לוח משרות דרושים בתל אביב יפו, לחיפוש זה נמצאו 8,421 משרות

Are you a talented Data Scientist with expertise in image analysis and text reading? Are you passionate about leveraging cutting-edge technologies to drive innovation in the field of electronic component inspection? Look no further!

We are an industry-leading technology company based in Tel Aviv, we are seeking a skilled Data Scientist to join our dynamic team. As a Data Scientist specializing in image analysis and text reading, you will play a pivotal role in developing and enhancing our AI-driven solutions for quick and accurate component inspection in electronic manufacturing.

Responsibilities
Develop and implement advanced algorithms for image analysis and text reading in the context of component inspection.
Collaborate closely with cross-functional teams to enhance existing models and drive continuous improvement.
Work with large-scale datasets, applying statistical and machine learning techniques to extract meaningful insights.
Stay updated with the latest advancements in the field of image analysis and text reading and apply them to enhance our solutions.

We are looking for a VP Product to join our Product team.

In this role, you will set the product vision and own the market narrative, working across GTM, Customer Success, Analysts, and Partners to shape what we build next and why. You'll be the voice that connects market reality to product direction, and the leader who aligns the organization around it.

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.

We are looking for a Director of Product to join our Product team.

In this role, you will drive execution across key product areas, working closely with R&D to turn strategy into shipped capabilities, and with field teams to validate direction against real customer needs. You'll own delivery, not just roadmap.

We're looking for a hands-on Data & AI Product Engineer to join the Product team and help shape our next generation of AI products, AI infrastructure, and cyber data insights.

You'll be our first dedicated data and AI expert inside Product, working closely with R&D, GTM, and leadership. The role sits where cybersecurity, strong coding, data engineering, AI model development, and product thinking meet. You'll identify where AI can create real customer value, prototype AI-native capabilities, train and evaluate models, and push R&D with practical ideas grounded in product data, customer behavior, and cyber insight. In parallel, you'll build the foundation for product usage monitoring, KPI infrastructure, and ongoing alerts, giving Product, R&D, Sales, Customer Success, and leadership a trusted basis for decisions. This is a build-first role for someone who wants to code, explore, analyze, and shape the future of AI in cybersecurity.

Responsibilities:
Prototype AI-driven product concepts and turn ideas into concrete experiments, working with LLMs, agents, and ML models to support future product capabilities.
Build reusable AI and data infrastructure that future product development can stand on.
Analyze product, usage, customer, and cybersecurity data to surface patterns that improve security outcomes, adoption, and product effectiveness.
Translate complex data and cyber patterns into clear recommendations for Product, R&D, GTM, and leadership.
Own the product data foundation end to end: usage, adoption, customer behavior, KPIs, and operational metrics, and build the alerts that flag meaningful changes.
Create a trusted source of truth for product usage, adoption, engagement, and product value metrics.
Support GTM teams with usage insights, adoption analysis, and data-backed narratives, and contribute to the team's product and AI strategy.

We are looking for a proactive and detail-oriented Accounts Payable Bookkeeper to join our Finance team and be accountable for, among other things, developing and implementing accounting processes to support the establishment and operation of a new procurement function within the organization. The ideal candidate thrives in a fast-paced, high-growth environment.

This role reports directly to the Head Bookkeeper and works closely with the broader Finance team.

Responsibilities:
Manage the full vendor payment cycle, including invoice processing, approval workflows, and payment execution.
Maintain accurate vendor records and ensure timely payments in accordance with agreed payment terms.
Review and process a high volume of employee travel and expense reimbursement reports on a recurring basis, ensuring accuracy, policy compliance, and timely reimbursement.
Assist with month-end closing tasks and reconciliations, including bank accounts, fixed assets, prepaid expenses, etc.
Assist with quarterly reviews and annual external audits, including preparation of supporting schedules and documentation.
Contribute to analytical reviews by providing accurate financial data and variance explanations.
Support ad-hoc requests from the Finance team.

*Please submit your resume in English*

We're looking for an experienced, customer-obsessed Senior Director, Technical Support to lead Pentera's global Technical Support domain and scale the people, processes, and AI-driven technology behind it as we grow.

Reporting to the Chief Customer Officer, you'll lead a global team of ~20 support engineers and partner closely with Customer Success, R&D, Product, and Sales Engineering to ensure every enterprise customer gets exceptional technical guidance. A core part of the mandate is modernizing how we support customers - leveraging AI, automation, and self-service to scale quality without scaling headcount linearly. You'll bring deep technical understanding of enterprise software and cybersecurity, strong operational leadership, and a track record of building high-performing global teams.


Responsibilities:
Lead and develop our global Technical Support organization: hire, coach, and grow TLs and individual contributors, and build a culture of ownership, technical excellence, and continuous learning.
Own global support operations and strategy end to end, delivering fast, consistent, high-quality outcomes across regions and time zones, backed by scalable processes and organizational design that keep pace with our growth.
Lead the AI transformation of the support function: deploy AI-driven workflows, automation, and self-service to speed up resolution, deflect volume, and scale quality without scaling headcount linearly.
Own the support KPIs: SLA compliance, CSAT, response and resolution times, backlog health, and escalation management.
Be the bridge between customers, Support, Product, and R&D: surface critical escalations, make the case for the fixes that matter, and influence the product roadmap.
Serve as the executive escalation point for complex customer issues, coordinating cross-functional resolution when required.
Partner with Customer Success, Professional Services, Sales Engineering, and Sales to deliver a seamless end-to-end customer experience.