לוח משרות דרושים Senior Product Manager משרה מלאה, לחיפוש זה נמצאו 153 משרות

We are looking for a Head of Product, where you will be the "CEO" of CRM business unit - one of the most strategically critical and newest additions to our product portfolio. You will have full end-to-end ownership of the domain's strategy, product roadmap, and engineering execution, leading an integrated team of Product Managers, Engineering Managers, and Developers. The CRM domain sits at the heart of how automotive dealerships manage their customer relationships and sales pipeline. It is a technically complex, data-intensive product: a per-dealer, multi-tenant system deeply integrated with dealership back-office systems and third-party data sources, with a rapidly growing AI and agentic layer. Your mission is to make this domain a category-defining product.
Your goal is to drive meaningful business outcomes by leading both product strategy and execution, breaking down the wall between product and engineering, and ensuring the team stays aligned, focused, and moving fast toward impact.
This role will be based out of Jerusalem or Tel-Aviv and report to the VP of Product & Development

We are looking for a Senior Product Manager to join our team and lead our CDP strategy.
This role is based in Tel-Aviv or Jerusalem and reports to the Head of Product.
What you will be responsible for:
Own the strategy and roadmap for the CDP's data layer and its data sources, balancing the reliability, scale, and integration quality of a foundational layer with the pace of a live, revenue-generating product.
Translate complex technical and architectural tradeoffs into product requirements and business impact, connecting platform decisions to adoption, ARR/MRR, and churn.
Own both sides of the product lifecycle: the inbound work of discovery, specification, and technical decision-making, and the outbound work of launch, enablement, and adoption with customers and CSMs.
Engage directly and regularly with customers, CSMs, and internal stakeholders, turning real-world data and integration challenges into product decisions.
Partner closely with R&D leads and engineering to shape and execute the roadmap.

Required Sr Staff Product Manager, QuickBooks Bill Pay
Company Overview:
We are the global financial technology platform that powers prosperity for the people and communities we serve. With tens of millions of customers worldwide using products such as TurboTax, Credit Karma, QuickBooks, and Mailchimp, we believe that everyone should have the opportunity to prosper. We never stop working to find new, innovative ways to make that possible.
Job Overview
As a Senior Staff Product Manager for QuickBooks Bill Pay, you will own the strategy and execution for a core pillar of QuickBooks money movement ecosystem: one of our highest growth and engagement areas.
In this high-visibility leadership role, you will work across teams and product surfaces to define long-term vision, identify new opportunities, and deliver step-change improvements in how small businesses manage and move their money.
Responsibilities:
Identify and quantify market opportunities through deep customer insight, data analysis, and competitive intelligence
Define and drive a cohesive product strategy across multiple teams and time horizons (near-, mid-, and long-term)
Lead complex, cross-functional initiatives spanning systems, teams, and business units
Influence company-wide priorities and align product, business, and technical strategies
Build scalable frameworks for product discovery, delivery, and measurement
Drive operational excellence across the product lifecycle - from ideation through launch and continuous iteration.

You'll own a core part of the platform end to end - from the primitives our customers build on to the experience of configuring and running agents inside a live enterprise. You'll have a lot of ownership while staying in the details day to day.
You'll succeed here if:
You build and work with AI tools yourself and can speak concretely about where they're strong and where they break.
You think in systems and data models, not screens - you get why the underlying record and data matters more than the UI on top of it.
You have real opinions about how agents should behave in production, and the judgment to know when a slick demo won't survive contact with a real customer.
You move fast, make tradeoffs explicit, and are comfortable making informed calls without perfect information.
Responsibilities
What you'll do
Own product areas from discovery to launch. Run the research, make the calls, ship the thing.
Own the primitives agents are built from - how they get context, which tools and systems they can act on, how work moves between them, and where a human stays in the loop. You're designing the composable layer, not one-off agents.
Build for extensibility. The people configuring agents on this platform are our customers, so the connectors, configuration, and guardrails have to hold up in hands you've never met.
Design how agents behave, what they know, what they're allowed to do, when they act, and when they hand off to a human.
Prototype your own ideas. Show, don't tell: stand up a working demo before it eats engineering time.
Sit close to customers (CHROs, HRIT, HR leaders), and turn what you hear into product decisions.
Make the hard calls on scope and sequencing, including what not to build.

About the role You own the product end to end: the problem, the prototype, the spec, the release, the experiment, and the call to keep it, change it, or kill it. Which parts of the product you're focused on follows the opportunities we decide to invest in, and you'll hold several of them at once. The craft is the same in all of them. Some of what we build is AI itself: an AI co-founder for business owners, and an AI-led signup flow. Some of it is ordinary product work: checkout, pricing, compliance filings, a dashboard. In both cases, AI is how the job gets done here, not a type of project you get assigned. You build the prototype yourself. Our PMs build working prototypes in AI coding tools such as Lovable and Claude Code - alone or with a designer, depending on the project. The prototype goes to engineering as the spec, with real components, real states and real copy. Not a wireframe and a document. You move fast. You have an engineering team building against your decisions, and you are responsible for what they spend their time on. We release several times a day, nothing waits for a quarterly plan, and what you sketch on Monday can be live by Wednesday. You run your own experiments. Design the TEST, declare the primary metric before you open it, set exposure, get it instrumented with the data team, read it, and call it. Tests run in Statsig, with results in Heap and Tableau, though often we skip the dashboard and have an AI agent read the TEST straight out of the warehouse. Closing your own TEST on control is part of the job. You get your own answers. The same habit applies to every question, not only to tests. Instead of filing a request and waiting, you go and find out. You are expected to notice when a number is wrong, and to say so before a decision gets made on it. You own the consequences. When a price renders wrong or a payment method stops appearing on one browser, you are the person who works out how many customers it reached, decides what we do for them, and makes sure it cannot happen the same way twice. You hold the stakeholders. Requests reach you from other product teams, BizDev, Marketing, Finance, Legal, CX and data, and they will not agree on what matters most. You hear them out, decide what your team takes on and in what order, and tell the people who did not get what they asked for why not. They also need to know what is changing, what it means for their work, and when it lands, before it lands.

Identify opportunities to make structured, node-based workflows more intuitive, adaptable, and accessible to a broader range of creators
Develop abstraction layers and editing capabilities that allow teams to modify and extend existing workflows without sacrificing quality or consistency
Shape capabilities that enable users to generate variations and new outputs efficiently within defined creative systems
Balance foundational investments with user-facing improvements to support both immediate adoption and long-term scalability
Translate complex systems and workflow concepts into clear, compelling narratives for cross-functional stakeholders
Establish success metrics around workflow adoption, output quality, scalability, and user impact

This role sits at the intersection of customers, Engineering, Data Science, GIS, Sales, Marketing, and Customer Success. You will translate validated market needs into scalable products, clear technical requirements, and prioritized roadmaps.

The ideal candidate combines strong product strategy, technical fluency, customer discovery, and hands-on product ownership, with experience building B2B technology products in data-rich or infrastructure environments.



Key Responsibilities


Product Strategy & Roadmap

Own and evolve the product roadmap in line with company and revenue goals.
Shape the positioning and evolution of Recover, EarthWorks, EO Discover, and future SaaS, DaaS, API, and AI offerings.
Prioritize scalable, recurring product opportunities over one-off customer requests.
Build business cases and define product KPIs to support investment and prioritization decisions.


Customer & Market Discovery

Conduct structured Voice of Customer research with utilities, engineering firms, agencies, and partners.
Translate customer workflows into clear problem statements, personas, and Jobs-to-be-Done.
Validate concepts through prototypes, MVPs, pilots, and market feedback.
Assess market size, adoption potential, and willingness to pay.


Product Ownership & Delivery

Translate strategy into epics, features, user stories, and acceptance criteria.
Own and prioritize the backlog based on customer value, strategic fit, dependencies, and effort.
Partner closely with Engineering, Data Science, UX, and GIS through planning, refinement, development, and release.
Coordinate UAT, define release criteria, and ensure clear traceability from customer problem to measured outcome.


Technical Product Leadership

Work across SaaS, cloud platforms, APIs, integrations, AI/ML, geospatial analytics, remote sensing, and SAR.
Translate technical capabilities into customer-facing products and workflows.
Understand architecture, data flows, integrations, and technical trade-offs well enough to work effectively with R&D.
Challenge technology-led development that lacks clear customer or market value.


Go-to-Market & Product Performance

Partner with Marketing, Sales, and Customer Success on ICPs, packaging, pricing, positioning, launches, pilots, and POCs.
Support strategic customer and partner engagements.
Track product success through adoption, retention, revenue, customer value, quality, and time-to-value.
Use customer feedback, product usage, and competitive insights to drive continuous improvement.


Product Operations

Improve intake, prioritization, release-management, and product governance processes.
Build practical templates and dashboards for roadmaps, business cases, launches, and product performance.
Strengthen coordination across Product, Engineering, Operations, Sales, Marketing, and Customer Success.

The Director of AI Enablement is both a builder and a transformation leader, someone who can identify opportunities, design and implement AI solutions, and drive adoption across the organization to create measurable business value.

Reporting directly to the CEO, this is a highly visible, hands-on leadership role at the intersection of business transformation, technology, and organizational change.

The successful candidate will lead AI roadmap, build practical AI solutions, drive adoption across functions, and help transform how work is performed throughout the organization.

What Will You Do?

Define and execute AI roadmap.

Identify, prioritize, and implement high-impact AI opportunities across the business.

Partner with business, operational, engineering, and corporate functions to understand workflows, pain -points and improvements opportunities.

Translate business challenges into practical AI use cases and measurable outcomes.

Design, build, pilot, and scale AI-powered solutions, including AI agents, copilots, automations, knowledge assistants, and business applications.

Partner with IT, Engineering, Infrastructure, and Security teams to ensure scalable, secure, and sustainable solutions.

Lead the transformation, not just the technology; drive AI adoption across departments and help leaders redesign processes and ways of working to maximize AI value.

Work hand-in-hand with HR and business leaders to lead the organizational transformation required to successfully adopt AI, build internal capabilities, and embed new ways of working across the company.

Establish and lead the core pillars of the AI Enablement program: Adoption, Infrastructure, and Solution Development.

Build and lead a community of AI Builders and Leaders across the organization.

Establish AI governance, Responsible AI practices, and security standards.

Measure and communicate business impact through adoption, productivity gains, efficiency improvements, time savings, and ROI.

Success is measured not only by building AI solutions, but by driving meaningful improvements in productivity, efficiency, quality, decision-making, and business performance across the organization.

a Product Manager role at a company scaling fast, working behind the scenes of some of the biggest live events in the world. Your decisions here actually move the needle. You'll dig into real problems alongside engineering, design, and customer success, and see your work shape a platform used by thousands of people around the world every single day. If you're motivated, eager to take real ownership, and ready to grow alongside a team that's just getting started - this is your moment.

What You'll do
Define and execute the product roadmap in alignment with company objectives and market demands.

Collaborate with cross-functional teams, including engineering, design, sales, and customer success, to deliver high-quality product solutions.

Conduct market research and analyze industry trends to identify opportunities for innovation and improvement.

Gather and prioritize product requirements based on customer feedback, business goals, and data analysis.

Develop detailed product specifications, user stories, and acceptance criteria.

Work closely with the engineering team to ensure timely delivery of features and improvements.

Monitor product performance, identify areas for enhancement, and drive continuous optimization.

Act as the voice of the customer, ensuring that product decisions align with user needs and expectations.

We are looking for a highly technical Senior Product Manager with a deep background in cybersecurity to join our Product team. This is a unique opportunity for a cyber expert to take full ownership of a strategic product domain and make a direct contribution to product execution and company success. You will lead the technical roadmap, defining specifications that require a profound understanding of security vulnerabilities, attack vectors, and the attacker's mindset, including where AI can amplify and evolve our cybersecurity capabilities.
Roles & Responsibilities:
Product Management activities throughout the entire product lifecycle in a fast-paced startup environment
Own roadmap strategy, build backlog, define and execute product functionality with the R&D team in agile methodology
Leverage deep cybersecurity expertise to perform market and competitive analysis and drive product strategy
Define and drive AI-driven product capabilities, shaping where AI fits within the cybersecurity domain and owning decisions about model behavior, accuracy tradeoffs, and workflow integration
Collaborate with R&D, sales and customers to gain market insights and help drive revenue and ensure ongoing product successes

our company seeks an experienced offensive security leader to build and lead the Product Red Team. This newly established function emulates real-world attacks against synthetic company customer instances to identify vulnerabilities, misconfigurations, and design gaps before external threat actors or researchers discover them.
This role requires an operator who has led offensive security operations in high-consequence environments-covert intelligence or military settings preferred-with proven ability to establish operational standards, navigate ambiguous mission parameters, and influence cross-functional stakeholders around complex security trade-offs.
You will build upon this team's charter, engagement frameworks, and rules of engagement with other teams. You will help drive our company's product security and response posture through adversary emulation, vulnerability research, exploit development, and collaboration with other offensive and defensive teams.
Key Responsibilities
Establish Operations Objectives, Policies & Procedures
Own Product Red Team's operation objectives and engagement selection criteria in alignment with product security roadmap and risk register, CISO directives, and company priorities.
Expand upon rules of engagement, threat actor emulation standards, testing policies, and protocols.
Establish operational security procedures for covert operations, detection evasion, and incident response protocols.
Create escalation procedures and approval frameworks for high-risk engagements.
Own campaign selection processes, engagement proposal templates, and findings documentation and readout standards.
Define Engagement Framework & Success Metrics
Design and implement engagement types: vulnerability risk assessment, product security assessments, and ongoing adversarial campaigns.
Establish and report on technical and operational success metrics: kill chain coverage, remediation velocity, and detection engineering insights.
Create reporting templates-technical findings, executive briefings, engineering recommendations-that drive actionable remediation.
Define boundaries and operational testing windows in coordination with product engineering and detection engineering teams.
Lead Offensive Operations Team
Build team capability across threat actor emulation, exploit development, persistence mechanisms, supply chain security, and AI-specific attack vectors (prompt injection, model manipulation, data poisoning).
Mentor team on operational security tradecraft, documentation discipline, and risk management under ambiguous conditions.
Support team members in their time zones, spanning from US West Coast to India.
Conduct Complex Offensive Operations
Design and execute operations simulating realistic attack paths against synthetic customer instances-from initial access through persistence, lateral movement, and data staging.
Demonstrate real-world exploitability of vulnerability chains, design flaws, and configuration gaps.
Validate security controls, detection capabilities, and logging sufficiency across kill chain phases.
Identify and exploit legitimate our company features for malicious purposes ("living off the land" testing) to reveal detection gaps.
Build and operate proof-of-concept exploits and command & control channels that inform both remediation and detection priorities.
Navigate Cross-Functional Complexity.

We are looking for a Senior Product Manager to join us and help build the next generation of our UGC (User-Generated Content) platform, powered by AI.
This role focuses on creating AI-driven capabilities on top of our core products - enabling brands to better collect, understand, and activate customer content such as reviews, ratings, and visual UGC.
You will work in a strong product trio with design and engineering to discover, validate, and deliver solutions that create real value for customers and drive measurable business impact.
This is a unique opportunity to shape how AI transforms customer content into actionable insights and growth engines for e-commerce brands.
What youll do:
Partner closely with engineering and product design in a product trio to discover and deliver impactful solutions
Lead continuous discovery with customers, prospects, and internal stakeholders
Define problems worth solving at the intersection of UGC, AI, and e-commerce
Translate customer and business needs into clear product direction and priorities
Drive fast iteration cycles from discovery to delivery and learning
Use qualitative and quantitative insights to inform decisions and measure outcomes
Work closely with GTM, sales, and customer success to ensure strong product adoption and feedback loops
Become a domain expert in UGC, customer behavior, and AI-driven product capabilities.

Were looking for a Senior Product Manager to own Data Classification domain - one of the core pillars of our platform.
In this role, you will define the vision, strategy, and roadmap for how sensitive data is discovered, classified, and enriched across cloud and SaaS environments. You'll work at the intersection of AI, data, and security to build capabilities that help customers better understand their data, improve governance, and reduce risk.
This is a highly cross-functional role with significant ownership. You will partner closely with Engineering, Data Science, Design, Customer Success, and Sales to drive the evolution of this domain while influencing the broader product strategy as the platform continues to grow
Responsibilities
Own the product strategy, roadmap, and execution for Data Classification domain.
Define how sensitive data is discovered, classified, enriched, and operationalized across the platform.
Work closely with customers, prospects, and internal stakeholders to understand challenges and translate them into product direction.
Partner with Engineering, Data Science, and Design to deliver scalable, high-impact capabilities from concept to launch.
Drive product decisions by balancing customer needs, technical complexity, and business priorities.
Define success metrics, analyze product performance, and iterate based on qualitative and quantitative feedback.
Collaborate with Product, GTM, and Customer Success teams to ensure successful adoption and clear product positioning.
Identify opportunities beyond the classification domain and contribute to the overall platform strategy.

We are looking to hire a Senior Product Manager, reporting to the CPO, to execute on the product roadmap and innovation. Youll take high-level direction, a market constraint, a we need to own this workflow end to end, and turn it into a specification precise enough to build against, then carry it from definition through deployment.

What youll do

Translate company roadmap into deliverable requirements (PRDs): user stories, states, edge cases, data contracts, acceptance criteria, success metrics
Work closely alongside software engineers to align on technical specifications, feature requests, and workflow optimizations
Own the full delivery cycle: discovery, definition, design partnership, sprint execution, QA, launch, adoption
Design for genuinely different personas with conflicting needs: underwriters and analysts who live in the product all day, deal flow partners who touch it a few times per deal, borrowers who see it once, and credit stakeholders who need to trust its output
Work directly with analysts and underwriters to understand the real workflow, including the parts that happen outside the system
Define where automation ends and human judgment begins, and make those checkpoints legible in the UI
Apply strong analytical skills to establish clear KPIs, ensuring product deliverables generate measurable business impact rather than just task completion.

We are seeking an agile, hands-on R&D Lead who excels at rapid learning and making smart, pragmatic decisions to drive our core data engineering squad in Tel Aviv. We care less about years spent in formal management or having a decades-long resume, and much more about your ability to take extreme ownership, learn new paradigms on the fly, and keep the team moving forward.


In this role, you will help architect, write, and deploy the Python-based infrastructure that processes millions of records daily and serves them at sub-second latency to autonomous AI systems. You will guide the design of high-scale data pipelines, integrate semantic search paradigms, and build out our agentic connectivity layer. If you are a proactive decision-maker who thrives on optimizing complex systems and wants to build the infrastructure that LLMs rely on to understand the real world, this is your next role.


Key responsibilities
Execution & Decisive Leadership: Lead the technical delivery by setting the pace and making pragmatic architectural choices that keep the team moving forward. You prioritize shipping and iterating over analysis paralysis.
Hands-On Development (Python): Roll up your sleeves and remain technical. Write clean, concurrent, and scalable Python code to handle data ingestion, transformation, and serving pipelines.
Continuous Learning & Tech Agility: Work across a polyglot environment. You dont need to know every tool on day one, but you must be eager to rapidly evaluate, learn, and adopt the optimal databases, message brokers, and execution frameworks to manage technical debt.
Agentic Infrastructure & MCP: Deploy systems that allow autonomous agents to seamlessly query our datasets. You will help build and scale our Model Context Protocol (MCP) servers, translating LLM intents into highly optimized database queries.
High-Scale Data Pipelines: Oversee an end-to-end data architecture capable of supporting continuous ingestion, error cleansing, and near-real-time refreshing of a 1B+ record database while enforcing GDPR and CCPA compliance.
Search & Retrieval Integration: Design and optimize advanced search capabilities, leveraging vector databases, embeddings, and hybrid search techniques to ensure absolute precision when AI models query our data.