לוח משרות דרושים מנהל/ת פרויקטים בתחום הבינה המלאכותית, לחיפוש זה נמצאו 41 משרות

We're looking for a driven, experienced, and forward-thinking Product Operations specialist to join our Product organization and help drive operational excellence across our product lifecycle. This is a high-impact role where you'll work with cross-functional teams and play a key part in shaping the future of OX by streamlining processes and scaling our capabilities.

What You'll Be Doing
Lead or support the optimization of internal workflows, aligning and automating processes across the Product and R&D organizations- leveraging people or AI.
Collaborate with cross-functional stakeholders to define, implement, and track key product success metrics and data-driven insights.
Drive efficiency by identifying bottlenecks, repetitive tasks, and inefficiencies across the product lifecycle - and fixing them by establishing best practices for cross-team collaboration.
Spearhead the integration and adoption of advanced AI tools, ensuring the product team is equipped with the best infrastructure to succeed.
Help us continuously improve by fostering a culture of agility, data transparency, and collaborative effort across the entire organization.

Job Overview The Data & AI lead leads the strategy, development, and operation of advanced data and artificial intelligence solutions to drive business growth, consumer intelligence, personalization, and operational efficiency within Delta Galil Group. This role is responsible for championing a data-first and AI-enabled culture while partnering cross-functionally with marketing, designers, digital, merchandising, supply chain, and technology teams to deliver scalable solutions and measurable outcomes. Key Responsibilities
* Develop and own the strategic vision for data and AI initiatives aligned with business objectives, directly impacting merchandising, marketing, inventory management, customer experience, eCom, etc.
* Drive the design and implementation of consumer intelligence platforms, segmentation models, recommendation systems, personalization engines, and operational analytics to maximize lifetime value and brand affinity.
* Build, lead, and mentor high-performing teams specializing in data science, analytics, and AI, fostering a culture of innovation, collaboration, and continuous development.
* Champion ethical data usage, privacy compliance, and data governance across the organization, ensuring integrity and transparency in all consumer-facing and operational analytics efforts.
* Collaborate with both technology and business teams to translate commercial requirements into robust data architectures, models, and product solutions.
* Define and track key business impact metrics for analytics and AI-driven initiatives, including uplift in customer retention, order value, reactivation rates, and operational efficiencies.
* Oversee the integration and adoption of new technologies, AI frameworks, data platforms, and best practices to support real-time, cloud-based, and scalable analytics solutions.
* Act as a thought leader, driving the continuous improvement and adoption of cutting-edge data science techniques, AI methodologies, and innovative product solutions.

Hybrid position:
Onsite

Site Manager – Data, Analytics & AI The Data & AI Division abra is looking for an experienced Site Manager with a strong technology background to lead and oversee data, analytics, and AI activities within a large-scale organizational project.
Job Description
* Lead and manage multidisciplinary technology teams, including BI Developers, DBAs, Data Engineers, and Data Scientists.
* Oversee day-to-day operations, workload prioritization, task management, and execution monitoring across multiple teams.
* Drive technological initiatives and data-driven projects while ensuring timely delivery and high-quality outcomes.
* Ensure the availability, stability, and performance of data platforms, databases, reporting systems, and analytics solutions.
* Lead the development and enhancement of BI solutions, data infrastructure, reporting environments, data models, and Data Engineering processes.
* Collaborate closely with business stakeholders, management, technology teams, and external vendors to align solutions with organizational needs.
* Translate business requirements into actionable plans and technical deliverables.
* Remove operational and technological roadblocks, improve work processes, and promote continuous optimization.
* Provide leadership, mentorship, and professional guidance to team members while fostering a high-performance culture.

We are looking for a highly technical and hands-on AI Transformation Lead to drive the implementation and adoption of AI across the organization.
This is a builder role, not a strategy-only position. You will be responsible for identifying high-impact opportunities, designing and implementing AI-powered solutions, and integrating them into our existing systems and workflows across R&D, Support, Sales, and Operations.
The ideal candidate combines a strong engineering background with the ability to translate business needs into scalable, production-ready solutions - and ensure they are actually adopted and deliver measurable impact.
Role Mission:
Lead the companys AI transformation end-to-end through practical implementation - building, integrating, and scaling AI-driven workflows and internal tools that improve efficiency, quality, and business performance across all departments.
What Youll Do:
Build & Implement AI Solutions (Core Focus):
Design, build, and deploy AI-powered workflows, automations, and internal tools
Develop rapid POCs and evolve them into production-ready solutions
Work hands-on with LLMs, APIs, and automation frameworks
Ensure solutions are scalable, maintainable, and aligned with system architecture
Integrate with Systems & Architecture:
Integrate AI solutions into existing platforms (CRM, support systems, internal tools, data flows)
Design robust integrations using APIs and orchestration layers
Ensure alignment with engineering standards, security, and data integrity
Drive Cross-Company Impact:
Identify high-value use cases across R&D, Support, Sales, Domain, and Operations
Translate business workflows into efficient, AI-driven processes
Partner with stakeholders to ensure solutions solve real problems
Own Adoption & Impact:
Ensure solutions are used, not just built
Define and track KPIs (efficiency, time saved, quality improvements, adoption rates)
Continuously iterate based on feedback and real-world usage
Enable & Standardize:
Establish best practices for AI usage across the company
Guide teams on how to effectively use AI tools in their daily work
Act as the internal expert for AI workflows, tools, and capabilities
What Success Looks Like (First 3-6 Months):
Delivered multiple production-level AI solutions with measurable business impact
Reduced manual work and improved efficiency across at least 2-3 departments
Successfully integrated AI workflows into core systems and daily operations
Achieved strong adoption across teams (beyond experimentation).

As the AI Solution Manager you will be the primary technical executor of the organizations AI transformation. This is a critical role within our AI Squad who map opportunities and execute end-to-end solutions that drive a measurable competitive advantage. You are the "hands-on" specialist responsible for the delivery, integration, and adoption of AI tools across all departments. This role requires a high degree of technical literacy regarding infrastructure and integrations, combined with a proven track record in large-scale system implementation.
Responsibilities
Own the technical rollout of AI tools, from initial configuration and API integrations to cluster management and full-scale production deployment.
Architect and build complex automated workflows that bridge the gap between AI products and internal organizational systems, ensuring reliability and scalability.
Manage the technical environment requirements for AI tools, including the setup and maintenance of clusters and the coordination of the underlying system architecture.
Act as the primary technical point of contact for departments during the implementation phase, translating business requirements into precise technical configurations and workflows.
Establish performance metrics for implemented tools, monitoring adoption and technical efficiency to ensure maximum organizational impact.

Come join the team as a Staff Machine Learning Engineer.
We are seeking a highly skilled ML engineer passionate about building a world-class platform at a high scale, specifically focused on delivering AI capabilities.
You will be part of a vibrant team of AI Scientists and ML Engineers, helping to build the next generation of awesome products and experiences using cutting-edge Generative AI technology.
If you love having stretch goals, challenges, and making customers incredibly happy while fostering your obsessive need for perfect code and user experience, this is the job for you.
Responsibilities:
Design, implement, and enhance services at large scale, specifically focusing on improving Generative AI inference, quantization, optimization, finetuning, and evaluation.
Use your coding expertise to design and implement scalable, modular, and secure services.
Develop backend systems that support serving of LLMs and AI Agents at scale, utilizing the latest industry tools and techniques.
Work cross-functionally with product managers, AI scientists, business units, and other engineers to understand, implement, refine, and design Generative AI models.
ng end-to-end responsibilities including technical documentation and automation tests.
Interact with a variety of data sources, working closely with peers to refine features from the underlying data and build end-to-end pipelines.
Resolve defects and bugs during testing, production, and post-release patches, and participate in peer code reviews.
Explore the state-of-the-art technologies and apply them to deliver customer benefits.

Were hiring a Director of Engineering to lead our agentic capabilities across the platform, including the AI Assistant, MCP Server, and a rapidly expanding ecosystem of autonomous workflows. This is a high-impact role shaping how developers and organizations build, secure, and deliver software-through enterprise-grade AI that can take action, operate safely, and scale across SaaS and self-hosted environments.
As a Director of Engineering, you will...
Lead the engineering group delivering AI capabilities across the platform, powering customer-facing agentic experiences at scale
Shape the vision and drive the execution for AI Assistant, MCP Server, and platform-wide agent workflows
Ship enterprise-grade AI-secure, reliable, and observable-running in SaaS and self-hosted environments
Define the quality bar for AI delivery, including evaluation, safety guardrails, and continuous improvement loops
Stay ahead of LLMs, AI agents, and DevOps automation trends, translating innovation into platform differentiation
Build and mentor high-performing teams and a culture of execution, automation, and continuous improvement
Partner with Product, Security, and engineering leaders to drive adoption and make measurable customer impact.

MA?LYS is a fast-growing global body care brand, built on a proprietary e-commerce platform, deep consumer insights, and a relentless focus on performance. Millions of women worldwide use our products, and we are on a mission to become one of the most influential body care brands globally.
We operate at extreme velocity, with high standards and an obsession with results. We believe in challenging conventional thinking, making data-driven decisions, and moving quickly from idea to execution.
We are looking for a Head of AI to build and lead MA?LYS' AI transformation journey, serving as a rare opportunity for a highly strategic and deeply hands-on builder who thrives at the intersection of business, technology, and execution. In this role, you will have the ultimate playground to shape how our entire company operates, influence every major function, and create a lasting competitive advantage for a leading body care brand. Initially operating as an individual contributor partnering closely with the CEO and the Management Team. Over time, you will transition to build and lead a small, high-performing team as AI becomes an increasingly critical capability across our global e-commerce and retail operations.
To thrive in our high-pace environment, you must think like an owner, not a consultant, and be equally comfortable discussing macro business strategy with executives as well as writing code to solve a messy problem yourself. You are someone who embraces ambiguity, enjoys building from scratch, and is completely obsessed with execution. You possess the high emotional intelligence and empathy required to collaborate with non-technical stakeholders and build trust, yet you maintain the thick skin, resilience, and great sense of humor needed to handle direct communication and rapid structural pivots. Most importantly, you maintain an uncompromising commitment to quality and process improvement, ensuring that every automation or workflow you deploy actively drives our core business metrics forward without requiring hand-holding or constant reminders.
Your life at MA?LYS will look like…
* Define and lead the company's AI strategy and execution roadmap.
* Identify the highest-impact opportunities for AI across all business functions.
* Prioritize initiatives based on measurable business value, speed of implementation, and scalability.
* Design, build, deploy, and continuously improve AI-powered workflows, tools, automations, and agents.
* Translate business challenges into practical AI solutions that improve performance, efficiency, and decision-making.
* Develop production-ready applications and workflows using modern AI technologies, APIs, agents, and automation frameworks.
* Drive adoption and behavioral change across teams.
* Partner directly with business leaders to identify opportunities and implement solutions.
* Evaluate emerging technologies, models, vendors, and platforms.
* Establish governance, standards, architecture, and best practices for AI development.
* Define and track success metrics for every AI initiative, ensuring measurable impact on growth, productivity, speed, efficiency, or cost.
You will thrive in this role if you have…
* Strong technical foundation in Computer Science, Software Engineering, Data Science, or a related field.
* 5+ years of experience building technology, data, AI, automation, or software solutions in high-performance environments.
* Proven experience identifying business opportunities and translating them into deployed AI products, agents, automations, or workflows that drive measurable business impact.
* Hands-on experience working with modern generative AI technologies, LLMs, agent frameworks, APIs, embeddings, automation platforms, and production deployments.
* Strong proficiency in Python, SQL, APIs, and data-driven application development.
* Deep understanding of business operations, growth metrics, p

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.

You don't need a traditional technology background to succeed here. What we're looking for is someone who is genuinely passionate about AI, technically sharp, and capable of owning complex projects end to end. The technology operations side of the role is learnable; the drive, curiosity, and communication skills are not.
You'll be the person who shapes how our company uses AI internally, builds the systems that keep our technology running smoothly, and ensures our security and compliance obligations are met on time.
Responsibilities
Gen-AI & Intelligent Tools
You'll own this from day one. we are actively building AI into how every team operates, and you'll be the person making that happen.
Continuously explore the generative AI landscape and bring forward clear, well-reasoned recommendations on what our company should adopt
Lead the full lifecycle of AI tool rollouts, from identifying the right solution, building the business case, managing the rollout, and driving adoption across teams
Build and automate workflows using AI and no-code/low-code tools that remove friction and free up people to focus on higher-value work
Become the internal go-to for anything AI related, running training sessions, writing guides, and helping teams get practical results from the tools they use
Track and report on the ROI and adoption of deployed tools, and adjust course when something isn't working
Stay obsessively current on what's happening in AI, new models, new agent frameworks, new use cases, and translate that knowledge into concrete action
Technology Operations
Take ownership of our company's internal technology stack, including devices, software, user accounts, and day-to-day support
Manage employee onboarding and offboarding from a technology perspective
Keep SaaS tools, licenses, and vendor relationships organized and up to date
Maintain clear documentation so nothing lives only in your head
Security & Compliance
Keep ISO certification requirements on track by managing audit schedules, documentation, and coordinating evidence collection across departments
Drive SOC 2 readiness by maintaining the evidence library (access reviews, training records, change management logs) and supporting auditor visits
Vet new suppliers before onboarding by collecting security documentation, ensuring agreements are signed, and keeping the vendor register current.

We are looking for a visionary AI Lead to build our internal AI platform and architect adaptive intelligence systems that serve as a dedicated security architect for each of our customers. You will lead a team of AI Researchers and Engineers to move beyond simple integrations and build true autonomous security solutions.
What You Will Build
Autonomous Workflows: Build agents that execute security workflows end-to-end, automating detection, investigation, and response processes.
Runtime Defense: Productize research into active runtime guardrails and defensive control mechanisms.
Internal AI Platform: Build the shared infrastructure for models, training, and evaluations to enable safe, scalable AI features across the organization.
Adaptive Intelligence: Oversee the development of models that learn from customer-specific environments to generate high-signal, personalized insights.
Responsibilities
Lead the AI Research Group, managing AI Researchers, Engineers, and DevOps.
Own the intelligence engine end-to-end, delivering next-generation analytics and contextual visualization features.
Drive the strategic "build vs. partner vs. buy" decisions for cloud prevention and AI controls.
Collaborate with the Threat Team to develop AI-driven threat detections against emerging attack vectors and novel AI threats.