דרושים » ניהול ביניים » Senior Product Manager - Analytics

Join our Analytics Research team and help shape next-generation Customer Engagement and Interaction Analytics solutions. You will design, research, and productionize advanced NLP and agent-based AI capabilities that autonomously reason, plan, and act across complex customer interaction workflows.
Youll work end-to-end-from foundational research and rapid experimentation to scalable deployment-building systems that combine LLMs, tools, memory, and orchestration to deliver trusted, enterprise-grade AI used by customers worldwide.
What Youll Do:
Research, design, and develop state-of-the-art NLP, LLM, and Agentic AI systems
Build and evolve autonomous and semi-autonomous agents for interaction analysis and customer engagement use cases
Advance analytics capabilities using reasoning, planning, tool use, and multi-agent collaboration
Tackle complex research problems over large-scale conversational and multimodal data
Collaborate on broader analytics initiatives, including scalable ML systems and data-intensive pipelines
Design and run experiments, evaluate agent behavior and model quality, and communicate results clearly
Take solutions from prototype to production, balancing research innovation with robustness and performance

Were looking for an experienced Product Manager to lead our companys browser protection capabilities.
The browser has emerged as a major vector for data exposure and user‑driven risk across modern enterprise workflows.
Effective browser‑level controls are fundamental to preventing data loss, mitigating web threats, and governing AI usage in real time.
This is a highly strategic role as part of the DLP team, owning a shared browser protection platform that supports critical capabilities across different use cases in the platform.
You will drive complex, cross‑product initiatives and make high‑impact trade‑off decisions across security effectiveness, performance, and user experience.

Power the Future with us! At SolarEdge (NASDAQ: SEDG), we're a global leader in smart energy technology, with over 3,000 employees, offices in 30 countries, and millions of installations worldwide. Our innovative solutions include solar inverters, battery storage, backup systems, EV charging, and AI-based energy management. We're committed to making clean, green energy the primary power source for homes, businesses, and beyond. With the growing demand for electricity, the need for smart, clean energy sources is constantly rising. SolarEdge offers amazing opportunities to develop your skills in a multidisciplinary environment, covering everything from research and development to production and customer supply. Work with talented colleagues, tackle exciting challenges, and help create a sustainable future in an industry that's always evolving and innovating. Join us and be part of a company that values creativity, agility, and impactful work. The experience of installation crews in the field is critical to the success of SolarEdge systems. Solutions that are easy to install and commission help save time, reduce costs, and minimize frustration for installers — making installer experience a key factor in customers’ choice of solar system vendor. The Role The Senior Product Manager for Field Installer Software Experience will lead the strategy and execution of products and solutions designed for field installation crews of SolarEdge customers. This role focuses on deeply understanding installers’ day-to-day workflows, challenges, motivations, and success metrics, and translating these insights into impactful software experiences and supporting tools. The scope includes improving existing products as well as building new solutions from the ground up, including: • Software tools for installers • Installation and commissioning guidance • AI-based support and chat solutions • Visual AI validation and installation assistance tools The role will directly oversee Product Management and UX/UI activities, while working cross-functionally with R&D, Product, Support, Marketing, Regional Sales, Technical teams, and additional stakeholders across the organization.

Country:
Israel

City:
Herzliya

Were looking for a data scientist to join our team and further improve fraud detection capabilities.
This position involves analyzing evolving fraud patterns, developing and deploying advanced prevention components, and leveraging domain expertise, data tools, and modern AI methods to stay ahead of emerging threats.
A partial list of our tech stack: Python (and its related scientific stack), Spark, TensorFlow/PyTorch, Kafka, AWS services, Airflow, Scala, BigQuery, and more
What you'll do:
Mine massive data sets to uncover fraud patterns and prevention opportunities.
Develop and productionize large-scale ML, DL, and AI models to detect and prevent fraudulent activity.
Translate business and product needs into scientific, explainable, and high-impact solutions.
Design and maintain end-to-end ML pipelines - from data ingestion and feature engineering to serving and monitoring in production.
Collaborate closely with product, engineering, and business teams to drive data-driven decisions.
Stay current with AI and ML research and evaluate new technologies to strengthen Protect360s algorithms.

Were hiring a Senior Product Manager to lead the Investigation domain, where automation, data, and human oversight combine to prevent breaches and build enduring customer trust. This is a role with exceptionally high ownership and accountability - youll have a direct impact on stopping cybersecurity attacks and define how the system behaves under uncertainty.
Responsibilities
Own the product strategy for AI-driven security investigations: turning alerts into clear outcomes with measurable quality, speed, and trust.
Stay ahead of emerging technologies and market shifts, working with stakeholders to identify the most urgent security problems and shape high‑impact solutions.
Lead & prioritize cross-functional execution across engineering, data science, and security operations - aligning tradeoffs between speed, accuracy, and customer trust.

We are looking for a talented and curious ML Data Scientist to join our growing Machine Learning team in Herzliya.

In this role, you will help create the full data lifecycle that underpins our models: from designing what data we collect, through curation and quality monitoring, to running rigorous experiments that drive model improvements. You will work closely with other ML and Data Engineering teams to ensure our models are trained on the best possible data, reaching the best accuracy, and that we deeply understand when and why they don't perform as expected.
Responsibilities
As an ML Data Scientist on this team, you will play a central role in shaping the data that powers our ML models. You will:
Investigate model failures - identify patterns, hypothesize root causes, and work with the team to implement fixes
Own data curation: evaluate, clean, and curate datasets to maximize model training quality
Design and execute experiments end-to-end: from defining the question and data collection escort, through analysis and statistical validation, to presenting clear conclusions and driving implementation
Define data collection strategies - collaborate with others to decide what data we should be collecting and why
Design and maintain monitoring solutions with others to ensure ongoing data quality and integrity at scale