דרושים » ניהול ביניים » Data Product Director

We are looking for a Senior Data Products Manager to lead the strategy and evolution of our external data products, with a strong focus on customer needs and scalable, high-impact data solutions.
In this role, you will work directly with customers and internal stakeholders to understand how our data catalog is used across different use cases. Youll translate customer insights, usage patterns, and commercial input into a clear product vision and prioritized roadmap aligned with company objectives.
You will work closely with customer-facing data scientists and internal delivery teams to turn customer needs into production-ready data products. This includes collaborating with Partnerships to evaluate external data providers and defining requirements that guide the transformation of raw data into reliable, high-quality signals. You will also engage with the data pipeline itself, where different models are used to turn raw and unclassified data into coherent, scalable data products.
Responsibilities:
Own the strategy, vision, and roadmap for Exploriums external data products, guiding a delivery team of data developers and a team lead.
Lead customer discovery and translate insights into scalable product initiatives, requirements, and clear delivery plans.
Drive prioritization across competing needs, balancing customer value, business impact, feasibility, and time-to-market.
Lead the end-to-end data product lifecycle: discovery, definition, delivery, launch, adoption, and continuous improvement.
Collaborate cross-functionally with Data Science, Engineering, Sales, CS, and Partnerships to validate use cases and define measurable product success.
Write clear product specs and actionable tickets that guide the transformation of third-party data into production-grade data products.
Continuously improve existing products to expand coverage, improve accuracy, and unlock new customer use cases.
Define and track success metrics such as adoption, customer impact, accuracy, coverage, and performance.

Were Hiring BI & Product Analyst
About The Position
Join Our Mission
We are dedicated to creating a world where every older adult receives the care they truly deserve. Guided by compassion and driven by innovation, we aim to redefine the future of caregiving. If youre passionate about making a meaningful impact, join us in advancing our virtual assessment tool. This cutting-edge technology monitors seniors' health in their homes 24/7, delivering emergency alerts, actionable insights, and predictive analysis to enable proactive and effective care.
Here, youll discover exciting opportunities for professional growth, make a direct and meaningful impact on our products and company, and contribute to a mission that truly matters.
Position Overview:
Are you passionate about turning data into real-world impact? were looking for a sharp, data-driven thinker and doer to join our product team. As our Product & BI Analyst, you wont just crunch numbers-youll unlock insights that shape how we build, deliver, and scale products that make a difference in peoples lives. Youll be at the intersection of product, operations, and strategy-empowering teams across the company to make smarter, faster, and more impactful decisions.
Key responsibilities:
Own the BI domain: Lead company-wide analytics, define processes, and champion a data-driven culture.
Enable data-driven teams: Partner with Product, Operations, Customer Success, Marketing, and Sales to track KPIs, analyze performance, and uncover improvement opportunities.
Turn data into impact: Identify trends, anomalies, and opportunities that shape product and business decisions.
Define KPIs and data needs: Collaborate with Product and R&D to define success metrics, guide event implementation, and ensure relevant data sources and flows are in place.
Design accessible reporting interfaces: Build intuitive dashboards and reports that provide easy access to key metrics and clearly surface insights for each stakeholder.
Recommend the right tools: Evaluate and guide the selection of data tools that support evolving business needs.

We are looking for a visionary and technically versatile Data Science Manager to join the Data Science & MLE group within our DS & Analytics organization.
In this pivotal role, you will lead a hybrid team of Data Scientists and Machine Learning Engineers, acting as the bridge between cutting-edge technical innovation and high-level business strategy. You won't just be managing a team; you will be the Technical Lead defining how we solve complex problems-from predicting player behavior to optimizing marketing budgets using the latest in Generative AI.
You will partner closely with Game Directors, Product Managers, and our central analytics teams to drive value across Zynga's diverse portfolio. If you are a leader who is "bilingual" in data-possessing deep Data Science expertise to guide methodology while bringing high MLE and Engineering skills to build scalable, production-ready systems-we want to hear from you.
Key Responsibilities:
Team Leadership & Mentorship: Recruit, retain, and develop top-tier talent within the Data Science & MLE team. Foster an inclusive culture of innovation where technical rigor meets creative problem-solving.

Technical Direction & Engineering Standards: Act as the hands-on Technical Lead for the domain. You will supervise the end-to-end development lifecycle-from research to production-enforcing high standards and MLOps to ensure our models are scalable and maintainable.
Strategic DS & Analytics Support: Drive the development of advanced analytical frameworks to solve core business challenges. You will guide the team in applying rigorous statistical and machine learning methods to areas such as Time Series Forecasting, Causal Inference, Marketing Optimization, Root Cause Analysis, and more.
Strategy & Collaboration: Partner with Game Directors, BI Platform PMs, and embedded analytics teams to define the data strategy and roadmap. You will ensure that our technical initiatives are directly aligned with company-wide goals and solving the right problems.
Global Alignment: Maintain a tight collaborative network with Data Science & Analytics managers in North America, ensuring global consistency in methodologies, knowledge sharing, and joint development.

We are looking for a Data Analyst with strong Python and engineering capabilities to join our Data team.

This is not a traditional analytics role - it combines data analysis with hands-on development. You will work extensively with Python as part of your day-to-day work, building scalable data processes, evaluation frameworks, and classification logic that directly impacts our product.

Our team works on large-scale data systems, leveraging ML capabilities such as NER and LLMs, alongside robust engineering and analytics to deliver insights across millions of files and tables daily.


Responsibilities
Design and implement data classification logic to expand coverage of sensitive data types, owning the process end-to-end - from research and analysis to production deployment
Develop Python-based workflows and tools for data processing, evaluation, and automation
Build and maintain data pipelines and monitoring systems to track product performance and data quality
Create automated frameworks to evaluate and benchmark model performance
Collaborate closely with R&D and take part in discussions around AI/ML solutions and product direction

we are a growing tech company in the automotive space with hubs across the US and Israel. Our mission is to constantly disrupt the industry by creating new, groundbreaking technologies to help dealers build stronger, more resilient businesses. Our work happens in the fast lane as we work to bring AI-powered, data -driven solutions to a quickly evolving industry. Our team at our company is made up of curious and creative individuals who are always looking to achieve the impossible. We are bold, collaborative, and goal driven, and, at our core, we are committed to delivering value that impacts our bottom line. If you are a creative, solutions-oriented individual who is ready to put your career in drive, we are the place for you! As the Director of Product for the CDP Group, you will own the entire data lifecycle end-to-end. Your mission is to lead the team responsible for everything from initial data integrations to the data Insights platform, ultimately reflecting that data within our CDP to power reporting and meaningful audience creation for our Activation solutions. We are looking for a high-level leader who thrives on ambiguity. You should be able to take a high-level strategic vision-such as "streamlining client services data "-and execute the full technical and product journey: from extracting data from "messy" systems using LLM-based processing to ensuring the final reporting delivers clear, actionable value to our users.


What you will be responsible for:
End-to-End data Ownership: Lead the strategic roadmap for data integrations, the data platform, and the Customer data Platform (CDP). Integration & Partner Management: Oversee the data Integrations team, managing a scaling ecosystem of 200+ live integrations and identifying new opportunities for expansion. AI & LLM Innovation: Drive the use of LLM-based processing to transform unstructured, "messy" data into high-quality relational data that powers the company ecosystem. User-Centric Reporting: Define best practices for how data is surfaced to users, ensuring reporting is intuitive, impactful, and aligned with market needs. Strategic Execution: Translate ambiguous business goals into concrete technical requirements and product features. Cross-Functional Leadership: Work closely with the CRM and Activation groups to ensure the CDP foundation effectively serves all marketing and sales solutions.
Why you should join us:
Why us?
* You will be at the heart of our data strategy, working with a global team of go-getters who leave their ego at the door and dont shy away from ownership.
* We offer clear career advancement and a seat at the table in a rapidly scaling company.
* Family-friendly environment and flexible working hours
* An awesome global team of forward-thinking, innovative go-getters
* Be part of a rapidly scaling company poised for the future
* Learning and growth opportunities within a fast-paced tech startup environment
* Clear career advancement path for strong performers
* We are committed to setting each other up for success. As a member of our team, you will work in an environment that encourages growth, initiative taking, and continuous mutual feedback in order to reach your full potential.
* Cibus and lots of yummy treats:-)

Were looking for a Senior Data Science who is excited about designing and building production-grade AI systems powered by modern LLMs and machine learning.

This role is ideal for someone who enjoys working at the intersection of AI, engineering, and product, and who is passionate about turning cutting-edge AI capabilities into reliable, scalable systems that solve real customer problems.

Youll work closely with product managers, data scientists, and engineers to design, build, and deploy AI-powered solutions - including LLM pipelines, agents, and intelligent automation systems that power our core products.

This is a hands-on role where youll take ownership of the full lifecycle of AI features - from problem framing and architecture design to deployment, evaluation, and iteration in production.

Responsibilities:
Design and build AI-powered systems that leverage LLMs, embeddings, and modern NLP techniques to transform raw product data into structured, actionable insights.
Develop and maintain production-grade AI pipelines including prompt workflows, agents, retrieval systems (RAG), and automated decision processes.
Work closely with product and engineering teams to translate business needs into scalable AI solutions.
Architect systems that combine LLMs, data pipelines, and traditional ML into robust end-to-end products.
Experiment with and integrate new AI tools, models, and frameworks to continuously improve system capabilities and performance.
Own the full lifecycle of AI features - from design and prototyping to deployment, monitoring, and iteration.
Ensure reliability and performance of AI systems in production, including evaluation frameworks, guardrails, and monitoring.
Collaborate across teams to define best practices for AI system design, prompt engineering, and agent orchestration.
Collaborate closely with cross-functional team members, effectively communicate complex ideas, share knowledge, and mentor engineers and data scientists to elevate team standards and impact.

Were looking for a Director of AI Product Management to lead our AI Assistant, MCP Server, and the evolution of agentic capabilities across the platform. This is a unique opportunity to shape how developers and organizations build, secure, and deliver software with the help of intelligent, autonomous experiences.
As a Director of AI Product Management, you will...
Define and drive the AI strategy for our platform, focusing on assistant capabilities, model integration, and developer intelligence.
Lead and mentor a team of AI-focused product managers, empowering them to deliver transformative experiences across our products.
Own the vision, roadmap, and execution for our AI Assistant, MCP Server, and agentic experiences.
Partner with engineering, data, and design teams to build production-ready AI systems, integrating LLMs and reasoning models into developer workflows.
Shape the AI platform architecture - ensuring context awareness, privacy, and responsible model usage across all environments.
Collaborate with Go-To-Market and Customer Success teams to identify high-impact AI use cases that drive adoption, productivity, and differentiation.
Establish a culture of experimentation and measurement - defining metrics for AI engagement, success rate, and business impact.
Stay ahead of industry trends in LLMs, AI agents, and DevOps automation, bringing fresh thinking into our platform vision.
Collaborate with technical teams, business stakeholders, and cross-functional product leaders to deliver a unified development platform.

Required Product Analyst
The Role
The Product Analyst position directly affects the companys product decisions. Our growing Data department is looking for a highly motivated team player who is proactive, a problem solver, and a storyteller. You will play a key role in analyzing patterns, identifying trends, and providing insights that directly influence our product strategy and roadmap.
Responsibilities:
Act as the analytics partner for product managers from ideation through discovery, research, planning and analyzing A/B tests.
Analyze large and complex data sets using SQL and statistical methods to provide actionable recommendations for improvements.
Manage a full data collection life cycle - define, collect and process data.
Conduct deep-dive analysis of new features and A/B tests to validate hypotheses, monitor KPIs, and measure success.
Build robust, self-served dashboards, reports, and alerting to enable data-driven decisions across the team.
Conduct opportunity sizing and impact assessments to ensure the team focuses on the most meaningful features and initiatives.
Promote new tools and methods to make data-driven decisions.
Work closely with R&D to achieve data-related goals.
Share and present insights and data stories to a diverse set of stakeholders, including management.
Role located in Ramat HaChayal, Tel Aviv.

we are looking for a Product Analyst.
A Product Analyst plays a key role in leveraging data to drive product decisions and improvements. By analyzing product performance, user behavior, and key metrics, they provide actionable insights to product teams and stakeholders. The Product Analyst collaborates with various teams to optimize features, set KPIs, and ensure the product is aligned with business goals through data-driven decision-making.
What You Will Do:
Provide Data-Driven Insights: Support product teams and stakeholders with actionable insights to drive product decisions.
Develop Reports & Dashboards: Build and maintain reports, dashboards, and alerts using BI tools.
Analyze User & Product Data: Analyze user behavior, product performance, and usage data to track product health and optimize features.
A/B Testing & KPI Monitoring: Own KPIs and A/B testing, monitor results, and drive product improvements.
Optimize Funnels & Activities: Continuously analyze and optimize user funnels and product activities.
Collaborate Cross-Functionally: Work with product managers, engineers, and other teams to inform product priorities with data.
Data Automation: Automate data integrity and validation processes to ensure consistent and accurate reporting.

The role is both highly analytical and highly customer-facing. It requires a proactive mindset, strong influencing skills, and the ability to translate deep, data-driven fraud insights into clear, practical recommendations that help merchants make confident decisions. You will hire and develop analysts, define how the team operates, and play a central role in shaping how delivers fraud expertise in a high-performance, growth-oriented environment.

Key responsibilities

Build and lead a Fraud Analytics team focused on merchant-specific fraud strategies

Hire, mentor, and develop fraud data analysts while setting a high analytical and professional bar

Own complex fraud analyses and strategy recommendations end-to-end, from investigation to deployment

Design, test, and deploy fraud rules and data-driven strategies, leveraging machine learning models

Define clear success metrics and track performance against them

Work closely with Commercial teams in customer-facing contexts, supporting merchant conversations with clear, structured insights

Partner with Product, Data Science, Engineering, and Operations to translate merchant needs into scalable fraud capabilities

Influence across the organization and drive continuous improvement in how fraud strategy and analytics are delivered