דרושים » AI » Product Manager

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.

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.

We're looking for a Product Manager to own the operational efficiency aspect of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Define human and agent interaction models: Shape how users collaborate with AI agents, from user initiated queries and agent driven outreach to seamless side by side execution.
Lead agentic ticket resolution and IAM automation: Own the end to end product strategy for identity tasks, including provisioning and deprovisioning, entitlement changes, plus joiner, mover, and leaver workflows.
Own the agentic execution layer: Spec the core product rails for executing actions in customer environments, including human approval flows, risk controls, and confidence building mechanisms.
Drive field to roadmap feedback loops: Partner closely with customer facing and POC teams to translate real world edge cases and customer insights into scalable roadmap features.

Were looking for exceptional individuals to join our team and to partner in creating a set of consumer grade software experiences. We collaborate constantly and continually look for ways to work better together.
This team operate like an innovative startup within Workday: fast-moving, highly collaborative, and deeply technical, while still benefiting from Workdays scale and stability. Youll partner closely with product, engineering, data labeling, design, and go-to-market teams to ship consumer-grade, AI-first experiences that help recruiters and hiring teams spend more time with people and less time with software.
About the Role
As an LLM Product Manager on the company team, you will own the product lifecycle for core LLM-powered capabilities across candidate and recruiter experiences.
Youll drive product discovery, define requirements, and partner with engineering and data science from design through launch, iteration, and ongoing optimization.
One key part of this role is hands-on AI evaluation. You will regularly review LLM outputs and AI conversation logs, perform data labeling, and dig into traces to identify gaps, edge cases, and failure modes. Youll translate these insights into concrete changes to prompts, data, workflows, and system logic that measurably improve quality, reliability, and user experience.
You will:
Own AI-driven features, including candidate and recruiter-facing experiences.
Define product vision, goals, and roadmaps for your areas, balancing user value, technical feasibility, and business impact.
Lead rigorous evaluation of LLM behavior: review outputs, label data, and partner with data science to refine prompts, metrics, and evaluation strategies.
Collaborate closely with engineering to design scalable, robust solutions and iterate quickly on experiments.
Synthesize input from customers, internal stakeholders, and the market into clear, prioritized product requirements.
Communicate progress, tradeoffs, and learnings across a global, cross-functional set of partners, guiding teams toward high-impact outcomes.
This role is ideal for someone excited to be in the weeds with AI systems-understanding how they behave, why they fail, and what to adjust to make them meaningfully better for real users.

As a Product Manager, you'll lead one of Base44's newest products end to end: strategy, roadmap, and the calls on what ships. It's already live with real users, there's a lot still to shape, and some of our strongest engineers and designers are already on it. You'll work closely with engineering, AI and design to define what we build, why we build it, and how we measure success.
This is a hands-on role. You should be as comfortable discussing architecture and model behavior with engineers as you are talking to users and digging into data.
What you'll do:
Own the strategy, roadmap and execution for the product, from discovery to launch and iteration.
Work closely with engineering and AI teams on technical product decisions: agent capabilities, integrations, and how the product fits into the way teams already build and ship software.
Deeply understand our users, from solo builders to product, design and engineering teams inside companies, through research, feedback, usage data and hands-on use of the product.
Define clear requirements, priorities and success metrics, and make fast, well-reasoned trade-offs.
Use data and experiments to understand how users build, where they get stuck, and what drives activation, retention and growth.
Track the fast-changing AI landscape and turn new model capabilities into product opportunities.
Build prototypes and internal tools yourself with Base44 and other AI tools to test ideas quickly.
Work with Design, Marketing, Sales and Support to make sure what we ship lands well with users.

We're looking for a Product Manager to join our team and own a core domain within our B2C product, built primarily for the U.S. market. This is a hands-on role for an experienced product leader with a strong background in consumer products and real-world experience building AI-native experiences with LLMs and AI agents. You'll work closely with Engineering, Design, Data, and AI teams to define priorities, drive execution, and gradually take broader ownership of your domain and its roadmap as the team grows.
What You'll Do:
Own a core product domain and drive it from problem definition through execution and iteration
Build and improve AI-native user experiences powered by LLMs and AI agents
Work hands-on with prompts, conversational flows, model behavior, evaluations, and edge cases
Translate user needs, data, and business goals into clear priorities and product requirements
Partner closely with Engineering and AI teams on technical decisions and trade-offs
Drive cross-functional execution and keep stakeholders aligned around priorities
Make decisions and move work forward in a fast-moving, ambiguous environment
Take increasing ownership of your domain's roadmap as the product and team grow

Were looking for a Product Lead to be a core driver in how our product empowers security teams. You will be expected to deeply understand customer needs and translate them directly into product features that deliver real value. You'll own key parts of our frontend stack, drive key architectural decisions, and turn complex security data into clear, actionable business insights.

You will lead product vision and execution for critical capabilities that help organizations secure their AI systems end-to-end from data flows, to model governance, to AI usage in production. You will be accountable for turning complex customer problems into scalable product solutions, driving alignment across teams, and ensuring measurable customer and business outcomes.

This is a high-visibility, high-impact role with true ownership, where you will partner closely with Engineering, Design, Data, Security, and GTM teams to build a category-defining AI Security platform.


What Youll Do:
Own Product Strategy & Vision (End-to-End)
Define and own the product vision, strategy, and long-term roadmap for core AI security domains.
Make clear prioritization decisions based on customer value, business impact, and technical constraints.
Act as the product owner and decision-maker throughout the entire product lifecycle.

Were looking for a Senior Product Manager to join our AI & Data Security department and shape how enterprises discover, understand, govern, and protect their sensitive data. Youll bring proven experience in this domain, a strong product perspective, and the drive to turn complex security challenges into products customers love to use.
The opportunity:
Youll own a strategic product area spanning Data Security Posture Management (DSPM) and data governance, with meaningful influence over its vision, roadmap, and execution.
Working closely with customers, engineering, security researchers, and design, youll build capabilities that help organizations answer essential questions: Where is our sensitive data? Who can access it? Where are we exposed? And what should we do next?
This is an opportunity to combine technical depth, customer insight, and product judgment to deliver measurable impact-and help enterprises adopt AI with confidence.
What youll do:
Define the product vision, strategy, and roadmap for your area, connecting customer needs, market opportunities, and business goals.
Lead discovery with enterprise customers and security and governance teams to understand their challenges, validate opportunities, and shape solutions.
Drive capabilities across sensitive-data discovery and classification, exposure management, access governance, risk prioritization, and remediation.
Translate complex technical and policy requirements into intuitive workflows, clear product requirements, and actionable development priorities.
Partner with engineering, research, and design throughout the product lifecycle, making thoughtful tradeoffs around value, usability, accuracy, scale, and performance.
Work with sales, marketing, and customer success to bring capabilities to market, communicate their value, and drive adoption.
Define success measures and use customer feedback and product insights to improve outcomes continuously.
Help shape our broader data security strategy as enterprise environments and AI use cases evolve.

our company's product does the work a SecOps engineer does: it investigates coverage gaps against live enterprise security data, authors and tests detection logic, and tunes noisy alerting. That means product decisions here are SecOps engineering decisions, and they need someone who has actually done the job. You'll join our company's product team and own the detection engineering surface of the product - what good coverage analysis looks like, what correct detection content looks like, what a security team should be able to trust the product to do on its own. we are defining a category around Security Operations Resilience, and the fastest way to get that right is to be genuinely credible with the SecOps engineers we're building for.
What you'll be doing
Drive the detection product domain: Bring deep expertise in SecOps engineering across SIEM, data pipelines, and SOAR, and help the product team define where the product should excel. Develop a strong understanding of the day-to-day work of SecOps engineers and the challenges they face.
Turn expertise into product insight: Conduct deep, hands-on research across real security environments, SecOps engineering practices, data, and tooling. Combine customer feedback with your own experience and the knowledge of the broader team to identify meaningful problems, opportunities, and product directions.
Shape and execute the roadmap: Translate product insights into a focused roadmap aligned with company strategy and customer needs. Partner with the product and engineering teams to prioritize initiatives, make tradeoffs, define outcomes, and drive execution from discovery through delivery.
Turn problems into product direction: Translate ambiguous problems into clear product requirements and actionable plans. Work closely with engineering, design, and security experts to ensure complex technical problems are translated into products that are useful, intuitive, and technically sound.
Shape and evaluate AI agent capabilities: Define what our companys AI agent should be capable of doing as a SecOps engineer, what good looks like, and where it must be trusted or constrained. Develop evaluation frameworks, scenarios, and ground truth to measure and continuously improve agent performance.
Own product quality and outcomes: Maintain a deep understanding of how the product is used in real-world security operations. Validate assumptions, identify gaps, and use customer feedback, product data, and operational experience to continuously improve the product and its direction.

We're looking for a Product Manager to own the data and knowledge component of the platform end to end. This is both a strategy and an execution role: you'll decide what execution responsibilities the product would expand to and be in the details with engineering and design shipping it. The hard part isn't building a workflow - it's knowing which work a customer will genuinely hand to an agent, and what has to be true before they will.
What You'll Do:
Architect the Data Fabric: Own the data layer, defining schemas and cross relationships across IAM, network, and security domains to power agent capabilities.
Lead the Knowledge Layer: Own how policies and operating procedures are captured, structured, and updated so agents apply them reliably.
Build the Customer Experience: Partner with design and engineering to build user interfaces for data exploration, search, reporting, and connection health.
Scale Data Fabric and Knowledge as a Platform: Own the internal interface between data layers and other product components to feed agent visibility and decision making.
Drive Field to Roadmap Feedback Loops: Partner closely with customer facing and POC teams to turn real world field signals into scalable product features.