Jobs at Djinni

We are seeking an experienced influencer marketing specialist to lead our promotional campaigns within the US dietary supplement market.

The ideal candidate will be responsible for:

• researching potential influencers, 
• establishing communication, 
• managing influencer relationships to maximize sales, brand visibility, and engagement.

Your expertise will be crucial in selecting influencers that align with our brand and driving compelling campaigns that resonate with our target audience.

Employment: remote, part-time(with full-time perspective)

Requirements:

• proven experience in running and executing influencer campaigns in the US market 
• English B2 or higher
  experience with manual research and UGC/influencers platforms
• strong analytical skills 
• experience with Creator Connections(Amazon, TikTok) will be a plus
• experience in the dietary supplements niche will be a plus 

What we offer:

• competitive salary 
• paid holidays, sick leaves, personal days
• flexible and friendly working environment

Are you passionate about building large-scale cloud data infrastructure that makes a real difference? We are looking for a Senior Data Engineer to join our team and work on an impactful healthcare technology project. This role offers a remote work format with the flexibility to collaborate across international teams.

At Sigma Software, we deliver innovative IT solutions to global clients in multiple industries, and we take pride in projects that improve lives. Joining us means working with cutting-edge technologies, contributing to meaningful initiatives, and growing in a supportive environment.

CUSTOMER
Our client is a leading medical technology company. Its portfolio of products, services, and solutions is at the center of clinical decision-making and treatment pathways. Patient-centered innovation has always been, and will always be, at the core of the company. The client is committed to improving patient outcomes and experiences, regardless of where patients live or what they face. The Customer is innovating sustainably to provide healthcare for everyone, everywhere. 

PROJECT
The project focuses on building and maintaining large-scale cloud-based data infrastructure for healthcare applications. It involves designing efficient data pipelines, creating self-service tools, and implementing microservices to simplify complex processes. The work will directly impact how healthcare providers access, process, and analyze critical medical data, ultimately improving patient care.

Responsibilities:

• Collaborate with the Product Owner and team leads to define and design efficient pipelines and data schemas
• Build and maintain infrastructure using Terraform for cloud platforms
• Design and implement large-scale cloud data infrastructure, self-service tooling, and microservices
• Work with large datasets to optimize performance and ensure seamless data integration
• Develop and maintain squad-specific data architectures and pipelines following ETL and Data Lake principles
• Discover, analyze, and organize disparate data sources into clean, understandable schemas

Requirements:

• Hands-on experience with cloud computing services in data and analytics
• Experience with data modeling, reporting tools, data governance, and data warehousing
• Proficiency in Python and PySpark for distributed data processing
• Experience with Azure, Snowflake, and Databricks
• Experience with Docker and Kubernetes
• Knowledge of infrastructure as code (Terraform)
• Advanced SQL skills and familiarity with big data databases such as Snowflake, Redshift, etc.
• Experience with stream processing technologies such as Kafka, Spark Structured Streaming
• At least an Upper-Intermediate level of English 

About the Role
 

We are looking for a Senior Backend Engineer (Go / Golang) to join our team for a long-term product development project.

The frontend team (3 developers) is already formed. We are now strengthening the backend side.

This is a hands-on development role focused on building scalable APIs and backend services.
 

Responsibilities

• Develop backend services using Go (Golang)
• Design and implement REST APIs
• Work with PostgreSQL databases (schema design, optimization)
• Integrate third-party services
• Implement authentication & authorization (JWT, OAuth)
• Optimize performance and improve system reliability
• Collaborate closely with the frontend team
• Participate in technical discussions and estimations

Requirements

• 4+ years of commercial experience
• 3+ years of experience with Go (Golang)
• Experience with Gin, Echo, Fiber or similar Go frameworks
• Strong experience building REST APIs
• Experience with PostgreSQL
• Understanding of concurrency (goroutines, channels)
• Experience with Docker
• Experience with AWS (EC2, RDS, S3)
• Experience with Git
• Understanding of CI/CD processes

Nice to Have

• Redis
• Kafka / RabbitMQ
• Microservices architecture
• Kubernetes
• Experience with SaaS or marketplace products
• Swagger / OpenAPI
• Unit testing in Go

What We Offer

• Long-term full-time engagement
• Stable workload
• Product development from early stages
• Direct communication, no bureaucracy
• Opportunity to grow within the project

Position Overview

As a Game Mathematician, you will own the mathematical design of our gaming systems — from core probability models to long-term behavioral dynamics of the game.

You will shape RTP, volatility curves, hit frequency, payout distributions, risk balance, and overall economic sustainability of each title.

This role requires deep theoretical knowledge, practical simulation skills, and the ability to collaborate closely with producers, designers, engineers, and compliance teams.

Responsibilities

• Develop and maintain detailed mathematical models for Slots, Crash Games, and Fast Games.

• Design and balance RTP, volatility, hit frequency, paytables, game curves.

• Model stochastic processes and RNG logic, ensuring correctness and predictability.

• Calculate probabilities and payout distributions across long-run simulations.

• Conduct large-scale simulations and statistical analysis of game behavior.

• Balance risk, retention, and economic KPIs of the product.

• Collaborate with producers to create optimal player experience.

• Work closely with engineers to validate correct technical implementation.

• Contribute to game logic design and innovative mechanics.

• Conduct competitive analysis of game mathematics and market trends.

• Participate in playtests and analyze real in-game behavior post-launch.

• Prepare complete mathematical documentation for certification and regulators.

Requirements

• Strong knowledge of probability theory, combinatorics, and mathematical statistics.

• Experience in slot or gambling game mathematics (3+ years).

• Practical experience designing and balancing RTP, volatility, and payout structures.

• Experience with stochastic modeling and simulations.

• Programming skills (Python, R, C++, MATLAB, or similar).

• Ability to clearly communicate mathematical decisions to cross-functional teams.

• English — Intermediate or higher.

Would Be a Plus

• Experience with crash or fast game mechanics.

• Experience with competitive math research.

• Understanding of player behavior and retention impact.

• Experience interacting with certification bodies and regulators.

What We Offer

• Direct influence on product economics and player experience.

• Real ownership of game mathematics and long-term performance.

• Competitive compensation.

• Professional growth inside a product-driven gambling studio.

• Flexible working format.

• Strong, collaborative team environment.

We're looking for a Lead Generator who is proactive, driven, and ready to grow with the FuturiX Solutions team 📈

If you enjoy communication and outreach, and want to build a career in B2B sales - we'd love to meet you.

🛠️ Key Responsibilities:

🔹 LinkedIn outreach via multi-step campaigns to schedule calls with potential clients

🔹 Track outreach metrics and continuously optimize campaigns

🔹 Qualify, nurture, and segment leads based on ICP

🔹 Meet monthly KPIs and align with team priorities

🔹 Collaborate with the Sales Team and provide regular updates

🔹 Build and maintain lead databases: analyze, verify, and segment.

📋 Requirements:

🔹 Organizational and time management skills with a results-driven mindset

🔹 Basic understanding of lead generation principles

🔹 Basic familiarity with B2B sales concepts or entry-level experience

🔹 Willingness to follow structured outreach workflows

🔹 Basic experience with CRM tools or lead-tracking systems

✨ Nice-to-Haves:

🔹 Prior experience in lead generation or sourcing

🔹 Interest in fintech, blockchain, SaaS

🔹 Existing professional network is a plus

🌱 Why Join Us?

🔹 Collaborative Team Culture – supportive, innovative environment that values mentorship and teamwork

🔹 Flexible Work Setup – remote-friendly and focused on work-life balance

🔹 Growth-Oriented Environment – continuous learning and professional development

🔹 Exciting Projects – work with clients across diverse industries

🔹 Real Impact – your work directly drives the growth and success of FuturiX Solutions 🌍

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the client and role:
We are looking for an experienced Electronic Engineer to join a team and help develop and support innovative products and systems. In this role, you will work with a variety of teams that are involved in engineering, product development, implementation, and contract manufacturing. The ideal candidate is a specialist in low/medium power electronics (power supplies, converters, etc.) and analog circuit design.

Responsibilities:
- Development of battery powered devices, power models and highly efficient power supply systems
- Development of high-precision measurement systems
- Review and analyze digital and analog schematics, layouts, timings, signal integrity and consumption, carry out measurements and analyze results
- Research solutions to complex technical problems under specific constraints, recommend viable and cost-effective approaches
- Validate and troubleshoot devices through development and prepare related reports
- Work closely with other engineering groups (i.e. RF / Mechanical / Firmware engineering)
- Write required documentation

Requirements:
- BS degree or higher in Electronics or related field
- Proven experience in the field of electronic device development
- Deep knowledge of analog circuitry, experience in developing high-efficiency low-power power supplies
- Deep knowledge of the principles of building high-precision voltage measurement systems
- Deep understanding of electrical engineering standards and specifications
- Experience working with power harvesting, low power electronics, and battery powered electronics
- Design and troubleshooting skills for power electronics
- Good written and spoken English

Nice to have:
- Experience in developing microcontrollers based embedded systems, C (C++) programming
- Experience in developing projects using CAD Altium Designer

The company offers:
- The environment of equal opportunities, transparent and value-based corporate culture and an individual approach to each team member
- Competitive compensation and perks. Annual performance review
- Gig-contract
- 21 paid vacation days per year, paid public holidays according to the Ukrainian legislation
- Development opportunities like corporate courses, knowledge hubs, and free English classes, as well as educational leaves
- Medical insurance is provided from day one. Sick leaves and medical leaves are available
- Remote working mode is available within Ukraine only
- Free meals, fruits, and snacks when working in the office.

Project: Multi‑Agent AI System in the Automotive Sector
 Location: 100% Remote (On-site onboarding in Munich possible)
 Workload: Full-time (100%)


Project Context
A strategic AI initiative in the automotive sector aims to transform an existing single-agent prototype into a robust, production-ready multi-agent vehicle configurator within a Microsoft/Azure-based enterprise environment.
 Focus is on designing a scalable and secure multi-agent architecture with defined orchestration, deterministic behavior, high performance (<2–4 sec latency), and enterprise-grade integration.

Project Objectives

• Build a multi-agent architecture (orchestrator + specialized agents)
• Prepare a production-ready Azure implementation
• Achieve performance targets (<2–4 seconds latency)
• Implement guardrails & prompt-injection protection
• Ensure clean API integrations and orchestration
• Establish enterprise-level observability, security & monitoring

Responsibilities
The Senior AI Engineer will take a leading architectural and hands-on implementation role:

1. Refactor the existing single-agent prototype into a multi-agent system
2. Design and document a structured orchestration graph
3. Implement strict tool permissioning and scope control
4. Manage deterministic loops, retries, and fallback logic
5. Build a robust session & state model
6. Integrate external APIs with resilient error handling
7. Implement telemetry & monitoring hooks across agents
8. Optimize latency and reduce unnecessary tool calls
9. Implement guardrails (prompt-injection prevention, output validation)
10. Communicate architectural decisions clearly to stakeholders

Technical Requirements (Must-Have)
Core AI / LLM Engineering

• Function Calling, JSON Schema outputs
• Multi-agent system design (orchestrator + experts)
• Retry logic, fallback strategies, healing loops
• Guardrails: prompt-injection protection, scope control, output validation

Backend Engineering

• Python (ideally FastAPI), Async IO, Pydantic
• Production-grade API design (timeouts, retries, logging, error handling)
• Versioned schema & interface contracts
• Multi-API integrations with robust error-handling patterns

Azure Production Setup

• Azure Foundry
• Managed Identity
• Key Vault
• Log Analytics / Application Insights
• Understanding of private endpoints, API Gateway & enterprise security
• Solid grasp of enterprise deployment & monitoring practices

Architecture & Systems Thinking

• Orchestration graph design & documentation
• Session/state model concepts
• Latency budgets, performance awareness
• Ability to determine when deterministic logic > LLM-based logic

Nice-to-Have

• MCP experience
• Constraint systems
• Recommendation systems

Candidate Requirements

• Senior-level experience in AI engineering
• Strong system and architecture thinking
• Ability to document complex relationships clearly
• Previous experience in near-production enterprise environments
• Clear, precise communication

Soft Skills

• Structured, analytical working style
• High personal responsibility
• Architecture-driven, solution-oriented mindset
• Strong communication with technical & non-technical stakeholders

GlobalLogic is searching for a motivated, results-driven, and innovative software engineer to join our project team at a dynamic startup specializing in pet insurance. Our client is a leading global holding company that is dedicated to developing an advanced pet insurance claims clearing solution designed to expedite and simplify the veterinary invoice reimbursement process for pet owners.

You will be working on a cutting-edge system built from scratch, leveraging Azure cloud services and adopting a low-code paradigm. The project adheres to industry best practices in quality assurance and project management, aiming to deliver exceptional results.

We are looking for an engineer who thrives in collaborative, supportive environments and is passionate about making a meaningful impact on people’s lives. If you are enthusiastic about building innovative solutions and contributing to a cause that matters, this role could be an excellent fit for you.

Requirements

• 6+ years of software development experience with the .NET platform (ASP.NET Core, C#)
• Strong experience building and consuming REST APIs (OpenAPI, FluentValidation)
• Knowledge of OAuth 2.0 flows is a plus
• At least 2+ year of proven experience with Azure Cloud services (Service Bus, Azure Functions, CosmosDB)
• Hands-on experience with front-end development in React (TypeScript, state management)
• Hands-on experience with adaptive design
• Solid understanding of client-server application design and asynchronous programming
• Experience with CI/CD pipelines in Azure DevOps or equivalent tools
• Knowledge of containerization (Docker, Kubernetes) is a strong plus
• Familiarity with low-code/no-code integrations (Power Apps, Power Automate) is desirable
• Experience with Azure ML/AI services, document recognition, or data-driven workflows is an advantage
• Proficiency in debugging, refactoring, and clean code design
• Strong analytical skills with ability to ramp up quickly in new domains
• Good written and verbal communication skills in English (Upper-Intermediate+)

Job responsibilities

• Design and implement cloud-native applications leveraging Azure Functions, Service Bus, and CosmosDB
• Develop front-end applications in React, ensuring responsive UI and seamless integration with back-end services
• Build and maintain microservices and APIs that integrate with multiple systems, including D365 and data platforms
• Collaborate with stakeholders to define and negotiate API contracts and ensure reliable system integrations
• Implement data processing and workflow services with a focus on scalability, performance, and resilience
• Contribute to the design of low-code solutions integrating Azure ML/AI services for automation (e.g., document recognition, intelligent data extraction)
• Participate in planning, estimation, and architecture discussions, providing technical guidance
• Debug and resolve issues of various complexities across the stack
• Work closely with DevOps and QA to ensure CI/CD pipelines, automated testing, and deployment processes are efficient and robust
• Follow coding standards and contribute to continuous improvement initiatives within the development team

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role: 
We're seeking a skilled C/C++ Embedded Engineer to take ownership of critical software components in client’s camera-based security devices. This role involves maintaining existing products through comprehensive debugging and bug fixing, as well as developing innovative new features.

Responsibilities:
- Design, develop, and maintain high-quality embedded software in C/C++ for camera-based security devices.
- Debug and resolve complex software, hardware, and network connectivity issues across the entire software stack.
- Develop new features and improve existing codebases for the product line.
- Optimize software performance for resource-constrained embedded environments.
- Conduct code reviews and provide technical mentorship to team members.
- Participate in architecture discussions and technical decision-making processes.
- Collaborate with QA teams to develop comprehensive testing strategies.
- Document software designs, APIs, libraries, and troubleshooting procedures.

Requirements:
- At least 5+ years of commercial experience in embedded development, with expertise in C/C++ (C++17 standard) and deep knowledge of RTOS and microcontroller architectures (ARM, RISC-V).
- Proficiency in the full SDLC, including professional engineering practices like Git, CMake, code reviews, and continuous integration.
- Solid understanding of network programming and experience with multithreading on multicore microcontrollers.
- Expertise in communication interfaces (I2C, SPI, UART, and Wi-Fi) and experience writing device drivers and libraries.
- Ability to work independently and take ownership of complex projects.
- Excellent communication skills for technical discussions and documentation, with a collaborative mindset for cross-functional team environments.
- At least an Intermediate level in both written and spoken English (B1).

Nice to have:
- Understanding of security protocols and encryption methods
- Experience with Python for scripting and automation
- Experience using AI-powered tools to enhance productivity and code quality

The company offers:
- The environment of equal opportunities, transparent and value-based corporate culture, and an individual approach to each team member
- Competitive compensation and perks. Annual performance review
- Gig-contract
- 21 paid vacation days per year, paid public holidays according to Ukrainian legislation
- Development opportunities like corporate courses, knowledge hubs, and free English classes, as well as educational leaves
- Medical insurance is provided from day one. Sick leaves and medical leaves are available
- Remote working mode is available within Ukraine only
- Free meals, fruits, and snacks when working in the office.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with the organization of the first Data Science UA conference, setting the foundation for our growth. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Computer Vision / Machine Learning Engineer to develop offline CV models for industrial visual inspection.

Your main task will be to design, train, and evaluate models on inspection data in order to:

• Improve discrimination between good vs. defect samples
• Provide insights into key defect categories (e.g., terminal electrode irregularities, surface chipping)
• Significantly reduce false-positive rates, optimizing for either precision, or recall
• Prepare the solution for future deployment, scaling, and maintenance
•  

Key Responsibilities:
Data Analysis & Preparation
- Conduct dataset audits, including class balance checks and sample quality reviews
- Identify low-frequency defect classes and outliers
- Design and implement augmentation strategies for rare defects and edge cases
Model Development & Evaluation
- Train deep-learning models on inspection images for defect detection
- Use modern computer vision / deep learning frameworks (e.g., PyTorch, TensorFlow)
- Evaluate models using confusion matrices, ROC curves, precision–recall curves, F1 scores and other relevant metrics
- Analyze false positives/false negatives and propose thresholds or model improvements
Reporting & Communication
- Prepare clear offline performance reports and model evaluation summaries
- Explain classifier decisions, limitations, and reliability in simple, non-technical language when needed
- Provide recommendations for scalable deployment in later phases (e.g., edge / on-prem inference, integration patterns)

Candidate Requirements:
Must-have:
- 1-2 years of hands-on experience with computer vision and deep learning (classification, detection, or segmentation)
- Strong proficiency in Python and at least one major DL framework (PyTorch or TensorFlow/Keras)
- Solid understanding of:

• Image preprocessing and augmentation techniques
• Classification metrics: accuracy, precision, recall, F1, confusion matrix, ROC, PR curves
• Handling imbalanced datasets and low-frequency classes

- Experience training and evaluating offline models on real production or near-production datasets
- Ability to structure and document experiments, compare baselines, and justify design decisions
- Strong analytical and problem-solving skills; attention to detail in data quality and labelling
- Good communication skills in English (written and spoken) to interact with internal and client stakeholders

Nice-to-have:
- Experience with industrial / manufacturing computer vision (AOI, quality inspection, defect detection, etc.)
- Familiarity with ML Ops/deployment concepts (ONNX, TensorRT, Docker, REST APIs, edge devices)
- Experience working with time-critical or high-throughput inspection systems
- Background in electronics, semiconductors, or similar domains is an advantage
- Experience preparing client-facing reports and presenting technical results to non-ML audiences

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- 40 days of PTO;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

Data Science UA is a service company with strong data science and AI expertise. Our journey began in 2016 with uniting top AI talents and organizing the first Data Science tech conference in Kyiv. Over the past 9 years, we have diligently fostered one of the largest Data Science & AI communities in Europe.

About the role:
We are looking for a Python Software Engineer to join our team and help us build an on-premise software pipeline for real-time computer vision. The system ingests camera streams (primarily RTSP), stores frames in a shared data layer, runs CV/AI engines for preprocessing and inference, applies inference logic to produce decisions, and sends results to Database/Portal/Alerting/Control integrations.

Responsibilities:
- Build and maintain the Camera Module to reliably ingest RTSP streams, decode frames, and handle reconnect/keep-alive/packet loss.
- Implement the Shared Data layer for raw and processed frame exchange across processes with backpressure and safe lifecycle management.
- Integrate and operate CV/AI Engines in Python (preprocess, inference, postprocess) with configurable model loading and runtime selection.
- Develop the Inference Logic layer that orchestrates cropping, batching, filtering, classification, and decision output formatting.
- Implement connectors for Database & Portal (event persistence, evidence references) and for Alerting & Control (events/hooks for downstream automation).
- Ensure production readiness on Linux with observability (logs/metrics), health checks, and robust error handling.

Requirements:
Must-have:
- Strong Python, OOP, clean architecture, typing preferred.
- Solid experience with multiprocessing/concurrency (process lifecycle, IPC patterns, queues/shared memory).
- Comfortable working in Linux (systemd/service mindset, networking basics, profiling/debugging).
- Familiarity with CV/AI tooling, and some related Python libraries such as numpy, opencv (cv2), and torch or tensorflow.
- Ability to work with streaming data and reliability constraints (timeouts, retries, resource cleanup).
Should-have:
- Experience with RTSP/RTP streaming and common issues (UDP vs TCP interleaved, jitter, packet loss, camera timeouts).
- Performance optimization (profiling, memory management, zero-copy patterns).
- Exposure to inference acceleration stacks (TensorRT/OpenVINO) or GPU deployment.
- Experience designing event schemas and integration with DB/message queues.

We offer:
- Free English classes with a native speaker and external courses compensation;
- PE support by professional accountants;
- Medical insurance;
- Team-building events, conferences, meetups, and other activities;
- There are many other benefits you’ll find out at the interview.

About Flamingo

Flamingo is revolutionizing the Managed Service Provider (MSP) industry with an AI-driven, open-source platform for IT and security. Our goal is to empower MSPs with automation, optimization, and scalability tools to enhance their operations.

Role Overview
This role is focused on building a software-as-a-service product, with additional support for local installations. You will take ownership of designing and implementing the cloud infrastructure in the early stages of deployment, setting the foundation for how the platform will operate. The product is fully Kubernetes-based, so strong expertise in cluster management, automation, and container orchestration is essential. Because the system is high-load, ensuring reliability is the top priority. In addition, a significant part of the role involves contributing to an open-source product, developing features that benefit both the community and the platform itself.

Key Responsibilities

• Design and maintain cloud infrastructure in GCP or AWS, covering compute, storage, networking (VPCs, subnets, routing), IAM, and managed databases, using Terraform.
• Operate and manage Kubernetes clusters, including cluster administration, workload orchestration, ingress/gateway configuration, and developing custom Helm Charts.
• Build and maintain CI/CD pipelines with GitHub Actions, ArgoCD, following GitOps practices for consistent deployments.
• Implement monitoring, logging, alerting, and tracing with Prometheus, Loki and Grafana, ensuring system observability and reliable incident response.
• Design and secure cloud networking, including VPC architectures, load balancers, service meshes, and Bastion host access, while applying strong security practices.
• Collaborate with engineering teams to refine deployment strategies, improve reliability, and support smooth delivery of new features.

Qualifications

Must-Have

• Kubernetes – strong expertise in cluster administration, workload orchestration, and GitOps practices; ability to write and maintain custom Helm Charts.
• Terraform – proven experience managing infrastructure as code and operating environments on GCP.
• Cloud platforms – solid knowledge of GCP or AWS core services, including compute, storage, and managed databases.
• Cloud networking – experience with VPCs, subnets, routing, firewalls, and load balancers, ensuring secure and reliable connectivity.
• Infrastructure security – practical experience with IAM, secrets management, TLS, encryption, and policy enforcement in production environments.
• CI/CD workflows – experience building and maintaining pipelines with GitHub Actions/GitLab CI and ArgoCD/FluxCD.
• Databases and messaging – operational knowledge of Postgres, MongoDB, Redis, and streaming platforms such as Kafka.
• Observability – hands-on use of Prometheus, Grafana, Loki, and similar tools for monitoring, alerting, and tracing.
   

Nice-to-Have

• Experience with serverless architectures and event-driven systems, such as AWS Lambda, Cloud Functions, or Pub/Sub triggers.
• Experience contributing to or maintaining open-source products.
• Relevant certifications would be a plus

Why Join Flamingo?

• High-impact role: Make a direct impact on the stability and scalability of our AI-driven platform.
• Ownership & Equity: Competitive compensation, including significant equity in an early-stage, high-growth startup.
• Innovative Tech Stack: Work with cutting-edge AI, security, and cloud technologies.
• Remote-first Culture: Flexibility to work from anywhere while collaborating with a top-tier team.
• Mission-Driven Company: Join a team passionate about disrupting the MSP industry and making enterprise-grade security and IT automation accessible to all.

We’re building and scaling a high-volume, performance-driven newsletter portfolio and are looking for a Senior Email Marketing Manager to fully own newsletter growth, engagement, and monetization.

This role is for someone who understands newsletters as a revenue channel, not just a publishing task.

You’ll work closely with authors, AI writers, designers, and monetization partners to ensure every send is optimized for opens, clicks, and revenue, while maintaining strong editorial quality.

Your primary mission:
 

Key Responsibilities

Email & Newsletter Performance Ownership

• Own end-to-end newsletter strategy, publishing, and optimization
• Optimize subject lines, preheaders, layouts, CTAs, and content flow
• Maintain consistent, high-quality publishing schedules across all newsletters
• Review, QA, and approve all outgoing content before sending

 Monetization & Advertising Optimization

• Integrate ads natively within newsletters to maximize CTR and revenue
• Test ad placements, formats, and messaging without harming reader trust
• Analyze performance and continuously improve monetization strategy

Scaling & Team Leadership

• Collaborate closely with writers, AI tools, designers, and growth teams
• Build repeatable processes, guidelines, and quality standards
• Provide weekly performance insights and improvement recommendations
   

Requirements

• Strong experience in email marketing
• Deep understanding of email performance metrics: open rate, CTR, conversions, revenue per send
• Hands-on experience managing multiple email campaings at scale
• Comfortable using AI tools
• Strong editorial and layout instincts (formatting, hierarchy, readability)
• Excellent organization — able to manage 15–20+ newsletters simultaneously
• Strong QA mindset: zero tolerance for broken links, typos, or formatting errors
• High level of English: C1
   

Nice to Have

• Experience with platforms like Beehiiv, Substack, Ghost
• Experience working with ad monetization, sponsorships, or affiliate content
• Background in content-led growth or digital publishing
• Experience scaling multiple content brands or media products

effie is an AI-powered platform that ensures compliance with internal standards and agreements between producers, distributors, and retailers regarding product placement and promotions. Our purpose is to align consumer needs, the producer's vision and retail execution.

• 130+ team members
• 100+ clients across 13 countries, including PepsiCo, Coca-Cola, Nestlé, Shell, Nemiroff, Philip Morris, and others
• 27,000+ users of our services
• Microsoft Gold Partner

What We Value:

• Passion - You can only make customers happy if you truly love what you do
• Trust - The foundation of all relationships, inside and outside the company
• An Eye for Excellence - A deep appreciation for quality in every form
• Simplicity - The best things don’t need extra explanation

We are looking for a high-energy, AI-native Digital Marketing Manager to own and scale our digital growth engine. This is a hands-on role with clear ownership across AI-driven content creation, campaign execution, CRM & analytics, and website & SEO. You will turn complex AI and SaaS capabilities into clear digital stories that drive engagement, pipeline, and revenue.
AI is a default way of working in this role, not an add-on.

Requirements:
 

• 5+ years in B2B SaaS digital marketing, ideally AI or data-driven products
• Proven hands-on experience with content creation (demos, videos, onepagers, etc.)
• English – upper intermediate
• Strong command of campaigns, ABM, CRM, analytics, and SEO
• AI-native mindset with high execution speed and ownership

Core Responsibilities:

1. AI-Powered Content Creation

• Create and scale demos, videos, explainers, and digital product stories using AI-powered video tools and visual design platforms like Canva and Figma

• Rapidly iterate, personalize, and optimize content based on performance

   

2. Campaign Development & Execution

• Plan and run integrated campaigns: webinars, ABM, paid, and launches

• Align closely with Sales and Product on ICPs, buying groups, and deals

   

3. CRM, Marketing Automation & Analytics

• Own CRM, automation, attribution, and performance dashboards

• Optimize campaigns and content using data and AI-driven insights

   

4. Website, Social Media, Business Catalogue, SEO

• Own website performance, conversion, SEO, AI search strategy
• Ensure clear value messaging and strong demand capture
• Own content strategy and execution in social media and business catalogues (G2, Chrunch)

What we offer
 

• Flexible work model: remote-first, with an office in Kyiv (15 minutes from Sviatoshyn metro station) equipped with a shelter and full backup for uninterrupted work during outages
• Free parking for cars, motorcycles, and bicycles
• Partial reimbursement for medical insurance after successful probation
• 21 paid vacation days, paid sick leave, plus 12 additional days off per year
• Exclusive discount card for the WineTime retail chain
• A key role in a high-impact transformation company working with AI-native products
• Real freedom to shape the brand, experiments, and growth initiatives
• An experienced, open-minded team with global growth ambition
  
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We are helping one of our product partners build a core AI-driven advertising platform and are looking for an AI Creative Strategist to join their internal team. The product is an autonomous advertising system where AI agents create, launch, and optimize campaigns at scale. The long-term goal is to move beyond rule-based decisions toward a system that learns and improves performance over time.

Creative strategy is one of the highest-leverage inputs in the product: a single improvement in prompt logic can affect thousands of campaigns instantly. While the system can already generate ads autonomously, it needs clear creative signals and hypotheses to guide learning and optimization. Your work provides this signal layer and directly feeds into the ML optimization loop.

Responsibilities

• Design, test, and iterate prompt logic for AI agents across strategy, copy, keywords, compliance, visuals, and optimization
• Continuously analyze competitor activity using spy tools and translate winning patterns into structured prompts
• Formulate and test multiple creative hypotheses weekly and evaluate their impact on performance metrics
• Analyze campaign performance data to identify which creative angles and patterns drive sustainable ROI
• Build and maintain a prompt library of validated creative patterns, structured by vertical and geography
• Work closely with the ML Engineer to align creative signals with prediction models, reward functions, and optimization logic
   

Must-have requirements

• Degree in a quantitative or analytical field such as Mathematics, Economics, or Marketing with a strong analytics focus
• 3+ years of hands-on experience in digital advertising (native ads, Facebook Ads, Google Ads, etc.) with a deep understanding of CPC, CTR, ROMI, and RPC
• AI-native working style with daily use of LLMs and generative tools such as Claude, ChatGPT, Gemini, Midjourney, or similar
• High hypothesis velocity with a focus on systematic testing rather than isolated execution
• Strong analytical thinking with the ability to review large datasets and extract creative patterns that differentiate high-performing campaigns
• Ability to design multi-step prompt chains where the output of one agent becomes the input for another

Nice to have

• Proficiency with competitive intelligence and spy tools such as AdPlexity, Anstrex, or SpyFu
• Experience writing LLM prompts in production environments, including system prompts and few-shot prompting
• Basic SQL or data querying skills
• Familiarity with tracking platforms such as Binom or Voluum
   

Language requirements
English at Upper-Intermediate level or higher. Code, prompts, and data are the primary working languages. No client-facing communication is required.