לוח משרות דרושים, לחיפוש זה נמצאו 31,327 משרות

Meta is seeking a Creative Strategist to lead advertising creative strategy for the Israel market and the global gaming vertical. In this role, you will partner with key advertisers to develop data-informed, culturally resonant creative frameworks that drive measurable performance across Meta's advertising platforms, including our company, Instagram, and Reels. You will serve as a subject matter expert at the intersection of culture, technology and performance creative, helping gaming brands and Israel-based advertisers unlock growth through compelling, platform-native storytelling and creative innovation.
Creative Strategist, Israel & Gaming Responsibilities
Develop and drive creative strategy for gaming advertisers and Israel-market clients, translating brand objectives into platform-native creative frameworks across Meta's advertising surfaces
Lead cross-functional creative strategy projects in partnership with sales, marketing science, and product teams to deliver integrated solutions for advertisers
Analyze creative performance data and A/B testing results to identify patterns, generate insights, and iterate on creative hypotheses that improve advertiser outcomes
Build and present creative strategy narratives to advertisers and agency partners, adapting communication style for diverse audiences including brand marketers, performance teams, and executive stakeholders
Contribute to organizational creative strategy by developing scalable playbooks, vertical-specific best practices, and thought leadership content for the gaming and Israel market segments
Proactively identify emerging creative trends in gaming advertising and the Israel market, translating them into actionable recommendations for clients and internal teams
Leverage AI tools to accelerate creative ideation, brief development, performance analysis, and the production of scalable creative strategy assets
Coach peers on creative strategy methodologies, efficient workflows, and how to apply gaming and market-specific insights to client engagements
Align creative strategy priorities across multiple stakeholder groups, holding teams accountable to shared goals and surfacing tradeoffs when competing priorities arise.

The Client Solutions Manager partners with our most strategic clients to make sure they are successful with Meta. This is an opportunity to build and manage key relationships, serve as a consultative product expert and a trusted adviser in marketing, leading strategy, media planning, creative, tech integration, and measurement for our top clients across various verticals mainly Fashion. The Client Solutions Manager is a strategic solution-driver with a focus on developing ROI-positive marketing strategies, driving growth by constantly improving performance for advertisers and implementing measurement & attribution solutions.
This role is responsible for optimizing complex opportunities and using data and analytics to build consultative and technical solutions for our customers, providing business insights, driving revenue, advertiser education, and satisfaction through a consultative, data-driven approach. Success in this position requires consultative sales and analytical skills, a focus on client service and commercial acumen, and the drive to thrive in a dynamic, team-focused environment. You should have passion for our company, Instagram, Metas advertising solutions and the overall marketing/tech ecosystem.
Client Solution Manager, Tech & Commerce, 12 Month Contract Responsibilities
Track record of excelling in Client Solution Manager role and driving impact on solution adoption, revenue, and operational rigor
Identify, create, and implement marketing solutions grounded on achieving measurable business results for our clients
Develop vertical expertise, including industry research and perspective, to drive overall business objectives and marketing solutions for advertisers
Work with businesses to understand their objectives and develop the Meta strategy in partnership with the Client Partner and cross-functional teams, which will constitute building on insights, crafting marketing strategies and media plans, creative guidance and measurement recommendations
Provide dedicated account management to top clients, to develop, manage, optimize, and support strategic account plans, and leverage data to create business solutions for clients
Project Management - Work and collaborate with a group of internal cross-functional teams, managing complex work streams to optimize marketing objectives for clients. Manage analytics and dashboards to advise clients (for example daily client facing data/insights reporting, understanding performance across multiple accounts across multiple country used by clients)
Manage strategic marketing conversations with clients, agencies, and partners (media, creative, measurement partners, MarTech, etc.)
Manage internal account operations (revenue delivery, media recommendations, troubleshooting issues, optimization opportunities)
Manage planning, execution, ongoing reporting and optimisation of campaigns (Observe budget spend, manage internal analytics and dashboards, provide optimisation and real time recommendations).

We are looking for a passionate Senior Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation NIC and Switch simulation, works closely with other SW R&D teams and SW Architects.


What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader - dont miss it!
we are building a real-time AI runtime platform for security algorithms running inline across our global cloud and physical PoPs.
We are looking for an AI Platform Engineer to help build the infrastructure that powers high-throughput, low-latency AI security decisions in production.
You will work on a runtime engine that combines GPU-based models, from MMBERT-style models to LLMs, with CPU-based heuristics and security logic, optimized for scale, performance, reliability, and real-time execution. This is a versatile engineering role that spans AI runtime infrastructure, high-performance backend development, GPU inference, model lifecycle, and close collaboration with research teams to bring AI security algorithms into production.
Responsibilities
Build our companys AI security runtime platform for high-throughput, low-latency production serving.
Develop infrastructure for model serving, multi-model orchestration, and inline decision flows.
Optimize inference performance: batching, caching, streaming, GPU utilization, memory usage, and runtime acceleration.
Build backend orchestration and performance-critical services in Go.
Support the model lifecycle: registry integration, packaging, versioning, deployment, monitoring, and operational health.
Work closely with research and algorithm teams to productionize AI security models and algorithms at scale.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for a Hands-On Agentic AI Engineer to join a new team focused on applying AI agents and intelligent workflows to improve business processes across the organization.
The ideal candidate is someone who enjoys building real-world AI-driven solutions end-to-end - writing code, designing architectures, building prototypes, solving implementation challenges, and working directly with business stakeholders to turn process opportunities into working AI solutions.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots)
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners and IS teams to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.

We are looking for best-in-class Chip Design Engineers to join our outstanding Networking Silicon engineering team, developing the industry's best high speed communication devices, delivering the highest throughput and lowest latency! Come and take a significant part in designing our groundbreaking and innovative chips, enjoy working in a meaningful, growing and highly professional environment where you make a huge impact in a technology-focused company.

What you will be doing:

Join the Tel Aviv or Beer-Sheva group, working on RiscV processors platform.

Verification for chip blocks according to specifications under challenging constraints and with high orientation to power, area and performance.

Daily work might involve any or all aspects of chip development including verification, integration, debug

Work closely with firmware and other groups around the globe.

Were looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate.
This is not a research role. Youll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short.
If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you.
Responsibilities:
Partner directly with business teams to identify automation and optimization opportunities
Design and implement agent-based AI workflows to automate internal processes end-to-end
Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain
Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows
Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations
Take solutions from idea → prototype → production
Governance, Reliability & Security
Ensure AI workflows comply with security, privacy, and compliance requirements
Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed
Monitor AI performance, errors, hallucinations, and drift
Collaboration & Enablement:
Partner with business owners to identify automation opportunities
Translate business requirements into AI-driven solutions
Document AI flows, decision logic, and operational runbooks
Educate internal teams on AI capabilities and limitations.