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לפני 13 שעות
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
we are looking for an experienced Data Product Manager with a strong Data Science and Analytics background to own and lead data driven solutions.
In this role, you will define and drive the vision, strategy, and execution of data and analytics products that support our Marketing, Growth, and Acquisition teams. You will operate at the intersection of business, analytics, data science, and AI, translating marketing challenges and business questions into scalable data products, clear KPIs, and measurement frameworks that improve acquisition efficiency, ROI, and long-term revenue growth.
You will lead cross-departmental initiatives, partner closely with Marketing leaders, Data Scientists, Data Engineers, Analytics teams, and Product Managers, and ensure that advanced modeling, analytics, and AI capabilities are deeply embedded into day-to-day marketing decision-making.
Requirements:
5+ years of experience in Data Product Management, Data Science Product, Analytics Product, or similar roles in a tech or SaaS environment.
Strong understanding of business analytics, KPI definition, and metrics design, alongside marketing data science, performance marketing, and growth analytics.
Proven experience owning data and analytics products end-to-end, from business problem definition and measurement strategy through strategy, development, and production.
Hands-on experience working with data scientists, analytics engineers, data engineers, and BI/analytics teams.
Ability to translate business questions into analytical frameworks, metrics definitions, dashboards, and experimentation plans.
Familiarity with attribution, MMM, LTV modeling, experimentation, and optimization frameworks.
Strong communication skills and stakeholder management across technical and non-technical teams, with the ability to communicate insights clearly to business leaders.
Advantages:
Experience building or productizing AI-powered or agentic systems.
Background in performance marketing, growth teams or marketing platforms.
Experience in fast-growing or high-scale startups.
Strong understanding of experimentation frameworks.
This position is open to all candidates.
 
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07/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.
Requirements:
5+ years of experience in data product management, or as a technical product manager in a big data environment.
Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
Entrepreneurial mindset- proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (from prototyping through production evaluation).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: Technical background (CS, Engineering, or equivalent practical experience)
Strong advantages:
Experience in fast-moving startup environments or startup within an enterprise.
Built data products: metrics, pipelines, data QA, and insight generation.
Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.
This position is open to all candidates.
 
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07/05/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a first Senior Data Product Manager to join our Retail Intelligence team, reporting to the head of product.
Why is this role so important?
We're looking for a Senior Data Product Manager to drive the strategy, architecture, and execution of the data that power the Retail Intelligence products suite, eCommerce analytics product.
This role sits at the intersection of data infrastructure and customer value - you'll own the datasets, pipelines, and methodologies that help leading brands and retailers make confident decisions about their commerce assets.
What youll experience on this team?
Work with top talent across data, engineering and product teams.
Ship AI-powered capabilities iteratively, improving with every release.
Work with latest technology in an ever-evolving work environment
Operate with a startup mindset: move fast, think big, and build long-term value for customers.
Have direct impact on how customers make business decisions
What youll do as a Senior Data Product Manager?
Own the vision, roadmap, and delivery of the datasets that underpin Retail Intelligence, from eCommerce traffic and conversion data to product-level insights and category benchmarks.
Lead AI integration into internal processes and core features that speed customer decisions.
Define and track data quality metrics (completeness, coverage, freshness, accuracy) and establish validation, logging, and governance frameworks.
Lead modularization of data structures to enable scalability, and continuous improvement.
Stay close to customers and the market through ongoing research and interviews.
Partner with engineering, data science, design, sales, and marketing to deliver and drive adoption.
Requirements:
5+ years of experience in data product management, or as a technical product manager in a big data environment.
Hands-on experience with large-scale data collection, classification, curation, and delivery systems, especially in companies that build or sell data products.
Proven track record in leading cross-functional data initiatives involving data engineering, data science, and analytics teams.
Entrepreneurial mindset- proactive, and effective in ambiguity, moving quickly from insight to execution.
Comfortable in technical, data-heavy environments: collaborate on APIs, pipelines, data quality, and edge cases.
AI fluency: understand how to embed AI into products and internal workflows (from prototyping through production evaluation).
Excellent communication and stakeholder alignment across product, sales, and marketing.
Strong data-driven judgment: define metrics, analyze product/customer data, run experiments, and make clear tradeoffs.
High learning agility, adaptable in a fast-changing data and AI landscape.
Education: Technical background (CS, Engineering, or equivalent practical experience)
Strong advantages:
Experience in fast-moving startup environments or startup within an enterprise.
Built data products: metrics, pipelines, data QA, and insight generation.
Shipped AI features in product workflows: recommendations, forecasting, anomaly detection, insight generation, or AI agents.
eCommerce/marketplace domain experience: ecosystems, digital shelf, conversion funnels, merchandising.
This position is open to all candidates.
 
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לפני 14 שעות
Location: Tel Aviv-Yafo
Job Type: Full Time and Hybrid work
We are looking for a strategic product leader to head Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.
Responsibilities:
Define and drive the roadmap for Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.
Requirements:
4+ years of proven experience leading product teams, with a strong track record of growing people and helping them succeed.
Startup mindset: comfortable with ambiguity, fast growth, and evolving processes, while maintaining focus on scalable solutions.
Proven experience leading B2B products and collaborating with partners and strategic customers to deliver impactful solutions.
Strong technical orientation and curiosity, with the ability to quickly understand complex data systems.
Excellent communication and stakeholder management skills, able to explain complex technical concepts in clear, actionable terms.
Experience leading large-scale data platforms, including data ingestion, transformation, and access layers.
Ability to define and track success metrics, analyze performance, and iterate to optimize platform impact.
Advantages:
Familiarity with healthcare data ecosystems (EMRs, HIEs, clinical data).
This position is open to all candidates.
 
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4 ימים
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Fiverr is looking for a Product Analyst to join our Data team and take ownership over analytics for core product areas. In this role, you will work closely with multiple product and engineering teams, play a key role in product decision-making, and drive business growth through deep data analysis and experimentation. This is a unique opportunity to lead analytics in high-impact product domains and influence decisions at scale.

What am I going to do?:

* Own analytics across core product areas and user flows
* Analyze product performance and derive actionable insights
* Plan, run, and analyze A/B tests end-to-end, including experiment design, metric definition, and impact analysis
* Partner closely with Product Managers and Engineering teams as the data focal point for product decisions
* Build and maintain analytical foundations, including tracking, events, funnels, and data processes
* Proactively monitor key metrics, identify trends or anomalies, and communicate insights to stakeholders
* Create visibility through reports, dashboards, and alerts to support ongoing decision-making
* Lead deep-dive analyses and broader business research as needed

Equal opportunities:
At Fiverr, we prioritize diversity. We celebrate difference and embed it into every aspect of our workplace, from our community to our product. Fiverr is 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, Fiverr will provide accommodation to individuals with disabilities or a special need.
Requirements:
* BSc/BA in Industrial Engineering, Computer Science, Statistics, or a related field
* Strong SQL skills – a must
* 3+ years of experience as a Product / Data / Business Analyst in a data-driven online company
* Proven experience with A/B testing methodologies and statistical analysis
* Experience working closely with Product Managers and cross-functional teams
* Strong business understanding and ability to translate data into product and business impact
* Ability to manage multiple initiatives in parallel and work independently
* Experience with BI tools such as Tableau
This position is open to all candidates.
 
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4 ימים
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Product Manager (Cloud WAF & API Security) to take end-to-end ownership of a core domain within our companys cloud application security portfolio. This role sits at the heart of how modern enterprises protect internet-facing applications and APIs across cloud and hybrid environments-delivering security outcomes without slowing delivery teams.
our companys security products are award-winning and industry-leading, trusted by thousands of customers worldwide. As the Product Manager for Cloud WAF and API Security, you will define the product vision and strategy end-to-end: from deeply understanding customer needs and attacker/market trends, through defining the roadmap and guiding execution, to ensuring successful adoption and long-term value.
You will work closely with engineering, UX, research, product marketing, sales, and customer success-leading complex initiatives across multiple teams. This role requires strong product judgment, the ability to lead through ambiguity, and a passion for building scalable, high-quality cloud security products that solve real customer problems.
A key success factor in this role is strong Agile/SAFe leadership, including experience driving or influencing Agile transformation to improve flow, predictability, and customer impact
Key Responsibilities
Lead the product strategy, vision, and roadmap for Cloud WAF and API Security (WAAP) capabilities, aligned with company goals, customer outcomes, and evolving attacker techniques.
Own customer discovery and problem validation: engage enterprise security teams, platform teams, and developers to understand workflows, constraints, and adoption blockers across cloud environments.
Drive a roadmap that addresses key WAAP areas such as:
Cloud WAF policy and rule management, tuning, and false-positive reduction
API discovery and inventory (including shadow/zombie APIs)
API behavioral anomaly detection
Auth and abuse patterns (e.g., broken auth, BOLA, scraping, credential stuffing) in partnership with bot/abuse controls
Integrations with CI/CD, API gateways, ingress controllers, service mesh, and cloud-native tooling
Observability and analytics (security visibility, attack forensics, risk posture)
Own requirements and prioritize delivery; ensure crisp execution using SAFe/Agile best practices (backlog readiness, PI planning support, dependency management, clear acceptance criteria, outcome-based prioritization).
Contribute to or drive Agile transformation efforts across teams: improve operating cadence, delivery predictability, cross-functional alignment, and measurable outcomes.
Work closely with UX/UI to deliver intuitive workflows for both security and platform teams (policy authoring, onboarding, triage, tuning, and incident response).
Drive end-to-end product delivery from concept to launch: user stories, validation, beta programs, release readiness, and launch execution.
Define success metrics and iterate post-launch using data (adoption, efficacy, performance, cost signals, support escalations, retention/expansion).
Collaborate with product marketing on positioning, messaging, and go-to-market planning for releases and major launches.
Engage with customers, sales, and customer success to gather feedback, address concerns, and identify growth opportunities.
דרישות:
Bachelors degree in Computer Science, Engineering, Business, or related field (MBA a plus).
5+ years of Product Management experience in cybersecurity or adjacent cloud infrastructure domains; experience in enterprise-grade products is strongly preferred.
Cloud WAF / API Security experience with strong understanding of modern web and API threats (e.g., OWASP Top 10 and API Top 10), and practical awareness of how protection works in production environments.
Strong technical foundation in cloud and application delivery concepts (e.g., Kubernetes/ingress, API gateways, microservices, CI/CD, observability, identity signals המשרה מיועדת לנשים ולגברים כאחד.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a sharp, data-driven Senior Product Analyst to join our Tel Aviv team. You will be the analytical backbone of our monetization optimization efforts, focusing on high-velocity testing and monetization strategies. You will support analytics related to product experiments. In this role, you will not only report on results but dive deep into why specific changes occurred, bridging the gap between raw data and product strategy. You will work closely with our Data Science, Product, and Dev teams to ensure data-driven decision-making in a fast-paced environment.
What Youll Do:
A/B Testing & Statistical Analysis
Analyze multiple test results simultaneously, applying rigorous statistical methodologies to validate findings.
Critically evaluate experimental setups to identify and raise flags regarding incorrect test designs or sample biases before they impact decision-making.
Support a high-paced testing environment by providing quick, accurate results and insights to support ongoing optimization efforts.
Deep-Dive Analytics & Insights
Run in-depth deep-dive analyses aimed at explaining why a certain change brought (or didn't bring) the desired result, rather than just reporting the outcome.
Translate complex data outcomes into actionable recommendations that help the team formulate new hypotheses for future tests.
Present findings on user insights to stakeholders, recommending concrete next steps to inform content and product decisions.
Model Evaluation & Collaboration
Work intimately with Data Scientists to evaluate machine learning model performance.
Determine if new models perform better or worse than previous iterations and provide granular feedback to the broader team.
Advocate for new data collection or feature engineering that would improve model accuracy or analysis capabilities.
Requirements:
5+ years of experience in a data analysis or product analyst role, with a strong focus on A/B testing, optimization, or product analytics.
Advanced SQL skills - able to query and manipulate large datasets in a cloud data warehouse environment.
Statistical Expertise: Solid understanding of experimental design in a product context, including sample size calculation, selecting success metrics, and determining statistical significance. You must be able to spot flaws in test design.
Analytical Depth: Strong problem-solving skills with the ability to validate data integrity and conduct root-cause analysis to explain user behavior.
Data Modeling: Solid understanding of data modeling and ETL processes. You can design efficient data tables/views for analysis and are familiar with tools like Rivery or other ETL pipelines to help structure data.
Visualization: Experience with data visualization and BI reporting (especially tools like Looker Studio) to create dashboards that track KPIs over time.
Communication: Excellent communication skills, with the ability to explain complex analytical findings in simple terms to non-technical audiences.
Adaptability: Comfortable working in a dynamic startup environment, with the ability to adapt quickly to changing priorities, projects, and business needs.
B.Sc/B.A. in Statistics, Economics, Business, Computer Science, or a related field.
Advantageous:
AdTech & Monetization Context: Knowledge and experience with the AdTech context and the complex logic behind web monetization.
Python Proficiency: Programming skills in Python for executing quick, repetitive analyses and automating analytical workflows.
Advanced Modeling Implementation: The knowledge to run advanced data analysis or to implement custom predictive models beyond basic SQL, utilizing existing libraries and/or tools developed by the internal Data Science team.
This position is open to all candidates.
 
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חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
Realize your potential by joining the leading performance-driven advertising company!
As a Senior Product Manager for Attribution & Incrementality on the Product team in our Tel Aviv office, youll play a vital role as the industry moves beyond last-click attribution, building the measurement frameworks that prove our company isnt just capturing demand, but creating it. From Geo-Holdout testing to Source of Truth integrations to Marketing Mix Modeling partnerships, youll create tools, form partnerships, and craft best practices that make our impact visible, credible, and compounding, giving advertisers the confidence to scale their investment. Working closely with the Client Measurement Director and global enterprise teams in the US, EMEA, and APAC, youll meet clients face-to-face to build trust, validate strategy, and turn measurement into a strategic growth driver.
How youll make an impact:
Define the Truth Framework: Own the product vision for how we prove causality (Lift, MMM, and Incrementality) across the advertiser journey - unlocking advertiser trust and convincing them to scale budgets
Strategic Commercial Influence: Act as the Measurement Consultant for our biggest clients. Translate complex data science into compelling narratives that help Sales teams unlock enterprise budgets
Scale Through Ecosystem Integration: Define our position in the measurement stack. Decide when we build proprietary tools (in-house geo-holdout testing, advanced attribution), when we partner (GA4, CM360, Measured, Rockerbox), and when we disrupt
Source of Truth Strategy: Build integrations with leading measurement platforms so advertisers can validate Realize performance in their preferred system - meeting them where they are
Co-prioritize with Customer Measurement: Balance enterprise demand with product scalability, working alongside the Measurement Director to align on roadmap priorities.
Requirements:
To thrive in this role, youll need:
Attribution Mastery: 5+ years in PM with deep expertise in the tension between MTA, MMM, and Incrementality. You know why Last-Click is a lie and how to sell the alternative.
Strategic Domain Ownership: Ability to own a domain end-to-end - define the vision, align stakeholders across R&D, Sales, and Marketing, and drive commercial outcomes.
Commercial Storytelling: A proven track record of translating technical measurement outcomes into reasons to buy for C-level marketing executives.
Enterprise Discovery & Client-Facing: Experience presenting directly to enterprise advertisers and conducting measurement-focused discovery. Youll work closely with the Client Measurement Director and enterprise business teams (Sales, Account Management) to drive adoption. Willingness to travel globally.
Data Fluency & Technical Partnership: A systems-thinking mindset with the ability to partner deeply with Data Science and Engineering. Comfortable navigating technical trade-offs (e.g., precision vs. latency) and leveraging AI tools to accelerate discovery and analysis.
Bonus points if you have:
Background in Measurement Consulting or a lead role at a major Attribution/MMM vendor
Experience building self-service SaaS tools that automate complex data workflows
A track record of influencing $50M+ in annual ad spend through measurement-led insights.
This position is open to all candidates.
 
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13/04/2026
חברה חסויה
Location: Tel Aviv-Yafo
Job Type: Full Time
As a Product Manager at our company, you will own and evolve core product experiences that power how businesses manage and optimize their financial workflows. You will lead cross-functional initiatives across engineering, design, sales, and customer teams to deliver scalable, reliable, and intuitive solutions. As part of our evolution, you will help shape AI- and agent-driven workflows that redefine how financial operations are built and experienced. You will drive product initiatives end-to-end, identify new opportunities for growth, and ensure alignment with business goals and regulatory requirements.
Responsibilities
Own a core product domain, driving strategy, execution, and outcomes.
Collaborate with cross-functional teams including engineering, design, sales, and marketing to define requirements and deliver high-impact solutions.
Work closely with internal stakeholders and external partners to understand APIs, integrations, and system constraints.
Engage directly with customers and prospects to understand their workflows, validate solutions, and support enterprise conversations.
Translate complex business processes into simple, scalable, and user-friendly product experiences.
Define and ship AI-powered and agent-based product capabilities, both in customer-facing workflows and internal tooling.
Continuously monitor and improve product performance across both technical reliability and key business metrics.
Stay informed about industry trends, regulatory changes, and emerging technologies to identify new opportunities.
Requirements:
4-6 years of product management experience in a product-centric company.
Experience in fintech or complex B2B systems, or strong ability to ramp quickly.
Strong technical fluency, with the ability to work closely with engineers on APIs, data flows, and system design.
Excellent communication and stakeholder management skills, including experience working with or presenting to enterprise customers.
Strong product sense and UX intuition, especially in complex workflows.
Curiosity and adaptability to work with AI-driven product development and agent-based systems.
Analytical mindset with the ability to use data to inform decisions and prioritize effectively.
Self-motivated and results-oriented, with the ability to operate independently and manage multiple initiatives.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
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מודים לך שלקחת חלק בשיפור התוכן שלנו :)
13/04/2026
Location: Tel Aviv-Yafo
Job Type: Full Time
We are looking for a Senior Product Manager to own the Customer Support and Sales domain within our proprietary commerce platform, including its integrations with third-party tools and vendors. In this role, you will be the product owner of a critical internal SaaS system used daily with direct impact on revenue protection, customer satisfaction, and operational efficiency.
You will define the product strategy and roadmap for this domain, work closely with Senior Leadership to align on priorities and trade-offs, and partner with Customer Support, Sales, Operations, Finance, R&D, Design, and Data teams to deliver scalable solutions in a fast-moving, ambiguous environment. This is a high-ownership role and the ability to drive change across the organisation.
Roles & responsibilities:
Own the end-to-end product lifecycle for internal Customer Support and Sales tools, from discovery and user research through delivery, launch, adoption, and ongoing optimization
Understand the needs, workflows, and constraints of support and sales teams, and translate business goals such as revenue protection, efficiency, and CX improvement into a clear product strategy and measurable outcomes
Design and deliver solutions that help teams resolve customer issues faster and prevent revenue loss, including proactive cancellation prevention, smarter refund and return flows, and workflow automation
Build sales-enablement capabilities that improve conversion, upsell, and cross-sell effectiveness, and average order value
Lead cross-functional execution and change management by aligning stakeholders across Customer Support, Sales, Operations, Finance, R&D, Design, and Data, and driving adoption of new tools and processes
Evaluate and integrate third-party platforms and vendors, making informed build-vs-buy decisions with a focus on scalability, cost, and long-term maintainability
Identify opportunities to simplify complex workflows, reduce manual effort, and scale operations through better product design, automation, and data
Define success metrics, track business and operational impact, and use data and qualitative feedback to continuously prioritise and improve outcomes, with visibility to senior leadership.
Requirements:
5+ years of Product Management experience in SaaS, e-commerce, or other operationally complex product environments)
Experience owning and developing internal products or platforms used by Customer Support, Sales, Operations, or similar teams
Experience with customer support and/or sales workflows, such as order management, refunds, cancellations, returns, and service recovery
Ability to operate in ambiguous environments, make thoughtful trade-offs, and balance customer experience, operational efficiency, and business impact
Data-oriented Product Manager with the ability to define success metrics and use data to inform prioritisation and decisions
Strong communication and stakeholder-management skills, with experience working cross-functionally across Product, Engineering, Design, Operations, and Senior Leadership
Ability to translate business and operational needs into clear product requirements and execution plans
Background with AI-powered workflows, automation, or decision-support systems
Fluency in English and experience working with global teams and users across multiple regions.
This position is open to all candidates.
 
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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8608733
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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 :)
16/04/2026
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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הגשת מועמדותהגש מועמדות
עדכון קורות החיים לפני שליחה
עדכון קורות החיים לפני שליחה
8614184
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