דרושים » דאטה » Product Manager, Data Export

We are looking for a seasoned Product Partnerships Manager in Israel to lead efforts in improving measurement integrity, partner signal quality, and exploring joint technological offerings with strategic partners.
You will interact with top-tier partners (ad networks and martech platforms) and work cross-functionally with internal Partnerships, Product, R&D, and marketing teams to advance mutual projects and present the partner angle of every product-related initiative.
The Product Partnerships team operates at the intersection of product, partners, and ecosystem strategy.
Our mission is to extend measurement authority across the ad ecosystem by improving partners data integrity and signal quality, and by broadening and deepening partners integrations with features.
The Product Partnerships Manager role is perfect for someone with a technical/product orientation, and a strong knowledge of the ad tech ecosystem, who loves solving problems and creating win-win situations with partners.
What you'll do:
Own strategic product collaboration with key platforms across the advertising and marketing ecosystem (e.g. ad networks, DSPs, analytics and engagement platforms)
Unlock obstacles to partner integrations and capabilities by working closely with Product and R&D teams to define, build, and improve scalable solutions
Ensure high-quality data flows and measurement integrity, acting as a subject matter expert towards partners on attribution, data accuracy, and signal quality
Identify and execute opportunities to enhance partner value, including improving performance, expanding use cases, and increasing partner adoption
Support revenue growth through partnerships by enabling deals, removing technical blockers, and aligning partner capabilities with customer needs
Act as the voice of partners internally, influencing product roadmap, prioritization, and go-to-market strategies
Lead cross-functional initiatives across Product, R&D, Sales, and Customer Success to deliver impactful partner solutions
Monitor ecosystem trends and partner developments, identifying risks, opportunities, and competitive dynamics
Drive operational excellence and scalability, improving processes and leveraging AI and automation where possible
Operate self-sufficently to pull and analyze data to understand impact of product changes on partners and identify potential issues
Collaborate with marketing on communication to partners about product updates and changes

Join us as a Product Lead - Data & ML on our Product Management team in Glil Yam to do the best work of your career and make a profound social impact.

As a Product Lead - Data & ML, you will be responsible for defining and delivering data-management and AI/MLOps capabilities within a data-intensive platform. You will work with cross-functional engineering, architecture, and external partner teams to drive advanced data and machine learning solutions that power enterprise-grade products.

You will:
Lead the full product lifecycle- from ideation and prioritization to design, planning, and delivery of AI/ML and data platform capabilities.
Define requirements and translate complex business needs into scalable product features in collaboration with engineering and architecture teams.
Drive MLOps and data platform initiatives, ensuring high-quality, production-ready solutions.
Collaborate with external clients and partners to deliver best-in-class solutions and align on product vision.

About Nuvoton Technology Israel (NTIL) Nuvoton Israel is a leading supplier of SoCs, microcontrollers and security hardware solutions for tier-1 customers in the computing and server business. A self-contained design center, spanning from product management, system and chip architecture, through design, software development, system engineering and production. The group works closely with major customers, primarily key US Based OEMs in the computing and cloud space, to develop semi-custom, innovative solutions for a wide range of application platforms. Our products combine unique sets control, management, and advanced security solutions, enabling our customers to establish differentiation in their end markets. We are seeking an experienced Product Marketing Manager (PM) for Baseboard Management Controller (BMC) SoC product in the Server domain. This role requires a blend of technical expertise, business acumen, and strong leadership skills to successfully manage semiconductor products in a competitive and rapidly evolving market. The successful candidate will play a crucial role in driving our product strategy, enhancing market presence, and contributing to the company's growth in the competitive semiconductor industry. Outbound Responsibilities Customer Engagement
* Serve as the primary contact for all customer interactions. Sustain current business activities and relationships while exploring new opportunities, products, and markets.
* Act as the liaison between customers, sales teams, and internal stakeholders, ensuring alignment and addressing customer needs.
* Engage in technical discussions with customers to gather feedback, understand requirements, and provide expert solutions. Industry Engagement
* Remain updated on industry developments, trends, competitor products, and new technologies.
* Build and maintain strategic relationships with key enablers and suppliers within the cloud semiconductor industry Inbound Responsibilities: Product Strategy and Planning
* Develop and maintain comprehensive product roadmaps that align with market trends and company objectives
* Understand customer needs, competitive landscape, and emerging technologies
* Collaborate with customers and engineering teams to define clear product requirements and specifications. ?Product Development:
* Manage the product for its entire lifecycle from concept to end-of-life
* Prioritize product features and enhancements based on market demand and business objectives
* Lead cross-functional teams to ensure efficient product development and timely delivery, working closely with Engineering Program Managers
* Create compelling business cases to justify new product initiatives
* Manage product budgets, including cost control and pricing strategies

Responsibilities
Operational Strategy & Execution
Drive the execution of operational strategies that support efficient product development, delivery, and alignment with business priorities.
Process Optimization & Continuous Improvement
Identify, analyze, and continuously improve product workflows, fostering a culture of operational excellence, scalability, and innovation.
AI, Automation & Tooling
Identify opportunities to leverage AI, automation, and emerging workflows to improve Product operations. Own the Product Management tool stack end-to-end (e.g., Azure DevOps, Salesforce, internal systems), evolving tools, integrations, and workflows to drive measurable impact.
Cross-functional Leadership & Project Delivery
Partner with Product, Engineering, and cross-functional stakeholders at all levels to lead and deliver initiatives end-to-end, ensuring alignment, transparency, and timely execution.
Insights, Metrics & Decision Support
Define and track KPIs, and collect and analyze data to generate actionable insights that improve product performance and inform decision-making.
Operational Governance & Adoption
Drive adoption of Product Operations standards, frameworks, and best practices across the organization.
Prioritization & Planning
Own and evolve planning and prioritization frameworks to ensure focus, alignment, and effective resource allocation.
Customer Commitments & Deal Support
Support customer-driven commitments and deal acceleration processes, ensuring Product is set up to deliver on high-impact opportunities.

We are looking for an experienced Product Manager to join our Product team, responsible for owning and evolving core SaaS and Web platform capabilities with strong security and data foundations.
This role focuses on end‑to‑end ownership of UI‑driven B2B products, close collaboration with engineering and cross‑functional teams, and delivering intuitive, high‑quality experiences that balance usability, data insights, and enterprise‑grade security requirements.

We are looking for a Data Engineer to join our usage metering & billing platform team! with a strong background in writing ETLs and complicated data processing pipelines. Youre deeply familiar with modern data processing stack (especially Spark, Hadoop and Airflow), have a strong problem-solving attitude and, most importantly, youre passionate about understanding the business side of the platform. Our platform engineers have an end-to-end understanding of the data our products generate and the commercial models and data structures in which they fit.
Working with this enormous volume of data begins with massive ETL pipelines built using cutting-edge technologies such as Kafka, BigQuery, Airflow, S3, PostgreSQL, Athena, SQS, Redis, and especially Spark. We are big believers in working with the right tool for the right job, including programming languages. We run a truly polyglot shot with Scala, Python, Go and Node being especially common here . The extreme growth rate of our data and client base means that solutions need to be designed to handle 10X growth or more.
What youll do:
Develop end-to-end ETLs and data infrastructure features from data processing logic to database choice and implementation through to API development
Improve the scalability and performance of existing data pipelines
Delve into existing pipelines and business logic, target weaknesses and add functionality
Mentor, advise, and work collaboratively within the Biz Data & Dev group, with other development teams, and with all other business teams of the company
Continuously learn and follow new technologies both for personal growth and to ensure we are making the most informed technology choices possible

The Silicon Technology Wireless EPM team is seeking an Engineering Program Manager (EPM) to lead the planning, execution, and delivery of complex wireless solutions for our products.
This role requires both technical depth and program management expertise to drive projects from concept through tape-out and into mass production.
As an EPM, you will partner closely with architecture, design, validation, firmware, factory, and test engineering teams to ensure programs achieve performance, quality, and schedule goals.
You will be a central point of coordination, driving execution, and communication across all stakeholders.

Drive planning, prioritization, and execution, ensuring alignment with aggressive schedules and quality targets.
Anticipate and navigate complex technical and organizational challenges to enable timely, effective resolutions.
Establish and maintain robust execution plans with clear milestones, KPIs, and reporting mechanisms.
Facilitate cross-functional trade-off discussions grounded in data-driven decision-making and stakeholder alignment.
Build relationships across the organization and cultivate a collaborative, transparent environment that strengthens communication and efficiency across teams and with leadership.
Continuously refine engineering processes and methodologies to optimize performance and scalability.

Our software team is growing, and we are looking for a software data engineer to be entrusted with designing, building, and optimizing large-scale data pipelines in both on-premise and cloud environments.


Your role will encompass the management and storage of binary and tabular data, integration and collaboration with our AI/ML teams and stable large scale ETL pipelines. We value agility, so staying updated and adaptable to our evolving tech stack is inherent to the role.

Responsibilities
Manage and design ETL processes, data cleansing, transformation, and integration.
Work closely with our ML/AI teams.
Apply solid expertise in SQL and other databases to support data operations.
Collaborate with the data team and stakeholders to align on requirements and deliverables.
Manage and set up visualization tools to enable data-driven decision making.
Monitor and maintain logging frameworks such as Grafana, Prometheus, Kibana, and Elasti.

Were expanding our Data & AI group and looking for a passionate, experienced Senior Data & AI Engineerto join our mission. This is a unique opportunity to work at the intersection of data engineering, LLMpowered systems, agentic workflows, and cybersecurity innovation

What youll work on
Data Infrastructure & EngineeringDesign, build, and scale production-grade data pipelines using Databricks, Spark, and modern cloud-nativetechnologies. Ensure high standards of data integrity, system performance, reliability, and scalability.
Core Backend & PlatformDesign and contribute to scalable backend services and platform capabilities using microservices andevent-driven architectures. Build reliable APIs, integrations, and asynchronous data flows that support highscale AI, data, and cybersecurity use cases.
LLM & Agentic SystemsDesign, prototype, and integrate LLM-powered systems, including Retrieval-Augmented Generationpipelines, agentic workflows, tool-using agents, multi-step reasoning flows, and AI-driven automation. Workwith technologies such as AWS Bedrock, OpenAI, Anthropic, LangGraph, vector databases, and modernorchestration frameworks.
AI-Assisted Engineering & Developer ProductivityExplore and apply advanced AI coding assistants and software-engineering agents, such as Codex andClaude Code, to improve development velocity, code quality, debugging, testing, and experimentation.Build proof-of-concepts and internal tools that help engineering and research teams work more effectivelywith AI-powered development workflows.
Intelligent Cybersecurity FeaturesCollaborate with Security Researchers, Engineers, and Product teams to identify opportunities forintelligent, data-driven features that deliver actionable cybersecurity insights to customers. Transformcomplex cybersecurity and platform data into reliable, explainable, and useful AI-powered capabilities.

Were looking for a Product Manager to join the DLP team and help build a next‑generation Data security platform.
Youll own product areas end‑to‑end and turn real customer problems into impactful solutions.
Responsibilities
Own the full product lifecycle (discovery → delivery → adoption)
Translate customer needs into clear product requirements
Collaborate with engineering, design, sales, support, marketing, and cross‑product teams
Balance security effectiveness, UX, and performance.