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We are seeking a Digital Adoption Project Lead to join SAP Embedded Program. This role is responsible for the end-to-end management and delivery of digital adoption initiatives embedded within SAP platforms, ensuring successful execution against agreed scope, timelines, and business outcomes.
The Project Lead acts as the primary point of ownership for assigned SAP platforms coordinating cross-functional resources, managing expectations, and driving delivery across complex SAP release cycles. This role focuses orchestrating delivery, stakeholder alignment, and program success.
So what will you actually be doing?
Project & Delivery Ownership
Own the end-to-end delivery cycle of SAP Embedded digital adoption projects, from intake through launch and post-go-live maintenance, including timelines, milestones, and ensuring high-quality delivery
Ensure delivery aligns with pre-agreed scope, success criteria, and program objectives.
Plan and coordinate resource allocation across R&D, Solutions Engineers, Designers and supporting teams.
Drive regular project governance cadences, including status updates, risk reviews, and stakeholder check-ins.
Stakeholder Management
Serve as the primary point of contact for assigned internal customers, building and maintaining strong, trusted relationships with all stakeholders.
Act as an advocate for technical and operational needs within the SAP Embedded Program.
SAP Release & Environment Coordination
Maintain a deep understanding of SAP release cycles, system changes, and deployment timelines.
Coordinate adoption activities in alignment with SAP releases, upgrades, and process changes.
Ensure dependencies between SAP changes and digital adoption deliverables are clearly identified and managed.

We work with modern cloud-native architectures, large language models (LLMs), multimodal AI, autonomous agents, and advanced analytics platforms to solve complex business challenges. As part of our companys Technology Consulting practice, we collaborate closely with clients, engineers, data specialists, and business stakeholders to translate emerging technologies into scalable, production-grade solutions.
Role Overview
We are looking for a Data & AI Project Manager to lead the delivery of AI and Generative AI-based solutions for our clients. In this role, you will own projects end-to-end - from initial scoping and requirements definition through development, deployment, and continuous improvement.
This role is well-suited for a technically oriented project or product manager who enjoys working at the intersection of data, AI, engineering, and business, and who thrives in fast-paced, complex environments.
Responsibilities
Lead the full lifecycle of AI and data projects, from ideation and design through implementation, deployment, and ongoing optimization.
Translate business and user needs into clear system requirements, technical specifications, and structured delivery plans.
Define project scope, priorities, milestones, and deliverables, ensuring execution on time, within scope, and within budget.
Collaborate closely with development, data, and infrastructure teams to support efficient delivery and resolve technical dependencies.
Drive alignment between technical solutions and business objectives, ensuring delivered solutions generate tangible client value.
Manage multiple stakeholders on both client and internal sides, maintaining clear communication and expectations.
Support the design of intuitive, user-centered AI solutions and workflows.
Identify risks, manage trade-offs, and proactively address challenges throughout the project lifecycle.

We are looking for a highly skilled and motivated Senior II Software Engineer to join the Operational Experience engineering team. The team is part of the Customer Experience group, which is responsible for the platform, tools, and customer-facing experiences that power how our customers interact with our ecosystem. This is a high-impact, hands-on role, in which youll be working closely with product managers, designers, customer-facing teams, and engineering partners across the company.

You will operate at the intersection of backend engineering, data-intensive systems, platform development, and customer experience. The ideal candidate brings strong expertise in Node.js and TypeScript, along with deep experience working with large-scale data stores, event-driven pipelines, data models, and high-throughput infrastructure. You will work closely with cross-functional partners to design and implement robust backend services, data-access patterns, and operational workflows that power the portal and internal tools. As we invest heavily in Agentic AI, you will also play a central role in shaping and implementing AI-driven capabilities across the platform. While the role is primarily backend, you will occasionally contribute across the full stack when it supports end-to-end delivery.

If you enjoy owning complex problems end to end, improving systems at scale, and building experiences that bring real value to customers, we would love to meet you.

What you'll be doing:
Drive technical direction and architecture within the OX team and across the broader CX organization. You will proactively identify opportunities to improve performance, resilience, cost, scalability, and developer experience, primarily in backend systems but with influence across the stack.
Lead the development of AI-driven and Agentic AI capabilities. Define how LLMs integrate into our platform, build AI-powered workflows, and establish strong engineering patterns for safe and reliable adoption.
Own and evolve the data foundations behind the portal. Optimize pipelines, improve data quality and freshness, and design resilient data-access patterns across Snowflake, Elasticsearch, Kafka, Redis, MySQL, and related systems.
Work closely with product, design, customer-facing teams, and partner engineering groups. Turn ambiguous problems into clear execution plans and ensure alignment with customer and business goals.
Shape shared standards and platform best practices. Guide other teams on backend services, data integration patterns, portal development approaches, and AI-enabled workflows.
Mentor and elevate engineers across the CX group. Promote engineering excellence, share knowledge openly, and help teams adopt effective modern development practices.
Own delivery of high-impact initiatives. Contribute hands-on when needed, remove blockers, maintain execution momentum, and drive projects from concept to production.

we are looking for a Technical Program Management Lead to join the company team.
In this role, you will partner closely with Product and Engineering to ensure efficient planning, execution, and predictable delivery of one of our companys product lines. You will drive end-to-end delivery processes, maintain visibility into progress and risks, and enable teams to execute successfully across the full Software Delivery Lifecycle (SDLC).
Responsibilities
Enable successful delivery of a portfolio of initiatives and features within a product domain
Partner with Product and Engineering to build and maintain short- and long-term plans
Drive execution throughout the SDLC, ensuring milestones, dependencies, and risks are clearly managed
Monitor roadmap progress and proactively remove impediments
Enhance cross-team collaboration and alignment
Provide clear visibility to stakeholders through KPIs, dashboards, and status reporting
Promote predictable execution and continuous improvement of delivery processes
Act as a servant leader and problem solver.

Required Technical Project Manager
Tel Aviv
We are using technology to transform transportation around the world. From optimizing daily commutes to reducing cities' carbon footprints, were helping cities, transit agencies, and private operators build smarter, more sustainable mobility systems.
As a Technical Project Manager, youll lead the end-to-end delivery of strategic, cross-functional product initiatives across our global platform. Youll collaborate closely with engineering, product, QA, and business stakeholders to launch innovative features that make transit more efficient, accessible, and scalable.
This is a high-visibility, high-impact role where youll ensure that our product vision becomes a reality, on time, at scale, and with measurable results.
What You'll Do
Define, coordinate, and oversee all technical aspects of launching our revolutionary mobility
Partner with Engineering, Product, QA, and Business teams to define requirements, manage timelines, and track delivery milestones.
Align technical delivery with business goals, ensuring product value is delivered effectively and efficiently.
Own cross-functional project planning, including scope definition, scheduling, risk mitigation, dependency management, and stakeholder communication.
Proactively identify execution risks and troubleshoot delivery challenges in real time.
Manage concurrent initiatives while maintaining high attention to detail and strategic oversight.
Drive process improvements and delivery best practices across teams.

our company's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to our companys needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.
In this role, the Migration and Modernization TL (Team Lead) will be responsible for the architecture, technology and implementation of migration and modernization solutions to production.
Your work will include leading the technological side of multiple solutions that are developed in multiple engineering teams and TL should be able to fully understand customers migration and modernization issues (working with customers and the field team) and translate these into a viable technical solution leveraging our own first-party solutions as well as third-party/partners solutions. You will be working with the various stakeholders: customers, partners, sales, delivery, product and engineering teams.our company Cloud accelerates every organizations ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage our companys technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to our company Cloud as their trusted partner to enable growth and solve their most critical business problems.
Responsibilities
Be part of the core team responsible for the architecture, technology, and implementation of the AI code modernization solutions.
Work closely with customers to understand legacy/mainframe modernization challenges (working with customers and the field team) and translate these into a viable technical solution leveraging to be then driven to implementation.
Facilitate alignment and clarity across teams on goals, outcomes, and timelines. Influence and coach a distributed team of engineers, and work closely with the various stakeholders such as customers, partners, sales, delivery, and product.

Were looking for a Senior Program Manager to own the execution of our Sovereign AI roadmap end-to-end. Youll sit within the Product group and act as the connective bond between Data Science, Engineering, and Product - making sure complex, cross-functional initiatives ship on time and at the quality bar our customers expect.
If you are an unblocker, enjoy making tough tradeoff calls, and drive accountability across the board, your place is with us. Youll manage multiple parallel workstreams across verticals (Security, Health, AML, and more), platform, and AI/ML domains- and youll be the person everyone relies on to know and manage where things stand and what is about to happen next.
The Responsibilities
Own and manage the full lifecycle of Sovereign AI projects from planning through delivery. Track milestones, dependencies, and risks across multiple concurrent workstreams.
Drive cross-functional alignment, and work daily with Data Science, Engineering, Product, and Design teams to ensure same direction. Break down silos and surface early mitigation.
Maintain clear, accurate visibility into project status, blockers, and timelines. Communicate proactively to stakeholders and management.
Identify and solve risks, by own and drive resolution.
Work closely with senior leadership and domain leads to ensure roadmap priorities reflect strategic goals.
Translate execution-level realities into clear decision points - when tradeoffs need to be made, you frame the options and drive alignment.
Interface with internal leadership and external government stakeholders to align on scope, timelines, and priorities. Keep information flowing in both directions.
Continuously refine processes, rituals, and tools to make the team more effective without introducing unnecessary overhead.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world execution and delivery. You will own the squads delivery and processes reporting directly to the Director of Program Management, collaborate with Engineering, Data Science, Research and Product teams to drive successful execution of squad deliverables.
The Responsibilities
Lead and manage multiple squads, ensuring efficient workflow and high-quality output
Partner with the Product Manager and R&D Manager to oversee the end-to-end development process for our cybersecurity solutions
Collaborate with the Director of Program Management to align squad goals with overall company objectives
Foster a culture of innovation, continuous improvement, and technical excellence
Mentor and develop team members, providing guidance and support as needed
Implement and optimize agile methodologies to enhance team performance and product delivery.

Your Career we are seeking an experienced and highly motivated Sr. Technical Program Manager to join our exciting, fast growing company. This dynamic individual will be the liaison between Devops engineering group and others (SW, Product etc) with a focus on high quality, on-time successful releases. This role reports to Devops Director, Cortex product You will be expected to be versed in the technical domains and be able to engage with an experienced cross-disciplinary staff . We are looking for someone with strong critical thinking and analytical skills, who is a self-starter, a great communicator and has demonstrated ability to build consensus at all levels, and is passionate about driving change in a dynamic fast-paced environment. Your Impact Work closely with DevOps, SRE and platform engineering teams to orchestrate end-to-end delivery of complex infrastructure and product capabilities across multiple services and environments. Serve as the primary integration point between DevOps and development teams, ensuring smooth alignment on architecture, deployment models, CI/CD processes, reliability targets, and production readiness. Partner with product management to translate high-level requirements into technical execution plans, define realistic timelines, and track cross-team commitments. Maintain a system-level understanding of all moving parts: production change process, infra upgrades, migrations, capacity plans and rollout constraints. Identify and flag technical dependencies early, particularly those affecting infrastructure, deployment flows, monitoring, and scaling requirements. Drive and define change-management processes: release planning, rollout strategies, maintenance windows, gating criteria, risk assessments, observability readiness, and post-launch validations. Coordinate sprint plans, milestones, and execution cycles across DevOps and development organizations, ensuring teams deliver aligned increments that fit into broader program roadmaps. Provide regular communication to senior engineering leadership on execution status, blockers, architectural risks, and operational concerns. Work hand-in-hand with technical leads/architects to understand deep technical topics such as Kubernetes upgrades, multi-region deployments, data-store migrations, networking changes, or infra cost optimizations.

We are seeking an experienced LLM & Agentic Systems Engineer to join our AI squad at our company. This role blends deep hands-on engineering with architectural responsibility and client-facing advisory work. You will design, build, and operate production-grade LLM and multi-agent systems, working on both greenfield initiatives and the evolution of existing GenAI platforms. You will play a key role in shaping technical direction, best practices, and delivery standards across the GenAI practice.
Key Responsibilities
GenAI Development & Implementation
Build end-to-end GenAI solutions from POC through production deployment
Design and implement backend microservices architectures for GenAI applications using Python
Design, implement, and maintain production-grade Python services with a focus on code quality, performance, and reliability
Architect and develop multi-agent systems, orchestration layers, and autonomous workflows
Integrate and optimize LLMs and GenAI APIs across complex systems
Evaluate and improve system performance, scalability, reliabililty, and cost efficiency
Client Engagement & Advisory
Lead technical discussions with clients and translate business needs into technical architectures Present GenAI solutions, design decisions, and trade-offs to technical and non-technical stakeholders Provide strategic technical guidance on GenAI adoption and system design
Cloud & Platform Ownership
Deploy and manage GenAI systems across GCP, Azure, and AWS Leverage cloud-native AI services (Vertex AI, Azure OpenAI, SageMaker, etc.) Own production environments, monitoring, and operational excellence
Continuous Learning & Practice Development
Evaluate emerging GenAI models, frameworks, and techniques Define and refine best practices for GenAI system development and deployment Contribute to internal accelerators, methodologies, and knowledge sharing.