לוח משרות דרושים בתל אביב יפו

as a Software Engineer will be critical to the companys success. You will build a strong and robust infrastructure integrated with the platform to acquire security insights. You and the team will design, develop and maintain out-of-the-box modules, algorithms and extensions while working with highly talented engineers.



What you'll do:
Design and build high-performance and distributed infrastructure for search and pipeline products
Integrate with the platform and be a key player in its design and development
Develop extendable libraries and utilities which will speed-up our implementations and make sure were building scalable and high-quality solutions
Work closely with product and other R&D teams
Help with solving complex customer issues with our solutions and platform

We are looking for a Technical Customer Success Manager (TCSM) to join our growing Customer Success Team who are a key in helping our valued customers achieve their strategic objectives and maximum value from their investment . This will include helping identify new use cases and growth opportunities by informing the customer of our latest innovations, and capabilities and matching these to the clients business goals, while also identifying revenue opportunities. The TCSM serves as the trusted advisor and the business liaison between the customer and all cross-functional teams , including our Executive team, Product Management, Engineering, Solution Architects, Training and Enablement, and others.

What you'll do:
Manage a portfolio of up to 30 accounts throughout their lifecycle with .
Build strong customer relationships by engaging early as the customer transitions from the PreSales phase to deployment. Work with customer and account teams to define success plans and strategy to meet customers objectives.
Guide the customer through the implementation phase, delivering use cases and value, leading them to an operationalized state.
Responsible for overall health and retention of the assigned customers, maximizing customer satisfaction (NPS scoring) and driving adoption and value for growth and reference-ability.
Reporting Risks and Wins internally to account team and externally to account sponsors and executives.
Understand customer product issues and feature requests in order to represent the appropriate priority and voice of the customer with the product team.
Establish regular cadence (Monthly, Quarterly, Digital) with each assigned customer, to provide guidance, review executive dashboards and open issues, and communicate program status. This includes delivering Executive Business Reviews to ensure alignment on goals and value realization.
Leverage Gainsight to track account activity, health score, risk, and other critical metrics.
Maintain current functional and technical knowledge of the platform and future products.
Drive up utilization of the platform and recommend additional features that can be leveraged to improve their security posture
Build trusted relationships with relevant, technical users and manage stakeholders within assigned accounts
Serve as a customer advocate to guide other resources towards achieving customer goals
Validate customer deployment and configuration align with business use cases.
Validate that use cases are appropriately captured and delivered in a timely manner
Maintain knowledge of 3rd Party solutions and integrations/interoperability with the platform within the assigned customer environments
Providing technical subject matter expertise where applicable aligned to the expected proficiency
Collaborating with Engineering, Product, Support and Sales teams to drive account success

As a Data Scientist at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. By applying your technical skills, analytical mindset, and product intuition to one of the richest data sets in the world, you will help define the experiences we build for billions of people and hundreds of millions of businesses around the world. You will collaborate on a wide array of product and business problems with a varied set of cross-functional partners across Product, Engineering, Research, Data Engineering, Marketing, Sales, Finance and others. You will use data and analysis to identify and solve product development's biggest challenges. You will influence product strategy and investment decisions with data, be focused on impact, and collaborate with other teams. By joining Meta, you will become part of a world-class analytics community dedicated to skill development and career growth in analytics and beyond.
Product leadership: You will use data to shape product development, quantify new opportunities, identify upcoming challenges, and ensure the products we build bring value to people, businesses, and Meta. You will help your partner teams prioritize what to build, set goals, and understand their product's ecosystem.
Analytics: You will guide teams using data and insights. You will focus on developing hypotheses and employ a varied toolkit of rigorous analytical approaches, different methodologies, frameworks, and technical approaches to test them.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Scientist, Product Analytics Responsibilities
Defining new opportunities for product impact Influencing product and sales to solve the most impactful market problems
Apply your expertise in quantitative analysis and the presentation of data to see beyond the numbers and understand how our users interact with our growth products
Work as a key member of t.

The Community Experience Manager is responsible for leading the sites community experience strategy, ensuring alignment with regional and global initiatives. This role leads the design and delivery of programs, events, and communications that foster a vibrant site and employee engagement. The Community Experience Manager builds and maintains relationships with leaders and cross-functional partners, manages the site budget, and ensures the effective execution of all office-related programs. The role requires strategic vision, project management, and the demonstrated experience to drive continuous improvement in an agile environment.
Community Experience Manager Responsibilities
Partner with Head of Office and other key leaders on site-specific strategy to engage their community and enhance connection to Metas work, mission, and employees. This should align with strategic global and regional initiatives to further People@ goals
Strategically lead the execution of novel programs that build community based on local need, whilst delivering regional programs and traditions, which could include, but not limited to: Local Office Welcome, All Hands, Recognition Programs, Series, Leadership Visits, Tech Portfolio Events, Community Week
Own the efficient spending and effective tracking of Local Community Experience budget. Upkeep fiscal hygiene by ensuring all relevant tracking documents are completed
Lead communications for site including general announcements, group moderation, acting as the site sponsor for company-wide Metamate Meetups (ie. holiday party, summer party, Global Metamate Meetups) and own the internal site brand
Support the Metamate Meetup event execution alongside Community Experience Partner, as needed
Ensure the collection of relevant data in line with the Community Experience teams objectives and effective use of event Customer Relationship Manager System. Provide local contextualisation and subsequent analysis in order to inform local/ regional/ global strategy
Build and maintain a Cross Functional Leadership Council to gain insights, share impact, and advance site goals. Own Cross Functional Partner Relationships with key teams that influence local site experience (Facilities, Audio Visual, Meta Resource Groups, Human Resources Business Partners, Policy)
Build & maintain escalation paths for office related issues, feedback, concerns, and suggestions, and triages accordingly. Proactively identify and address risks, issues & opportunities for the office and manage accordingly. Advocates for sites needs and requirements
Work with Community Experience Operations Specialists to process contracts, purchase orders, purchase requests, payment, reconciliation and relevant documentation, as required
Support our scaled delivery model by partnering with local Points of Contact in dispersed sites to deliver Community Experience programming and scale our teams impact
Participate on Site resiliency team.

We seek an experienced and highly skilled Senior Engineer to join our Data Platform Team. This is an exciting opportunity to work on cutting-edge technologies, drive innovation, and play a key role in designing and implementing the companys data infrastructure and architecture.
What you'll do:

Database Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve database infrastructure, including PostgreSQL, MongoDB, SingleStore, and AWS Aurora.


Big Data Infrastructure Development - Design, develop, and maintain scalable and reliable self-serve big data infrastructure, including cloud-agnostic data lakehouse, distributed databases, and platform-powered data pipelines.


End-to-End Ownership - Take responsibility for the entire lifecycle of data infrastructure, from DevOps (Terraform, Kubernetes) to application-level components (infrastructure libraries, core components in data pipelines).


Architecture Leadership: Collaborate with the Architecture group to define and maintain the companys core architectural vision.


Partner with development teams, providing technical guidance, best practices, and support from the design phase to production deployment.


Innovation and Exploration - Work on diverse and impactful projects across different layers of the tech stack, exploring new technologies and approaches to improve reliability, efficiency, and scalability.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Solve challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Improve logging
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts
Influence product and cross-functional teams to identify data opportunities to drive impact.

We are looking for a Frontend Architect to lead the evolution of engineering foundations - across both frontend and backend domains.

This role blends technical leadership, team management, and strategic impact. Youll guide a multidisciplinary team responsible for developer experience, infrastructure, and governance across the R&D organization.

The teams mission is to increase developer velocity, ensure product quality, and strengthen engineering consistency across all products - from web applications to backend microservices.

While the team spans both domains, we are looking for someone that has a stronger orientation toward frontend and web infrastructure - UI frameworks, build systems, shared component libraries, and developer tooling.
What Youll Do
Technical & Strategic Leadership
Define and own the vision and roadmap for development platform, including web, backend, and AI-enablement initiatives.

Partner with engineering leadership, architects, and product teams to remove friction and increase velocity across R&D.

Establish and govern engineering standards, testing practices, and secure development workflows.

Lead the evolution of our shared frameworks, build systems, and developer tools for scalability and security.

Frontend & Web Infrastructure
Own and evolve the UI development ecosystem, including build systems, testing frameworks, and local development experiences.

Govern our shared UI kit and design system, ensuring consistency, accessibility, and performance across all products.

Partner with UX and product engineers to create a cohesive, maintainable frontend foundation.

Backend & Microservices Infrastructure

Oversee and guide the microservices development framework, templates, and communication patterns.

Optimize monorepo builds, CI/CD pipelines, and runtime standards for efficiency, reliability, and observability.

Implement infrastructure-level protections that improve product quality and prevent regressions.

AI Enablement Across R&D

Champion and integrate AI-assisted development tools (code generation, code review, testing, documentation).

Define patterns and best practices for AI-driven workflows, enabling teams to move faster with higher quality.

Partner with data, DevOps, and product teams to explore how AI can optimize engineering processes and infrastructure.

People & Collaboration

Lead, mentor, and grow a cross-functional team of backend, frontend, and platform engineers.

Foster a culture of technical excellence, innovation, and continuous improvement.

Collaborate closely with Product, UX, Security, and DevOps leaders to align strategy and execution.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications. Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

looking for an experienced, creative, and highly motivated Product Manager with experience in complex cybersecurity products to join us and lead some of our portfolio's most innovative parts.




What you'll do
Collaborate with executives, peers, clients, and analysts to define the vision and strategy of the domain under your responsibility.
Translate strategy to product roadmaps based on market requirements, competitive position, and operational constraints.
Communicate plans and establish shared understanding across the company by building consensus on priorities.
Oversee product development by our top-notch RnD organization
Work closely with Pre and post-sales teams to ensure product market fit and customer satisfaction. Define and analyze metrics that inform the success of products.
Maximize efficiency and improve product management methodologies

As a Product Manager , youll own the entire product lifecycle, from innovation and design to execution. Youll serve as the strategic bridge between R&D and our cross-functional partners in Sales, Marketing, and Customer Success, ensuring our product vision translates into market-leading impact and solidifies our position as the industry leader.



What you'll do
Own the Product Lifecycle: Own your domain from initial ideation, through product development, to launch, and customer adoption. Youll act as the "CEO of your domain" ensuring every feature is built and delivered with highest quality and value to customers.
Translate Strategy into Roadmap and Backlog: Turn high-level business goals into concrete, actionable roadmaps and prioritized backlogs. Youll account for market requirements and competitive positioning, manage trade-offs and define the backlog that reflects business goals.
Partner Closely with R&D: Work closely with research and engineering teams to deliver features effectively and efficiently.
Direct Customer Validation: Proactively engage with customers and relevant stakeholders to validate planned scope and drive UX improvements throughout the product life cycle.
Drive Market Alignment & Success: Define and analyze metrics to measure product success, and work alongside Pre and Post-sales teams to ensure customer satisfaction.

As a Data Engineer at Meta, you will shape the future of people-facing and business-facing products we build across our entire family of applications (Facebook, Instagram, Messenger, WhatsApp, Reality Labs, Threads). Your technical skills and analytical mindset will be utilized designing and building some of the world's most extensive data sets, helping to craft experiences for billions of people and hundreds of millions of businesses worldwide.
In this role, you will collaborate with software engineering, data science, and product management teams to design/build scalable data solutions across Meta to optimize growth, strategy, and user experience for our 3 billion plus users, as well as our internal employee community.
You will be at the forefront of identifying and solving some of the most interesting data challenges at a scale few companies can match. By joining Meta, you will become part of a world-class data engineering community dedicated to skill development and career growth in data engineering and beyond.
Data Engineering: You will guide teams by building optimal data artifacts (including datasets and visualizations) to address key questions. You will refine our systems, design logging solutions, and create scalable data models. Ensuring data security and quality, and with a focus on efficiency, you will suggest architecture and development approaches and data management standards to address complex analytical problems.
Product leadership: You will use data to shape product development, identify new opportunities, and tackle upcoming challenges. You'll ensure our products add value for users and businesses, by prioritizing projects, and driving innovative solutions to respond to challenges or opportunities.
Communication and influence: You won't simply present data, but tell data-driven stories. You will convince and influence your partners using clear insights and recommendations. You will build credibility through structure and clarity, and be a trusted strategic partner.
Data Engineer, Product Analytics Responsibilities
Conceptualize and own the data architecture for multiple large-scale projects, while evaluating design and operational cost-benefit tradeoffs within systems
Create and contribute to frameworks that improve the efficacy of logging data, while working with data infrastructure to triage issues and resolve
Collaborate with engineers, product managers, and data scientists to understand data needs, representing key data insights visually in a meaningful way
Define and manage Service Level Agreements for all data sets in allocated areas of ownership
Determine and implement the security model based on privacy requirements, confirm safeguards are followed, address data quality issues, and evolve governance processes within allocated areas of ownership
Design, build, and launch collections of sophisticated data models and visualizations that support multiple use cases across different products or domains
Solve our most challenging data integration problems, utilizing optimal Extract, Transform, Load (ETL) patterns, frameworks, query techniques, sourcing from structured and unstructured data sources
Assist in owning existing processes running in production, optimizing complex code through advanced algorithmic concepts
Optimize pipelines, dashboards, frameworks, and systems to facilitate easier development of data artifacts.

Were looking for a highly organized and people-oriented Personal Assistant to provide personalized support to our Executive team.

This role focuses on task tracking, coordination, and personal assistance.

Please note this in an On-site role from our TLV office

What you will do
Assist our CEO with personal and day-to-day support needs
Track tasks and follow up on action items to ensure execution
Support executive team members with administrative and logistical tasks
Help coordinate personal errands and scheduling as needed
Maintain ongoing communication while ensuring discretion and confidentiality
Manage executive offsites in Israel and abroad

We are looking for a talented, ambitious Product Manager to join our team driving core product and capabilities.

As a product manager you will innovate, design, execute, lead your product and be the focal point of all product-related issues, inbound and outbound, bridging between R&D and various stakeholders in the company: sales and presales, customer success, operations, marketing among others.

Our OT/IoT Security Product Manager will lead cross-product features influencing and improving the core capabilities.


What you will do
Own your domain from ideation through product development to launch and adoption by customers.
Prioritize, manage trade-offs, and define product backlog that reflects business goals.
Work closely with research and engineering teams to deliver features effectively and efficiently.
Create detailed specifications and ensure execution of plan
Proactively engage customers and relevant stakeholders to validate planned scope and definitions throughout the product life cycle.
Drive UX improvements by understanding use cases and customer requirements.

s a Software Engineer will be critical to the companys success. You will design, build, and maintain the core infrastructure that powers the platform, enabling scalable business logic, data processing, and risk-related decision mechanisms. You will work closely with highly talented engineers to solve complex architectural challenges and deliver robust, high-scale systems.


What you'll do
Develop and maintain core company infrastructure, including search, policies, and foundational platform services
Build and operate backend systems that implement core business logic and large-scale data processing workflows
Take ownership of architectural and design challenges with a strong focus on scalability, performance, and reliability
Contribute to the design and evolution of the platform
Develop extensible libraries and utilities that accelerate development while ensuring scalability and high quality
Collaborate closely with product and other R&D teams
Help solve complex customer issues related to our platform and solutions

As a Full Stack Engineer, you will collaborate with engineering, marketing, sales and product to rapidly deliver new Products and MVPs. While maintaining the highest technical standards.
What Youll Do
Working with the strategic initiatives team
Implement end-to-end Products or MVPs. This means architecture design, implementation, testing, measuring success.
Performance optimization, accessibility, and usability
Collaborate with various stakeholders (engineering, marketing, sales, product)