לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,244 משרות

we are looking for a AI Architect.
Responsibilities:
1. AI Architecture & Technical Leadership
Guide AI architectural direction across Navinas platform, focusing on system design, model lifecycle, and integration of AI components into product workflows.
Act as a senior technical reviewer and thought partner for complex or cross-team AI design decisions.
Provide technical oversight on areas such as exploring new models/technologies/opportunities for the company
Surface architectural risks, tradeoffs, and long-term implications, including cost, security and compliance aspects and clearly advise the VP of AI when certain technical directions should not be pursued.
This role influences judgment, clarity, and experience, not through blocking authority.
2. Hands-on Applied Innovation (Core Pillar | ~50%)
Spend at least 50% of time hands-on, building:
End-to-end AI prototypes
Technical demos and proofs of concept
Exploratory implementations of new AI capabilities
Drive applied innovation that:
De-risks new technologies
Demonstrates feasibility and impact
Informs product direction and business opportunities
Build fast, concrete examples that teams can learn from and extend.
Transition successful prototypes to team ownership for further development and scaling.
This role is expected to lead AI innovation by doing, while working closely with product, medical and engineering
3. Best Practices & Technical Enablement
Define and promote best practices for applied AI development, including:
Rapid prototyping and vibe coding.
Agent design, orchestration, and evaluation patterns
Experimentation, benchmarking, and validation workflows
Help teams align on shared technical patterns, tools, and standards.
Identify opportunities to consolidate duplicated efforts and improve cross-team coherence.
Lead technical deep dives, architecture discussions, and design reviews.
4. AI Compliance & Regulatory Enablement (Technical Scope)
Ensure Navinas AI development practices align with applicable AI regulations for a software product handling sensitive medical data.
Define and guide AI-specific compliance practices, including data usage, transparency, evaluation, and documentation expectations.
Support and contribute to AI-related compliance and regulatory documentation, in close collaboration with Legal, Security, and Medical Research teams.
Serve as a technical point of reference for AI compliance questions.

As a Senior Product Operations Manager, you will play a critical role in scaling how the Cortex platform and products organizations operate, execute, and deliver outcomes. You will sit at the intersection of Product, Engineering, GTM, Finance, IT, and Customer-facing teams, turning complex, cross-functional challenges into clear processes, operating models, and scalable mechanisms.
You will help enable product teams to move faster with clarity and confidence by building the systems, governance, metrics, and execution frameworks that support one of the fastest-growing cybersecurity platforms in the world.
Key Responsibilities
Own and evolve core product operating processes across the Cortex portfolio
Partner closely with Product Management leaders to translate strategy into executable plans, milestones, and measurable outcomes.
Design, implement, and scale product operating models that support complex initiatives such as migrations, platform unification, licensing changes, and large-scale customer transitions.
Serve as a central point of orchestration across Product, Engineering, GTM, Sales Ops, Finance, IT, Legal, and Support to remove blockers and drive execution.
Identify operational friction, inefficiencies, and gaps across the product lifecycle and proactively drive systemic improvements.
Drive tooling, automation, and documentation that improve visibility, predictability, and scalability of product operations, while enabling AI-ready workflows, data foundations, and decision support.
Act as a trusted operator and problem-solver for complex, ambiguous initiatives that span beyond a single product or team.

We are looking for a strategic product leader to head Data Platform domain - a core area of our offering. This role is critical to the companys growth, driving both short-term impact and long-term vision for managing and leveraging massive amounts of structured and unstructured clinical data. In this role, you will lead the product strategy and execution for the domain, while guiding and mentoring product managers within the team. You will work closely with Engineering, Data Science, Clinical Experts, the rest of the Product group, as well as partners and strategic customers, shaping how our platform operates and scales to meet the needs of our growing business.
Responsibilities:
Define and drive the roadmap for Data Platform, balancing short-term business needs with long-term scalability and platform strategy.
Own the product vision for data ingestion, processing, and access, ensuring the platform supports all product groups and business initiatives.
Lead and mentor a team of product managers, fostering growth, collaboration, and a culture of ownership and impact.
Support your team in translating complex technical and data requirements into clear product specifications, prioritizing initiatives that maximize business impact.
Partner closely with Engineering, Data Science, Clinical Experts, Customer Success, the entire PM group, and external partners and strategic clients, to design and prioritize initiatives, ensuring data quality, performance, and usability.
Drive cross-team technical initiatives end-to-end, coordinating dependencies and aligning stakeholders across the organization.
Establish key metrics to measure platform performance, adoption, and impact on product outcomes.

As a Senior or Principal Software Engineer in Cortex Cloud, you will contribute to the development and scaling of cloud-native security solutions for enterprise organizations. This role involves working within an established team to evolve a high-traffic product, with a focus on refining architecture, optimizing the technology stack, and maintaining engineering standards.
Your responsibilities include writing reliable code, influencing product direction, and designing distributed systems. You will be expected to make technical decisions that impact the long-term stability and performance of cloud workload protection services.
AI Integration & Engineering Workflow
A core component of our development process is the use of AI. Rather than basic code completion, we integrate AI assistants as functional components of our workflow. Our team utilizes a multi-agent AI system (IDEX/ProDex) that assists across the development lifecycle: from planning and architecture to code analysis and security reviews.
In this role, you will:
Work with AI Tools: Utilize platforms such as Gemini, Claude, and Cursor for tasks beyond code generation, including root-cause analysis, system design reviews, and architectural assessment.
Develop AI-Augmented Workflows: Help refine how AI is integrated into the SDLC, including the orchestration of agents and the development of internal tools that extend AI capabilities across our codebase.
Maintain Quality Standards: While AI assists in increasing velocity, you are responsible for the technical output. This includes critical review of all generated code and ensuring that AI-assisted work aligns with our architectural requirements and security benchmarks.
Interact with Specialized Agents: Coordinate with AI agents (Product, Architecture, Security) that operate on shared context to assist in managing complex engineering tasks.
We are looking for engineers who are interested in leveraging AI as a technical tool to manage complexity and who want to contribute to the practical application of human-AI collaboration in a cloud environment.

We're currently seeking a Senior Data Researcher to join our Data Team and help proactively guide our business growth through the provision of strategic perspective, market insight, and experience with analytical tools and techniques. You will work closely with product managers, medical analysts, and the engineering team and bring your expert analytical ability to provide key insights, recognize key opportunities, and drive strategic initiatives forward.
Responsibilities:
Build and maintain data pipelines and dashboards to improve data visibility and reporting in production environments
Implement AI-powered workflows for internal and external uses
Work with product, medical, and engineering teams to turn data into insights and recommendations.
Conduct exploratory analysis to identify opportunities for new features, model their impact, and drive performance improvements.
Analyze product performance, user behavior, and interactions to showcase product value.
Define, measure, and build monitoring tools for key KPIs.
Visualize insights clearly to improve understanding and decision-making.
Support roadmap planning by identifying trends, gaps, and opportunities.

Palo Alto Networks is seeking a Principal Backend Engineer for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Key Responsibilities
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.

we are looking for a FinOps Engineer.
In this role, you will build and own the techno-financial operations practice for cloud, infrastructure, AI, data, and third-party engineering services. You will work closely with Engineering, DevOps, AI Infrastructure, Product, and Finance to make infrastructure spend transparent, predictable, optimized, and aligned with business value.
The role is in the junction of engineering and finance, You will be responsible for creating visibility into cloud and infrastructure costs, driving optimization initiatives, improving forecasting accuracy, defining cost governance practices, and helping engineering teams make better cost-aware technical decisions without slowing down delivery.

We are looking for a Tech Lead to serve as the technical "center point" for our Population Health engineering group. In this high-leverage, non-managerial role, you will float between multiple feature teams to solve the most complex architectural challenges, unblock technical debt, and ensure our systems scale as fast as our data does.
You aren't just building features; you are building the engine that powers them. You will spend 70-80% of your time hands-on-coding, architecting, and creating the shared tools that make every other engineer in the group faster and more effective.
Responsibilities
Architectural Glue: Own the technical "contracts" (APIs) between teams to ensure seamless integration across the Pop Health ecosystem.
Performance & Scalability: Optimize our engines and application layer to handle massive clinical datasets, ensuring our UI remains snappy and our backend is resilient.
Data Pipeline Strategy: Lead the design and implementation of scalable BI data pipelines and robust ETL/ELT processes that transform complex clinical data into actionable insights.
Force Multiplier: Identify friction points in the development lifecycle and build internal tools or libraries to increase engineering velocity.
Technical Stewardship: Provide high-level code reviews, author RFCs for major architectural shifts, and mentor senior engineers through complex technical hurdles.

Get ready to shape the future of software development at Palo Alto Networks! You'll be joining a pioneering team building our revolutionary, internal agentic AI tool. This isn't just another product; it's our solution for increasing developer productivity through advanced vibe coding using state-of-the-art LLM models.
We are developing an enterprise-grade, high-scale platform, designed to be used by thousands of our own engineers. We are looking for a tech-savvy and innovative developer who is excited to build the generative AI-powered tools that will define our next generation of engineering.
Key Responsibilities
Drive the development of sophisticated, AI-powered features end-to-end, from ideation and technical design to seamless deployment in production.
Architect and implement hyper-scalable solutions on GCP capable of supporting thousands of developers, ensuring enterprise-grade quality and reliability.
Obsess over the developer experience, passionately enhancing the user experience (UX) of the product's features to create an intuitive and powerful tool.

We are seeking an Engineering Manager to lead a cross-platform team within the Cortex XDR agent group. In this role, you will lead a group of talented engineers, making critical technical decisions and driving the team's priorities to build revolutionary security capabilities. You will own large projects, guide your engineers, and deliver impactful results in a rapidly changing environment, shaping the future of endpoint protection for millions of users.
Key Responsibilities
Lead, mentor, and manage a team of cross-platform engineers, guiding them through technical challenges, system design, and large-scale projects to deliver results.
Proactively collaborate and exchange information with Product, QA, and other stakeholders to improve processes and ensure successful project alignment.
Provide technical guidance and mentorship to engineers of all levels, fostering an environment of continuous learning and high-quality code delivery.
Take full ownership of product flows from a technical standpoint, partnering with Product Managers to define and deliver new features.
Focus on the customer by analyzing and resolving complex field-reported issues, reinforcing a customer-centric engineering approach.
Drive team growth by leading the hiring process for new engineers and fostering a positive, engaged, and motivated team environment.
Empower team members by providing regular, constructive performance feedback and creating opportunities for professional development.

As a Sr Product Manager for Cortex Cloud Application Security (CAS), you will be at the forefront of securing the development ecosystem from code to deployment. You will help design, build, and ship industry-defining products that facilitate "shift left" security operations. Your work will directly empower application security teams and developers to build more secure cloud applications by identifying and remediating risks across IaC, source code, open-source libraries, and CI/CD pipelines.
Key Responsibilities
Build and launch enterprise class products throughout the entire product lifecycle - collect customers' feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex cloud CAS and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launch
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases.

As a Sr Product Manager for Cortex Cloud Application Security (CAS), you will be at the forefront of securing the development ecosystem from code to deployment. You will help design, build, and ship industry-defining products that facilitate "shift left" security operations. Your work will directly empower application security teams and developers to build more secure cloud applications by identifying and remediating risks across IaC, source code, open-source libraries, and CI/CD pipelines.
Key Responsibilities
Build and launch enterprise class products throughout the entire product lifecycle - collect customers' feedback and hear their need, prioritize features and trade offs, write the product requirements and work closely with engineering group to deliver the roadmap
Lead core pillars within Cortex cloud CAS and grow them to new horizons by bringing innovative and disruptive approaches, and ensure that they can be effectively launch
Working effectively with all areas of the organization in a global company, from engineering to sales
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases
Work closely with our customer success, marketing and sales teams on supporting existing customers, identifying common user problems and taking the solutions you define to market
Understand DevOps and Application security practitioners, often being able to directly relate to and understand use cases.

In this role, you will be dedicated to safeguarding our clients data within the dynamic cloud landscape. As an expert in Data Security Posture Management (DSPM) for SaaS and DBaaS, you will develop cutting-edge solutions for data discovery, classification, and protection across platforms like Snowflake, Databricks and MongoDB Atlas. Your work will focus on proactively identifying and eliminating risks, ensuring our clients' sensitive information remains secure, compliant, and accessible only to authorized users, empowering them to grow their business securely.
Key Responsibilities
Drive innovation by designing and implementing impactful solutions that address client needs, contributing to the full feature development lifecycle from design to deployment.
Take ownership of specific feature segments, ensuring high-quality code and robust functionality through meticulous attention to detail and a focus on execution.
Proactively collaborate and exchange information with cross-functional teams, including product and infrastructure, to ensure seamless integration and alignment on shared objectives.
Challenge the status quo by generating innovative ideas and actively participating in brainstorming sessions to foster product and architectural improvements.
Actively engage in technical discussions, openly sharing knowledge and learning from others to solve complex problems and elevate team expertise.
Design and build highly scalable, resilient, and secure cloud-based applications and microservices.
Contribute to an agile and dynamic engineering culture, demonstrating a strong drive and outstanding communication skills to deliver results efficiently.

As a Support Enablement and Escalations Engineer on the Cortex Platform team, you will be at the crossroads of Support and Engineering, driving decisions as a thought leader within Global Customer Services. You will work with new products early in their lifecycle, provide training, resolve complex customer issues, and improve product supportability for our industry-leading Cortex products. This role requires excellent cross-functional collaboration with developers, product management, and customers. We seek top-tier candidates from support or engineering backgrounds for our small, impactful global team.
Your Impact
Enable TAC teams by assisting with ad hoc Q&A and providing structured training throughout the year.
Own critical technical issues by identifying widespread problems, creating guidelines, and communicating updates to relevant teams.
Impact new product development by defining supportability and usability requirements during design and post-release enhancement phases.
Develop and deliver technical training materials for TAC, such as white papers and presentations, on new products.
Develop internal tools for the TAC team to improve visibility and streamline troubleshooting processes.
Analyze support cases, trends, and escalations to identify and address knowledge gaps, supportability issues, and tooling needs.
Proactively identify and execute on unplanned projects that improve customer experience, reduce costs, or bolster security.

We are looking for an experienced Product Manager to lead Clinician Experience domain - responsible for building a seamless, intelligent experience that physicians genuinely love.
This role owns the end-to-end physician journey: from pre-visit planning, through in-visit ambient listening to post-visit documentation, workflow automation, and real-time assistance. Your mission is to drive high satisfaction and deep engagement by making AI Co-Pilot an indispensable part of the clinicians daily routine.
We are looking for a user-centric PM who is both visionary and hands-on - someone who deeply understands workflow design and is excited about shaping AI-powered products in real clinical environments.
Responsibilitie
Define and drive the product roadmap for Clinician Copilot experience. Lead the evolution as a true AI clinical copilot, unifying innovative capabilities into a seamless, context-aware workflow. Ensure consistency and cohesion across all physician-facing surfaces while continuously pushing the experience forward.
Own and improve KPIs, including CSAT, usage, and engagement.
Continuously identify friction points and remove barriers to adoption.
Translate physician feedback and usage signals into rapid, high-impact product improvements.
Own the core application layout and experience, define and deliver intelligent flows that adapt to physician needs across each stage of care (pre-visit → in-visit → post-visit).
Design experiences that thoughtfully integrate ambient AI, generative capabilities, and workflow automation into daily practice.
Balance innovation with clarity and trust.
Partner closely with Engineering, Medical Managers, Designers, Customer Success, AI teams, and enterprise clients.
Develop deep expertise in both customer operational workflows and end-user behavior patterns.
Align execution to maximize physician value while maintaining architectural integrity and scalability.