דרושים » תוכנה » GenAI & Data Project Manager

We are seeking an experienced Generative AI Engineer to join our AI squad at our company. This is a unique opportunity to wear multiple hats - serving as both a developer of cutting-edge GenAI solutions and an advisory expert helping organizations transform their AI capabilities. You'll build end-to-end GenAI projects from conception to production while staying at the forefront of this rapidly evolving field.
Key Responsibilities
GenAI Development & Implementation
End-to-End Development: Build GenAI solutions from POC through production deployment, handling all backend development responsibilities
Client Engagement: Participate in technical discussions with clients, gather requirements, and help translate business visions into feasible technical solutions through presentations and consultations
Backend Development: Design and implement production-grade microservices architectures for GenAI applications using Python
Cloud Implementation: Deploy and manage GenAI solutions across GCP, Azure, and AWS platforms, leveraging cloud-native AI services
Cross-functional Collaboration: Work closely with project managers, full-stack developers, and Power Automate teams to deliver complete solutions
System Evaluation: Assess and optimize production-grade GenAI systems for performance, scalability, and reliability
Continuous Learning & Innovation
Technology Scouting: Continuously explore and evaluate new GenAI models, frameworks, and techniques as they emerge
Best Practices Development: Establish and refine methodologies for GenAI solution development and deployment.

We are looking for a GenAI Product Owner to join our AI organization and play a critical role in executing our GenAI and Physical AI initiatives. This is a highly hands-on, execution-focused role, sitting at the intersection of GenAI, data platforms, and ambient IoT.
You will work closely with engineering teams to turn ideas, strategies, and architectural direction into clear technical stories, tasks, and deliverables - and make sure they get shipped. While product strategy will evolve over time, the core of this role is getting things done: driving execution, removing friction, and ensuring complex technical work moves forward with clarity and urgency.
This role is ideal for someone who enjoys being close to the technology, thrives in ambiguity, and wants to work on deep, difficult problems at the frontier of Physical AI and GenAI.
Responsibilities
Own the Product Roadmap: Lead the planning, execution, and delivery of product features related to our data-driven products.
Sprint Management: Oversee agile sprints, ensuring alignment between engineering teams and other stakeholders on timelines and technical requirements.
Collaborate with Cross-Functional Teams: Work closely with engineering, product managers, and business teams to ensure features align with both technical and business needs.
End-to-End Ownership: Take full responsibility for the product lifecycle, from ideation through to delivery and iteration.
Drive Timely Delivery: Ensure the delivery of roadmap features on time, managing risks and adapting to changing priorities.
Communication: Regularly update leadership and stakeholders on project status, roadblocks, and successes.

we are looking for a Salesforce Project Manager to join our MIS team and play a key role in evolving our growing Salesforce environment. This is a unique opportunity to work with a highly motivated, professional team that delivers business-critical Salesforce solutions across the organization. In this role, you will lead complex, end-to-end Salesforce initiatives, combining full project ownership, strong business analysis capabilities, and a solid understanding of Salesforce-based solutions. You will work closely with business stakeholders, internal users, and technical teams to design, deliver, and continuously improve Salesforce solutions supporting Sales, Service, and additional business domains.
Our work model is hybrid, combining remote and on-site work, allowing flexibility and productivity.

Responsibilities:

End-to-End Delivery: Lead Salesforce projects end to end, covering all lifecycle stages: initiation, requirements gathering, planning, execution, testing, deployment, and post-go-live support.
Business Analysis & Partnership: Work closely with users and stakeholders to deeply understand business needs, translate them into clear requirements, and ensure solutions fully address real business problems.
Project Leadership: Own timelines, scope, risks, dependencies, and priorities across multiple parallel projects.
Salesforce Implementation & Configuration: Collaborate with admins and developers on Salesforce configuration and delivery, including flows, validation rules, approval processes, automations, and integrations.
System Ownership & Continuous Improvement: Support ongoing system enhancements, maintenance, and optimization to ensure smooth daily operations and scalable growth.
Cross-Functional & Global Collaboration: Coordinate work between business teams, IT, R&D and else across different geographies.

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 Technical Delivery Engineer, someone who is passionate about creating intuitive, out-of-this-world In this role, you will lead end-to-end implementation and deployment projects of our companys platform in customer environments, working hands-on with AI on-prem and hybrid infrastructures.
Youll collaborate closely with Product, Architecture, and R&D teams, while serving as a trusted technical partner for customers and senior stakeholders. From planning and execution to troubleshooting and continuous improvement, you will own the full delivery lifecycle and ensure every deployment is reliable, seamless, and impactful.
The Responsibilities
Lead end-to-end project delivery in close collaboration with Product, Architecture, R&D, and Solutions teams, as well as customer executives and senior stakeholders.
Plan, coordinate, and execute complex on-premises deployment projects.
Take a hands-on role in deploying our companys platform within customer environments.
Serve as the technical escalation point for issues related to product deployment and implementation.
Develop, maintain, and continuously improve project delivery processes and knowledge-sharing practices.
Communicate project status, milestones, risks, and dependencies clearly to internal teams and customer stakeholders, ensuring transparency and alignment throughout the delivery lifecycle.

Required Machine Learning Engineer II - GenAI Applications
26947
About the team:
This opening is for the GenAI Applications Team within the Data & AI Marketplace department.
The GenAI Applications team is responsible for designing and delivering agentic, ML-powered solutions for some of our most impactful products, including booking search experiences, trip planning, and trip helpfulness. The team builds AI-driven applications and conversational agents, such as chatbots and intelligent assistants, that significantly enhance the end-to-end customer experience.
Role Description:
As a Machine Learning Engineer, you will work closely with experienced engineers and ML scientists to build scalable, production-grade GenAI applications. Your work will focus on designing, training, and deploying ML systems leveraging LLMs,, recommendation systems, and agent-based architectures, using state-of-the-art technologies. These solutions will directly power customer-facing experiences and play a key role in shaping the future of AI-driven travel products.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, chatbots, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

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 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.

Required Technical Program Manager
The Technical Program Management community is pioneering technologies to bring people (and businesses) closer together at a global scale. Technical Program Managers work at the cross-section between technical execution and business strategy and are expected to partner closely with Engineering, Product, and other cross functional teams. Being a TPM means driving impact by delivering measurable results across a wide range of areas. You'll be responsible for defining and guiding high-level goals and roadmaps, monitoring and communicating progress, and defining requirements for new products and features. It also means having a technical background, understanding system architecture, and the experience to effectively collaborate across functions and organizations to deliver impact.
You will be leading technical strategy and execution on the company-wide platforms and services that are used across. Teams span across Ads, Business Integrity, Monetization, Commerce, Business Messaging, Privacy, Social Impact, Central Integrity, Growth, Central Metrics, Internationalization, Platforms for Family of Apps, Groups, Search, Foundation, Infrastructure, and other areas. This posting represents different full-time roles across the company.
Technical Program Manager Responsibilities
Drive complex programs fully autonomously, creating structures that drive efficient execution
Manage and own cross-functional products and programs execution in a matrix organization
Drive and influence technical and product strategy, proactively identify risks and develop mitigation strategies, align on priorities, and set direction for a broadly cross-functional area
Help define the roadmap and long-term strategy of the teams that you are working with
Design measurements to track impact and drive internal process improvements
Define goals and milestones for your programs with clear technical strategy"
Collaboratively define the strategy for building scale, state-of-the-art, global products
Develop and manage end-to-end project plans to ensure on-time delivery, provide day-to-day coordination, and quality assurance for tasks
Move fast in a flat organization by working in concert with technical program managers, product managers and engineers across to establish a shared vision for improving execution and building solutions
Ongoing communication of planning, project status, issues and risks in a timely fashion to stakeholders
Help drive product decisions to align with higher company initiative
Establish shared goals with product teams across the company to build alignment across multiple cross-functional teams and to build and scale products for us.

We are seeking a Backend Team Lead to spearhead the development of ludeo.ai, our GenAI-powered product that enables users to generate interactive (gaming experiences) directly from prompts or video content. This is a high-impact leadership role at the intersection of backend architecture, multimodal AI, and real-time systems. You will architect and lead the AI engine that transforms unstructured inputs (text/video) into structured, interactive gaming playable moments.

What Youll Do

Lead & Mentor: Build and manage a high-performing backend/AI engineering team, drive architectural decisions, and foster rapid innovation while maintaining production-grade reliability.
Design AI-Native Systems: Architect scalable microservices powering complex AI workflows. Design and implement Retrieval-Augmented Generation (RAG) pipelines, embedding strategies, and vector database infrastructure (e.g., Pinecone, Weaviate, Milvus, PGVector). Optimize retrieval, prompt orchestration, latency, and cost.
Agentic Workflows: Design multi-agent systems using planner/executor/tool-calling patterns. Implement stateful, multi-step AI workflows with frameworks such as LangChain, CrewAI, AutoGen, or similar. Build evaluation, observability, and safety mechanisms for LLM systems.
Multimodal AI: Integrate multimodal models (vision + text) to understand video and translate it into structured form.
Scale & Infrastructure: Ensure robustness, security, and high availability on AWS/Kubernetes. Design distributed systems that handle real-time data and AI workloads efficiently.
Collaborate: Work closely with Product and Design to translate GenAI capabilities into stable, scalable production features.