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Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff Technical Support Engineer, you will be tasked with being a key contributor: analyzing complex customer issues, driving our cross-organizational projects, building tools that will help improve productivity, driving innovation, and more. We are seeking someone with a proven track record on a variety of platforms, focusing on Mac, Linux, K8s, cloud, mobile and AI.

Design and implementation of MCU software for operational electronic systems, including:
Low-level drivers for a wide range of sensors and peripherals
Communication stacks over a variety of interfaces
RTOS-based multi-threaded/multi-state system logic
Efficient implementation of real-time algorithms
Optimization of system power/energy states
Debugging using oscilloscopes, logic analyzers, and JTAG/SWD tools
Collaboration with hardware teams and development of hardware bring-up software for custom boards
Proof-of-concept (POC) work ands evaluation of new MCUs for integration into future projects
Working as part of a team, performing code review and mentoring of junior engineers.

Our ASP Development Team is seeking an SAP ABAP Developer. We are looking for a skilled SPA ABAP Developer to develop, enhance, and maintain SAP solutions that support core business operations across a large-scale enterprise environment. This role requires strong SAP ABAP development expertise, experience working within SAP ECC environments, and the ability to collaborate closely with functional consultants.
עוד על התפקיד
Develop, enhance, and maintain SAP ABAP programs, reports, interfaces, forms, and enhancements.
Collaborate with SAP functional consultants to analyze business requirements and deliver technical solutions.
Support ongoing projects, system improvements, and troubleshooting activities within SAP ECC environment.

We are always looking for exceptional talent to join us on the journey!
Your mission:
As a Sales Development Representative, you will report to the SDR Manager and be responsible for qualifying and nurturing leads across EMEA. Your focus will be to accelerate the distribution of Nuveis products by ensuring a seamless experience for potential clients and supporting the sales pipeline.
Responsibilities:
Qualify and nurture outbound leads from multiple channels, ensuring timely and professional engagement.
Generate new business pipeline for Business Development Managers through outbound initiatives.
Demonstrate best practices and up-to-date knowledge of our products and their value to potential and existing clients.
Manage your time efficiently and prioritize your workload to maximize lead conversion.
Develop sales leads by using sales tools with outbound sales prospecting efforts.
Expand market knowledge and awareness through independent research.
Organize and manage your pipeline, presenting updates to your line manager.

As a member of our team, you will have the opportunity to work on complex technical problems, build new features, and improve existing products across various platforms, including mobile devices and web applications. Our teams are constantly pushing the boundaries of user experience, and we're looking for passionate individuals who can help us advance the way people connect globally. If you're interested in joining a world-class team of engineers and researchers to work on exciting projects that have significant impact, we encourage you to apply.
Machine Learning Engineer Responsibilities
Collaborate with cross-functional teams (product, design, operations, infrastructure) to build innovative application experiences
Implement custom user interfaces using latest programming techniques and technologies
Analyze and optimize code for quality, efficiency, and performance, and provide feedback to peers during code reviews
Set direction and goals for teams, lead major initiatives, provide technical guidance and mentorship to peers, and help onboard new team members
Architect efficient and scalable systems that drive complex applications
Identify and resolve performance and scalability issues, and drive large efforts to reduce technical debt
Work on a variety of coding languages and technologies
Establish ownership of components, features, or systems with expert end-to-end understanding

Power the Future with us! we are a global leader in high-performance smart energy technology, with over 3000 employees, offices in 33 countries, and millions of products installed in over 133 countries. Our diverse product offering comprises intelligent solar inverters, battery Storage, backup systems, EV charging, and complete home energy management ecosystems. By leveraging world-class engineering capabilities and with a relentless focus on innovation, we strive to create a world where clean, green energy from the sun is the primary source of power for our homes, businesses, and just about everywhere we thrive. The Embedded Infrastructure Team builds and maintains the shared Embedded software foundations used across the department. We develop reusable code and core technologies that enable multiple projects and teams to succeed, while spearheading the adoption of new technologies within the organization. By providing a robust, scalable base, we empower product teams to move faster with confidence. Key Responsibilities
* Develop and maintain Embedded software for a cross-platform SDK at the core of our company Embedded products.
* Develop bootloaders, drivers, bare-metal, and RTOS-based firmware for ARM & ARC processors.
* Collaborate across software, hardware, and architecture teams to develop and integrate features, from design through implementation and system -level validation.
* Participate in design reviews/code reviews and develop high-quality code following best practices, including unit tests and automated system tests.
* Define and improve development environments and build flows that enable efficiency and flexibility across all teams.
* Navigate a hardware-oriented environment encompassing chip bring-up, physical device integration, complex troubleshooting, and software-hardware validation.
* Apply AI-driven tools and methodologies to accelerate development and enhance code quality.
Country:
Israel
City:
Herzliya

we are In this role, you will translate complex business objectives into scalable technical implementations using Meta's suite of advertising APIs, measurement solutions, and data integration tools. You will partner closely with sales and client teams to design end-to-end solutions that drive measurable marketing outcomes, helping some of the world's largest advertisers unlock the full potential of Meta's platform at scale.
Solutions Architect - (12 Month Contract) Responsibilities
Serve as a technical subject matter expert on Meta's advertising platform, including APIs, measurement frameworks, and data integration solutions, for enterprise clients and partners
Design and recommend scalable technical architectures that align client business goals with Meta's marketing technology capabilities
Collaborate with sales teams to identify and develop new opportunities by diagnosing technical gaps and proposing solutions tailored to client needs
Guide clients through end-to-end implementation of advertising APIs, pixel and conversion tracking, and data connectivity solutions
Analyze complex client business challenges and propose solutions grounded in Meta's platform capabilities and industry best practices
Build and maintain cross-functional relationships with product, engineering, and partner teams to advocate for client needs and influence platform improvements
Develop and deliver technical presentations, solution blueprints, and documentation for audiences ranging from engineers to marketing executives
Prioritize and manage multiple client engagements simultaneously, aligning deliverables to short, mid, and long-term business goals
Provide technical guidance to peers and contribute to onboarding and knowledge-sharing practices within the solutions architecture team
Leverage AI-integrated workflows to accelerate solution design, documentation, and client analysis, sharing learnings to scale adoption across the team

The financial risk management (FRM) machine learning principal will be the most senior machine learning engineer and strategist for financial risk . The principal will enable the risk organization to deliver significant lift over current long range objectives for friction and leakage through the generation of new Machine Learning opportunities for the organization and support of successful delivery of the risk management ML architecture. This person will partner closely with the FRM engineering leader (Director level) and be part of Metas risk management leadership circle.
Software Engineer, ML (Technical Leadership) Responsibilities
Address core business and technical machine learning opportunities: elevate the existing portfolio of machine learning solutions to be state-of-the-art for minimizing Metas financial losses (due to leakage, good revenues loss and friction). Following are a few examples of technical and business problems we aim to address. - Provide a solution for optimizing the risk machine learning model ensemble (covering the entire end-to-end advertiser funnel including detection, decisioning, enforcement and remediation) through optimization of the current model portfolio and individual models. - Minimize the impact of the prolonged financial fraud feedback loop. - Improve models measurement and performance. - Optimize data/label strategy. - Optimize balance between specific targeted model strategy and broad umbrella model strategy to optimize for short and long term benefits
Lead Research and Introduction of Advanced Technologies: - Collaborate with Financial Integrity's senior ML Engineers to lead the research and introduction of deep learning and Large Language Model (LLM) technologies. - Remain current on industry-wide advancements in ML and introduce relevant advancements in Financial Risk Management
Collaborate on Next-Generation ML Architecture: - Work closely with financial harms principals and risk management tech leads to deliver the next-generation ML architecture for Meta's risk management system. - Collaborate with Principal ML engineers from across the company to adopt best industry and Meta practices within the FRM team. - Resolve or mitigate design dilemmas, balancing business and technical trade-offs. - Identify and initiate opportunities for collaboration and impact with other organizations at Meta
Identify and Initiate New Business Opportunities: - Collaborate with Meta FinTech, Central Integrity and Core Ads Growth partnerships to identify and initiate new business opportunities based on third-party capabilities. - Conduct proof of concept for different opportunities and initiate integrations to enhance business performance
Grow Other Senior ML Engineers - Actively invest in the growth of other senior ML engineers through goal-driven formal and informal mentorship. Provide regular feedback to other engineers regarding their technical work

As a PM here, you own one of those systems end to end: you set the strategy, work daily with a team of engineers and data scientists in Tel Aviv, and drive decisions that show up in company-level growth numbers. The problems are genuinely hard and mostly unsolved - how do you prove the value of a channel you can't fully instrument, how do you respond to an ecosystem highly disrupted by AI, how do you make someone want an app before you ask them to sign up.
Product Manager, Central Products Responsibilities
Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals
Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight
Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis
Translate AI capabilities into compelling, differentiated product visions that define market categories
Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement
Drive product development with teams of engineers and designers, while maintaining team health
Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale
Foster a culture of rapid experimentation and learning that becomes a competitive advantage
Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially
Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale
Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Use AI-enabled tools to build products-setting the standard for PM technical capability
Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier
Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes; lead strategic technical decisions with engineering leadership
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.)
Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis, and AB testing
Design sophisticated experiments and interpret results (leveraging AI) to drive strategic product decisions
Define and run evaluations (evals) to interpret model outputs at scale-establishing evaluation as a strategic capability for AI-powered experiences

We are looking for a Senior Enterprise Architect - Core Payments Processing to join our Architecture team. Reporting to the VP of Architecture, you will play a key role in shaping and delivering the architecture of next-generation payment processing platforms.
In this role, you will be responsible for designing and guiding the implementation of highly scalable, resilient, and secure transaction-processing systems supporting global payment operations. You will work closely with Product, Engineering, DevOps, Security, and Data teams to translate complex business requirements into robust technical solutions.
This role requires deep experience in real-time distributed systems, fintech/payment platforms, and modernization of large-scale systems, as well as the ability to influence cross-functional teams and ensure architectural integrity throughout delivery.
You will help evolve platform by balancing long-term architecture strategy with pragmatic delivery, enabling the company to scale its global payment capabilities while maintaining reliability, compliance, and operational excellence.