases, DevOps automation, FinOps optimization, or Kubernetes migrations, your voice is heard, and your contributions are visible.

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• English classes
• Soft skills training

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all. We firmly believe that cultivating a diverse workforce is crucial to our success. Our recruitment decisions are grounded in your experience and skills, recognizing the value you bring to our team.

Role overview

Amplify is looking for a Growth Marketing Manager to own our go-to-market and acquisition end to end. This is a hands-on role for someone who owns the strategy and lives in the ad accounts – positioning, channels, and the numbers.

You'll work directly with the leadership team to shape how Amplify wins against the rest of the Shopify ecosystem. On a small team, you'll own marketing end to end – this is for someone who wants that accountability and the autonomy that comes with it. As we grow, there's room to build and lead a team.

Key responsibilities

• Own Amplify's go-to-market strategy – positioning, messaging, and how we win merchants
• Plan, build, and optimize paid acquisition across Google, Meta, Shopify App Store – you name it
• Own the growth funnel end to end: acquisition, activation, and the metrics that matter (CAC, ROAS, etc)
• Run experiments across channels, landing pages, and offers
• Sharpen how we position against competitors in the bundling and upsell space
• Partner with Product and CS to turn customer insight into messaging and campaigns

• Report clearly on what's driving growth and what to scale next

   

Requirements

• 5+ years in growth or performance marketing, with real ownership of acquisition and GTM
• A track record of driving measurable growth – you can point to numbers you moved
• Hands-on expertise running paid acquisition (Google, Meta, and similar channels)
• Strong grasp of positioning and messaging
• Comfortable owning metrics and making decisions from data
• Self-directed and accountable: you thrive owning outcomes on a small team
• Experience marketing to Shopify merchants, DTC brands, or the e-commerce ecosystem is a strong plus
• Experience with B2B SaaS or direct-sales go-to-market is a plus

What we offer

• Competitive compensation, with bonuses tied to company performance
• Fully remote work with a collaborative and supportive team
• Real ownership over how the company grows
• A profitable, fast-growing product with strong customer love and room to scale
• The chance to build the growth function, and a team, from the ground up

How to Apply

Please submit your CV along with a short note outlining your customer success experience, any Shopify or e-commerce work you've done, and why you're interested in joining Amplify.

Please note: this is a contractor position

Automat-it is an all-in AWS Premier Partner and Managed Services Provider specializing in the startup ecosystem. With over 800 customers and 500+ AWS certifications, Automat-it brings hands-on expertise in AI, DevOps, and FinOps to empower fast-paced startups to grow, deliver & win. Our customers save significant time-to-market and optimize their cloud performance and costs.

We work across EMEA and the US, fueling innovation and solving complex challenges daily. Join us to grow your skills, shape bold ideas, and help build the future of tech.

We are looking for a Support Engineer with hands-on AWS and Linux experience, strong troubleshooting skills, and the ability to monitor, support, and optimize customer environments in a 24/7 setting.

📍 Work location - Ukraine

Responsibilities

• Respond to incidents according to playbooks 
• Provide customer support in rotating 8-hour shifts to ensure 24/7 coverage
• Monitor and troubleshoot network, infrastructure, and application issues
• Analyze metrics, alerts, and incidents to fine-tune algorithms and thresholds
• Maintain and document monitoring solutions

• Contribute to infrastructure automation and internal Support tools development

  

Requirements

• At least 1 year of experience in a similar position such as NOC/Tech Support engineer
• Hands-on AWS cloud experience 
• Confident Linux OS knowledge
• Network troubleshooting and configuration
• GIT and scripting skills with either Python or Bash
• Web applications architecture understanding 
• Monitoring tools (Prometheus, Cloudwatch, etc.) and principles 
• Upper-intermediate English language proficiency
• Great customer service and confident business communication skills
• Strong troubleshooting and problem-solving skills, drive to prevent incidents
• Be innovative, learn new tools and best practices
• IaaC: CloudFormation, Terraform knowledge - advantage
• CI/CD: Jenkins, ArgoCD - advantage

• Containers orchestration: Docker, Kubernetes (EKS, GKE) - advantage

   

What Success Looks Like in Year One

• You demonstrate a strong understanding of the AWS services and infrastructure components monitored across customer environments, including customer-specific dependencies, alerting logic, and operational context. You use this knowledge to perform efficient root cause analysis and reduce investigation time during incidents.
• You demonstrate confident hands-on experience with the core monitoring toolset, including Datadog, CloudWatch, Grafana, Zabbix, and PagerDuty. You can independently configure monitoring for a new customer from scratch, including alerting, dashboards, and escalation flows tailored to the customer’s infrastructure and operational requirements.
• You demonstrate strong Сustomer Obsession, critical thinking, and analytical skills by going beyond alert acknowledgment to analyse patterns across metrics, logs, and events. You apply logical reasoning to identify root causes, distinguish false positives from real issues, improve alerting quality based on your findings, and help translate this ownership mindset across the team.
• You take effective ownership of customer issues, coordinate confidently with internal and external stakeholders, including DevOps, FinOps, AWS Support, and AWS TAMs.
• You can confidently act as the main engineer on shift, support new team members during their ramp-up, and help your shift partner follow the team’s operational flow, communication standards, and escalation process.

• You have successfully achieved the AWS Certified Cloud Practitioner and AWS Certified Solutions Architect - Associate certifications, and continue developing your AWS expertise by preparing for additional certifications aligned with your professional growth path.

   

Benefits

• Professional training and certifications covered by the company (AWS, FinOps, Kubernetes, etc.)
• International work environment
• Referral program – enjoy cooperation with your colleagues and get a bonus 
• Company events and social gatherings (happy hours, team events, knowledge sharing, etc.)
• Wellbeing and professional coaching
• English classes

• Soft skills training

   

Country-specific benefits will be discussed during the hiring process.

Automat-it is committed to fostering a workplace that promotes equal opportunities for all and believes that a diverse workforce is crucial to our success. Our recruitment decisions are based on your experience and skills, recognizing the value you bring to our team.

We are looking for an SMM Manager to join a new licensed iGaming product focused on the Ukrainian market.

This is a great opportunity for someone who wants to build a brand’s social media presence from scratch, influence communication strategy, and work closely with marketing, product, design, and leadership teams during the launch stage.

About company

BETVAM is a modern licensed iGaming product created for the Ukrainian market. The company is currently at the pre-launch and launch stages, building key business, marketing, and brand functions from the ground up.

BETVAM combines technology, fast decision-making, responsible gaming standards, and a strong focus on local audience relevance.

About Role

As an SMM Manager,  you will be responsible for developing and managing the brand’s social media presence in Ukraine.

You will create content plans, manage publishing, follow trends, coordinate creatives, work with communities and influencers, and help shape the brand’s tone of voice across social platforms.

Responsibilities

• Develop and implement the SMM strategy for the Ukrainian market.
• Manage brand pages across key social media platforms.
• Create content plans, calendars, rubrics, and publishing schedules.
• Write engaging posts, captions, stories, and short-form content in Ukrainian.
• Adapt and maintain the brand tone of voice across social media.
• Monitor trends, competitors, audience behavior, and iGaming market activity.
• Prepare briefs for designers, motion designers, and video teams.
• Coordinate content production for launches, campaigns, promos, and brand activities.
• Work with influencers, creators, communities, and media partners when needed.
• Moderate comments, messages, and community interactions.
• Track social media performance and prepare regular reports.
• Analyze results and suggest improvements.
• Ensure all communication follows brand, legal, and compliance requirements.

Requirements

• 2+ years of experience as an SMM Manager, Content Manager, or Social Media Specialist.
• Strong understanding of the Ukrainian social media landscape.
• Experience with Telegram, Instagram, TikTok, Facebook, X, or other relevant platforms.
• Excellent written Ukrainian.
• Ability to create content plans and manage publishing schedules.
• Understanding of social media analytics and performance metrics.
• Experience working with designers, video editors, and marketing teams.
• Creativity, attention to detail, and strong sense of tone of voice.
• Ability to work in a fast-paced launch-stage environment.
• Understanding of responsible communication in regulated industries.

Nice to Have

• Experience in iGaming, betting, gaming, fintech, entertainment, or sports-related products.
• Experience launching social media pages or building communities from scratch.
• Knowledge of influencer marketing and creator collaborations in Ukraine.
• Basic understanding of paid social media campaigns.
• Experience with social listening, trend monitoring, or community management tools.

If you are interested in building social media processes, shaping brand communication, and working on the launch of a new licensed iGaming product, we would be happy to meet you.

We are looking for a strong Anti-Fraud specialist to join a new iGaming project at the pre-launch stage.
⭐ About BetVam

BetVam is a new licensed Ukrainian iGaming operator currently in the active launch phase and building its core business processes from the ground up.

We are creating a modern betting and casino platform focused on long-term growth, excellent customer experience, operational excellence, and full compliance within a regulated market.
♠️ Position Details

Location: Kyiv (Office / Hybrid)

Employment Type: Full-time

Start Date: ASAP

Project Stage: Pre-launch, Product Launch Phase
✅ Key Responsibilities

Monitor player activity, deposits, withdrawals, bonuses, payment transactions, and behavioral patterns to detect suspicious activity.
Investigate bonus abuse, multi-accounting, payment fraud, chargebacks, account takeovers, and other fraud cases.
Analyze user behavior, transaction history, device data, and payment patterns to identify risks.
Prepare case conclusions and recommendations: additional verification, payment holds, restrictions, or escalation.
Support the setup and improvement of fraud rules, alerts, monitoring workflows, and operational controls.
Work closely with Payments, AML, Compliance, Customer Support, Product, and Finance teams.
Track fraud trends, recurring abuse patterns, and emerging threats in iGaming.
Support fraud reporting, KPIs, and internal fraud awareness initiatives.

➡️ What Is Important to Us

2+ years of experience in Anti-Fraud, Fraud Prevention, Risk, Payment Risk, or a similar role, preferably in iGaming.
Understanding of sportsbook/casino fraud schemes, bonus abuse, multi-accounting, chargebacks, payment fraud, and account security risks.
Experience with fraud monitoring tools, anti-fraud systems, risk platforms, or transaction monitoring systems.
Strong analytical skills and ability to investigate complex cases using data.
Understanding of payments, PSPs, deposits, withdrawals, and chargeback processes.
Knowledge of AML, KYC, responsible gaming, and regulated gambling markets will be a plus.
Confident Excel / Google Sheets skills and experience with reporting tools.
Ability to make risk-based decisions in a fast-paced environment.
Strong communication skills and ability to work with cross-functional teams.

Who We Are Looking For

We are looking for a proactive and analytical Anti-Fraud Specialist who understands iGaming fraud risks and enjoys hands-on investigation work.

This role is a great fit for someone who wants to join a licensed Ukrainian iGaming project at the pre-launch stage, help shape anti-fraud processes from the beginning, and play a key role in building a secure and scalable product.

 We are looking for an AML Lead (iGaming)

Build the financial monitoring system for a new licensed iGaming product

At BETVAM, we are creating a modern Ukrainian iGaming product that combines technology, fast decision-making, and high standards of regulatory compliance.

We are currently at the launch stage and building the key business functions, so we are looking for an AML Lead who will become one of the company’s key experts in financial monitoring, AML/CFT, and compliance risk management.

This is an opportunity not just to work with ready-made procedures, but to participate in building a control and financial monitoring system from scratch, directly influencing product development and the business’s compliance with regulatory requirements.

Work Format

Full-time
Office / Remote - to be discussed
Product stage: Pre-launch → Launch
Regulation: Ukraine licensed market

✅ Key Responsibilities

AML/CFT and Financial Monitoring

• Build, implement, and maintain the financial monitoring system in line with Ukrainian legislation.
• Monitor client transactions, including deposits, withdrawals, and atypical user behavior.
• Identify, analyze, and escalate suspicious activity.
• Conduct Customer Due Diligence and Enhanced Due Diligence for high-risk clients.
• Review Source of Funds and Source of Wealth documentation.
• Perform screening against PEP, sanctions, and other risk lists.
• Prepare risk conclusions and make recommendations on further client servicing.

Compliance and Regulatory Control

• Develop and update AML/CFT policies, procedures, and internal regulations.
• Ensure ongoing compliance with Ukrainian financial monitoring requirements.
• Prepare internal reports, case files, and compliance documentation.
• Participate in internal and external audits or regulatory reviews.
• Communicate with banks, PSPs, financial partners, and relevant authorities on AML and financial monitoring matters.

Process Development

• Set up AML controls and risk-based monitoring processes for a new iGaming product.
• Support automation of financial monitoring and risk control processes.
• Provide guidance and training to internal teams on AML/CFT requirements.
• Help define practical procedures for launch-stage operations.

Requirements

• At least 2 years of experience in AML/CFT, Financial Monitoring, or Compliance.
• Experience with financial monitoring procedures under Ukrainian legislation.
• Relevant professional certification in Financial Monitoring.
• Strong knowledge of AML/CFT, KYC, CDD, and EDD principles.
• Experience reviewing client activity, transaction patterns, and risk indicators.
• Experience interacting with banks, PSPs, or financial institutions.
• Experience developing internal policies, procedures, or compliance documentation.
• Strong analytical thinking, attention to detail, and a structured approach.

Nice to Have

• Experience in iGaming, fintech, payments, or another regulated digital business.
• Experience participating in the launch of a licensed product or building AML processes from scratch.

For our partner, we are looking for an Anti-Fraud  specialist 

Licensed iGaming Project | Pre-launch | Kyiv, Ukraine

About the Company

They are an international product company preparing to launch a licensed online casino for the Ukrainian market. Currently in the pre-launch phase, we are building a modern, technology-driven business focused on operational excellence, regulatory compliance, and long-term sustainable growth.

Our team brings together experienced professionals from the iGaming, IT, FinTech, Product, Compliance, and Operations domains, working collaboratively to build a scalable product that meets the highest industry standards.
✅ Key Responsibilities

Monitor player activity, deposits, withdrawals, bonuses, payment transactions, and behavioural patterns to detect suspicious activity.
Investigate bonus abuse, multi-accounting, payment fraud, chargebacks, account takeovers, and other fraud cases.
Analyze user behavior, transaction history, device data, and payment patterns to identify risks.
Prepare case conclusions and recommendations: additional verification, payment holds, restrictions, or escalation.
Support the setup and improvement of fraud rules, alerts, monitoring workflows, and operational controls.
Work closely with Payments, AML, Compliance, Customer Support, Product, and Finance teams.
Track fraud trends, recurring abuse patterns, and emerging threats in iGaming.
Support fraud reporting, KPIs, and internal fraud awareness initiatives.

➡️ What Is Important to Us

2+ years of experience in Anti-Fraud, Fraud Prevention, Risk, Payment Risk, or a similar role, preferably in iGaming.
Understanding of sportsbook/casino fraud schemes, bonus abuse, multi-accounting, chargebacks, payment fraud, and account security risks.
Experience with fraud monitoring tools, anti-fraud systems, risk platforms, or transaction monitoring systems.
Strong analytical skills and ability to investigate complex cases using data.
Understanding of payments, PSPs, deposits, withdrawals, and chargeback processes.
Knowledge of AML, KYC, responsible gaming, and regulated gambling markets will be a plus.
Confident Excel / Google Sheets skills and experience with reporting tools.
Ability to make risk-based decisions in a fast-paced environment.
Strong communication skills and ability to work with cross-functional teams.
English: Intermediate level is a bonus

Who We Are Looking For

We are looking for a proactive and analytical Anti-Fraud Specialist who understands iGaming fraud risks and enjoys hands-on investigation work.

This role is a great fit for someone who wants to join a licensed Ukrainian iGaming project at the pre-launch stage, help shape anti-fraud processes from the beginning, and play a key role in building a secure and scalable product.

Position name: Senior Business Analyst
Level: Senior

⚠️ This is NOT a classical BA role. The candidate must have hands-on experience working within an AI-first / agentic development workflow. Classical BA without agentic experience will not be a fit.

Hard skills (must have):

• 5+ years of BA experience in a software development environment
• Hands-on experience with agentic / AI-assisted development workflows (CodeFactory, SpecKit, BMED, or equivalent framework)
• Ability to guide LLMs through structured prompting and validate AI-generated documentation
• Proven experience eliciting and documenting requirements: user stories, use cases, functional specifications, SRS
• Ability to extract, structure, and prioritize requirements from an existing product and translate them into clear, actionable documentation for developers and QA
• Experience leading requirements workshops and regular sync meetings with technical and non-technical stakeholders
• Proficiency in business process modeling (BPMN or similar)
• Strong grasp of software architecture and understanding of how documentation connects to development and QA
• Experience maintaining documentation in a Git repository

Summary
We're a creative team looking for a Meta ads specialist to set up and run our ad accounts on an ongoing basis. You would build the campaigns, monitor performance, run tests, and make adjustments over time to keep results improving. We handle all of the visuals and messaging in-house, so you would focus purely on the ads side: setup, targeting, testing, optimization, and reporting.

This is an ongoing, per-account relationship rather than a one-off project. We run several accounts and add more over time, so there is steady, recurring work for the right person.

What you'd do:
Set up campaigns, audiences, and tracking for each account
Monitor performance regularly and make adjustments
Test and optimize to improve results over time
Share simple performance updates so we know how things are going

Must-haves:
Proven experience running Meta ads for the US market (you do not need to be based in the US)
Real examples of past work with actual results, not just claims
Comfortable with an ongoing, per-account arrangement

Nice to have:
Willingness to share insights on what messaging and creative tend to work and what doesn't, so we can factor that into what we produce

What we provide:
All visuals, videos, and on-image messaging

ML Engineer / MLOps Engineer

Location: Remote
Duration: Long-term
 

Основні обов'язки:

• Керувати повним циклом розгортання, підтримки та моніторингу ML/DL-моделей у production.
• Проєктувати та впроваджувати системи керування датасетами та лейблами, включаючи versioning та інтеграцію customer feedback.
• Розвивати Model Registry з підтримкою версіонування, model lineage та локального inference.
• Впроваджувати рішення для Experiment Tracking та Monitoring (ML та Generative AI), включаючи оцінку моделей, виявлення data drift та забезпечення відтворюваності експериментів.
• Розвивати системи model serving та inference: autoscaling, A/B testing, canary deployments, оптимізація latency та вартості.
• Забезпечувати інфраструктуру для Generative AI (prompt management, tagging tools, LLM testing).
• Покращувати DevOps-процеси, автоматизувати ML workflows та впроваджувати reusable компоненти (CI/CD, data loaders, automated retraining).
• Тісно співпрацювати з Data Scientists та командою Data Platform Engineering для впровадження ML-рішень у production.
   

Основні вимоги:

• Вища освіта у сфері Computer Science, Software Engineering або суміжній галузі.
• Практичний досвід роботи як ML Engineer та MLOps Engineer.
• Глибоке розуміння ML/DL workflows та MLOps best practices.
• Досвід побудови та підтримки CI/CD процесів.
• Комерційний досвід роботи з AWS, Azure або GCP.
• Впевнене володіння Python та Java.
• Досвід роботи з PostgreSQL, MongoDB, Redis.
• Практичний досвід з MLflow, Langfuse, SageMaker або аналогічними інструментами.
• Досвід роботи зі Spark.
• Досвід використання PyTorch або TensorFlow.
   

Важливо:  мати комерційний досвід одночасно як ML Engineer, так і MLOps Engineer.

Interview Process:
1. HR with Recruiter (~30 min)

2. GenAI Avatar Screening  (~30 min)

3. Intro call with the client (~30 min)
4. Technical interview (~2 hours)
5. Second technical interview (1–1.5 hours)
6. Final HR interview with client (~30 min)

Search is splitting in two: classic Google and answers inside ChatGPT, Claude, and other AI assistants. We build the platform that helps enterprise SEO teams win in both. Now we need someone to do the same for our own brand.
 

Who we are

JetOctopus is a technical SEO platform with 10 years on the global market. We bring crawl data, server logs, Google Search Console, and GA4 together in one place, and we track how AI crawlers like GPTBot and ClaudeBot behave on large sites. 

Our customers range from Ukrainian market leaders (Rozetka, Auto.ria, Dim.ria, Comfy, Promodo) to global brands like Adidas, Glovo, HubSpot, and Rituals. Low churn, customers on every continent, and a flow of leads that come by word of mouth. The product sells well; we want the content to match it.
 

The role

You'll own content at JetOctopus end to end. Not "write what you're told," but set the strategy, plan it, ship it, and answer for whether it moves the business.
 

Your main mission right now: maximum visibility for our site in both classic search and LLM answers. That means content written for how these systems find and cite sources, plus a presence beyond our own domain — Reddit, YouTube, third-party publications. You won't do all of that with your own hands; colleagues and freelancers will help in those channels. But the strategy that ties it together is yours.
 

The content itself is technical. We write about SEO for people who do SEO for a living, so you need to genuinely understand the field, not just the keywords.
 

What you'll actually do

• Set and own the content strategy, measured in business results
• Write for the blog, landing pages, and email newsletters (external writers can carry volume; the voice and the bar are yours)
• Run our LinkedIn & X: posts, community, brand
• Orchestrate off-site visibility: Reddit, YouTube, third-party sources
• Experiment on platforms that are new to us — today we're on LinkedIn, YouTube, and X, but there's a lot of ground we haven't touched yet
• Create content for decks, presentations, and case studies, and brief the designer on new pages
   

You're probably a fit if you have

• 5+ years in content, ideally in B2B SaaS or product IT
• Real SEO expertise and experience writing content that ranks — and, ideally, gets cited by LLMs
• A portfolio with numbers behind it: traffic, engagement, conversions
• Fluency in B2B SaaS metrics and content-led funnels
• Advanced (C1+) English
• The self-organization to carry a piece from concept to release without being chased
   

One thing we care about deeply: we're an "Always Human" brand. We're very AI-friendly — use it to proofread, analyze, research, organize. But the writing and the voice have to be yours. If your portfolio reads like a model wrote it, we're not a match.
 

What you get

• Remote-first culture: work from wherever you think best
• A technically complex product with a name in the global SEO community — and the brands to prove it
• Subscriptions to every tool you need
• Full or partial compensation for courses and training
• Competitive salary in EUR, FOP taxes covered, 20 days of vacation + public holidays 

We are looking for a Technical Project Manager who is a genuine bridge between our software and hardware teams — not just a coordinator, but someone who understands both worlds well enough to add value in each direction. You will translate field test results into engineering tasks, help the Lead Architect research and validate solutions, and champion AI tooling across the team.
 

What We Offer

• A central role in mission-critical autonomous systems development for national defense.
• Direct collaboration with top-tier CV, embedded, and robotics engineers.
• Significant influence on technical direction and team culture.
• Freedom to explore and introduce AI tooling across the team's workflows.
• Competitive compensation aligned with expertise.
• Temporary exemption from military service for the duration of work on defense-critical projects.

Requirements

     Technical Background — Required

• 4+ years in software engineering; (CV/ML, technical lead, or architect role)
• Solid understanding of CV pipelines: detection, tracking, SLAM/visual odometry — enough to evaluate accuracy and latency trade-offs from field results.

• Python proficiency; C++ reading-level minimum.

   

  Will be a Plus

• Hands-on experience with ONNX, TensorRT, or quantization workflows.
• Experience with deep learning frameworks (PyTorch or TensorFlow) and model optimization workflows.
• Working knowledge of ROS — nodes, topics, services, inter-module communication.
• Familiarity with edge platforms (NVIDIA Jetson or similar) and real-time constraints.
• Familiarity with autopilot ecosystems (ArduPilot, Betaflight) — enough to read architecture docs and contribute to technical decisions.
• Sensor fusion experience (Camera + IMU + GPS).

Project & Communication Skills

• Proven ability to manage complex technical projects across multi-disciplinary teams.
• Able to take polygon/field test results and convert them into clear, prioritized engineering tasks.
• Comfortable working directly with a Lead Architect — receiving high-level requirements, researching solutions, presenting structured proposals.
• Proficient with Jira and Confluence — task tracking, sprint management, structured documentation.
• Strong written and verbal communication; comfortable leading design reviews and justifying trade-offs.

AI Tools & Mindset

• Active daily user of AI tools (Claude, Cursor, Copilot, or similar).
• Genuine drive to become an internal AI champion — introduce tools, identify new use cases, raise the bar for the whole team.

Responsibilities

• Own end-to-end delivery across multiple workstreams (autonomous drone, turret control, and future platforms): planning, tracking, risk management, reporting.
• Primary technical liaison between software (CV/ML, ROS) and hardware/embedded teams — translating requirements, surfacing blockers, resolving misalignments.
• Attend polygon and field tests; translate results — including HIL/SIL outcomes — into structured engineering feedback and task descriptions.
• Work with the Lead Architect to research new approaches; prepare structured proposals for architectural decisions.
• Coordinate module integration (optical guidance, servo control, ROS layers) — interfaces, latency requirements, milestones.
• Maintain project documentation: requirements, test reports, decision logs, vendor deliverable tracking.
• Introduce and evangelize AI tooling across engineering workflows.

Nice to Have

• Hands-on experience with autonomous drones, FPV, or UAS platforms.
• ArduPilot or Betaflight ecosystem experience.
• MLOps or model deployment pipeline experience.
• Experience managing vendor/partner relationships — RFP processes, deliverable tracking.
• Systems thinker — holds the full picture while diving into details when needed.
• High ownership; comfortable with ambiguity and fast-moving field environments.
• Surfaces problems early with proposed solutions, not just issues.
   

🔴 about the company
whiteout is an international media buying agency born in Ukraine, specializing in the gambling and betting verticals. backed by venture capital, they’ve already established digital activity across 30+ countries — from latam to southeast asia. at their core, they’re a team of passionate igaming experts. energetic, ambitious, and laser-focused on results — we move fast, think big, and never settle. if you’re hungry to grow and thrive in a high-performance environment, you’ll feel right at home with them.

🔴 the role
as we continue to grow, we’re looking for an Android Developer to join our team.
We’re ready to invest in your growth by providing mentorship, hands-on experience, and continuous learning opportunities.
 

🔴 what you will be working on

• assisting in the development of native Android applications and lightweight WebView-based apps;
• participating in the development and release of mobile applications under the guidance of senior team members;
• preparing application builds for Google Play publishing;
• integrating third-party SDKs and services (e.g. Firebase, AppsFlyer, Facebook SDK, OneSignal);
• collaborating with designers and developers to implement application features and UI updates;
• working with REST APIs and supporting client-server integrations;
• fixing bugs, improving application stability, and optimizing performance;
• participating in code reviews, testing, and the continuous improvement of the development process.
   

🔴 your background

• 6+ months of experience in Android application development (commercial experience, internships, or personal projects);
• basic understanding of the media buying ecosystem and an interest in the iGaming (gambling/betting) niche;
• hands-on experience with native Android development using Java or Kotlin;
• basic experience working with WebView;
• experience integrating or familiarity with SDKs such as Firebase, AppsFlyer, Facebook SDK, and OneSignal;
• understanding of REST APIs, OOP principles, and Android architectural patterns such as MVVM or MVP;
• basic knowledge of multithreading and dependency injection (DI);
  willingness to learn Google Play publishing and platform policies.
   

🔴 what we offer:

• flexibility and freedom: choose fully remote, hybrid, or office-based work yourself;
• strong team: work alongside some of the industry’s top talent;
• career development: take courses, attend top-notch conferences;
• health support: paid vacation and sick leaves, and access to a corporate psychologist;
• corporate culture: enjoy off site parties, team-buildings, sport events, and corporate gifts.
   

let`s talk.

About QOVES
QOVES is a technology company pioneering facial aesthetics, helping consumers make smarter beauty decisions. Every day, people make important decisions about their appearance based on guesswork or generic advice. We help them decide with clarity instead. Our platform gives customers a clear, science-backed understanding of their face, paired with bespoke advice on how they can look better. Our work reaches millions: more than 2.5 million people follow QOVES across platforms and most importantly, our customers are delighted, with 4.8 stars across 600+ reviews; we believe this reflects the care and sensitivity with which we approach everyone who comes to us for guidance. We're a profitable, growing company headquartered in London, with a team across the globe. What guides us is simple: people deserve more than one-size-fits-all advice when it comes to their appearance. Every decision we make (from the science behind our models to the way we communicate results) is grounded in evidence, responsibility, and a broad, inclusive understanding of beauty.

About the Role
You will join the backend team building the computer vision and machine learning systems that power QOVES's facial analysis platform. The non-negotiable is proven production experience: at least 3 years building scalable software in Python, with hands-on work shipping AI or ML features, including computer vision or LLM-based systems, into a live codebase. You will work closely with the AI Research team to translate research prototypes into production-ready code, own delivery end to end across analysis, design, coding, testing, deployment, and support, and optimise applications for performance and scalability as usage grows. You will also work with the wider team to spot problems early and resolve them before they become blockers.

What We're Looking For
• 3+ years of professional experience in production-level scalable software development with Python
• Strong proficiency with Python for building production-grade APIs
• Hands-on experience integrating AI or ML features, including computer vision or LLM-based systems
• Solid grasp of software architecture principles and API design, with the ability to contribute meaningfully to architectural decisions
• Experience owning work across the full software development lifecycle
• Strong sense of code quality, testing discipline, and engineering best practices
• Excellent communication skills, with the ability to articulate trade-offs and design decisions clearly
• A collaborative, proactive mindset with strong problem-solving skills

Nice to Have
• Knowledge of MLOps practices and experience with Data Version Control (DVC) or similar tools
• Knowledge of data pipelines, including designing production-grade GPU inference pipelines for high-throughput workloads
• Exposure to frontend or full-stack development
• Experience working in a startup or fast-paced product environment
• Experience building data pipelines or working with large-scale data processing

Why Join
• Build the computer vision and machine learning systems behind a product used by millions
• Fully remote with real autonomy and direct collaboration with the AI Research team
• A profitable, growing company with a global team

Compensation and Logistics
• Remote, full-time, open to applicants worldwide
• Compensation competitive, based on experience

Location: Remote (US/EU time-zone overlap required) 

Type: Full-time 

Reports to: Board of Directors

The role: 

UEX.US is a cryptocurrency exchange shipping Trading Pro, a savings/rewards product, and a payments stack. We move fast, and we ship. What we don't yet have is one person who owns the answer to: Is this product actually good, is it actually competitive, and does it actually do what we told users it does?

That's this job. You are the user's advocate inside the building and the quality gate for the devs.

This is an AI-first role: We are not hiring a product manager who occasionally uses ChatGPT. We are hiring someone who has rebuilt their entire working method around AI and produces the output of a four-person product team. If that isn't already how you work, this role will be uncomfortable, and you should not apply.

What you'll own:

- User feedback as a system. Discord, support tickets, app-store reviews, churn conversations — pulled in continuously, tagged, quantified by AI pipelines you build and maintain, turned into a ranked list nobody has to argue about. Anecdote becomes evidence, weekly, without a research team.

- Competitive intelligence, continuously. Binance, Kraken, Bybit, Coinbase, MEXC, Gate. Fees, spreads, listings, UX flows, onboarding friction, what they ship weekly. Automated monitoring and AI-generated teardowns — you should know what our competitors changed this week before they announce it.

- Test everything we already have. Every existing feature, hands-on, repeatedly — deposits, withdrawals, order types, KYC, rewards accrual, mobile. AI-assisted test scripts and regression checks where they help; your own hands where they don't. You find the breakage before users do.

- Promise integrity. Every claim on the site, in the app, in the ToS and in support macros must match what the product actually does. Where it doesn't, you flag it and drive it to zero. This is a regulated money services business — a UI label that overstates what a feature does is not a copy problem; it's an exposure.

- Priority discipline. You set the roadmap with the board, then you make it real: specs the devs can build from, acceptance criteria, sprint follow-through, and honest weekly status. Shipped-and-verified, not shipped.

- Metrics. Define them, instrument them, report them. Activation, retention, volume per active trader, support-ticket rate per feature.

## AI requirements — the hard bar

This section carries the most weight in our evaluation. You must be able to demonstrate, live, in the interview:

- Daily production use of frontier models (Claude, GPT, Gemini) as your primary working environment — not as a novelty, as the place your work happens.

- Prompt engineering at a professional level: structured prompts, XML/JSON output contracts, few-shot examples, chain-of-thought, evaluating and iterating on prompt quality rather than accepting first output.

- Building repeatable AI workflows, not one-off chats. Projects, custom instructions, saved prompt libraries, reusable analysis templates that a teammate could run.

- AI over large unstructured datasets: feeding thousands of support tickets, Discord messages and reviews into a pipeline that returns a defensible, quantified priority list — and knowing how to check that it didn't hallucinate the numbers.

- Agentic and tool-using AI: Claude Code, Cowork, MCP connectors, browser agents, or equivalent. Comfortable letting an agent run a multi-step task and reviewing its work.

- API-level literacy. You can call a model API directly, batch a job, chain calls, and estimate what a workflow costs before you run it. Light scripting (Python or JS) to glue things together.

- AI-assisted data work: natural-language querying over product data, generating SQL and validating it, building dashboards without waiting on an engineer.

- AI for spec and QA production: drafting PRDs, acceptance criteria, edge-case enumeration, test matrices, and user-facing copy — then editing hard, because the first draft is never the shipped one.

- Judgment about where AI fails. Hallucination, false confidence, stale knowledge, silent arithmetic errors. You verify anything that touches money, compliance language, or a user-facing promise. AI output that reaches a customer is your responsibility, not the model's.

- Discretion. You understand what customer data, KYC material, and internal financials may and may not be pasted into a third-party tool.

In the interview, you will screen-share your actual setup and run a real task in front of us: take a raw dump of feedback and produce a ranked, evidence-backed priority list, live. We are evaluating your workflow, not your vocabulary.

Who you are:

- 3+ years in product, ideally consumer fintech, trading, or crypto. Exchange experience is a strong plus.

- You've traded. You understand orderbooks, spreads, slippage, fee tiers, custody, and on-chain settlement well enough to argue with a trader and be right.

- SQL or equivalent; comfortable in analytics tools without waiting on an engineer.

- Obsessive about detail and unbothered about saying "this isn't ready."

- Written English strong enough to write specs and user-facing copy.

Nice to have: experience with a licensed/regulated platform, market-maker or API-trader relationships, design sense, Russian/Ukrainian or Spanish.

How we work:

Small team, no bureaucracy, decisions in hours, not weeks. You report directly to the board and work day-to-day alongside the engineers. AI tooling and API budget are provided — we expect them to be used.

Compensation is $2,500–$4,500/month during the 3-month remote test period, increasing to $6,000/month after relocating to Madrid.