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We are looking for a Data Product Manager to own data as a scalable product.
This role sits at the intersection of Business, Data, and Technology, ensuring that core company KPIs and data assets are designed once, governed, and reused consistently across the organization.
The Data Product Manager leads discovery, prioritization, and design of data products, enabling scalable, decision-grade analytics and AI use cases.
Own the end-to-end lifecycle of data products: discovery, design, KPI definition, adoption, and maintenance
Translate business needs into clear, governed data models and metrics
Define and own company-critical KPIs, ensuring consistency across dashboards and AI outputs
Drive cross-functional alignment across Business, Data, and Technology
Ensure data products are trusted, scalable, and leadership-ready
Drive adoption and measurable business impact.

Were hiring a Machine Learning Engineering Manager to guide and grow a high-impact ML team driving AI-powered innovation across B2B SaaS platform. Youll lead the design and delivery of AI solutions while mentoring engineers and setting the technical direction for AI-first development at scale.
This is a leadership role with a balance of hands-on engineering and team management, perfect for someone who thrives on solving technical challenges, inspiring a team, and shaping the future of AI in fintech automation.
What You Will Do:
Lead & Mentor: Manage, mentor, and grow a team of ML engineers, fostering technical excellence and career development.
Set Technical Direction: Define the ML strategy, ensuring best practices in architecture, frameworks, and operationalization.
Build and deploy AI-based solutions: Oversee the development and deployment of GenAI/LLM-powered solutions that address real-world challenges across products.
Scale & Operationalize: Establish scalable ML infrastructure, CI/CD, observability, and data pipelines for high-availability production systems.
Collaborate Cross-Functionally: Partner with product managers, engineers, and business stakeholders, clearly communicate progress, challenges, and outcomes.

we are seeking a Senior Data Scientist to drive the development and implementation of AI-based solutions that solve complex business challenges across our innovative SaaS platform. In this key role, youll work cross-functionally to lead end-to-end AI projects-from data exploration to deployment-helping shape the future of our intelligent products and user experiences.
If youre passionate about machine learning, LLMs, and real-world impact, and thrive in a collaborative, high-velocity environment, wed love to connect.
What You Will Do:
Identify AI opportunities to enhance product experiences and operational efficiency.
Collect, analyze, and model diverse financial datasets to develop actionable AI Products.
Own the full AI solution lifecycle-from problem definition to research, modeling, and hands-on implementation.
Break down complex problems into well-defined, structured work plans.
Collaborate closely with developers, product managers, and other stakeholders to integrate AI solutions seamlessly into products.
Stay up to date with AI, ML, and LLM trends, translating them into practical applications.
Provide technical leadership and mentorship to junior data scientists while balancing immediate delivery with long-term innovation.

Were looking for someone who will be responsible for promoting and supporting acquisition and retention projects & tasks in multiple languages and in multiple regions, aimed to increase the retention and conversion rates, influence uplifts of customer value and engagement rates. This person will be responsible for the company user engagement platform, including omnichannel and multi-platform campaign and user-journey set-up and optimization, creating and maintaining landing pages, data implementation, KPI reports and monitoring. We are looking for a technical, innovative, and results-driven person, with a passion for marketing technology.
What am I going to do?:

* Daily work includes: operating Fiverrs user engagement platform from a technical point of view, working with data, analyzing & reporting, testing, HTML CSS, and QA
* Messaging workflow implementation process, and enhancements on existing and new flows
* Monitor campaign and related processes performance and make recommendations for improvement
* Translate business needs to technical processes in user engagement platform
* Work with Retention, Product, R&D, BI, and other Marketing teams for any operational requirements
* Manage the Retention platform database, implement metrics, data validation, and monitor to measure and improve the CRM operational processes
* Build campaign segmentation, and agreed contact/business rules
* Design, build, QA, and deploy emails, landing pages, and other CRM communications in multiple languages
* Meet daily deadlines and objectives in a fast-paced environment

We are now looking for a Senior security researcher. our Networking product security team is looking for an outstanding technical security researcher with hands-on experience to help us improve the security posture of our networking software. In this role you will help reduce risk, threats, and vulnerabilities in our networking products.

What youll be doing:
Be involved in offensive security researcher on a wide range of products.
Assist with defining and making sure software development processes meet security and coding standards.
Perform security threat modeling for our Networking products.
Design and make security architecture recommendations to satisfy security guidelines and requirements.
Mentor teams and developers, promoting guidelines on the best security practices.
Be a technical focal point across multiple development teams and provide hands-on security engineering expertise.

we are looking for a Senior DevOps Engineer with a strong software development background to build and evolve our internal DevOps platform. You will sit at the intersection of Platform Engineering, SRE, and MLOps - owning the infrastructure and tooling that powers production and enables our developers and data teams to move fast, safely, and with confidence.
If you believe DevOps should be a self-service platform, love automation, and naturally think in systems and end-to-end flows, keep reading.
What You Will Do:
Build a DevOps Platform (Platform-as-a-Product): Create internal services and golden paths that scale across teams (self-service over ad-hoc, repeatable over personal support).
Own CI/CD End-to-End: Design, build, and maintain Jenkins and GitHub Actions pipelines that move code from commit to production with high reliability, visibility, and safety.
Operate and Evolve Our AWS Stack: Hands-on ownership of AWS, including services such as ECS, EKS, Lambda, WorkSpaces, DynamoDB, Redshift, S3, DocumentDB (and the surrounding networking, IAM, observability, and deployment patterns).
Enable MLOps and Data Workflows: Support and automate ML and data pipelines using tools like Airflow, MLflow, and Jupyter Notebooks (plus integrations with compute, storage, and security controls).
Automation First: Eliminate manual work through Infrastructure-as-Code, scripting, and internal tooling. Build reusable components instead of one-off solutions.
Cost Optimization (FinOps): Drive cost visibility and optimization (tagging, budgets/alerts, rightsizing, workload efficiency, and practical trade-offs between cost and reliability).
Security Ownership: Bake security into pipelines and infrastructure (least privilege, secrets management, supply chain controls, vulnerability scanning, hardening, and incident readiness).
Leverage AI to Move Faster: Use AI tools such as Cursor, GitHub Copilot, and Claude Code to accelerate delivery (without compromising quality, security, or reliability).
Cross-Team Collaboration: Partner with Engineering, Data, and AI teams to unblock delivery, improve developer experience, and keep production stable.

Were hiring a Technical Sourcer & Talent Acquisition Partner to help scale by identifying and engaging top technical talent.
In this sourcing-led role, youll partner with hiring managers and the Recruiting team to build strong pipelines, drive sourcing strategy, and support full-cycle hiring for key Engineering and R&D positions.
Youll work within an AI-First recruiting culture, using advanced tools, automation, and data to source more effectively and deliver an exceptional candidate experience. Youll develop a deep understanding of teams and culture, enabling you to target and attract the right talent quickly and confidently.
This role plays a critical part in shaping the teams that power continued growth and success.
What You Will Do:
Manage full-cycle recruiting for primarily Engineering, from screening and assessing candidates to driving the interview process, offer, and close.
Develop a strong understanding of culture, teams, and hiring needs to effectively qualify and engage candidates who will thrive in a fast-paced, high-growth environment.
Partner closely with hiring managers, interviewers, and leaders to ensure alignment, deliver insights, and execute an efficient, collaborative hiring process.
Own and lead all sourcing efforts for technical roles across Engineering, R&D, and additional departments, ensuring a strong, continuous top-of-funnel pipeline.
Conduct deep research, including Boolean searches, talent mapping, and competitor analysis using platforms such as LinkedIn Recruiter, GitHub, and Stack Overflow.
Leverage AI-powered tools (e.g., ChatGPT, JuiceBox, SeekOut, LinkedIn AI tools) to enhance search precision, improve personalization, and increase conversion.
Support additional recruiting and people-related initiatives as needed in a dynamic, fast-growing company.

We are seeking a Networking Software Engineer to join our RDMA Transport Software team, driving the development of next-generation RDMA solutions for AI, cloud, HPC, and storage. You will research and develop innovative transport algorithms that push the limits of performance and scalability. You will work in a fast-paced, collaborative environment alongside talented engineers from around the world, supporting the data needs of the worlds largest enterprises

What you'll be doing:
Take part in research, design, and development of advanced RDMA transport mechanisms and algorithms, enhancing performance, reliability, and scalability.
Collaborate closely with hardware engineers, software developers, and system architects to align on project objectives and requirements.
Keep up with industry trends and emerging technologies, integrating new ideas and innovations into the development process.

We are spearheading the AI revolution and the creation of state-of-the-art accelerated compute platforms for global utilization. Our Network Modeling and Performance Insights group is seeking a skilled and driven Software Developer for the design and development of our infrastructure for a complex networking simulation as a service. In this role, you will be responsible for developing and optimizing our network simulation software, and to enhance its performance and quality. You will work on integrating this infrastructure with cloud computation services for various use cases and ensure the simulation is available as a service for internal and external customers. If you're passionate about tackling intricate challenges and contributing to comprehensive software solutions, we want to hear from you.

What you'll be doing:

Enhance simulation runtime and memory consumption through innovative optimization techniques.

Improve the quality of the simulation as a software product, ensuring robustness and reliability.

Expends the simulation versatility to accommodate new various and complex user use cases and bleeding-edge requirements.

Design and expose the simulation as a service to facilitate easier access for different stakeholders.

Integrate a new simulation management system, making simulated experiments data accessible to all users.

Design and develop a CI/CD infrastructure for our complex networking simulation tool, ensuring efficient deployment and smooth integration processes.