We are looking for a Product Manager to shape the future of business travel through Book with AI. You will own the product across Hotels, Rental Cars, and Rail, while serving as the day-to-day product lead for the team and making complex bookings feel as natural, trustworthy, and seamless as working with an expert travel agent.
We are looking for a Product Manager to own the Book with AI product end to end across Hotels, Rental Cars, and Rail. Your mission is to make booking complex business travel feel as natural as working with an expert travel agent - while making sure the agent is accurate, policy-aware, transparent, and reliable enough for real transactions.
This is a highly cross-functional, hands-on role. Youll lead day-to-day execution across the entire traveler journey - from the initial request through search, comparison, booking, post-booking support, and recovery when things go wrong, partnering closely with engineering, design, applied AI/ML, data, travel domain experts, operations, and other product teams.
Youll shape the conversational and user-interface experiences that power Book with AI, helping travelers express their needs, evaluate trade-offs, make confident decisions, and complete bookings with less effort. Youll stay close to the customer experience by reviewing real conversations, leading bug bashes, interpreting evaluation results, identifying patterns in user feedback, and ensuring the team remains focused on the highest-impact opportunities.
The ideal candidate thrives in ambiguity, learns quickly, and is energized by AI-native products. They create clarity and momentum without waiting for perfect information, roll up their sleeves, and drive work through uncertainty and chaos.
What You'll Do:
Own the vision, strategy, roadmap, and execution for Book with AI across Hotels, Rental Cars, and Rail.
Own the full Book with AI journey: intent understanding, search, ranking and recommendations, policy and personalization, comparison, contract, checkout, booking, and post-booking support.
Define a coherent cross-LOB experience for users who want to plan and book multiple parts of a trip, including clear sequencing, handoffs, and expectations.
Improve the product's key outcomes, including successful booking completion, conversion, time to book, user effort, CSAT, trust, and repeat usage.
Lead experimentation across conversational flows, recommendations, search and booking surfaces, using clear hypotheses and measurable success criteria.

At our company, our team is the foundation of our success. Join a people-centric culture that is fast-paced and rewarding: youll have the opportunity to work with some of the most talented people in the industry who value innovation, diversity, integrity, and collaboration.

Who we seek:

We are looking for a Senior Product Manager - Agentic AI to help shape and build our AgentIQ, our agentic AI platform transforming how enterprises understand their data, automate workflows, and move from insight to action.
This is a hands-on product role for someone who has built and shipped AI-powered products and, ideally, AI agents or agentic workflows. You will work closely with Engineering, AI/ML, Design, and customers to turn emerging AI capabilities into reliable, intuitive, and valuable enterprise products. You will own product initiatives end-to-end: from identifying customer problems and validating use cases to launching capabilities and measuring impact.

What you'll do:

Build the future of AgentIQ: Define and execute product initiatives that use AI agents to solve real enterprise data intelligence problems.
Design agent experiences: Define agent goals, workflows, tools, APIs, skills, actions, decision points, and human-in-the-loop experiences.
Own execution & trust: Translate concepts into requirements, user stories, and acceptance criteria while defining permissions, guardrails, explainability, and failure handling for enterprise data actions.
Customer discovery & validation: Work directly with customers to identify high-value agentic use cases, validate prototypes, gather feedback, and translate needs into product improvements.
Conduct market research: Analyze customer needs, competitive offerings, market trends, and emerging agentic AI technologies to identify opportunities and shape AgentIQs product strategy.

PassportCard Labs is where innovation meets impact. As the technological powerhouse behind PassportCard, we design and build cutting-edge solutions that revolutionize the insurance industry. Whether it's real-time claims payments or predictive analytics, our Labs team is at the forefront of driving change and shaping the future of insurance. Ready to innovate with us? About the role You will own AI products end to end, from discovery with the business, through vendor and platform selection, to production launch and measured business impact. This is not a roadmap-only role. You will be in the tools, prototyping with LLM platforms, writing and testing prompts, reviewing agent conversations, querying data and building working demos yourself before handing anything to engineering. What you'll do
* Own the full lifecycle of one or more AI products: problem framing, PRD, launch, iteration and scale-up.
* Work directly with business units (service, sales, claims, underwriting) to turn operational pain points into measurable AI use cases.
* Build hands-on: prototype agents and internal tools on approved platforms, test them yourself, and iterate on prompts, flows and guardrails.
* Analyse agent performance data and drive quality improvements.
* Define and track product KPIs tied to business outcomes.
* Partner with GRC, legal, privacy, security and data teams to move solutions through our AI SDLC and governance gates, including EU AI Act obligations.
* Manage AI vendors and technology partners across evaluations, POCs, commercial and delivery milestones.
* Support our AI Center of Enablement: help business builders scope, build and safely deploy their own solutions, and know when to escalate to professional development.
* Manage backlog, sprint planning and releases in a fast-moving, multi-country environment.
* Track the market and bring back what's actually usable: new models, agent frameworks and platforms.


Business Unit:
PassportCard Labs

We are looking for an exceptional Principal Product Manager to help build Core AI Platform-the trusted, scalable AI operating layer enabling Product, Engineering, and Business teams to adopt AI safely and effectively.
Reporting to the Senior Product Director, Core AI Platform, you will take part in translating strategy into concrete roadmaps and capabilities, and partner deeply with Engineering, Data, Architecture, Security, and business stakeholders to deliver reusable AI capabilities across .
This role is ideal for a senior, hands-on product manager, AI savvy, who combines technical depth, exceptional product sense, execution excellence, and the ability to drive adoption across complex organizations.
What you'll do:
The Core AI Platform enables three strategic outcomes: transforming how products are built, enabling every business function to redesign and automate workflows through AI, and creating agentic customer experiences across products.
You are not building isolated AI features for one product. You are building platform capabilities, reusable patterns, and product experiences that help teams across ship trusted AI faster, safer, and at scale.
Own the roadmap for one or more Core AI Platform areas.
Translate ambiguous business and technical needs into clear requirements, milestones, and measurable outcomes.
Define and deliver scalable, secure, compliant platform capabilities across AI infrastructure, orchestration, governance, evaluation, responsible AI, APIs, and reusable services.
Partner hands-on with Engineering, Data, Security, and Architecture to make practical build, buy, partner, and integrate calls in your domain.
Lead AI-native solutions that show how the platform accelerates product development, engineering productivity, and workflow automation.
Turn early solutions into reusable patterns, templates, and components teams can adopt.
Drive and track adoption of the tools and services you will build.

We are looking for a senior product manager to join our AI Unit and help shape the AI platform that powers our companys next generation of products.
This role focuses on the platform and ecosystem layer of AI, building the capabilities, standards, and systems that enable teams across the company to create AI-powered experiences effectively.
You will work closely with engineering, data, and product teams to define how AI capabilities are built, reused, and governed across the platform.
This is a high-impact role with broad scope. It requires strong product fundamentals, technical curiosity, and the ability to operate in an evolving space.
Job responsibilities
Own key parts of the AI platform roadmap, balancing foundational investments with product impact
Help define reusable AI capabilities (e.g., retrieval, embeddings, scoring, agent tooling)
Contribute to shaping how we evaluate, monitor, and improve AI systems in production
Partner closely with engineering on architecture and technical tradeoffs Support the definition of governance and control mechanisms (quality, safety, cost, transparency)
Work with product teams to enable adoption of AI capabilities across the platform
Improve developer and product team experience when building AI features
Contribute to defining standards, best practices, and ways of working for AI across our company.

we are looking for a AI Product Owner.
As an AI Product Owner & AI Process and Agentic Designer, you will own the process of transforming complex workflows into scalable AI solutions, bridging the gap between business stakeholders and AI Engineers. You will lead business process analysis, identify agentic process opportunities, validate business value, and define solution designs that enable successful AI implementation across the organization.
Responsibilities:
Business Process Analysis & Discovery
Partner with business stakeholders to map, document, and analyze existing workflows, identifying inefficiencies, bottlenecks, and manual processes ripe for automation.
Conduct discovery sessions and workshops to deeply understand business needs, pain points, and success criteria across departments.
Agentic Opportunity Identification
Evaluate workflows to pinpoint where agentic and AI-driven approaches can deliver the most value, distinguishing tasks suited to automation, augmentation, or full agentic orchestration.
Maintain a prioritized pipeline of AI/agentic opportunities, assessing each for feasibility, complexity, and impact.
Business Value Validation
Define and quantify the expected business value of proposed solutions (e.g., cost savings, time reduction, quality improvement, revenue impact) and build the business case for investment.
Establish success metrics and KPIs, and track realized value post-implementation to ensure outcomes match projections.
Solution Design & Definition
Translate business requirements into clear solution designs, including agentic process flows, decision logic, data inputs/outputs, integration points, and human-in-the-loop checkpoints.
Define guardrails, escalation paths, and fallback behaviors to ensure solutions operate safely and reliably.
Stakeholder & Engineering Bridging
Serve as the primary liaison between business stakeholders and AI engineers, translating business intent into technical requirements and engineering constraints back into business terms.
Own the product backlog, prioritize features, and clearly communicate scope, trade-offs, and timelines to all parties.
Implementation Enablement & Iteration
Guide solutions through the full lifecycle from concept to deployment, supporting testing, validation, and change management.
Gather feedback, monitor performance, and drive continuous refinement of deployed AI and agentic solutions.
Scalability & Standardization
Identify reusable patterns, components, and best practices to scale successful solutions across the organization.
Contribute to governance frameworks, documentation standards, and design principles for AI/agentic product development.

As a PM here, you own one of those systems end to end: you set the strategy, work daily with a team of engineers and data scientists in Tel Aviv, and drive decisions that show up in company-level growth numbers. The problems are genuinely hard and mostly unsolved - how do you prove the value of a channel you can't fully instrument, how do you respond to an ecosystem highly disrupted by AI, how do you make someone want an app before you ask them to sign up.
Product Manager, Central Products Responsibilities
Is the primary driver for identifying significant near and long-term opportunities in a large Product area, and driving product mission, strategies, and roadmaps in the context of broader organizational strategies and goals
Generate buy-in and drive consensus across organizations. Bring clarity and structure to ambiguous opportunities. Consistently demonstrate initiative and execute with limited oversight
Critically evaluate when AI is (and isn't) the optimal solution at portfolio level, setting the standard for rigorous tradeoff analysis
Translate AI capabilities into compelling, differentiated product visions that define market categories
Champion AI-native strategies including comprehensive evals and data strategies that enable org-wide continuous improvement
Drive product development with teams of engineers and designers, while maintaining team health
Work closely with cross-functional teams to drive product mission, define product requirements, coordinate resources from other groups (design, legal, etc.), develop roadmaps, and guide the team through key milestones
Reimagine workflows, responsibly using AI tools to transform team velocity and capability at organizational scale
Foster a culture of rapid experimentation and learning that becomes a competitive advantage
Scale AI best practices (including responsible AI use), workflows, and artifacts across the organization so capability compounds exponentially
Plan, initiate, and manage information technology projects for web-based products, applications, and platforms
Orchestrate complex execution across multiple organizations by combining AI automation with strategic human oversight at scale
Maximize efficiency in a constantly evolving environment where the process is fluid and creative solutions are the norm
Use AI-enabled tools to build products-setting the standard for PM technical capability
Interpret research and state-of-the-art learnings to design product strategy and apply rigorous logical reasoning at the frontier
Demonstrate expert understanding of system/architecture trade-offs and how they impact user experience and business outcomes; lead strategic technical decisions with engineering leadership
Integrate data, usability studies, research, and market analysis into product strategies and requirements to enhance user satisfaction and improve engineer productivity
Express complex and technical concepts at the right altitude, choosing the right medium and level of detail for the audience (XFN partners, execs, engineering, etc.)
Understand Meta's strategic and competitive position and deliver products that are aligned with our mission and recognized best in the industry
Define and analyze metrics that inform the success of products. Identify and track key performance metrics. Drive decision-making through user insights, quantitative analysis, and AB testing
Design sophisticated experiments and interpret results (leveraging AI) to drive strategic product decisions
Define and run evaluations (evals) to interpret model outputs at scale-establishing evaluation as a strategic capability for AI-powered experiences

We are looking for a Product Manager to help shape the future of our AI security platform and lead the evolution of our AI Control Plane. This role sits at the intersection of customers, engineering, and security, translating real enterprise AI challenges into scalable product capabilities.

You will spend significant time working directly with customers and the go-to-market team to deeply understand how enterprises adopt AI agents, where control breaks down, and what risks matter most. This is a highly hands-on role where you will prototype solutions quickly using AI tools, validate them with customers, and then partner with engineering to bring proven ideas into production.


What you will do
Spend significant time in the field with customers, prospects, and the GTM team to develop a deep, firsthand understanding of where enterprises struggle with AI adoption and where visibility, governance, and control break down.
Rapidly prototype solutions using coding agents and AI tools before involving engineering, building working demonstrations that customers can react to within days.
Validate prototypes directly with customers until you reach a clear, proven solution, then partner with engineering to deliver a de-risked product capability.
Drive the product roadmap and strategic direction of Onyxs AI Control Plane based on real customer insight, market dynamics, and product vision.
Partner closely with R&D, Security, and GTM teams to prioritize and deliver high-impact capabilities, acting as the connective tissue between customer reality and engineering execution.
Leverage AI tools extensively to increase speed, experimentation, and productivity across the product development process.

we are looking for a GTM Engineer.
As our GTM Automation Engineer, you'll design and own the systems, automations, and AI-driven tools that power how Sales and Marketing prospect, qualify, convert, and engage customers. You'll sit at the intersection of RevOps, engineering, and AI, turning manual GTM motions into scalable, self-service infrastructure. This is a builder's role: you'll go from a business problem to a working tool, then keep iterating as the team grows.
What you will Do:
Build internal tools that help Sales and Marketing work smarter and faster
Design and automate GTM workflows across prospecting, qualification, pipeline management, and customer engagement
Analyze the revenue funnel, identify bottlenecks, and continuously improve conversion and execution
Build dashboards and analytics that give the team clear visibility into what's working and where to improve
Develop playbooks, AI agents, automations, and self-service tools that eliminate repetitive work
Work closely with Sales, Marketing, and Product to solve business challenges with technology
Explore new AI technologies and bring the best ideas into the business

The Applied AI Strategist helps customers turn complex business needs into practical AI solutions. This role combines business understanding, applied AI fluency, product thinking, and strong execution. You will work closely with customers and internal teams to understand problems, define solutions, guide implementation, and ensure the resulting systems deliver measurable value. You will bring structure to ambiguous challenges, make thoughtful trade-offs, and help move AI initiatives from concept to reliable production use.

What You'll do
Develop a deep understanding of customer workflows, requirements, constraints, and goals.
Identify and prioritize high-value opportunities for applying AI.
Translate ambiguous business needs into clear solution plans, requirements, and success criteria.
Design and validate solution concepts through prototypes, demonstrations, and structured evaluations.
Define prompt, context, workflow, and evaluation approaches for AI-powered solutions.
Coordinate stakeholders and maintain alignment throughout implementation.
Guide trade-offs across speed, quality, reliability, scalability, governance, and customer impact.
Identify and resolve risks or blockers that could affect successful delivery.
Measure solution performance, adoption, and business value.
Turn recurring customer needs and implementation lessons into reusable capabilities and best practices.