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?? Help Us Revolutionize Love with AI!?? Tel Aviv, Hybrid
Hey there! We're Mylo AI, a revolutionary dating startup changing how people find love by matching them based on their authentic vibes. We're looking for a fantastic Senior backend Developer to join our adventure and make a real impact!
What You'll Do:
? Architect, develop, document, and TEST highly scalable cloud microservices
? Analyze the landscape of existing and upcoming solutions for continual improvement of Mylos cloud infrastructure
? Work with our data teams to analyze and prioritize the development and release of new features
? Upskill and investigate our architecture and AI technology

Required DevOps Engineer
Responsibilities:
Design and develop tools for managing and applying DevOps principles, such as CI/CD automation and IaC.(Infrastructure as Code) on our Cloud-based production systems.
Maintain and optimize the application layer of a multi-DC environment.
Manage various infrastructure applications - K8, Kafka, Redis, and others.
Deliver solutions, architectures, and automation Application.
Conduct research to bring innovative solutions to a complex environment to improve processes and tech stack.
Leading cross-functional projects and initiatives.
Application and infrastructure logging and monitoring solutions.
Join the on-call duty 24X7.

We are looking for a Director, Enterprise Project Office to join our fast-growing Enterprise Project Office team. Reporting to our VP, Enterprise Project Office, you will be supporting the team on multiple programs and projects from initial concept through launch, working closely with internal and external stakeholders to define objectives, create detailed project plans, manage budgets, and ensure delivery within agreed timelines. The Director will also manage EPO project professionals, providing guidance, support, and performance oversight.
The position requires deep technical expertise in payment processing platforms, proven experience as a technical project manager, and the ability to work effectively with product, engineering, and operational teams to deliver large-scale business transformation. Strong data strategy experience, including the ability to design and execute data-driven solutions that improve enterprise decision-making and operational performance, is critical. Experience in product management, engineering, or systems architecture is highly desirable.
The ideal candidate combines strong delivery management skills, technical depth, and the ability to connect strategy to execution. They will have a clear understanding of technical architectures, integration points, data flows, and operational dependencies that underpin mission-critical payment systems.
Key Responsibilities:
Lead delivery of complex initiatives across multiple programs, including digital payment platform implementations, upgrades, and client/platform migrations.
Define scope, goals, and deliverables in collaboration with senior leadership, product, engineering, and operations.
Develop and maintain comprehensive project plans aligned to strategic priorities, covering organizational and technical readiness, including architecture, integration, and data migration.
Integrate data strategy into project planning, ensuring data architecture, governance, and analytics capabilities are embedded in solutions.
Communicate progress, risks, and expectations clearly to stakeholders and executive sponsors.
Manage resource allocation and priorities across concurrent initiatives.
Mentor and guide EPO project professionals, ensuring accountability and high-quality delivery.
Oversee timelines, milestones, and deliverables using Agile, Waterfall, or hybrid methods.
Deliver executive-level reports, proposals, and presentations; manage scope changes, risks, and contingency plans.

We are looking for a Business Development Manager to join our fast-growing Commercial team. Reporting to our SVP Commercial Middle East & Africa, you will be supporting the team on accelerate the distribution of our products with a key focus on the fintech industry.
Responsibilities:
Establish an extensive pipeline of sales opportunities, manage the development of the pipeline, and accurately forecast sales to senior management.
Develop new sales strategies and identify high-value prospects - focus on selling our products to Ecom/Digital goods/Retail merchants.
Present large-scale technical products and innovative solutions to prospects at C-level.
Directly identify and develop new sales partnership programs with merchants.
International mindset and ability to coordinate cross countries' projects and intercept new opportunities from partners and industry regulatory changes
Strong pipeline management via Salesforce to ensure accurate forecast of performance and deliver consistent results among Tier1 prospects.

Were looking for a Senior Acquiring Product Manager whos eager to shape the future of global payments. In this role, youll lead the evolution of our acquiring capabilities - expanding our product portfolio, optimizing existing solutions, and helping merchants grow through smarter, more reliable payment experiences. This is a hands-on, cross-functional role where youll turn strategy into execution, partner with teams across the company, and see your ideas come to life.
Responsibilities:
Own the full product lifecycle - from concept and design to development, launch, and continuous improvement.
Transform business needs and customer feedback into clear PRDs and actionable user stories that balance MVP scope, time-to-market, and long-term growth.
Collaborate closely with R&D, analysts, finance, operations, compliance, and external partners to deliver high-impact solutions.
Actively participate in Agile ceremonies (standups, sprint planning, retrospectives) to keep teams aligned, motivated, and focused on delivering value.
Define success metrics and KPIs, monitor performance, and use data to drive product decisions and prioritization.
Conduct ongoing market and competitive research to identify new opportunities and emerging trends in acquiring and payments.
Partner with clients and end-users to understand their needs and translate insights into meaningful improvements.
Ensure all acquiring products meet global security, compliance, and regulatory standards.

We are looking for an OCC Monitoring Specialist to join our fast-growing OCC Monitoring team.
Reporting to our OCC Monitoring Team Leader, you will be responsible for monitoring the infrastructure, applications, and business aspects of the company. We provide the opportunity to become acquainted with the inner workings of the exciting world of Fintech and online payments. Many of our OCC Monitoring Specialists have been promoted internally and integrated into development, DevOps, and product teams.
This position doesn't include a hybrid mode; it only involves working from the office.
We work in 24/7 shifts: 08:00 to 17:00, 17:00 to 00:00, 00:00 to 08:00, including weekends and holidays.
Responsibilities:
Responding to events and various technical problems in real-time
Monitoring and liaising activities of the production environment, maintaining the company's monitoring systems, network, business transactions reports, and data analysis regularly
Tracking the events until problems are resolved, contacting the relevant parties in the organisation as needed
Data analysis and fault investigations.

We are seeking an experienced and visionary Data Science Team Lead to join our dynamic technology organization. The successful candidate will lead a team of talented data scientists, driving innovation and delivering business value through advanced machine learning techniques and Generative AI solutions. This role requires a strategic thinker with hands-on expertise in both traditional and cutting-edge data science methodologies, exceptional leadership skills, and a passion for continuous learning and development.
Responsibilities:
Lead, mentor, and develop a team of data scientists both methodologically and technically to deliver high-impact projects aligned with our business objectives.
Design, implement, and optimize classic machine learning models to solve complex business problems.
Apply gradient boosting techniques (e.g., XGBoost, LightGBM, CatBoost) to enhance predictive accuracy and model robustness.
Drive the exploration and integration of Generative AI applications, including Large Language Models (LLMs) to create innovative solutions for our products and services.
Collaborate with cross-functional teams (engineering, product, business) to translate business requirements into actionable data science projects.
Establish best practices for model development, validation, deployment, and monitoring in production environments.
Promote a data-driven culture, encouraging experimentation, sharing of knowledge, and adoption of state-of-the-art technologies.
Communicate project progress, insights, and results to stakeholders at all levels of the organization.