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.

Required Machine Learning Engineer II - GenAI Applications
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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 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.

We are seeking an experienced and passionate Product Manager to join our perimeter firewall product team. As a Product Manager, you will play a key role in driving the strategy, development, and successful delivery of our flagship cybersecurity solutions. You will work closely with cross-functional teams, including engineering, marketing, sales, and customer support, to ensure the product's continuous innovation and market success.
Key Responsibilities
Develop and own the product strategy, vision, and roadmap for the network security product family, aligned with the overall company goals and market trends
Conduct thorough market research, competitor analysis, and customer feedback analysis to identify customer needs, pain points, and market opportunities
Collaborate with engineering teams to define and prioritize product features, enhancements, and new releases based on business priorities and customer requirements
Work closely with the UX/UI team to ensure intuitive and user-friendly product design, enhancing the overall customer experience
Drive the product development process from concept to launch, including feature planning, user stories creation, and product testing
Collaborate with the marketing team to develop and execute go-to-market strategies, positioning, and messaging for product launches and updates
Monitor product performance and customer feedback post-launch, and make data-driven decisions to continuously improve the product's effectiveness and market competitiveness
Engage with customers, sales teams, and customer support to gather feedback, address concerns, and identify new business opportunities.
Monitor industry trends and technological advancements, ensuring that the network security product family remains at the forefront of the cybersecurity market.

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 highly technical Senior Product Manager to join our rapidly growing Product team and lead a strategic initiative at the core of our evolution.

In this mission-critical role, you will own the product vision, strategy, and roadmap for a new real-time data and infrastructure layer that underpins the entire platform. Youll work within an incubator-style innovation team, partnering closely with engineering, architecture, data, and GTM teams to build scalable, reliable, low-latency systems that enable advanced customer data processing and activation.

What Youll Do:
Lead end-to-end product strategy and execution for our next-generation real-time data infrastructure.
Own problem discovery, requirements definition, and roadmap development for complex backend and data engineering capabilities.
Work closely with engineering and architecture teams to design high-scale, distributed, event-driven systems.
Translate customer, market, and internal needs into clear technical requirements and KPIs.
Drive cross-functional alignment and ensure delivery of high-quality, high-performance infrastructure components.
Champion technical excellence, data quality, and system performance throughout the product development lifecycle.
Continuously analyze industry trends, emerging technologies, and competitive solutions in the CDP, data infrastructure, and real-time analytics domains.

As a Product Manager , you will be responsible for leading the development of core product features that enhance our on-chain security solutions. You will own the product lifecycle from vision to execution, ensuring the product aligns with our overall strategy and delivers value to our customers. Youll work closely with R&D, go-to-market teams, and customers, bringing together technical expertise, market insight, and leadership skills to deliver innovative solutions that meet the needs of the rapidly evolving blockchain space.

Your Chain of Impact:

Own the Product Vision and Roadmap: Define and drive the product roadmap in collaboration with leadership and cross-functional teams, ensuring alignment with overall strategic objectives.
End-to-End Feature Ownership: Lead the ideation, development, and launch of key product features, ensuring they are delivered on time and exceed customer expectations.
Cross-Functional Collaboration: Work closely with R&D, engineering, and go-to-market teams to ensure seamless execution of product initiatives, managing trade-offs between customer needs and technical constraints.
Customer Focus: Build and maintain strong relationships with customers to deeply understand their pain points, use cases, and security needs. Leverage this understanding to inform product decisions and prioritize features that deliver the most value.
Data-Driven Decision Making: Analyze market trends, customer feedback, and competitive intelligence to make informed product decisions and identify new opportunities for innovation.
Drive Consensus and Communication: Act as the main point of contact between stakeholders, facilitating clear and effective communication across teams, including R&D, marketing, sales, and support.
Execution and Delivery: Prioritize rigorously, ensure timely delivery of product initiatives, working closely with engineering teams to track progress, manage risks, and communicate updates to stakeholders.
Stay ahead of industry trends, blockchain technologies, and security challenges, positioning as a leader in Web3 trust and security.

we are looking for a Product Manager.
As a Senior Product Manager on the Accounts Receivable team, youll own a critical product that helps millions of small businesses across the U.S. get paid faster, gain control over their cash flow, and focus on growing their business instead of chasing payments.
Youll work closely with engineering, data, UXR, risk, go-to-market teams and customers to define strategy, execute at scale, and deliver reliable, high-impact payment experiences. This is a highly cross-functional role with end-to-end ownership-from identifying customer problems and setting a bold product vision to shipping, measuring, and iterating on solutions in a complex financial ecosystem.
The ideal candidate has a strong background in product management and is passionate about solving problems and bringing real value to users. If you have a strong track record of product execution, thrive in collaborative environments, and are excited about shaping the future of payments, wed love to hear from you.

As a Product Manager, you will own a product domain and play a key role in defining its vision, strategy, and execution. Youll work with engineering, data science, security, and go-to-market teams to build impactful solutions that drive our companys mission forward.
This role is broad and flexible, welcoming candidates from various backgrounds who have experience building scalable SaaS products, cloud-based platforms, security tools, or data-driven applications. We want to hear from you whether your expertise lies in product strategy, system architecture, API development, cloud security, AI/ML, or enterprise SaaS.
What Youll Do
Define and execute product strategy, ensuring alignment with customer needs and business goals.
Work closely with engineering teams to develop technical solutions that are scalable, secure, and easy to use.
Collaborate with cross-functional teams, including R&D, UI/UX, Sales, Marketing, and Customer Success, to bring features from concept to launch.
Translate complex technical challenges into product requirements and user-friendly solutions.
Own the product roadmap, prioritize features, and drive execution while balancing speed and quality.
Lead go-to-market efforts, ensuring successful adoption, engagement, and impact.
Stay ahead of industry trends in cloud computing, data security, and AI-driven automation to inform future product direction.
Use data and customer insights to continuously optimize and improve the product experience.

We are on a mission to secure the AI transformation that every company is going through, and the OS-level agent is at the heart of that mission. This is your chance to join the fastest growing area in our company and build technology that will shape how cybersecurity works in the AI era. You will be part of a multidisciplinary team that includes AI researchers, cloud engineers, and OS experts from Israel and from acquisitions like Lakera, all working together to deliver cutting-edge solutions to the largest customers in the world.
We are building the Windows agent that powers GenAI Protect, our companys flagship initiative to secure AI workflows across endpoints, browsers, and SaaS. In this role you will help define how AI and security intersect at the OS level and solve problems no one has solved before. If you want to work on technology that sits on the critical path of how people and machines use GenAI every day, this is where you want to be.
Key Responsibilities
Own the Windows protection layer: design and implement the core proxy, hooks, and anti-tampering mechanisms for GenAI agents.
Collaborate with Mac, Cloud, and Security Engine teams to build unified multi-platform behavior analysis.
Design IDE and developer environment integrations to monitor and protect AI-driven code flows.
Deliver production-ready, high-performance agent components with deep OS-level visibility.
Influence architecture decisions, threat models, and agent-core evolution.