דרושים » ניהול ביניים » Senior Data Product Manager

We seek a Director of Data to join us and lead our data group.
As our Director of Data, you will be a key member of our R&D leadership team. You will be responsible for developing and executing a data strategy that aligns with our business goals, overseeing data management, analytics, and validation, and ensuring data integrity at every stage of product development and production.
A day in the life and how youll make an impact:
Define and execute a strategic data roadmap aligned with business objectives, fostering a data-driven culture and leading a high-performing team of data engineers, scientists, and analysts.
Establish robust data validation frameworks, ensuring product integrity and accuracy through all stages, from data acquisition to end-user delivery.
Build and optimize scalable data infrastructure and pipelines to support our data needs and ensure data security, compliance, and accessibility.
Collaborate with product and engineering teams to create and launch data-driven products, ensuring they are built on reliable data and designed to meet customer needs.
Guide the team in generating actionable insights to drive business decisions and product innovation in areas such as personalization, marketing, and customer success.
Implement data governance policies and maintain compliance with industry regulations and best practices.

As a Big Data & GenAI Engineering Lead within our company's Data & AI Department, you will play a pivotal role in building the data and AI backbone that empowers product innovation and intelligent business decisions. You will lead the design and implementation of our companys next-generation lakehouse architecture, real-time data infrastructure, and GenAI-enriched solutions, helping drive automation, insights, and personalization at scale. In this role, you will architect and optimize our modern data platform while also integrating and operationalizing Generative AI models to support go-to-market use cases. This includes embedding LLMs and vector search into core data workflows, establishing secure and scalable RAG pipelines, and partnering cross-functionally to deliver impactful AI applications.
As a Big Data & GenAI Engineering Lead in our company you will...
Design, lead, and evolve our companys petabyte-scale Lakehouse and modern data platform to meet performance, scalability, privacy, and extensibility goals.
Architect and implement GenAI-powered data solutions, including retrieval-augmented generation (RAG), semantic search, and LLM orchestration frameworks tailored to business and developer use cases.
Partner with product, engineering, and business stakeholders to identify and develop AI-first use cases, such as intelligent assistants, code insights, anomaly detection, and generative reporting.
Integrate open-source and commercial LLMs securely into data products using frameworks such as LangChain, or similar, to augment AI capabilities into data products.
Collaborate closely with engineering teams to drive instrumentation, telemetry capture, and high-quality data pipelines that feed both analytics and GenAI applications.
Provide technical leadership and mentorship to a cross-functional team of data and ML engineers, ensuring adherence to best practices in data and AI engineering.
Lead tool evaluation, architectural PoCs, and decisions on foundational AI/ML tooling (e.g., vector databases, feature stores, orchestration platforms).
Foster platform adoption through enablement resources, shared assets, and developer-facing APIs and SDKs for accessing GenAI capabilities.

We are seeking talented and passionate Data Engineer to join our growing Data team. In this pivotal role, you will be instrumental in designing, building, and optimizing the critical data infrastructure that underpins innovative creative intelligence platform. You will tackle complex data challenges, ensuring our systems are robust, scalable, and capable of delivering high-quality data to power our advanced AI models, customer-facing analytics, and internal business intelligence. This is an opportunity to make a significant impact on our product, contribute to a data-driven culture, and help solve fascinating problems at the intersection of data, AI, and marketing technology.
Key Responsibilities
Architect & Develop Data Pipelines: Design, implement, and maintain sophisticated, end-to-end data pipelines for ingesting, processing, validating, and transforming large-scale, diverse datasets.
Manage Data Orchestration: Implement and manage robust workflow orchestration for complex, multi-step data processes, ensuring reliability and visibility.
Advanced Data Transformation & Modeling: Develop and optimize complex data transformations using advanced SQL and other data manipulation techniques. Contribute to the design and implementation of effective data models for analytical and operational use.
Ensure Data Quality & Platform Reliability: Establish and improve processes for data quality assurance, monitoring, alerting, and performance optimization across the data platform. Proactively identify and resolve data integrity and pipeline issues.
Cross-Functional Collaboration: Partner closely with AI engineers, product managers, developers, customer success and other stakeholders to understand data needs, integrate data solutions, and deliver features that provide exceptional value.
Drive Data Platform Excellence: Contribute to the evolution of our data architecture, champion best practices in data engineering (e.g., DataOps principles), and evaluate emerging technologies to enhance platform capabilities, stability, and cost-effectiveness.
Foster a Culture of Learning & Impact: Actively share knowledge, contribute to team growth, and maintain a strong focus on how data engineering efforts translate into tangible product and business outcomes.

We're seeking a Senior Product Manager to lead our flagship product. This role is integral to enhancing and driving value through innovative marketplace solutions. In this pivotal role, you will drive strategic projects and collaborate across departments to deliver innovative solutions that elevate our product capabilities. Your leadership and vision will directly influence the evolution of Talent Marketplace, ensuring it remains the core driver of our business success.
Responsibilities
Drive product strategy and roadmap development for our flagship products.
Partner with engineering, design, customers and GTM to define product requirements and features
Lead user research initiatives to deeply understand customer needs and pain points
Translate customer insights into compelling product features and experiences
Define success metrics and use data to inform product decisions
Collaborate with marketing to develop positioning, messaging, and go-to-market strategies
Work with CS and sales teams to gather feedback and create enablement materials
Represent the voice of the customer throughout the product development process
Monitor competitive landscape and market trends to inform product direction
Manage product releases and communications to internal and external stakeholders.

Required Senior Data Engineer
What You'll Do:
Shape the Future of Data- Join our mission to build the foundational pipelines and tools that power measurement, insights, and decision-making across our product, analytics, and leadership teams.
Develop the Platform Infrastructure - Build the core infrastructure that powers our data ecosystem including the Kafka events-system, DDL management with Terraform, internal data APIs on top of Databricks, and custom admin tools (e.g. Django-based interfaces).
Build Real-time Analytical Applications - Develop internal web applications to provide real-time visibility into platform behavior, operational metrics, and business KPIs integrating data engineering with user-facing insights.
Solve Meaningful Problems with the Right Tools - Tackle complex data challenges using modern technologies such as Spark, Kafka, Databricks, AWS, Airflow, and Python. Think creatively to make the hard things simple.
Own It End-to-End - Design, build, and scale our high-quality data platform by developing reliable and efficient data pipelines. Take ownership from concept to production and long-term maintenance.
Collaborate Cross-Functionally - Partner closely with backend engineers, data analysts, and data scientists to drive initiatives from both a platform and business perspective. Help translate ideas into robust data solutions.
Optimize for Analytics and Action - Design and deliver datasets in the right shape, location, and format to maximize usability and impact - whether thats through lakehouse tables, real-time streams, or analytics-optimized storage.
You will report to the Data Engineering Team Lead and help shape a culture of technical excellence, ownership, and impact.

We are looking for a new senior member of our product management team to lead the development and execution of the B2B product strategy. we are not only empowers people to travel from A to B with a breeze but also provides companies with a toolkit to customise the ground transportation solution to their needs and deliver the service to their employees with high satisfaction while keeping crippling costs under control. You will be a key player defining how to achieve this and increase the product-market fit for more segments.
If you like building the complex systems yet making them appear simple to the end user and are enthusiastic about the self-serve approach and accelerating the product-led growth in B2B, then this job is for you. You will get a exposure to the clients to gather feedback, and will have plenty of data points and tools at your disposal to inform your decisions, and check hypotheses. We like disproving ideas based on the research insights as much as proposing them!
In this role, you will be leading cross-functional team consisting of engineering, design, analysts, and sales to ensure that the development process runs smoothly, our product is being adopted by the admins and bookers and delivers value.
Responsibilities:
Generate customer insights through quantitative and qualitative research to guide product vision and roadmap creation
Lead products and features throughout their life cycle from the idea stage to product requirements to execution and adoption
Work closely with Analysts, UX Design, Engineering, Product Marketing, and Sales teams to build high-quality products and bring them to the market
Track product performance and iterate until business needs are met and customer satisfaction is reached
Collaborate with other Product Managers in order to enhance your products through synergy with Mobile, Algo and ML solutions
Navigate in a fast-paced, fluid environment where product development and business requirements can often take new turns

As we continue to expand and evolve, were looking for a Senior Product Manager to join our growing team and help shape the future of trust and security in the decentralized world.
Role Overview -
Were looking for a Product Manager with hands-on experience in Web3 and Blockchain technologies.As a Senior Product Manager, you will be responsible for leading the development of core product features that enhance our on-chain security solutions. You will own the product lifecycle from vision to execution, ensuring the product aligns with our overall strategy and delivers value to our customers. Youll work closely with R&D, go-to-market teams, and customers, bringing together technical expertise, market insight, and leadership skills to deliver innovative solutions that meet the needs of the rapidly evolving blockchain space.
Key Responsibilities -
Own the Product Vision and Roadmap: Define and execute the product strategy in the Web3 space, aligning it with our vision, roadmap, and broader strategic goals in collaboration with leadership and cross-functional teams.
End-to-End Feature Ownership: Lead the ideation, development, and launch of key product features, ensuring they are delivered on time and exceed customer expectations. Cross-Functional Collaboration: Work closely with R&D, engineering, and go-to-market teams to ensure seamless execution of product initiatives, managing trade-offs between customer needs and technical constraints.
Customer Focus: Build and maintain strong relationships with customers to deeply understand their pain points, use cases, and security needs. Leverage this understanding to inform product decisions and prioritize features that deliver the most value.
Data-Driven Decision Making: Analyze market trends, customer feedback, and competitive intelligence to make informed product decisions and identify new opportunities for innovation.
Drive Consensus and Communication: Serve as the primary point of contact between stakeholders, facilitating clear and effective communication across teams, including R&D, marketing, sales, and support.
Execution and Delivery: Prioritize rigorously to ensure the timely delivery of product initiatives, working closely with engineering teams to track progress, manage risks, and communicate updates to stakeholders.
Thought Leadership: Stay ahead of industry trends, blockchain technologies, and security challenges, positioning us as a leader in Web3 trust and security.

We're looking for a Senior Product Manager who thrives at the intersection of innovation customer needs, business outcomes, and execution. You'll play a pivotal role in shaping the future of our product portfolio balancing the evolution of existing offerings with the creation of entirely new products from the ground up.
This role is for a strategic thinker and hands-on doer: someone who obsesses over customer problems, validates with data and insight, and drives cross-functional execution with clarity and urgency.
What You'll Do
Customer Obsession: Deeply understand our customers through interviews, usage analytics, and feedback loops. Champion their voice across the company. Product Lifecycle Ownership: Own the full lifecycle from ideation and discovery to roadmap definition, delivery, launch, and iteration. New Product Definition: Identify whitespace opportunities, define vision and MVPs, validate hypotheses, and drive zero-to-one product development. Sustaining Product Growth: Manage and evolve mature products to maintain market fit, improve usability, and drive adoption and retention. Cross-Functional Leadership: Work closely with design, engineering, go-to-market, and customer success teams to ensure product success from every angle. Decision-Making & Prioritization: Balance long-term strategy with short-term impact. Make trade-offs based on data.

As we continue to expand and evolve, were looking for a Senior Product Manager to join our growing team and help shape the future of trust and security in the decentralized world.
Role Overview:
As a Senior Product Manager, you will be responsible for leading the development of core product features that enhance our on-chain security solutions. You will own the product lifecycle from vision to execution, ensuring the product aligns with our overall strategy and delivers value to our customers. Youll work closely with R&D, go-to-market teams, and customers, bringing together technical expertise, market insight, and leadership skills to deliver innovative solutions that meet the needs of the rapidly evolving blockchain space.
Key Responsibilities:
Own the Product Vision and Roadmap: Define and drive the product roadmap in collaboration with leadership and cross-functional teams, ensuring alignment with our overall strategic objectives.
End-to-End Feature Ownership: Lead the ideation, development, and launch of key product features, ensuring they are delivered on time and exceed customer expectations. Cross-Functional Collaboration: Work closely with R&D, engineering, and go-to-market teams to ensure seamless execution of product initiatives, managing trade-offs between customer needs and technical constraints.
Customer Focus: Build and maintain strong relationships with customers to deeply understand their pain points, use cases, and security needs. Leverage this understanding to inform product decisions and prioritize features that deliver the most value.
Data-Driven Decision Making: Analyze market trends, customer feedback, and competitive intelligence to make informed product decisions and identify new opportunities for innovation.
Drive Consensus and Communication: Act as the main point of contact between stakeholders, facilitating clear and effective communication across teams, including R&D, marketing, sales, and support.
Execution and Delivery: Prioritize rigorously, ensure timely delivery of product initiatives, working closely with engineering teams to track progress, manage risks, and communicate updates to stakeholders.
Thought Leadership: Stay ahead of industry trends, blockchain technologies, and security challenges, positioning us as a leader in Web3 trust and security.

Were looking for an experienced and passionate Staff Data Engineer to join our Data Platform group in TLV as a Tech Lead. As the Groups Tech Lead, youll shape and implement the technical vision and architecture while staying hands-on across three specialized teams: Data Engineering Infra, Machine Learning Platform, and Data Warehouse Engineering, forming the backbone of our companys data ecosystem.
The groups mission is to build a state-of-the-art Data Platform that drives our company toward becoming the most precise and efficient insurance company on the planet. By embracing Data Mesh principles, we create tools that empower teams to own their data while leveraging a robust, self-serve data infrastructure. This approach enables Data Scientists, Analysts, Backend Engineers, and other stakeholders to seamlessly access, analyze, and innovate with reliable, well-modeled, and queryable data, at scale.
In this role youll
Technically lead the group by shaping the architecture, guiding design decisions, and ensuring the technical excellence of the Data Platforms three teams
Design and implement data solutions that address both applicative needs and data analysis requirements, creating scalable and efficient access to actionable insights
Drive initiatives in Data Engineering Infra, including building robust ingestion layers, managing streaming ETLs, and guaranteeing data quality, compliance, and platform performance
Develop and maintain the Data Warehouse, integrating data from various sources for optimized querying, analysis, and persistence, supporting informed decision-makingLeverage data modeling and transformations to structure, cleanse, and integrate data, enabling efficient retrieval and strategic insights
Build and enhance the Machine Learning Platform, delivering infrastructure and tools that streamline the work of Data Scientists, enabling them to focus on developing models while benefiting from automation for production deployment, maintenance, and improvements. Support cutting-edge use cases like feature stores, real-time models, point-in-time (PIT) data retrieval, and telematics-based solutions
Collaborate closely with other Staff Engineers across our company to align on cross-organizational initiatives and technical strategies
Work seamlessly with Data Engineers, Data Scientists, Analysts, Backend Engineers, and Product Managers to deliver impactful solutions
Share knowledge, mentor team members, and champion engineering standards and technical excellence across the organization.