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Were looking for a highly technical Product Manager to join our team and own the full product life cyclefrom concept to deliveryensuring process flow optimization, seamless integration of new features and ongoing UIX performance improvement.
The ideal candidate should be ready to roll up their sleeves, delve deep into intricate details of the technology and product and thrive in a fast-paced, agile work environment. This is a great opportunity for a former developer looking to transition into product management.
Responsibilities
Understand, own and optimize the full customer journey
Collaborate with cross-functional teams for product development and enhancement
Own flow optimization & focus on UIX and product performance improvement
Monitor and analyze product performance metrics
Ongoing communication with customers.

We're looking for experienced and exceptional back-end JavaScript developers, with expertise in Node.js. MongoDB, Express, Kubernetes, RabbitMQ, Cassandra and Snowflake.
In this role, you will take full ownership of product and feature development, using cutting-edge technologies, in a fast-paced and professional agile environment.
Hybrid position for candidates located in Israel.
Responsibilities
End-to-end feature development, from conception to production.
Participate in system design and architecture planning, for optimal software performance.
Take on independent responsibilities, while contributing to the team's collective goals.
Actively learn, adapt and stay up-to-date with the evolving tech landscape, including best practices.

The person must have a strong understanding of the investment research process to create computer-based models that seek to predict movements of global financial markets. While prior finance experience is not required, a successful candidate must possess a strong interest in learning about finance and global markets. Candidates will have a research scientist mind-set; be a self-starter, a creative and persevering deep problem solver who is motivated by unsolved challenges.

Job Responsibilities (including, But Not Limited To, The Following)

Building algorithmic, computer-driven models
Conducting research on academic quantitative finance literature
Exploring and handling data
Applying an alignment of innovative methods in Applied Mathematics, Computer Science and Financial Economics.

We are seeking candidates with quantitative portfolio management experience and intimate knowledge of systematic strategies
Job Responsibilities (include, but not limited to the following)

Develop systematic strategies that use statistical signals associated with various market inefficiencies applied to a broad variety of asset classes including global equities and/or ETFs, futures
Lead, manage and grow quantitative investment portfolio
Contribute to broader firm research and strategic initiatives

The industry leader in the web data domain, is looking for students for a part-time Deploy position!
The position is part-time, in shifts that include nights and weekends.
Responsibilities
Monitor and support company servers in Linux
Release new features and updates on the server
QA (manual).

We are seeking a highly skilled and motivated Computer Vision & AI Developer with expertise in JavaScript, Python, OpenCV, OpenAI APIs, and YOLO (You Only Look Once) object detection models to join us, offers a unique and widely used VPN service that serves millions of users around the world, with a strong focus on privacy, performance, and innovation.
In this role, you will take full ownership of product and feature development, working closely with Product Managers and Designers to iterate quickly on A/B tests in a fast-paced, professional, and agile environment. We are a small team, but each engineer has a high degree of responsibility for the product they develop or maintain.
Responsibilities
Design and implement computer vision solutions using OpenCV and YOLO models for real-time object detection and image processing tasks.
Develop and maintain scalable applications using Python and JavaScript, integrating front-end and back-end components as needed.
Integrate OpenAI APIs into applications
Optimize and fine-tune YOLO models for specific use cases, including dataset preparation, training, and evaluation.

We are seeking for an experienced Go Developer, you will work on performance-critical backend services that power programmatic ad delivery, real-time bidding (RTB), and data synchronization. Youll be developing high-concurrency, low-latency services in Go, ensuring our systems stay reliable and fast even under heavy load.

Key Responsibilities:
Design and implement Go services for ad serving, bidding, auction logic, and user tracking at scale.
Work with real-time data streams, impression logging, and event pipelines.
Optimize systems for performance and throughput
Build caching layers and efficient data access strategies (e.g., using Redis, Memcached).
Collaborate with DevOps to ensure scalability, observability, and reliability of deployed systems.
Write unit and integration tests to validate service functionality and performance.

Our team is at the heart of driving AI innovation across the company, turning ideas and endless data into scalable solutions. We work closely with product and engineering teams to design, prototype, and scale AI-powered solutions that make a real impact.

What You'll Be Doing

Collaborate with engineers, data scientists, and product managers to ideate and implement new AI features
Drive the development of end-to-end ML workflowsfrom data ingestion and modeling to deployment
Develop, evaluate, and tune models using advanced metrics and optimization techniques.
Build architectures around Large Language Models and AI agents.
Promote knowledge sharing and collaboration.

A growing technology company in the financial sector is seeking for an experienced Full-Stack Developer to join our team. The role is approximately 70% frontend (client-side) and 30% backend (server-side), so strong UI skills are essential alongside solid backend experience. Youll work with JavaScript /TypeScript frameworks, cloud services, and database systems. Key Responsibilities:
* Develop dynamic and responsive UIs using React with TypeScript TailwindCSS, and MUI
* Implement state management with Redux Toolkit
* Build and maintain backend services and APIs using Nest.js
* Work with databases including: NoSQL: MongoDB, Redis; Relational: PostgreSQL (or similar)
* Containerize applications with Docker (Kubernetes is a plus, not required)
* Work with AWS cloud services for hosting, Storage, and infrastructure
* Collaborate in setting up and maintaining CI/CD pipelines.

We are seeking a very technical and experienced, first-on-the-ground Cloud FinOps Engineer / Lead to build, shape, lead and scale the FinOps function from scratch.
In this role, you will manage and optimize a multi-million-dollar cloud budget across a range of providers such as AWS, DigitalOcean, Vultr, Snowflake, Cloudflare, and more.
Reporting directly to the COO, this hands-on role will focus on observability, optimization and implementation, reporting and forecasting, and on budgeting.
The ideal candidate has a very strong technical understanding, a DevOps / R&D background, and a proven track record of reducing cloud costs, with the ability to thrive in a collaborative, yet a fast-paced, environment, working closely with cross-company teams.
Responsibilities
Observability:
-Implement and maintain cloud cost observability tools and practices to ensure visibility into resource usage, spending patterns, and cost drivers across cloud environments.
Cloud Cost Management / Monitoring & Alerting:
-Monitor and analyze cloud spend across multiple platforms by setting up and managing cost-related monitoring and alerting systems to proactively detect anomalies, unexpected spikes and inefficient resource usage.
Optimization and Implementation:
-Develop and implement cost-saving measures and strategies to optimize cloud usage and reduce costs, while ensuring performance reliability (rightsizing resources, adjusting storage tiers, leveraging spot instances, etc.).
-Continuously review cloud architecture and usage patterns to identify and implement efficiency improvements.
Reporting and Forecasting:
-Develop regular reports on cloud expenditure, usage trends, and cost-saving initiatives.
-Provide accurate cloud budget forecasts and perform variance analysis for executive leadership.
Collaboration:
-Partner with procurement teams to support vendor negotiations by providing detailed usage data and cost insights.
-Work closely with DevOps, R&D and Product teams to align resource allocation with business objectives.