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3 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
Director, Business Intelligence & AI to join our Business Applications organization. This is a senior individual contributor role with a director title and light team leadership (5 people), sitting at the intersection of data strategy, architecture, and execution. You'll own the data foundation that powers our company's most critical business decisions - from GTM and revenue analytics to operational intelligence across the organization.

You'll report to the VP of Business Applications and work closely with stakeholders across Finance, Sales, Marketing, Customer Support, Product, R&D, and HR to ensure our data assets are trustworthy, scalable, and increasingly AI-ready



What will you do?

Architecting the data foundation that makes it possible for business users to ask questions in plain English and get trusted, real-time answers.
Define and execute a strategy to migrate from traditional BI (dashboards, scheduled reports) toward AI-powered, natural language interfaces for business intelligence
Architect the data layer that enables LLM-based querying - including semantic layers, vector stores, knowledge graphs, and metadata enrichment - so that AI agents can reliably reason over company data
Design and own a scalable, AI-ready data architecture - warehouse/lakehouse structure, semantic layer, and data contracts - that supports both analytical and AI/ML workloads
Build robust data modeling foundations (clean entities, clear metrics definitions, consistent taxonomies) that LLMs can reason over accurately
Serve as a trusted advisor to business leaders across GTM, Customer Success, Finance, and Product - proactively engaging them to understand their decision-making needs
Translate ambiguous business questions ("why is churn spiking in the mid-market?") into well-defined data problems, and then into scalable, AI-powered solutions
Build strong relationships with stakeholders at all levels - from individual analysts to VP and C-suite - and maintain a prioritized roadmap that reflects real business value
Requirements:
6+ years in data engineering, data architecture, or BI, with strong hands-on technical depth
Proven experience or deep knowledge of architectures that power natural language querying over structured business data - including semantic layers, LLM-to-SQL patterns, and AI/BI platforms
Solid data modeling foundations - dimensional modeling, data contracts, metrics layers - and an understanding of how these underpin reliable AI outputs
Experience with modern data stack: Snowflake, dbt, ETL/ELT tooling
Experience with automation and integration platforms (WORKATO, e.g.)
Genuine excitement about the shift from traditional BI to conversational, agentic intelligence - and the technical judgment to do it right
Strong business acumen - able to understand GTM, CS, and Support workflows deeply enough to proactively identify where data and AI can create leverage
Proven track record of building trusted partnerships with business stakeholders, influencing roadmaps, and driving adoption of data solutions.
Genuine curiosity about how businesses operate, and the ability to ask the right questions before jumping to solutions.
Strong communicator who can bridge technical architecture decisions with business use cases for non-technical stakeholders.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Data Warehouse Tech Lead to drive the technical vision and execution of our data infrastructure that powers decision-making across.
You'll lead both the technology and the business coordination for our data warehouse - architecting scalable solutions while working closely with stakeholders and data providers to ensure our platform serves the entire organization's needs. This role combines deep technical leadership with strategic business partnership as we build next-generation data stack.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
Lead technical architecture - design and develop scalable data warehouse solutions that support multiple products and serve the entire organization's analytics needs
Manage the technical roadmap - set strategy and guide execution for the Data Warehouse team, ensuring our platform evolves with business requirements
Drive business process coordination - translate business needs into technical requirements while establishing clear data contracts with R&D, Analytics, and external data providers
Establish and implement best practices - set technical standards for data warehouse architecture, performance tuning, and development methodologies that guide the entire team's approach to building scalable data solutions
Create and maintain sustainable data pipelines - build resilient systems capable of handling unstructured data and managing an evolving schema registry across diverse data sources
Implement advanced data modeling - create robust data structures using methodologies like dimensional modeling, and optimize ETL/ELT processes for our semantic layer
Establish data quality standards - build processes for schema evaluation, anomaly detection, and monitoring data completeness and freshness across all sources
Lead cross-team collaboration - work directly with Data Engineers, ML Platform Engineers, Data Scientists, Analysts, and Product Managers to align technical solutions with business goals
Requirements:
7+ years as a BI Engineer or Data Engineer, with 2+ in a technical leadership or architect role
Proven experience managing complex data warehouses that serve multiple products and entire organizations
Strong expertise in data modeling, ELT development, and data warehouse methodologies
Advanced SQL skills and hands-on experience with Snowflake or similar cloud-native data warehouse platforms
Extensive experience with dbt for data transformation and modeling
Python and software development experience (a strong plus)
Excellent communication skills - you can mentor technical team members and explain complex data concepts to business stakeholders
Ready to work in an office environment most days of the week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture
This position is open to all candidates.
 
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09/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Product Manager to lead our Intelligence layer - a foundational system that transforms how matching works across the platform. This role owns the development of our Knowledge Graph and data systems, connecting buyer intent, project scope, seller capabilities, and real delivery outcomes into a unified intelligence layer. You will lead the effort to transform our unstructured marketplace data into structured, outcome-linked signals, forming the foundation for systems that can understand context, reason about fit, and improve matching decisions across the platform. This intelligence layer will power a wide range of capabilities - including retrieval, ranking, personalization, and future AI-native experiences.



What am I going to do?:

* Own our Marketplace Intelligence layer, defining the vision, strategy, and roadmap for context-aware, outcome-driven systems
* Lead cross-functional execution of complex systems, partnering with engineering, data science, and product teams to build scalable, reliable, and explainable solutions
* Lead the evolution of our Knowledge Graph and signal ecosystem, connecting marketplace data to real outcomes
* Drive the use of structured signals to improve matching, personalization, and discovery across the platform
* Navigate ambiguity and define structure across a problem space spanning data, modeling, and product experience
* Drive adoption of these capabilities across key surfaces such as Job Post, Search, and CRM
* Continuously identify gaps in data, signals, and marketplace understanding
* Manage technical complexity while connecting infrastructure efforts to clear business impact

Equal opportunities:
We prioritize diversity. We celebrate difference and embed it into every aspect of our workplace and product, as well as our community. We are proud and committed to providing equal opportunity employment to all individuals regardless of race, color, religion, sex, sexual orientation, citizenship, national origin, disability, Veteran status, or any other characteristic protected by law. In addition, we will provide accommodation to individuals with disabilities or a special need.
Requirements:
* 5+ years of product management experience in data -intensive or technical domains, ideally working on systems that involve data modeling, signals, or decision-making infrastructure.
* Strong technical background in data systems, ML infrastructure, or engineering; experience working with large-scale data pipelines and transforming unstructured data into structured signals.
* Experience building or scaling systems related to search, recommendation, ranking, or marketplace matching.
* Strong understanding of how systems make decisions based on signals, context, and historical data, not just surface-level metrics.
* Proven track record of leading cross-functional teams to deliver complex, technically challenging products with measurable business impact.
* Ability to operate in ambiguity and drive clarity through structured thinking, system design, and strong execution.
* Excellent communication and collaboration skills, especially in highly technical and cross-functional environments.
* Strong product intuition for what drives real-world success and outcomes, beyond engagement or conversion metrics.
* Experience working with knowledge graphs, embeddings, or entity-based systems is a strong advantage.
* Familiarity with AI/LLM systems (e.g., prompt orchestration, evaluation, or data pipelines) is a plus.
Were not about checklists. If you dont meet 100% of the requirements for this role but still feel passionate about the position and think you have the right skills and qualifications to excel at it, we want to hear from you.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Required Software & Data Engineer
Tel Aviv
We are on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, we are recognized as the leading transportation technology and service provider globally.
As a Software & Data Engineer, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how we understand and improve our service for cities and riders around the world.
About the Role:
Design and build highly scalable, reliable data pipelines that serve clean, structured data across our engineering, product, and business teams - ensuring the entire organisation can trust the data it works with
Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale
Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement
Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on
Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how we operate
Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena.
Requirements:
5+ years as a Data Engineer with production-grade Python and SQL
Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery).
Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns.
Platform mindset: reliability, observability, and systematic production debugging.
Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments.
AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance
Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau
Passionate about data and genuinely curious about technology - you're the kind of person who identifies a gap, designs a solution, and sees it through without being asked
A strong collaborator who thrives working across engineering and business teams, comfortable translating ambiguous business needs into precise, well-designed data models
Self-driven and comfortable navigating complexity independently - you bring clarity to hard problems and raise the bar for the people around you.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior BI Data Engineer to join our BI team and take end-to-end ownership of high-impact analytics foundations. This role sits at the core of how measures success, makes decisions, and scales - turning raw data into trusted, business-critical insights used across Product, GTM, and Finance.
Youll design and evolve data models, pipelines, and the BI layer, work closely with Data Science and business stakeholders, and help raise the bar for analytics engineering across the company.
Hands-on experience using GenAI to improve analytics engineering workflows, automate development processes, and increase delivery speed is a must for this role.
This role is based in Tel Aviv. We work in a hybrid model, with 3 days a week in the office.
This might be for you if:
You enjoy owning data foundations end to end - from raw data to semantic layers
You like turning ambiguous business questions into clear, governed metrics
You care about data quality, performance, and trust at scale
You enjoy mentoring, setting standards, and leading by example
You actively leverage AI tools to improve development speed and analytical accuracy
Requirements:
5+ years of experience in BI / Data Engineering roles with ownership of scalable data platforms
Deep experience with modern data stacks (Snowflake or Databricks, dbt)
Advanced SQL and Python skills, including data quality, CI/CD, and observability
Strong understanding of dimensional modeling, data warehousing, and semantic layers
Experience with orchestration tools (Airflow) and large-scale data processing
Proven experience using GenAI tools as part of your day-to-day development workflow
A strong builder mindset, business orientation, and ability to lead cross-functional initiatives
Nice to have:
Experience with streaming technologies (Kafka, Spark).
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Product Manager to lead the Commerce Core domain, owning the platforms and operational infrastructure that power the entire customer journey and order lifecycle from catalog and checkout to fulfillment, customer support, and post-purchase experiences. This is a strategic, highly cross-functional role focused on building scalable internal systems and complex commerce capabilities that sit at the core of the business. You will drive product strategy, prioritization, and execution across high-scale platforms with direct business impact, partnering closely with Engineering, Data, Operations, CS, Growth, and Marketing teams. This is a unique opportunity to shape how our business scales its commerce platform and internal operations, while continuously improving business efficiency, operational excellence, and the end-to-end customer experience.

Roles & responsibilities:
Lead the product core commerce platform, from vision to execution, while driving scalable solutions with direct business impact.
Own the commerce domain end-to-end, including product catalog, cart and pricing logic, checkout flows, payment integrations, and order lifecycle management.
Shape the next generation of the Commerce domain:
Build the foundations for AI-driven and automated commerce experiences
Enable flexible commerce capabilities through APIs, Agentic shopping experience, and scalable platform architecture.
Help position Resident for the evolving ecommerce landscape, where AI agents, automation, and personalization become an integral part of the buying journey.
Build and scale internal commerce platforms and tools that support operational efficiency and business growth across Growth, Marketing, Operations, Customer Support, and Data teams.
Partner closely with Engineering and Data teams on system architecture, integrations, scalability, api contracts, and operational infrastructure.
Translate complex operational and business needs into scalable systems, workflows, and product capabilities.
Lead cross-functional initiatives across multiple stakeholders, balancing competing business needs and driving alignment across the organization
Plan and manage engineering sprints to deliver greater value to the customer and the company.
Define the scope for both features and initiatives, clearly articulating the rationale behind decisions.
Identify opportunities to leverage automation and AI-driven operational tools and emerging agentic tools.
Continuously improve the scalability, operational efficiency, and customer experience enabled by Residents commerce ecosystem.
דרישות:
5+ years of Product Management experience, with proven end-to-end ownership of complex ecommerce or platform products.
Deep experience with end-to-end ecommerce customer journeys, including catalog, cart, checkout, payments, fulfillment, order lifecycle, and post-purchase experiences.
Proven experience building and scaling complex internal platforms, operational systems, and business-critical processes in high-scale environments.
Strong ability to lead cross-functional initiatives, balance competing business needs, and drive prioritization across multiple stakeholders and teams.
Strong product and systems thinking, with the ability to translate operational complexity into scalable product solutions.
Experience with AI - a must, experience with agentic commerce - major plus
Experience partnering closely with Engineering and Data teams on system architecture, integrations, scalability, and data-driven products.
Excellent communication and stakeholder management skills, with experience influencing leadership and driving alignment across the organization.
Highly analytical and metrics-driven, with experience defining KPIs, measuring impact, and driving continuous optimization.
Proficiency in English with experience working across global teams
Experience with ecommerce platforms such as Shopify, Magento, or custom commerce infrastructures - maj המשרה מיועדת לנשים ולגברים כאחד.
 
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17/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Analytics Engineer to help design and build the engineering foundation that powers analytics across the organization.
Our goal is to create a modern data environment where analytics development is fast, reliable, scalable, and increasingly automated. This includes building strong data warehouse foundations, scalable modeling layers, and introducing AI-powered tools and automation that accelerate how data products are built and used.
In this role, you will be part of an analytics squad, working closely with analysts and business stakeholders while building the infrastructure, automation frameworks, and intelligent tooling that enable analytics to scale across the organization.
This is a unique opportunity to help build the next generation of the data organization.
Key Responsibilities:
Lead AI adoption in the analytics platform, building tools and workflows that automate analytics development, dashboards, and data exploration
Design and build scalable data warehouse models and transformation layers
Build and optimize ETL pipelines and core analytics infrastructure (Bronze / Silver)
Improve performance, reliability, and scalability of the analytics platform
Develop automation and internal tools that accelerate analytics workflows
Enable self-serve data access across the company through semantic layers and reusable datasets
Collaborate with analysts and business teams within an analytics squad
Requirements:
6+ years of experience in Data Engineering and Analytics Engineering roles, building modern data warehouses and analytics platforms using technologies such as BigQuery, dbt, and Python
Experience with workflow orchestration (Dagster, Airflow, or equivalent) and building reliable, observable data pipelines
Hands-on experience using AI coding platforms and tools to automate data engineering and analytics workflows
Strong engineering practices including version control (Git), testing, code reviews, and CI/CD
Experience building automation systems and internal tools for data teams
Experience working closely with analysts, product teams, and business stakeholders in analytics-driven environments
Strong problem-solving skills with a builder mindset
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.
You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.
Requirements:
Experience: 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
Hands-on experience with Data infrastructure experience (Orchestration, scalability, reliability, and cloud architecture).
Data Movement & Integration: Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
Technical Depth: Deep understanding of database internals. High proficiency in Python and SQL. You can dive into code when necessary to solve complex issues.
Modeling & Architecture: Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
GenAI & RAG Expertise: You have practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
Business Acumen: A strong ability to understand business objectives and translate them into technical strategies that drive tangible value.
Leadership and Communication: As this is a central role in the product tech organisation, you will need a strong ability to influence engineering teams and drive consensus without direct authority. You must have excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We're looking for a Senior Business Analyst to help build the technical foundation that powers revenue measurement and business growth across our Pet and EU insurance lines. You'll join our Analytics team in Tel Aviv to create the data infrastructure that turns customer journeys into measurable opportunities. scales across insurance lines, this role bridges the gap between raw data and the automated systems that drive our AI-powered revenue growth.
We believe three things matter for every role: drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role you'll:
support EU and Pet from a business perspective and facilitate strategic analysis to find growth strategies.
Automate revenue measurement systems by taking existing MMM, incrementality, and attribution models and building the ETL logic layer that makes them work together autonomously
Drive MarTech and revenue automation through DBT models that ensure seamless data flows between our warehouse and platforms like Google Ads and AppsFlyer
Contribute to partnership systems by supporting the technical rebuild of our partnership data infrastructure for accurate tracking and attribution of third-party leads
Collaborate with Data Platform teams to ensure revenue requirements are reflected in our data stack, acting as the technical bridge between raw data lakes and business analytics
Enable revenue squads by building shared DBT models and centralized tracking systems that Car, Pet, and Renters teams need to hit their DTC goals
Build scalable frameworks that turn analytical concepts into production-grade, automated pipelines within our data warehouse
Requirements:
Adaptability, drive, and an efficiency mindset - we believe these matter most in human-AI collaboration
5+ years as a Business or Marketing analyst in a technical data role, ideally in fast-paced B2C or FinTech environments
Expert-level SQL skills for writing complex, performant queries and managing large-scale datasets
Strong hands-on experience with ETL processes and data modeling - experience with DBT and Snowflake is a plus
Strong understanding of the advertising ecosystem and how data flows through Google Ads, Meta ads, AppsFlyer, and tag management systems
Ability to take existing analytical concepts and turn them into automated, production-grade pipelines
Solid understanding of revenue measurement concepts like attribution, incrementality, and MMM in a DTC context
Ability to work effectively with Engineering, DWH, Product, and Revenue, while serving as a technical partner to the revenue analytics team - scaling impact by building the shared infrastructure and automated workflows needed to execute their work
Bachelor's degree in a quantitative field like Mathematics, Statistics, Computer Science, or similar
Ready to work in an office environment most days of the week
Enthusiasm about learning and adapting to the exciting world of AI - a commitment to exploring this field is a fundamental part of our culture
This position is open to all candidates.
 
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1 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Staff Data Platform Engineer to join our Engineering team and lead the evolution of our next-generation data platform. In this high-impact role, you will operate as a player-coach: you will be the technical visionary responsible for designing the ecosystem, while remaining deeply hands-on to implement scalable, secure, and intelligent solutions that power everything from operational reporting to advanced GenAI applications.
You will bridge the gap between complex business requirements and technical execution, advocating for a data-first culture. This role offers a clear growth path: while it currently starts as an individual contributor position, it has the potential to evolve into a leadership role.
Requirements:
Experience: 8+ years of hands-on experience in Data Engineering and Architecture, with a track record of building and shipping platforms at scale.
Experience with modern big data platforms such as Snowflake, Databricks, or similar technologies.
Hands-on experience with Data infrastructure experience (Orchestration, scalability, reliability, and cloud architecture).
Data Movement & Integration: Deep understanding of data movement strategies, including high-frequency batching, CDC, and real-time event streaming.
Technical Depth: Deep understanding of database internals. High proficiency in Python and SQL. You can dive into code when necessary to solve complex issues.
Modeling & Architecture: Strong know-how in dimensional modeling and schema design (relational and NoSQL), with proven experience implementing Data Warehouse or Lakehouse architectures.
GenAI & RAG Expertise: You have practical experience architecting and building RAG (Retrieval-Augmented Generation) pipelines, with specific knowledge of Vector Databases, Embedding Models, and LLM Orchestration frameworks.
Business Acumen: A strong ability to understand business objectives and translate them into technical strategies that drive tangible value.
Leadership and Communication: As this is a central role in the product tech organisation, you will need a strong ability to influence engineering teams and drive consensus without direct authority. You must have excellent communication skills to explain complex architectural concepts to C-level stakeholders and non-technical partners.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8700235
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שירות זה פתוח ללקוחות VIP בלבד
סגור
דיווח על תוכן לא הולם או מפלה
מה השם שלך?
תיאור
שליחה
סגור
v נשלח
תודה על שיתוף הפעולה
מודים לך שלקחת חלק בשיפור התוכן שלנו :)
10/06/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
Were looking for a Senior Product Manager to lead our companys Intelligence layer - a foundational system that transforms how matching works across the platform.
This role owns the development of our companys Knowledge Graph and data systems, connecting buyer intent, project scope, seller capabilities, and real delivery outcomes into a unified intelligence layer.
You will lead the effort to transform our companys unstructured marketplace data into structured, outcome-linked signals, forming the foundation for systems that can understand context, reason about fit, and improve matching decisions across the platform.
This intelligence layer will power a wide range of capabilities - including retrieval, ranking, personalization, and future AI-native experiences.
What am I going to do?
Own our companys Marketplace Intelligence layer, defining the vision, strategy, and roadmap for context-aware, outcome-driven systems
Lead cross-functional execution of complex systems, partnering with engineering, data science, and product teams to build scalable, reliable, and explainable solutions
Lead the evolution of our companys Knowledge Graph and signal ecosystem, connecting marketplace data to real outcomes
Drive the use of structured signals to improve matching, personalization, and discovery across the platform
Navigate ambiguity and define structure across a problem space spanning data, modeling, and product experience
Drive adoption of these capabilities across key surfaces such as Job Post, Search, and CRM
Continuously identify gaps in data, signals, and marketplace understanding
Manage technical complexity while connecting infrastructure efforts to clear business impact.
Requirements:
5+ years of product management experience in data-intensive or technical domains, ideally working on systems that involve data modeling, signals, or decision-making infrastructure.
Strong technical background in data systems, ML infrastructure, or engineering; experience working with large-scale data pipelines and transforming unstructured data into structured signals.
Experience building or scaling systems related to search, recommendation, ranking, or marketplace matching.
Strong understanding of how systems make decisions based on signals, context, and historical data, not just surface-level metrics.
Proven track record of leading cross-functional teams to deliver complex, technically challenging products with measurable business impact.
Ability to operate in ambiguity and drive clarity through structured thinking, system design, and strong execution.
Excellent communication and collaboration skills, especially in highly technical and cross-functional environments.
Strong product intuition for what drives real-world success and outcomes, beyond engagement or conversion metrics.
Experience working with knowledge graphs, embeddings, or entity-based systems is a strong advantage.
Familiarity with AI/LLM systems (e.g., prompt orchestration, evaluation, or data pipelines) is a plus.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8688283
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שירות זה פתוח ללקוחות VIP בלבד