לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,305 משרות

We are seeking a strategic, data-driven Senior Customer Support Operations Manager to lead operational performance and strategic planning for our global support organization. In this role, you will be the "Command Center" for our operations, responsible for ensuring our 24/7 global engine-spanning BPO and In-house teams-runs at maximum efficiency. Your leadership will directly impact our ability to meet SLAs and leverage technology to optimize our workforce.
What am I going to do?
Leadership & Real-Time Strategy: Directly manage and mentor the Shift Managers and WFM functions to ensure 24/7 operational excellence and execution quality.
Global WFM & Forecasting: Own the global staffing model, capacity planning, and forecasting for both BPOand In-house teams to meet SLAs while maintaining budget efficiency.
Operational Performance & Strategy: Analyze high-level support data (SLA, AHT, Cost per ticket) to identify trends, bottlenecks, and strategic opportunities for improvement.
BPO Performance Management: Serve as the operational focal point for our BPO partners, ensuring they meet staffing commitments, discipline, and performance targets.
AI & Efficiency Roadmap: Zendesk Admin for CS and Partner with leadership to define operational priorities and decide where to implement automation and AI based on volume trends and data insights.
Incident Management: Act as the final operational point of contact during high-impact events, outages, or critical escalations, leading the mitigation process.

Are you an inventive, curious, and driven Applied Scientist with a strong background in AI, Computer Vision, and Deep Learning? Join our AGI IMAX Science team and contribute to significant advancements in Computer Vision, Multimodal Understanding, Generative AI, and foundational models.

As part of the AGI IMAX Science team, you'll lead innovative research projects and train large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models that directly impact millions of Amazon and our customers. Leveraging Amazon's vast computing power, you'll work alongside a supportive and diverse group of skilled scientists and engineers, building models and services that make a meaningful difference in the industry.


Key job responsibilities
Lead research initiatives in Computer Vision and Multimodal generative AI, advancing model efficiency, accuracy, and scalability.
Train and fine-tune large-scale Vision-Language Models (VLMs), diffusion models, and multimodal foundation models at scale.
Design, implement, and evaluate deep learning models in a production environment.
Collaborate with cross-functional teams to transfer research outcomes into scalable our services.
Publish in top-tier conferences and journals, keeping Amazon at the forefront of innovation.
Mentor and guide other scientists and engineers, fostering a culture of scientific curiosity and excellence.

We are seeking an Applied Scientist to help build Amazons next-generation customer memory and personalization systems.

As an Applied Scientist, you will design and build ML and LLM-powered solutions for Amazon's customer memory and personalization systems. You will work on how customer knowledge is extracted, validated, and applied in production systems.

You will own the end-to-end delivery of ML solutions, from problem formulation and modeling to offline and online experimentation, and production deployment at scale. You will deliver high-quality, scalable systems that power customer-facing experiences.
You will drive work across areas such as fact extraction, memory quality and lifecycle, temporal reasoning, and grounded personalization, while navigating tradeoffs between quality, latency, and coverage.
You will collaborate closely with engineering and product teams to translate research into measurable customer impact.

The Field Tech Operations Lead is the strategic advisor and operating partner to Area Tech Leader. You will translate EMEA Tech strategy and the area business priorities into executable plans, scalable mechanisms, and measurable customer outcomes across Solutions Architecture, Customer Solutions Management, and strategic initiatives. You will help the Area Tech organization operate with greater clarity, speed, and impact by embedding data, AI, and automation into how the business plans, inspects performance, prioritizes resources, and executes. You will build mechanisms that surface risks earlier, reduce manual work, improve decision quality, and ensure technical expertise is deployed where it creates the greatest customer and business value.

You will also own the areas migration strategy and execution end to end, driving progress from opportunity identification through migration launch, modernization, and consumption realization with a large cross functional team across the Area.

This is a cross-functional, hands-on role that requires strong strategic judgment, analytical rigor, commercial awareness, and operational discipline. The ideal candidate can operate effectively in ambiguity, influence senior stakeholders, communicate across technical and non-technical audiences, and build scalable mechanisms that improve how the business operates.

Success in this role requires an owner mindset, strong bias for action, and the ability to turn complex business and technical priorities into clear operating plans that deliver measurable impact for customers and us.

Key job responsibilities

Strategic Partnership: Advise Area Tech Leaders on strategy, organizational performance, risks, priorities, and investment decisions.

Strategy and Planning: Develop and execute the Tech operating plan, translating EMEA Tech strategy and Area business priorities into clear priorities, actions, and outcomes.

Business Performance: Establish KPIs, lead business reviews, and provide decision-oriented insights that improve performance, resource allocation, and execution.

Sales and Tech Alignment: Align technical priorities and capacity with the Area business plan and identify gaps requiring leadership action.

Migration and Modernization: Own the Areas Migration and Modernization strategy and execution end to end, from opportunity identification and prioritization through migration, modernization, launch, and consumption realization.

Strategic Initiatives: Coordinate GenAI, customer adoption, and other Area Tech priorities, recommending when to scale, redesign, simplify, or stop.

Resource Planning: Provide data-backed recommendations on capacity, coverage, skills, and technical resource allocation.

Customer Adoption: Track customer progression from technical engagement to production adoption and business outcomes, distinguishing activity from measurable impact.

Area and EMEA Alignment: Act as the operational link between Area Tech leadership and EMEA Field Tech Operations, adopt common standards, escalate systemic blockers, and share scalable best practices.

Cross-Functional Leadership: Influence, build alignment, and drive execution across Sales, Business Development, Professional Services, Partners, Finance, technical teams, and Worldwide organizations.

As a Technical Account Manager (TAM) in our Enterprise Support, you will serve as the primary technical advisor and voice of the customer for a portfolio of fast-growing Israeli startups. You will play a crucial role in fostering their innovative and transformative work across AI/ML, compute (including accelerated and GPU workloads), containers, networking, storage, databases, serverless, security, and more. It's an opportunity to work closely with technical founders and engineering leaders, helping them make the right architectural decisions at each stage of their growth journey.

Key job responsibilities
- Act as the primary technical advisor for your startup customers, building trusted-advisor relationships with CTOs, VP Engineering, and founding teams.
- Engage across the full customer organization, from individual engineers through to C-suite, adapting your communication to each audience.
- Help accelerate customer growth by crafting strategies that balance startup velocity with Well-Architected best practices across AI/ML, compute, containers, and data infrastructure.
- Conduct architecture reviews, operational assessments, and proactive risk identification. Analyze service events and operational patterns to drive continuous improvement in resilience, performance, and cost efficiency.
- Drive technical discussions with founding teams on architecture trade-offs, incident response, and risk management as their systems scale.
- Uplift customer capabilities by running workshops, enablement sessions, and brown bag sessions tailored to their technical needs.
- Champion and advocate for your customers by connecting their feedback to our engineering teams, influencing platform evolution, and ensuring rapid resolution of concerns.
- Collaborate with Solutions Architects, Business Developers, Professional Services, and Account Managers to deliver coordinated customer value.
- Develop and share technical content such as blog posts, reference architectures, and reusable solutions that help startups solve common challenges and reduce time-to-market.

We are looking for a Squad Leader to join our engineering leadership team, reporting directly to the VP Engineering.

You will own & manage a multi-disciplinary squad spanning AIgo, full-stack, AIOps, QA, and data - accountable for delivery, people, and business outcomes. You will work closely with a Principal Product Manager who sets direction, and directly manage a Product Owner embedded in your squad.

A Day in the Life and How Youll Make an Impact:

Drive your squads lifecycle-from planning and prioritization to risk mitigation-ensuring commitments are met and quality remains non-negotiable.
Direct-line manage all engineers and an embedded Product Owner. Conduct meaningful 1:1s, support career growth, and foster a high-accountability team culture.
Connect engineering decisions directly to commercial goals. Always anchor what we build to why it matters to the customer.
Partner with Principal Architects and senior engineers to offer technical guidance, evaluate trade-offs, and spot architectural risks early.
Actively participate in high-level engineering leadership discussions regarding product roadmaps, global resourcing, and organizational strategy.

We are looking for a Senior Technical Program Manager to join our engineering organization, reporting directly to the VP Engineering. You will own a portfolio of cross-functional programs and projects spanning AI, Platform, Data & Product. You will work closely with engineering managers, guild owners, and architects to keep multiple concurrent efforts moving, tracked, and de-risked.

A day in the life and how youll make an impact:

Own end-to-end delivery across a portfolio of initiatives, ranging from large cross-team programs to focused technical projects
Own quarterly planning across your portfolio, translating priorities into a clear plan for the quarter
Set and drive planning, milestones, and risk tracking for each initiative, tailored to its size and complexity
Own budget planning and tracking for the programs and projects under you
Surface and resolve cross-team dependencies before they become blockers
Partner with engineering managers, guild owners, and business stakeholders to align execution with priorities
Own Jira structure, sprint hygiene, and estimation practices across the initiatives you run
Build the reporting and tracking that gives leadership real visibility into progress and risk
Translate execution status into clear, honest updates for engineering leadership
Flag risk early, with recommendations, not just status

Take part in the development of cutting-edge products within a disruptive system architecture. You will have the opportunity to work on the technologies that power the worlds largest cloud provider, in a dynamic, open, and fast-paced environment. AWS provides a highly reliable, scalable, low-cost infrastructure platform in the cloud, which powers hundreds of thousands of businesses in 190 countries around the world. Annapurna Labs, as part of Amazon Web Services (AWS), is looking for talented engineers to help us develop a semiconductor platform based on a revolutionary architecture.

Looking for exceptional engineers to join the top-tier team that is developing the next generation semiconductor platform, based on a revolutionary architecture. Engineers will participate in design activities, working on the next generation of our products.

You are invited to take part in developing, integrating and deploying cutting-edge technologies, starting with identification and definition of project requirements, architecture, feature development, and collaboration with the different groups.
Your design will be integrated into the nitro SoC, on millions of servers worldwide. This is an opportunity to have a large-scale impact.
As a VLSI engineer and a member of the Nitro project, you will have an impact over the device through its entire lifecycle, from the product definition stage to mass production. You will work in close collaboration with multiple groups, including Architecture, Software, Verification, Backend, and DFT.

Key job responsibilities
* Full ownership of one or more IPs within the product:
-Micro-architecture.
-RTL coding and debug.
-Synthesis and timing closure.
-Sign-off.
* Supporting the Verification and Emulation teams: Test plan, Coverage review.
* Ensuring that the chip meets quality and reliability standards.
* Collaborating with cross-functional teams, including Product Definition, Verification, Software, and Physical design.

We are looking for talented people to join us, as leaders in our excellent Physical Design team, adopting super advanced process nodes, mentoring team members, and further developing our implementation methodologies.

Key job responsibilities
* Daily involvement in all aspects of physical design chip development (RTL2GDS), including floorplanning, synthesis, clock tree synthesis, place and route, static timing analysis, power and noise analysis, physical verification testing, and equivalence checks.
* Being actively engaged in design-backend convergence aspects and defining timing constraints.
* Taking full end-to-end responsibility for the physical design of macros and clusters level, according to specifications, under challenging constraints, with focus on optimizing power, area, and performance.
* Participation in the development of design flows, using a variety of EDA tools and vendors such as Synopsis and Cadence.
* Engaged in defining implementation and signoff methodologies.