The role

Nebius is seeking a talented Senior Insurance Manager to join our Risk Management team. The role will be responsible for the development, implementation, and ongoing management of Nebius’ global insurance strategy. The role ensures that all company assets, operations, and contractual exposures are adequately protected through effective and efficient insurance programs.

This position plays a critical role in supporting the company’s rapid international expansion, particularly in relation to large-scale AI infrastructure and data center operations.

Your responsibilities will include: 

• Lead the development, placement, and ongoing management of all corporate insurance policies.
• Identify, and assess risks across Nebius’ global assets and operations, with a focus on data center infrastructure
• Ensure that insurance coverage is comprehensive, cost-effective, and aligned with the company’s evolving risk exposure
• Act as the primary point of contact for insurance brokers, insurers, and external advisors
• Map and manage insurance requirements across all jurisdictions in which Nebius operates
• Review and ensure compliance with insurance-related provisions in customer and key vendor contracts
• Oversee and manage insurance claims processes, ensuring timely and effective resolution
• Provide expert guidance and act as the internal focal point for all insurance-related matters across departments
• Continuously evaluate and optimize the company’s insurance strategy in line with business expansion and industry developments

We expect you to have: 

• At least 7 year of experience as a senior/lead insurance within a multinational organization.
• Strong expertise in structuring and managing complex global insurance programs
• Experience in infrastructure, energy, technology, or data center environments is highly preferred
• Deep understanding of international insurance markets, regulatory frameworks, and cross-border risk considerations.
• Proven experience working with brokers, insurers, and external advisors at a strategic level.
• Strong knowledge of contractual risk transfer and insurance requirements
• Excellent stakeholder management, negotiation, and communication skills
• Ability to operate effectively in a dynamic, fast-growing, and international environment

It will be an added bonus if you have: 

• Demonstrates strong ownership and accountability for outcomes.
• Exercises sound judgment in complex and uncertain situations.
• Communicates clearly and translates complexity into business-relevant insights.
• Maintains attention to detail while understanding the broader business context.
• Acts proactively to identify and address risks early.
• Builds collaborative, trust-based relationships in a global environment.

As an Engineering Manager- Windows Endpoint you will take end-to-end ownership of a feature from ideation to production. Candidates who are able to explore new directions, design solutions, recommend the right approaches, and develop innovative ideas from scratch to drive complex products forward. 

What Will You Do?

Primary responsibilities include: 

• You will have the chance to manage a team of developers working on the most complicated real world problems
• You will continuously enrich your knowledge and experience with Windows OS internals and EPP\EDR eco-system
• You will be a core part of designing and developing the capabilities that will improve the product’s stability and make the user experience smoother

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience as a Team Lead or Engineering Manager in the areas of C++, OS internals (security, storage, etc.)
• Excellent interpersonal skills and great communication skills
• Data-driven decision-making and prioritizing approaches
• Proven experience with team building and advanced software methodologies
• Ability to lead a feature from planning to development and testing
• Ability to lead a global team in different time zones
• Ability to manage external interfaces with other teams
• Previous experience working on a production-grade product with wide-scale deployment
• Previous experience with security-oriented development – Advantage
• Windows Kernel development experience- Advantage

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Back-End Engineer, you will be tasked with building backend infrastructure for a new AISPM product, focused on monitoring AI assets, assessing risks, and delivering actionable insights. You will work in a fast-paced, innovative environment that requires agility, adaptability, and continuous iteration. Your work will also include enforcing security policies and ensuring safe, compliant AI deployment while contributing to the future of cybersecurity.

What Will You Do?

Primary responsibilities include:

• Design, develop, and maintain scalable server-side applications and APIs.
• Implement and optimize database schemas, queries, and data storage solutions.
• Collaborate with frontend developers to integrate user-facing elements with server-side logic.
• Participate in code reviews and contribute to architectural decisions.
• Troubleshoot, debug, and upgrade existing systems.
• Implement security and data protection measures.
• Work with cloud services (e.g. AWS, Azure, or GCP) to deploy and manage backend services.
• Contribute to the development of microservices architecture.
• Stay updated with emerging backend technologies and industry best practices.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 5+ years of Backend development experience in Node.js and Typescript
• Database Management
• API Development and Integration with experience designing and building RESTful APIs along with familiarity with GraphQL is a plus
• Experience in designing and implementing microservices
• Scalability and Performance Optimization - Understanding of caching strategies and message queues and experience with large-scale, distributed architectures
• Experience implementing authentication, authorization, and data protection mechanisms
• Excellent problem-solving skills and attention to detail
• Proactive attitude and ability to thrive in a dynamic startup environment
• Communication and collaboration skills

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Engineering Manager - Windows Endpoint - Windows Endpoint, you will take end-to-end ownership of features from ideation to production, managing multiple teams within the Windows Agent Ecosystem.
We require a leader with a proven track record of success in building and developing high-performing managers and teams, managing operational risks, and driving architectural excellence while fostering a world-class engineering culture.

What Will You Do?

Primary responsibilities include:

• You will have the chance to manage an organization of 15+ engineers and team leads across multiple teams working on the Windows Agent, solving the most complicated real-world problems.
• You will continuously enrich your knowledge and experience with Windows OS internals and the EPP/EDR ecosystem.
• You will be a core part of designing and developing the capabilities that will improve the product's stability and make the user experience smoother.
• You will be directly accountable for production stability and operational integrity while mentoring a global managerial bench.
• Your mandate is to ensure reliable, high-quality delivery against strategic goals, making decisive trade-offs that balance innovation, security, and long-term organizational health.

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• Proven experience as a Group Lead or Senior Engineering Manager in the areas of C++ and Windows OS internals.
• Proven success in coaching team leads and building a succession pipeline.
• Deep knowledge of performance management and succession planning.
• Data-driven decision-making and prioritizing approaches.
• Proven experience with team building and advanced software methodologies.
• Ability to lead a feature from planning to development and testing.
• Excellent interpersonal skills and great communication skills.
• Expertise in managing globally distributed teams across multiple time zones.
• Previous experience with security-oriented development - Advantage.
• Windows Kernel development experience - Advantage.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Platform Engineer, you will be tasked with leading the design and development of a unified, scalable Developer Platform, building secure APIs and infrastructure using modern DevEx and CI/CD practices, and collaborating across teams to drive innovation in a global, high-scale environment.

What will you do?

Primary responsibilities include: 

• Help create the Future: Dive deep into our current developer platform, identify pain points, and design innovative solutions to address them in an iterative way toward a shared vision. Participate in design and development of a new architecture that supports scalability, maintainability, and operational excellence.
• Modernize the Stack: Collaborate with architects and teams to evaluate and implement the right tools, frameworks, and methodologies for building a robust, user-centric developer platform.
• Hands-on Development: Write high-quality, production-ready code.
• Mentor and Lead: Guide and mentor other engineers, contribute to their professional growth, share best practices and architectural insights, and foster a culture of engineering excellence. Your involvement increases the overall quality, whether you wrote it directly, reviewed it, or had a hand in designing it.
• Collaborate Across Teams and Orgs: Partner with engineering, architects, product, design, quality, DevOps / Infra teams, and leadership to align on objectives, design, timelines, and execution strategies.

Our stack: Go, Python; Kubernetes, Docker, AWS, GCP, FedRAMP; GitHub Actions, ArgoCD; GitHub Enterprise; depending on the requirements of the service for communication, we use Kafka, REST API, GraphQL, gRPC, etc.; Postgres, MongoDB, Redis, ClickHouse; Prometheus/Thanos, Grafana

What Skills and Knowledge Will You Bring?

Ideal candidates will have: 

• Expertise in Developer Platform / DevEx fundamentals and infrastructure platform services design
• Proficiency in Golang, experience with Python is a plus
• Deep proficiency in CI/CD pipelines and tooling (e.g., GitHub Actions, ArgoCD, Jenkins) in large-scale environments
• Extensive experience with cloud platforms (AWS and/or GCP) and Kubernetes
• Excellent problem-solving skills
• Strong ownership and accountability, with proven experience driving large, impactful projects
• Strong communication skills and ability to articulate technical concepts and influence engineering direction across teams, departments, and stakeholders in multiple time zones

Why Us? 

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Senior Windows Kernel Engineer - Windows Endpoint, you will be tasked with working on our Windows EDR product and handle a wide range of tasks. You will have the chance to design, develop primarily in modern C++ (23), test, and debug the most complicated real-world problems.

What Will You Do?

Primary responsibilities include:

Our team designs and executes significant new features, as well as rewrites and reimplements the existing ones from scratch. You will also face extraordinary stability & optimization challenges given the scale of our agents. Your work will influence the security of tens of millions of Windows devices that we protect at enterprise & government customers across the globe (incl. 5 of Fortune 10 and hundreds of Global 2000).

What Skills and Knowledge Will You Bring?

Ideal candidates will have:

• 3-5 years of Experience in C/C++.
• Computer science or Software engineering graduate from one of the leading universities or equivalent experience.
• In-depth knowledge of operating systems and concepts.
• Strong debugging and troubleshooting skills.
• Solid system design and architecture skills.
• Great communication and teamwork skills.
• Previous experience with security-oriented development or related fields – an advantage.

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

As a Staff Escalation Manager- Prompt Security, you will be tasked with leading and coordinating complex customer escalations, focusing on resolving complex issues and ensuring our customers receive timely, high-quality technical support as we scale our Generative AI security platform. We are seeking a highly collaborative, approachable, and customer-focused individual who will serve as the primary liaison between Technical Support, Product Management, Engineering, and Customer-facing teams, ensuring that high-impact issues are triaged quickly, prioritized correctly, and driven to resolution with clear and consistent communication. 

What will you do?

The bulk of your time will be spent deflecting Jira tickets by providing solutions, KBs, and 1-on-1 training directly to the Support team. You will validate priority, review, and manage Jira tickets before engaging Development.

You will also perform trend analysis to identify top product defects and collaborate with the Documentation, Learning and Development (L&D), and Product Management teams to create and update knowledge. Code review may also be applicable, and suggestions for code improvements shared with engineering and Product Management.

For customer escalations, you will help engage the relevant stakeholders in internal and customer-facing conversations, and may lead those conversations from a technical perspective.

Key Responsibilities:

• Develop key contacts and relationships with assigned product PM/Dev leadership.
• Drive product supportability with PM/Development.
• Share support knowledge through available channels (KB, training, videos etc.).
• Trend analysis: Identify and track top impacting issues or product defects.
• Manage communication and response to Backline Support (Jira).
• Act as SME and be the focal point for assigned products.
• Research the code to expedite the investigation.
• Resolve Defects when possible.
• Quality Assessment for Support Jira tickets.
• Prioritize Jiras based on customer and support qualifications.
• Work to eliminate duplication.
• Deflect Jira tickets (Provide solution whenever possible).
• Validate severity.
• Maintain clarity and quality.
• Prioritize and maintain escalations to Dev.
• Create/maintain hot escalation board and review with relevant stakeholders.
• Create/Maintain support Defects Kanban.
• Communication - oversee response/information requests from Dev.

What experience or knowledge should you bring?

Ideal candidates will have:

• 5+ years of experience in technical support for SaaS or security products, preferably in enterprise environments
• Authoritative and assertive approach
• Deep technical knowledge (Products, OS, Cloud, SIEM, Enterprise Security)
• Coding and scripting skills
• Strong troubleshooting methodology and ability to diagnose complex technical issues systematically
• Self-starter mentality with experience building support processes from the ground up
• Excellent communication is required to clarify information between Support and Development and manage stakeholder expectations.

Domain expertise in:
        - Enterprise SaaS platforms
        - Cloud infrastructure
        - Information security principles and cybersecurity products
          - Container technologies and Kubernetes platforms
        -  AI/ML concepts (preferred but willing to train)
        - Support methodologies and best practices

One of these is nice to have:
        - Major cloud platforms (AWS/GCP/Azure)
        - Container technologies and Kubernetes (hands-on experience required)
        - API testing and troubleshooting
        - Networking fundamentals
        - Support ticketing systems (Zendesk, potential SFDC experience a plus)

Why us?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

Our Purpose
At SentinelOne, we are driven by a clear purpose: to give the advantage to those who secure our future. As AI reshapes how organizations build, operate, and innovate, the responsibility to protect them becomes more critical than ever. When you join SentinelOne, your work helps protect global enterprises, critical infrastructure, and the technologies shaping tomorrow. If you are motivated by meaningful challenges and want your impact to be real, measurable, and global, you will find purpose here.

About Us
SentinelOne is a company at the intersection of AI and security, pioneering a new operating model for cybersecurity. Our AI-native platform unifies protection across endpoint, cloud, identity, data, and AI systems to deliver autonomous detection and response with clarity and speed. By combining real-time analytics, intelligent automation, and a unified data foundation, we reduce noise, simplify complexity, and empower security teams to focus on what truly matters.

Our teams are builders, problem-solvers, and innovators committed to shaping the future of security. If you are excited to solve hard problems alongside talented, mission-driven people, we invite you to help us build a safer future for humanity.

What Are We Looking For?
We’re looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.

As a Staff Product Manager, Value Realization, you will be tasked with being accountable for accelerating customer adoption and reducing time-to-value (TTV) across our product portfolio—driving measurable impact on Net Revenue Retention (NRR), expansion, and long-term customer outcomes. This leader partners closely with Product Management, UX, Documentation, Customer Success, Sales, RevOps, and Data/Analytics to institutionalize the strategy, processes, and instrumentation that ensure customers realize value quickly and consistently. This is a highly cross-functional leadership role, blending product strategy, customer outcomes, and operational rigor to create repeatable “value realization” motions at scale.

What Will You Do?

Primary responsibilities include:

Adoption strategy tied to Product OKRs

• Partner with Product Management and Customer Success to prioritize and build adoption plans directly aligned to PM OKRs for key initiatives and product areas (e.g., flagship features/modules).
• Define what “adoption” means per product area (activation milestones, key events, success criteria) and ensure teams execute against it.
• Roll out adoption campaigns together with GTM partners (e.g., increasing usage, attaching add-ons) 

Time-to-value and value realization outcomes

• Establish and drive improvements to TTV through product changes, enablement, onboarding workflows, UX/docs improvements, and operational playbooks.
• Identify bottlenecks in onboarding/implementation/configuration and prioritize fixes with the right stakeholders.
• Partner with Customer Success and Product Management to exercise our NPI process and ensure capability uptake.

NRR and expansion levers

• Translate NRR goals into concrete adoption/expansion priorities and initiatives at the product and feature level.
• Partner with Pricing & Packaging leaders to identify and drive actions that improve uptake of add-ons and expansion paths.
• Participate in NRR pilots to understand areas for improvement impacting our products.

Cross-functional value realization operating system

• Build the artifacts and processes that consistently accelerate adoption (adoption playbooks, enablement kits, training, readiness checklists, release frameworks).
• Institute standard internal reporting and operational rhythms (dashboards, weekly reviews, exec readouts).
• Operationalize a company-wide product value realization framework: adoption → value → expansion.
• Build and maintain dashboards that connect adoption signals to retention and revenue outcomes.
• Partner with UX and Docs to prioritize customer experience and enablement improvements that reduce friction and accelerate value.
• Collaborate with Product Analytics/Data to improve instrumentation, metering, and measurement quality.
• Design in-product nudges/notifications and guided workflows to drive feature adoption.
• Lead cross-functional programs and working groups; create clarity and accountability across stakeholders.
• Influence roadmap and prioritization decisions through adoption insights and TTV bottleneck analysis.
• Foster relationships with key customers and stakeholders at a strategic level to gain insights into their unique challenges and business goals. Leverage these insights to craft compelling business value cases for our delta offerings.

What Skills and Knowledge Will You Bring?
Ideal candidates will have:

• Proven experience in product management, with a focus on cybersecurity
• Experience in Endpoint Security, SIEM, Data lakes, Cloud Security, AI Security or related areas
• Experience in measuring and driving product growth and adoption
• Experience in working cross-functionally and drive high impact initiatives 
• Background in working for or with multinational organizations
• Exceptional interpersonal and communication skills
• Ability to work in a fast-paced, high-visibility environment
• Ability to work remotely with US time zones to ensure optimal team communication and responsiveness
• Proven track record of successful product launches and lifecycle management
• Strong problem-solving skills, data-driven decision making and ability to think strategically

Why SentinelOne?

AI is redefining how the world operates and rewriting the rules of security in real time, and SentinelOne was built for this moment. From day one, we architected an AI-native platform designed to operate at machine speed, not as an add-on to legacy systems but as the foundation itself. If you want to build where innovation and impact move together, this is that place.

We invest in our Sentinels with comprehensive, competitive benefits designed to support you and your family:

• Study Funds- SentinelOne contributes 7.5% over your base salary (no tax ceiling is applied), and employees contribute 2.5% of their base salary
• Pension fund- SentinelOne contributes to your pension fund according to local law. Pension contribution may vary based on the selected plan.
•  RSUs- 4 years vesting with 1-year cliff and then quarterly.
• Annual bonus (depending on the performance of the company) paid out in 2 cycles
• Employee Stock Purchase Plan- The plan enables employees to purchase SentinelOne stocks at discounted prices vs. market value. (the plan is subject to local taxation)
• Company time off and holidays
• Private medical insurance
• Meal allowance
• Home office allowance
• Hybrid work model- The possibility of working both from the office and working from home
• Parental Leave - Embracing a new child into the family is a unique moment for everyone! In support of that, we offer 20 weeks of fully paid leave for the birth parent and 12 weeks of paid leave for the non-birth parent
• Employee Assistance Program- Psychological sessions with certified therapists to help you overcome stress, personal and professional challenges
• Free Parking in our office building 
• Music Room fully equipped room
• Wellness- workout sessions and a wellness app

About Us

At Unframe, we build AI-powered products that address real-world challenges.Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.

What You'll Do

As a Team Lead at Unframe, you’ll play a key role in building and scaling our AI-powered products while leading and growing a team of engineers. You’ll be responsible not only for technical execution, but also for hiring, mentoring, and shaping a high-performing team. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.
This is a hands-on leadership role - you’ll guide architecture and execution while actively building your team and ensuring technical excellence.

Responsibilities

• Lead, mentor, and grow a team of engineers, fostering a collaborative and high-performance culture
• Take an active role in hiring and scaling the team, including sourcing, interviewing, and onboarding
• Drive the design and implementation of core product features across backend and frontend
• Own end-to-end delivery of features, from ideation to production
• Collaborate cross-functionally with Product, AI, and Solutions teams
• Define and enforce best practices for code quality, testing, CI/CD, and system architecture

Requirements

• 6+ years of experience in software engineering, including 2+ years in a technical leadership or team lead role
• Proven experience leading and growing engineering teams
• Experience working on complex, production-grade systems
• Strong proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
• Proven ability to design scalable systems and deliver high-quality products
• Strong communication and collaboration skills
  
  

Nice to Have

• Experience with AI/ML or LLM-based applications
• Experience working with B2B or enterprise customers
• Experience in fast-paced startup environments
• Experience building and scaling teams in early-stage companies
• Background in building end-to-end or customer-facing products

Realize your potential by joining the leading performance-driven advertising company!  

As a Team Leader on the advertiser side ML group in our TLV Office, you’ll play a vital role in shaping how user intent is modeled at scale and how rich behavioral data is transformed into smarter recommendations. You will lead the design and evolution of large-scale Deep Learning models that directly improve advertiser performance and marketplace efficiency. By guiding team members and driving technical direction, you’ll turn modeling gaps into scalable production solutions. Your work will influence how millions of users discover content and how advertisers achieve measurable impact.

To thrive in this role, you'll need:

• Advanced academic training (MSc/PhD) with strong grounding in machine learning, optimization, and statistical modeling
• Strong Machine Learning Modelling Experience (6+ years)
• Production-Grade ML Engineering Experience
• Managerial or Technical Leadership Experience
• Experience Driving Measurable Business Impact Through Modeling
• Experience leveraging agent-based coding tools to accelerate development, experimentation, and code quality in ML systems

Bonus points if you have:

Experience with Large-Scale Recommendation Systems

How you’ll make an impact:

• Lead the design and evolution of Taboola’s models
• Own end-to-end ML delivery in production
• Lead and develop ML engineers
• Translate marketplace objectives into modeling strategy
• Play a part of Taboola’s tech organization’s growth in the agentic development era

Why Taboola?

If you ask Taboolars what they love about working here, they’ll tell you that they’ve been empowered to realize their full potential while growing and learning from and with smart and talented people. They’ll also share more about:

• Adam Singolda, Taboola Founder and CEO says; “You can copy anything from another business but you can’t copy a company’s culture.
• Well-being: Enjoy comprehensive benefits (health, etc.), a fully stocked kitchen, and location-specific perks (gym partnerships, parking) 
• Flexibility: We offer a hybrid work schedule with 3 days in-office with an option to come in more often if desired.
• Work with some of the biggest names: Our publisher partners include Yahoo, Conde Nast, Fox Sports, NBCU, ESPN, CBS, and E! Online. Our advertiser clients include Wells Fargo, Honda, Pinterest, Expedia and Honda.

Ready to realize your potential?

Taboola is an equal opportunity employer and we value diversity in all forms. We are committed to creating an inclusive environment for all employees and believe such an environment is critical for success. Employment is decided on the basis of qualifications, merit, and business need.

Learn more about #TaboolaLife on LinkedIn, Facebook, Instagram, X, YouTube, & the Taboola Life Blog.

About Taboola

Taboola empowers businesses to grow through performance advertising technology that goes beyond search and social and delivers measurable outcomes at scale.

Taboola works with thousands of businesses who advertise directly on Realize, Taboola’s powerful ad platform, reaching approximately 600M daily active users across some of the best publishers in the world. Publishers like NBC News, Yahoo, and OEMs such as Samsung, Xiaomi and others use Taboola’s technology to grow audience and revenue, enabling Realize to offer unique data, specialized algorithms, and unmatched scale.

#LI-HH1

#LI-Hybrid

About the role:

As a Fraud Analyst at Forter, you will be responsible for one of the most critical assets in the company: maintaining the accuracy, reliability, and performance of what is widely considered the leading e-commerce fraud decisioning system in the industry.

You will be expected to think analytically and creatively, constantly improving how we identify fraud and protect legitimate customers. Your work will focus on solving real and evolving business challenges faced by some of the world’s largest and most advanced online retailers. In this role, you will also have direct exposure to key customers, providing analytical insights and helping tailor solutions to their specific needs.

This position has strong technical and analytical depth, but prior coding experience is not required. We believe great analysts can learn the technical tools they need as part of the role through structured training and hands-on work. We hire across multiple levels and adjust the scope and level of ownership based on what we learn during the interview process.

You will join a dynamic, high bar department with a strong culture of excellence, curiosity, and ownership. We work in an informal and collaborative environment where people learn fast and ideas matter. The role offers meaningful growth opportunities, with clear paths toward both senior individual contributor and managerial roles, allowing you to shape your career based on your strengths.

Your work will directly impact Forter’s product, protect millions of customers, and help shape the future of trust in digital commerce.

What you'll be doing:

• Design, implement, and continuously improve decisioning logic running in live production systems
• Research complex fraud patterns, adversarial behaviors, and emerging threats
• Analyze large scale datasets to extract actionable insights and improve decision accuracy
• Develop and automate analytical processes to increase efficiency and scalability
• Work closely with Data Science, Engineering, and other cross functional teams to drive platform improvements

What you'll need:

• Psychometric score above 700 or equivalent (e.g. GMAT) – we value this as an indicator of the high-speed analytical reasoning and structured thinking required for this role
• Strong analytical and logical reasoning skills, with the ability to break down complex problems
• A record of high achievement – academically, professionally, or in other personal pursuits
• Natural curiosity and the ability to understand systemic behaviors and adversarial tactics
• Proactive and results driven mindset, with the ability to work independently within a collaborative team
• Strong technical orientation. Experience with Python, SQL, or R is an advantage but not required. You should be comfortable learning new tools and technologies

Bonus points for:

• Experience with SQL or Python
• Background in risk analysis or intelligence work
• Experience in data analysis
• Familiarity with machine learning concepts

About us:

Digital commerce is built on trust. At every point along the eCommerce journey, businesses must make a critical decision: Can I trust this customer? Answering this simple question accurately and instantly is powerful—it can accelerate revenue growth and strengthen a company’s connection with its customers. How do we do it? Forter was founded on the insight that it's not about what is being purchased, nor where— but who is behind the interaction.

The Forter Decision Engine finds patterns across more than one billion identities in our dataset. We isolate fraudsters and protect customers—ensuring everyone gets the experience they deserve.  Given that trust is central to how we operate, Forter is very much driven by a defined set of values. We attract remarkable talent and have retention and engagement levels that are well above benchmarks. We’re meticulous about strengthening our culture as we grow and ensuring this is an environment where people can have outsized impact. 

Trust is backed by data –  Forter is a recipient of over 10 workplace and innovation awards, including: 

• Great Place to Work Certification (2021, 2022, 2023, 2024, 2025)
• Fortune’s Best Workplaces in NYC (2022, 2023, 2024 and 2025)
• Forbes Cloud 100 (2021, 2022, 2023, 2024 and 2025)
• Anti-Fraud Solution of the Year at the Payments Awards (2024)

Life as a Forterian:

We are a team of over 600 Forterians spread across 3 different continents. Since 2013, we've raised $525 million from investors such as Tiger Global, Bessemer, Sequoia Capital, March Capital and Salesforce Ventures. We're on a mission to bring trust to global digital commerce so that companies like Adobe, ASOS, eBay, Instacart, Priceline and Nordstromv can block fraud, drive revenue and improve customer experience.

At Forter, we believe unique people create unique ideas, and valuable experience comes in many forms. So, even if your background doesn't match everything we have listed in the job description, we still encourage you to apply and tell us why your skills and values could be an asset to us. By welcoming different perspectives, we grow together as humans and as a company.

Forter is an Equal Employment Opportunity employer that will consider all qualified applicants, regardless of race, color, religion, gender, sexual orientation, marital status, gender identity or expression, national origin, genetics, age, disability status, protected veteran status, or any other characteristic protected by applicable law.

If you need assistance or an accommodation due to a disability, please email us at interviewaccommodation@forter.com. This information will be treated as confidential and used only for the purpose of determining an appropriate accommodation for the interview process.

#LI-Onsite

The Identity Security Posture Management (ISPM) Team

At ISPM (previously known as Spera), we are revolutionizing the field of identity security, providing comprehensive solutions to address the challenges faced by modern organizations. Our platform provides security leaders with end-to-end contextual visibility of their identity landscape, reducing risks, enhancing operational efficiency, and ensuring compliance. 

With an exceptional team dedicated to pushing boundaries and achieving remarkable results, we are seeking a talented engineer to join us in shaping the future of identity security.

This role requires working from the office four times a week.

What you’ll be doing

As a Staff Software Engineer at ISPM, you will play a critical role in building our platform. Your expertise and contributions will have a direct impact on the success and effectiveness of our product. Specifically, your responsibilities will include:

• Lead, design, architect and build high-quality scalable software by introducing best practices around software engineering architecture and processes
• Raise the bar on engineering excellence by improving standard methodologies, producing best-in-class code, documentation, testing, and monitoring
• Collaborate with product and R&D engineers to translate product requirements into technical solutions.
• Identifying and resolving technical issues and performance bottlenecks.
• Staying up to date with the latest industry trends and technologies to continuously improve our products.
• Be a mentor for colleagues and help promote knowledge-sharing

What you’ll bring to the role

• 8+ years of experience as a software engineer, preferably in a fast-paced environment.
• 5+ years of programming experience with Python, specifically focused on backend development.
• A proven track record of successfully building and delivering large-scale systems.
• Solid understanding of software engineering principles, design patterns, and best practices.
• Excellent problem-solving skills and a detail-oriented mindset.
• Strong communication and collaboration abilities to work effectively within a team.

Extra credit if you have experience in any of the following

• Experience with Snowflake or other data warehousing platforms.
• Experience with Amazon Web Services and modern cloud stack.

The Israeli Solutions Engineering team are involved in all stages of the customer’s development lifecycle and are experienced using presentations, email, phone and social media to connect with customers. We are looking for great teammates who are able to work in close partnership with the sales team to progress opportunities toward successful conclusion.

We believe in Okta’s Solutions Engineers empathise with existing and prospective customers to quickly discern the true technical needs in the context of their business, by asking detailed and clarifying questions and presenting solutions that target those needs. You have the rare combination of technical savviness and business insight and you’re looking for a career where you can utilise both. As a Solutions Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using the Auth0 Identity Platform.

What you’ll be doing:

• Comprehensive discovery. Understanding the requirements of customers and prospects in the context of their desired business outcomes.
• Deal progression. Working in close partnership with the sales team to progress opportunities.
• Manage technical sales progression from discovery to technical win.
• Building sales presentations, product demonstrations and educating customers (everyone from developers to product managers to C-level executives) on the best ways to cloud security technology.
• Have a hands-on approach to solution validation, such as building and delivering. custom demonstrations, supporting customer-led PoCs etc.
• Empathising with customers and quickly discern their true technical needs by asking detailed and clarifying questions and presenting solutions that target those needs.
• Using your technical savviness and business insights. As a Sales Engineer at Okta, you will hone each of these skills by advising a diverse set of customers on what is possible using Auth0.
• Maintain a broad and deep technical understanding of the Auth0 product line and the underlying technologies and protocols.
• Proactive engagement in local and regional sales and marketing events

What you’ll bring to the role:

• Experience working in a Pre-Sales role as Sales Engineer or Solutions Engineer.
• An ability to quickly articulate complex ideas around a technical topic, ideally on the fly at a whiteboard.
• Experience in a customer-facing role such as consulting, support, teaching, or pre-sales.
• Experience with at least one standard identity protocol (e.g. OIDC, OAuth2, SAML, LDAP).
• Strong development background with proficiency in at least one backend stack (e.g., Java, C#, Node.js, Python, PHP, Ruby) and a popular frontend stack (e.g., React, Angular, Vue).
• Experience working with REST APIs and SDKs.
• An understanding of core security concerns within a typical application (password hashing, SSL/TLS, encryption at rest, XSS, XSRF).
• Excellent communication skills and an ability to articulate business value.
• An ability to disperse knowledge to a highly skilled and experienced audience.
• A natural at building relationships, listening, and managing time well.
• Enjoy traveling and meeting customers.
• Bonus points if you have experience in any of the following!
• Experience with Identity & Access Management, Single Sign-on and API-based solutions
• An understanding of Agentic AI and the role that Identity plays in enforcing continuous oversight
• Experience in mobile (iOS, Android) development
• Experience working with HTTP, HTML, and REST services. This includes using the dev tools in a browser to explain HTTP traffic and an HTTP client (like curl or Postman) to interact with an HTTP service.

The role is based in Tel Aviv and the expectation will be that you will spend 2-3 days a week either meeting with prospective customers, existing customers, or collaborating with the team in the Office.

#LI-Hybrid

#LI-JB2

P14647_3354411

So, what’s the role all about?

As AI Quality Architect, you are the person who makes quality native to the agentic SDLC. You design the systems, standards, and intelligence layers that ensure every stage of an AI-accelerated pipeline — from requirement ingestion to autonomous deployment — is observable, trustworthy, and continuously improving. You don't retrofit testing onto AI workflows; you architect quality into them from the ground up.

How will you make an impact?  

Agentic Quality Architecture

• Design the end-to-end quality architecture for agentic SDLC pipelines — spanning requirement analysis, code generation, test creation, execution, triage, and release gates
• Define how quality agents are orchestrated: which decisions they own autonomously, which require human-in-the-loop checkpoints, and how confidence thresholds govern both
• Architect multi-agent quality workflows: requirement validation agents, test generation agents, failure triage agents, and regression analysis agents working in coordinated pipelines
• Establish trust and verification models for agent-produced artifacts — test code, assertions, coverage reports, and defect analyses must all be auditable and traceable
• Own the architectural patterns for quality feedback loops between agents: how a deployment agent learns from a triage agent's findings, and how that signal improves future generation

AI-Native Test Engineering Platform

• Design and own the LLM-powered test generation platform — from natural language requirement ingestion to executable, maintainable test output
• Architect the evaluation harness that continuously measures test generation quality: coverage delta, false-positive rates, assertion accuracy, and maintenance burden over time
• Build the self-healing test infrastructure layer — agents that detect broken selectors, drifted APIs, or changed behaviors and propose or apply fixes autonomously
• Define the prompt engineering standards, context injection patterns, and RAG architectures that ground test generation agents in real codebase context
• Architect test artifact governance: versioning, ownership attribution (human vs. agent), rollback capability, and confidence scoring for every generated artifact

Quality Gates in Autonomous Pipelines

• Design intelligent, adaptive quality gates that operate at the speed of agentic CI/CD — gates that reason about risk, not just pass/fail thresholds
• Build risk-scoring models that dynamically adjust gate strictness based on change scope, code origin (human vs. AI-generated), historical failure patterns, and deployment context
• Architect the observability layer for agentic pipelines: what signals indicate a pipeline agent is making poor quality decisions, and how are those signals surfaced in real time
• Define the integration patterns between quality gates and orchestration platforms (LangChain, LlamaIndex, custom agent frameworks) used across the engineering org
• Establish rollback and circuit-breaker patterns for autonomous deployments triggered by quality signal degradation

AI Model & Agent Validation

• Build behavioral testing frameworks for validating AI agents and LLM-powered features in production — testing non-deterministic outputs with statistical rigor
• Design evaluation benchmarks for internal AI tooling: measuring agent task completion accuracy, hallucination rates, context retention, and decision quality over time
• Architect drift detection systems that identify when agent behavior changes between model versions, prompt updates, or context window shifts
• Define adversarial and edge-case testing methodologies for AI features: prompt injection resistance, boundary condition handling, and graceful degradation under distribution shift
• Partner with ML platform and data science teams to establish quality acceptance criteria for every model and agent promoted to production

Have you got what it takes?

• 12+ years in software engineering with strong depth across both development and quality engineering
• 4+ years as a hands-on principal architect or distinguished engineer with cross-org technical scope
• Demonstrated experience designing quality infrastructure used at scale — 50+ engineers, high-velocity pipelines, enterprise SLAs
• Direct production experience building or operating systems that incorporate LLMs or AI agents — not evaluations, but shipped systems
• Background in large-scale CI/CD architecture and the performance engineering domain
• Enterprise SaaS or platform engineering background; familiarity with regulated, high-uptime environments strongly preferred

Agentic AI & LLM Proficiency

• Deep, hands-on understanding of agentic AI patterns: tool use, multi-agent orchestration, planning loops, memory architectures, and human-in-the-loop design
• Expert-level prompt engineering including chain-of-thought, few-shot, RAG, and structured output techniques applied to code and test generation
• Experience designing evaluation harnesses for non-deterministic AI systems — statistical confidence, behavioral consistency, and regression detection
• Familiarity with agent frameworks (LangChain, LlamaIndex, AutoGen, CrewAI, or equivalents) and their tradeoffs in production quality pipelines

Technical Depth

• Expert in Python and TypeScript; proficient in at least one compiled language (Java, Go, C#)

• Strong CI/CD architecture skills: Jenkins, GitHub Actions, pipeline-as-code, artifact management

Leadership & Influence

• Proven ability to drive technical consensus and architectural adoption across multiple teams without direct authority
• Exceptional written communication — your ADRs, RFCs, and design docs set the standard others follow
• Effective technical mentor to senior and staff engineers; you expand the thinking of those around you
• Comfortable and credible presenting to VP and C-level stakeholders; you make complex architecture legible to executives

What’s in it for you?

Join an ever-growing, market disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NICE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr!

Enjoy NiCE-FLEX!

At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere.

Requisition ID: 10833
Reporting into: Senior Director, Engineering, CX
Role Type: Individual Contributor

#LI-Hybrid

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028. 
 
This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform, and is on a fast track to becoming the worldwide market leader – don’t miss it! 

We’re looking for a hands-on Agentic AI Engineer to build practical, high-impact AI solutions that transform how our teams operate. 

This is not a research role. You’ll design and ship real AI systems that improve workflows across Sales, Marketing, HR, and Operations - building custom solutions where off-the-shelf tools fall short. 

If you enjoy turning messy business problems into production-ready AI systems using LLMs,SLMs, agents, and smart data pipelines - this role is for you. 

Responsibilities: 

• Partner directly with business teams to identify automation and optimization opportunities 
• Design and implement agent-based AI workflows to automate internal processes end-to-end 

• Design and build LLM-powered tools (agents, workflows, copilots) using frameworks like LangGraph / LangChain 

• Develop RAG pipelines, integrate multiple data sources, and build intelligent automation flows 

• Deep-dive into company data - validate quality, uncover gaps, and ensure AI solutions are built on solid foundations 

• Take solutions from idea → prototype → production 

• Governance, Reliability & Security 

• Ensure AI workflows comply with security, privacy, and compliance requirements 

• Implement guardrails, approvals, logging, and human-in-the-loop mechanisms where needed 

• Monitor AI performance, errors, hallucinations, and drift 

• Collaboration & Enablement: 

• Partner with business owners to identify automation opportunities 

• Translate business requirements into AI-driven solutions 

• Document AI flows, decision logic, and operational runbooks 

• Educate internal teams on AI capabilities and limitations 

Requirements: 

• 3 years of hands-on software development experience, including writing, maintaining, and delivering production-quality code 
• 2+ years of GenAI development experience, with strong AI/ML focus - MUST 
• Strong Python skills and production mindset - MUST 
• Hands-on and deep understanding with LLMs, SLMs, prompt engineering, context engineering and agent-based systems 
• Experience with LangGraph, crewAI, Strands or similar orchestration frameworks 
• Experience in enterprise grade agentic solutions and bringing Agents into production 
• Experience in AWS Agent Core - Advantage 
• Solid understanding of ML workflows and MLOps principles 
• Strong analytical skills and ability to work directly with non-technical stakeholders 
• Builder mindset: proactive, independent, and impact-driven 
• Experience with Agentic AI driven applications like n8n, UiPath, Make –Advantage  

We are seeking a Senior Backend Engineer to join our team and implement advanced AI solutions in our travel and expense management products. The ideal candidate will have strong backend engineering expertise and enthusiasm for working with cutting-edge AI technologies.

You'll be responsible for designing and implementing backend services that integrate AI capabilities including large language models (LLMs), retrieval-augmented generation (RAG), and conversational interfaces into our consumer-facing products. This is an opportunity to expand your expertise into AI while leveraging your strong engineering foundation.

What You’ll Do
• Design and develop scalable, high-performance backend services and APIs.
• Implement integrations with AI platforms and services.
• Work with AI specialists to translate AI capabilities into production-ready features.
• Ensure high reliability, performance, and security of AI-powered systems.
• Collaborate with product and engineering teams to gather requirements and deliver solutions.

What We’re Looking for:
• 5+ years of professional backend engineering experience.
• Strong proficiency in at least one backend programming language (Java etc).
• Experience building and maintaining production-grade APIs and microservices.
• Solid understanding of distributed systems, data structures, and algorithms.
• Experience with SQL and NoSQL databases.
• Track record of delivering consumer-facing products at scale.

• Experience with AI/ML platforms and services (OpenAI, Hugging Face, etc.)
• Familiarity with LLMs, RAG, or conversational AI.
• Knowledge of vector databases and embedding technologies.
• Experience with cloud platforms (AWS, GCP, Azure).
• Understanding of AI/ML concepts and implementation patterns.

Senior AI-Native Software Engineer

Role summary

You will join a high-impact AI engineering team within R&D, owning problems end-to-end — from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.

As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild — building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.

Location

Hybrid — Herzliya, Israel

Full-time

What you'll do

• Own the full development loopunderstand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
• Use AI as your primary development tool, achieving in a day what used to take a team a week
• Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
• Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
• Own production readiness monitoring, alerting, and observability go in on day one
• Contribute to shaping team practices, tooling, and engineering standards across the pod
• Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

Who you are

• 5+ years of software engineering experience, building and operating production systems
• Hands-on experience with AI/ML systems in production not just prototyping, but shipping, monitoring, and iterating
• Genuine fluency with AI-powered development tools you use them daily to move faster
• Experience designing agentic architectures: orchestration, multi-step workflows, RAG pipelines, fallback and error handling
• Strong evaluation instincts you define metrics, build test sets, and validate before shipping
• Comfortable across the full stack you move between prompt engineering, backend services, data pipelines, and infrastructure as needed
• High degree of independence you lead work from problem definition to production without waiting for detailed specs
• Excellent communication you flag risks early, give direct feedback, and collaborate openly Fintech or regulated-environment experience is an advantage

#LI-LF1

Role summary:

We are seeking a seasoned and execution driven VP, head of data platform to lead all the R&D tracks of the Data and Analytics organization in Payoneer. This role focuses on leading a complex data engineering organization at scale, driving delivery, operational excellence and cross-company enablement through world-class data platforms and tools.

This leader will serve as the engineering owner of our data platform, managing multiple data infra, data engineering and BI development teams, overseeing extensive resources, and ensuring the delivery of high-quality, scalable, and reliable data products and services. This position requires a strong technical background combined with exceptional leadership, strategic thinking, and cross-functional collaboration skills.

He will also act as a key stakeholder in defining the architecture and strategic direction of our data infrastructure, pipelines, AI/ML infra and platforms to support the company's rapid growth and evolving business needs.

Hybrid 

Full-time



What you’ll do: 

• Lead and manage the entire data platform, including:
• Real-Time Data & Streaming Infrastructure: Introduce and engineer robust data streaming infrastructures (e.g., using Kafka, Pub/Sub, Dataflow) to enable near-real-time data ingestion and scalable low-latency data serving, unlocking advanced analytics and critical use cases.
• Data engineering teams responsible for the data ingestion, transformation and delivery pipelines
• BI infra and development teams owning the cross-company consumption layer, including BI tools, BI data layers and dashboards
• Serve as the operational and delivery lead across the data platform, ensuring strong project execution, roadmap alignment and measurable business impact
• Data Engineering & Architecture Oversight: Lead the design, development, and evolution of scalable data platforms, encompassing data lakes, data warehouses, and advanced data products, ensuring they meet performance, reliability, and business requirements.
• Operational Excellence & Reliability: Establish and drive engineering operational excellence processes across data engineering, significantly improving data quality, availability, and system reliability. Implement frameworks for proactive monitoring, alerting, and incident management, reducing major incidents and ensuring continuous visibility into data flows.
• Advanced Data Observability: Integrate and leverage cutting-edge data observability solutions (e.g., Monte Carlo) to provide comprehensive visibility into data pipelines, enabling proactive detection and resolution of anomalies.
• Cross-functional Collaboration & Stakeholder Management: Collaborate extensively with product, analytics, business, and infrastructure teams to align data strategies with overarching business priorities, ensuring the delivery of high-quality data products that meet diverse user needs.
• Innovation & Technology Adoption: Stay abreast of the latest data, cloud, and AI trends, driving the evaluation and adoption of modern cloud-native technologies to continuously improve platform capabilities and future-proof the ecosystem.
• Leadership & Team Growth: Lead, mentor, and grow a large team of data engineers, fostering a culture of technical excellence, continuous learning, and agile methodologies. Oversee budget management and drive talent development within the team.
• Data Governance & Quality: Oversee the implementation of standards for data quality, data integrity tools, governance, privacy, and regulatory compliance across the data ecosystem.

Who you are? 

• Extensive Experience: 15+ years of progressive experience in the software industry, with a significant portion in data engineering, data platform design, and leadership roles.
• 5+ in senior R&D or VP-level roles, managing large cross-functional teams. Proven experience in leading and managing large engineering teams (e.g., 30-40+ engineers) and overseeing large budgets. 
• Deep Technical Expertise- 
• Profound knowledge of modern cloud data platforms such as GCP, BigQuery, Snowflake, Databricks, Redshift, and Bigtable.
• Hands-on experience with ETL/ELT tools and frameworks (e.g., DBT, Dataform, Spark).
• Strong familiarity with real-time data processing and streaming platforms (e.g., Kafka, Pub/Sub, Flink, Dataflow, Kafka Streams, Storm).
• Experience with data warehousing, data lakes, Hadoop ecosystems (e.g., Cloudera)
• Experience in BI domains tools (e.g., Looker, Tableau, Power BI)
• Familiarity with legacy ecosystem (MySQL, SSRS)
• Experience with containerization and orchestration technologies like Kubernetes and infrastructure-as-code tools like Terraform.
• Operational Excellence: Demonstrated ability to establish and improve operational excellence processes, including proactive monitoring, alerting, incident management, and data observability solutions.
• Strategic & Business Acumen: Strong business acumen and the ability to align technical decisions with strategic business goals.
• Communication & Collaboration: Excellent communication, stakeholder management, and cross-functional collaboration skills to effectively align diverse teams and stakeholders.
• Problem-Solving: Exceptional problem-solving abilities and a creative approach to technical challenges.
• Education: Bachelor of Science degree, preferably in Computer Science or a related technical field.

#LI-Hybrid
#LI-CA1

We’re building a new team building to bring the power of Datadog to developers within AI-focused Developer workflows such as AI agents like Cursor, Claude code, GitHub Copilot and Datadog’s native AI agents.

We’re looking for product-minded engineers who are excited about developer tools, SDLC improvements and AI in general to help us quickly define and ship features and tools that make all Datadog customers 10x developers.

At Datadog, we place value in our office culture - the relationships that it builds, the creativity it brings to the table, and the collaboration of being together. We operate as a hybrid workplace to ensure our employees can create a work-life harmony that best fits them.

What You’ll Do: 

• Work on agents, prompts, evals, MCPs and direct agent tools from ideation to productization, for allowing Datadog to help companies and developers to maximize the benefit of their integration with Datadog
• Help conceptualize and build innovative User flows and experiences within Datadog’s user space and different extensions 
• Prototype and see what works well in the real world, iterate closely with our users, and then ship
• Follow the latest research on LLM prompt optimization, agents, and code editing.
• Support other Datadog product teams to help them build and productionize their developer-focused AI Workflows. For example, you’ll work with the Live Debugger team to create an agentic production debugging experience, delivering on the vision of  “one click to reproduce” for production errors.

Who You Are: 

• You’re a backend engineer with at least 5 years of professional experience who values code simplicity and performance. You’ve shipped software that uses LLMs to production
• You are passionate about Generative AI and its ability to help software engineers be more productive
• You have relevant experience with Large Language Models, large-scale systems and data sets, machine learning, or adjacent fields
• You are a great community ambassador and can drive hard technical conversations towards a pragmatic solution
• You want to work in a fast, high-growth startup environment that respects its engineers and customers
• You have experience writing classic or AI oriented developer tools(such as IDEs, static code analysis, SDLC tools etc).
• You have a BS/MS/PhD in a Computer Science, Engineering or related scientific field or equivalent experience

Datadog values people from all walks of life. We understand not everyone will meet all the above qualifications on day one. That's okay. If you’re passionate about technology and want to grow your skills, we encourage you to apply.

Benefits and Growth: 

• New hire stock equity (RSUs) and employee stock purchase plan (ESPP)
• Continuous professional development, product training, and career pathing
• Intradepartmental mentor and buddy program for in-house networking
• An inclusive company culture, ability to join our Community Guilds (Datadog employee resource groups)
• Access to Inclusion Talks, our Internal panel discussions
• Free, global mental health benefits for employees and dependents age 6+
• Competitive global benefits

Benefits and Growth listed above may vary based on the country of your employment and the nature of your employment with Datadog.

#LI-Hybrid

Join Apiiro — Design, develop, and deliver secure software faster

Apiiro is a fast-growing startup at the forefront of the application security field. Our cutting-edge platform is designed to help development teams build secure software quickly, enabling them to move faster while managing risks. As pioneers in the app-sec space, we’re shaping the future of secure software development. If you're looking for an exciting opportunity to make a significant impact and grow with a passionate team, Apiiro is the place to be.

About the Team

Our team focuses on delivering cutting-edge, AI-powered automated application security features within our ASPM product. We are a dynamic, agile team emphasizing seamless transitions from design to production, deployment, and ongoing monitoring. We excel at operationalizing machine learning, data science, and AI solutions into robust, secure, and high-performance security capabilities.

What You Will Do

• Be a core member of a cross-functional AI innovation team, collaborating closely with software engineers, MLOps specialists, and analysts.
• Design, build, and optimize end-to-end AI-driven features - from experimentation and model training to validation and deployment.
• Develop production-grade code (Python and C#) to integrate advanced models and data-driven capabilities into our core products.
• Continuously evaluate model performance and data quality in real-world settings, proactively driving improvements, retraining, and robust monitoring

What You’re About

• B.Sc. in Computer Science, Mathematics, or similar.
• 4+ years of hands-on experience in applied data science or machine learning roles.
• Experience with building solutions based on agents, LLMs, generative AI, and advanced AI/ML frameworks.
• Proficient in writing clean, maintainable, and efficient Python code.

• Optional (preferred):
• Experience with additional languages such as Java or C#.
• M.Sc. in Computer Science, Mathematics, or similar.

• Independent, proactive, and agile.
• Skilled at problem-solving and creative solution-finding.
• Strong teamwork and communication skills; thrive in highly collaborative, diverse teams.
• Innovative and committed to continuous learning and staying up-to-date with the latest technologies.

What We Stand For at Apiiro

OneTeam, One Mission means we’re all in it together - tearing down walls, listening to every voice, and working as one to create real value for our customers.

Striving for Greatness drives us to keep pushing forward, aiming higher, and staying resilient. We don’t believe in “good enough.”

Own It, we take pride in what we do. We’re all about accountability, trust, and transparency, so we’re empowered to make a real impact. 

Customer Centric means our customers are at the heart of everything. We go beyond just meeting their needs; we build solutions that truly make a difference.

These values keep us motivated to deliver the best for our customers and each other, every single day.

-----

If you're ready to join a team that's dedicated to transforming the future of app security, we’d love to hear from you. Apply now and let’s build the next generation of secure software together!

The role 

We are seeking a reliable, tech-savvy, and customer-focused Tier 1 Help Desk Technician to join our IT team. This position is responsible for providing first-level support for end-user IT issues, including hardware, software, and basic networking problems. The role is fully on-site (5 days a week) and requires a hands-on approach to assisting employees with day-to-day technical issues and setups.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include:

• Serve as the first point of contact for users seeking technical assistance in person, messaging, ticket, or email.
• Log, categorize, and prioritize all incoming support requests in the IT ticketing system.
• Analyze, troubleshoot, resolve and document a broad scope of hardware, software, and peripheral issues (e.g., printers, monitors, network).
• Assist with user account creation, password resets, and access permissions in Active Directory and other enterprise systems.
• Install, configure, and maintain desktop/laptop computers, mobile devices, and software applications.
• Escalate complex or unresolved issues to Tier 2/3 support in a timely manner.
• Maintain and update asset inventory records.
• Facilitate and support seamless onboarding and off-boarding processes, including workstation setup, re-imaging and return.
• Follow standard procedures for proper escalation and ticket closure.
• Provide excellent customer service by ensuring timely and clear communication with end users.
• Extensively document actions taken and suggested resolutions in detail.
• Actively contribute to IT knowledge base.
• Assist with regular IT maintenance tasks, such as software updates and hardware checks (for both user endpoints and office infrastructure).
• Ensure compliance with company IT policies and procedures.

It will be an added bonus if you have:

• Exhaust all possible scenarios within their access level when attempting to resolve an issue
• Proactively seek feedback from peers, mentors, and leaders
• Exhibits prideful ownership of work and proactively champions the needs of the team, users, and projects
• Contribute to continuous service improvement by participating in projects and driving operational enhancements.
• Build meaningful and fruitful relationships within the team and cross functionally
• Fearlessly seek improvement personally, within processes, and within the team’s culture

We expect you to have:

• An IT customer support background with 4+ years of service desk technical experience.
• Advanced troubleshooting skills in AV systems, Microsoft Azure, Microsoft 365 (including Office 365), networking, software and MDM administration, along with experience managing enterprise applications such as Slack, Jira, Zoom, and similar tools.
• Technical documentation and knowledge base (KB) writing skills.
• Hands-on experience with Jira or comparable service management systems.
• A customer-first mindset, prioritizing employee satisfaction and support quality.
• The ability to independently resolve technical issues across the support portfolio.
• Strong organizational skills with the capacity to effectively prioritize and manage a busy workload.
• A collaborative spirit, working seamlessly with cross-functional team members to meet employee needs and achieve company goals.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role 

As a Legal Counsel, you will play a key role in providing high-quality legal, regulatory, and compliance advice across multiple domains — including data protection & privacy, information security, private investment funds and employment (HR) — to all areas of the business.
You will serve as a trusted advisor to management and cross-functional teams, ensuring that our business operates within the complex global regulatory landscape while enabling innovation and growth.

We are looking for a smart, proactive, and business-oriented lawyer who is passionate about technology, people, and compliance. The ideal candidate will thrive in a fast-paced, global environment and will enjoy the challenge of navigating legal and operational issues across data, security, and HR.

Responsibilities

• Provide legal support and strategic advice on a wide range of topics, including data protection, cybersecurity, HR/employment, private fund investment funds  and commercial matters.
• Draft, review, and negotiate various commercial agreements, including vendor, SaaS, partnership, data processing, and employment-related contracts.
• Advise internal teams — including IT, Security, HR, Engineering and Finance — on compliance with applicable laws and company policies.
• Ensure compliance with global privacy and data protection frameworks (GDPR, CCPA, Israeli law, etc.) and collaborate with security teams to align contractual and operational security requirements.
• Contribute to the development and implementation of company-wide legal, privacy, and security governance frameworks.
• Provide practical, business-focused solutions to complex legal questions in a dynamic fintech and data-driven environment.

Requirements

• LL.B, J.D., or equivalent, and license to practice law in Israel.
• 5+ years of experience in commercial, technology, or corporate law — with exposure to data protection, cybersecurity, or employment law being a strong advantage.
• Proven experience drafting and negotiating complex commercial agreements (B2B SaaS, data licensing, service agreements, etc.).
• Solid understanding of privacy and data protection laws (GDPR, CCPA, Israeli law).
• Familiarity with information security frameworks (ISO 27001, SOC 2) and/or employment compliance practices – an advantage.
• Excellent analytical, drafting, and negotiation skills, with the ability to communicate clearly and effectively to both legal and non-legal stakeholders.
• Fluency in English – a must.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

About Pagaya

Pagaya is a global technology company making life-changing financial products and services available to more people nationwide, as it reshapes the financial services ecosystem. By using machine learning, a vast data network and a sophisticated AI-driven approach, Pagaya provides comprehensive consumer credit and residential real estate solutions for its partners, their customers, and investors. Its proprietary API and capital solutions integrate into its network of partners to deliver seamless user experiences and greater access to the mainstream economy. Pagaya has offices in New York and Tel Aviv. For more information, visit pagaya.com.

About the Role

We are seeking an experienced IT Director to lead the company’s global IT operations and infrastructure services across multiple locations. This role will oversee the IT support and systems teams and ensure the reliability, scalability, and security of the organization’s technology environment across our sites in Israel and Manhattan.

The IT Director will be responsible for managing daily IT operations, service delivery, infrastructure platforms, and vendor relationships while working closely with Cyber Security, DevOps, and Business Applications teams.

What you will do? 

• Lead and manage global IT operations across the company’s sites in Israel and Manhattan.
• Manage the IT support (Helpdesk) and infrastructure teams to ensure high-quality service delivery and operational excellence.
• Oversee the performance, availability, and security of corporate IT systems, cloud services, and network infrastructure.
• Define and monitor SLAs and operational KPIs to ensure consistent and reliable IT services across locations.
• Drive continuous improvement of IT processes including onboarding, offboarding, asset management, and incident management.
• Act as the primary escalation point for complex or critical IT operational issues.
• Collaborate closely with Cyber Security, DevOps, and Business Applications teams to ensure secure and efficient technology services.
• Manage IT vendors, service providers, and procurement processes.
• Plan and manage IT operational budgets and cost optimization initiatives.
• Mentor and develop IT team members while fostering a strong service-oriented culture.

Requirements

• 5+ years of experience managing IT infrastructure and enterprise systems environments.
• 5+ years of experience leading IT support or IT service delivery teams.
• Proven experience managing IT operations across multiple sites or global environments.
• Strong knowledge of enterprise IT infrastructure including cloud platforms, identity management, endpoint management, networking, and collaboration tools.
• Experience working with security frameworks and collaborating with cyber security teams.
• Strong leadership, communication, and stakeholder management skills.

Our Team

Pagaya was founded in 2016 by seasoned research, finance, and technology entrepreneurs, and we are now 500+ strong in New York, Los Angeles, and Tel Aviv.

We move fast and smart, identifying new opportunities and building end-to-end solutions from AI models and unique data sources. Every Pagaya team member is solving new and exciting challenges every day in a culture based on partnership, collaboration, and community.

Join a team of builders who are working every day to enable better outcomes for our partners and their customers.

Our Values

Our values are at the heart of everything we do. We believe great solutions are built through a great community.

• Advance Inclusion- We create a world where everyone can win, designing systems that better represent people and generate sustainable value for our employees, partners and investors.
• Be Accountable Together- We proudly own our actions and our results, taking initiative to ensure our work gets over the finish line as a team.
• Continuously Learn- We challenge ourselves for the sake of getting better as individuals, as teams, and as an organization to deliver for our partners.
• Debate and Commit- We respectfully and openly debate to strengthen our ideas and build shared conviction - once we decide, we go all in, together.
• Dream Big and Act- We boldly tackle complex problems, pressure-test solutions in real-time, and adapt with speed and energy.

More than just a job

We believe health, happiness, and productivity go hand-in-hand. That's why we're continually looking to enhance the ways we support you with benefits programs and perks that allow every Pagayan to do the best work of their life. 

Pagaya is an equal opportunity employer. Pagaya is encouraging diversity and actively seeking applicants from all backgrounds, as are committed to creating a diverse workforce together with an inclusive environment for all. Employment is decided on the basis of qualifications, skills, and business needs.

BeyondTrust is a place where you can bring your purpose to life through the work that you do, creating a safer world through our cybersecurity SaaS portfolio.

Our culture of flexibility, trust, and continual learning means you will be recognized for your growth, and for the impact you make on our success. You will be surrounded by people who challenge, support, and inspire you to be the best version of yourself.

The Role

BeyondTrust is the worldwide leader in intelligent identity and access security, empowering organizations to protect identities, stop threats, and securely deliver dynamic access. Our industry-leading platform and integrated products offer the most advanced Privileged Access Management (PAM) and Cloud Infrastructure Entitlements Management (CIEM) solutions, enabling enterprises to reduce their attack surface across traditional, cloud, and hybrid environments. 

Entitle, BeyondTrust’s industry leading product offering provides granular, just‑in‑time access and advanced permission management across cloud infrastructure, SaaS, and modern enterprise environments. As part of our vision to become the modern standard for identity security in multi‑cloud infrastructure, we are accelerating toward a future where secure access for humans and machines is automated, intelligent, and increasingly free of human‑managed processes. We place a heavy emphasis on building products that address our customers' modern pain points, making security and compliance a low-effort activity. We value technical curiosity and proactive learning. The ideal PM keeps pace with the market and technology changes, understands the implications, and helps to craft roadmaps that deliver outcomes in support of our customers. 

As a Senior Product Manager for Entitle, you will be a major stakeholder in the product strategy and lead the execution across a cross-functional team. You will collaborate with leadership to shape the long-term vision, partner closely with engineering and design, and own delivery of platform-wide capabilities that scale with our rapidly growing user base.

What You’ll Do

• Develop, execute, and maintain an agile product, roadmap and craft user stories with the broader product management team as a core part of BeyondTrust’s identity security portfolio.
• Define and prioritize features for visibility, permission management, least privilege, compliance automation, and identity governance.
• Oversee the full product lifecycle from concept through launch and performance measurement.
• Champion user needs through AI-driven insights, research, and continuous delivery.
• Translate customer, market, and business requirements into actionable roadmaps and measurable outcomes.
• Collaborate with engineering to deliver secure, technically sound products aligned with best practices.
• Monitor industry trends and competitors to inform product direction and strategy.
• Lead the shift to probabilistic product experiences, balancing user experience with security and reliability.
• Support sales and pre-sales activities, and gather feedback from internal and external stakeholders to refine enhancements.

What You’ll Bring

• Self-reliant leader and team player, with a “let’s do this” approach
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or related field.
• 4+ years of proven product management experience in identity management or security SaaS platforms.
• Experience with PM AI tools, LLM prototyping and prompt engineering.
• Fluency in the modern AI stack, demonstrable experience building or integrating AI/ML-powered features.
• Technical background in Identity Security, Identity Access Management, Privileged Access Management, Identity Threat Detection and Response, Cloud Infrastructure, Cloud Security Management, Cloud Infrastructure Entitlements Management, or related discipline.
• Relevant military experience is considered an advantage.
• Experience with public cloud computing, e.g. Azure, AWS, Google Cloud Platform
• Experience with Agile methodologies and a track record of delivering results in a fast-paced environment, specifically within the Software Development Lifecycle (SDLC)
• Excellent written, verbal, and presentation English communication skills, effectively contributing within an international corporate setting
• Demonstrates strong organizational skills by effectively multitasking and prioritizing responsibilities, maintains a professional demeanor at all times, and consistently supports and adheres to the Company’s Core Values.
• Have a passion for design and good UX
• Willingness to travel (not often, but we would need someone open to it when or if it is ever needed)

Better Together

Diversity. Inclusion. They’re more than just words for us. They are the guiding values of how we build our teams, cultivate leaders, and create a culture where people feel connected.

We take care of our employees so they can take care of our customers. Customers who come from all walks of life just like us. We hire incredible people from diverse backgrounds because when we are different together, we are stronger together.

About Us

BeyondTrust is the global identity security leader protecting Paths to Privilege™. Our identity-centric approach goes beyond securing privileges and access, empowering organizations with the most effective solution to manage the entire identity attack surface and neutralize threats, whether from external attacks or insiders.

BeyondTrust is leading the charge in transforming identity security to prevent breaches and limit the blast radius of attacks, while creating a superior customer experience and operational efficiencies. We are trusted by 20,000 customers, including 75 of the Fortune 100, and our global ecosystem of partners.

Learn more at www.beyondtrust.com. 

#LI-BS1

The role

This role is for Nebius AI R&D, a team focused on applied research and the development of AI-heavy products. Examples of applied research that we have recently published include:

• investigating how test-time guided search can be used to build more powerful agents;
• dramatically scaling task data collection to power reinforcement learning for SWE agents;
• maximizing efficiency of LLM training on agentic trajectories.

One example of an AI product that we are deeply involved in is Nebius Token Factory — an inference and fine-tuning platform for AI models.

This role will require expertise in distributed systems to build large-scale LLM training platform.

Your responsibilities will include: 

• Designing and developing LLM training platform.
• Maintaining our ML infrastructure, ensuring optimal performance, scalability and reliability.
• Improving job scheduling strategies to minimize resource fragmentation. 

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

The role

Token Factory is a part of Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference & fine-tuning platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to train & deploy at massive scale.

• Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

• Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. This involves building model training and evaluation pipelines in JAX for speculative decoding, experimenting with architectures (dense/MoE, auto-regressive/parallel), and deriving scaling laws to guide resource allocation.                                                                                
• Low Precision Training & Inference: Investigating low-precision (FP8, NVFP4/MXFP4) methodologies for supervised fine-tuning and reinforcement learning - spanning both inference and training - optimized for modern hardware

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning.

• Deep expertise in modern deep learning for language processing and generation

• Experience with training large models on multiple computational nodes

• Reasonable understanding of performance aspects of large neural network training (sharding strategies, custom kernels, hardware features etc.)

• Strong software engineering skills (we mostly use Python)

• Deep experience with modern deep learning frameworks (we use JAX)

• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

• Strong communication and leadership abilities

Nice to have:

• Previous experience working with language models or other similar NLP technologies.

• Familiarity with important ideas in LLM space, such as MHA, RoPE, ZeRO/FSDP, Flash Attention, quantization

• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.

• Strong engineering skills, including experience in developing large distributed systems or high-load web services.

• Open-source projects that showcase your engineering prowess

• Excellent command of the English language, alongside superior writing, articulation, and communication skills.

The role

Nebius is searching for an Enterprise Networks Engineer with strong automation skills to design, implement, and optimize enterprise networks in Tel Aviv, including wired, wireless, and VPN infrastructure. 

Your responsibilities will include: 

• Lead the design, implementation, and optimization of enterprise wired and wireless networks, ensuring scalability, security, and high availability
• Own and maintain network connectivity between branch offices around the world, partnering with global teams to standardize architecture and operations
• Manage and ensure the reliable operation of remote access systems (VPN), including capacity planning, resiliency, and continuous improvements
• Deploy, maintain, and continuously improve automation and monitoring tools; define best practices and drive automation-first operations
• Diagnose and resolve complex network issues, including cross-region and cross-provider incidents; perform root cause analysis and implement preventative measures
• Test, evaluate, and introduce new equipment and emerging technologies; contribute findings and recommendations into global R&D streams
• Collaborate with telecom service providers in the US and globally; lead escalations, manage SLAs, and drive service improvements

We expect you to have: 

• In-depth knowledge of TCP/IP technologies
• Familiarity with dynamic routing protocols
• Experience in automation using Python, Go, or other popular programming languages (ability to design and maintain production-grade automation)
• Proficiency in Unix system administration
• Hands-on experience with enterprise-grade network hardware (e.g., Cisco, Aruba, Arista, Extreme, Juniper)
• Strong ability to work independently, owning outcomes end-to-end in a senior/lead capacity

It will be an added bonus if you have: 

• Experience with network automation frameworks like Ansible, Terraform, NetBox, Nornir, or SaltStack
• Experience designing, developing, and operating high-load distributed systems
• Experience building high-density enterprise wireless networks (CWNA level or higher)
• Working knowledge of IPv6

About Us

At Unframe, we build AI-powered products that address real-world challenges. Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery. We work on-site from our Tel Aviv office, collaborating closely across engineering, product, and AI to move fast and build with purpose.

What You'll Do

As an Applied AI Engineer, you’ll work closely with customers and internal teams to translate business problems into AI-driven solutions. You’ll be hands-on with AI workflows, and help bridge the gap between model capabilities and real-world impact.

Responsibilities

• Implement workflows and configure model behavior for customer solutions.
• Build integrations between AI logic and deterministic building blocks.
• Work with platform and research teams to surface platform-level improvements.

Requirements

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 4+ years of experience in software engineering, data science, machine learning, or research roles (including relevant academic experience).
• Experience building and delivering production solutions to customers using Python, TypeScript, or similar.
• Experience building pipelines for structured and unstructured data, including work with vector databases and retrieval-augmented generation (RAG)-like architectures.
• Experience with prompt design, evaluation, and iteration workflows.
• Ability to rapidly understand complex domains and read and implement research papers.
• Comfortable working with real-time applications and production systems.

Nice to Have

• Master’s degree or PhD in AI, Computer Science, or a related technical field.
• Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, Google ADK) and patterns such as ReAct, self-reflection, and hierarchical delegation.
• Knowledge of LLM-native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
• Background in data pipelines, APIs, or system integrations.
• Experience working with enterprise or B2B customers.
• Experience working in fast-paced startup environments.

As a Machine Learning Engineer at MyHeritage, you will play a crucial role in developing and implementing machine learning models that drive our products and user experiences. You will have a significant impact on our large and growing user base by leveraging the latest AI technologies to solve challenging problems at scale. This is a unique opportunity to join a forward-thinking team that is passionate about innovation, data, and machine learning.

What you’ll do

• Design, develop, and deploy machine learning models for various business needs.
• Collaborate with cross-functional teams, product managers, and software engineers, to integrate ML solutions into production systems.
• Experiment with and iterate on model architectures to improve accuracy, efficiency, and scalability.
• Work with large datasets to preprocess, clean, and extract meaningful features for model training.
• Utilize MLOps best practices to automate and streamline the development lifecycle of ML models.
• Monitor model performance and fine-tune for optimization.
• Stay updated with the latest research and advancements in machine learning and AI.

What you bring

Technical skills:

• Strong foundation in machine learning techniques such as supervised and unsupervised learning, deep learning, and vision/NLP experience.
• Proficiency in Python, along with popular ML libraries and frameworks such as PyTorch, Scikit-Learn, pandas, NumPy, SciPy, TensorFlow.
• Experience with data preprocessing and feature engineering for structured and unstructured data.
• Knowledge of model deployment and serving, using tools like Docker, Kubernetes, or cloud-based services (AWS, GCP, Azure).
• Familiarity with MLOps tools for automation and monitoring (e.g., MLFlow, ClearML).
• Experience with SQL for data extraction and analysis (optional).

Experience:

• Bachelor’s or Master’s degree in Computer Science, Statistics, Mathematics, or a related field.
• 7+ years of experience in software development, including at least 3 years of experience in the machine learning domains.
• Experience working in a B2C company or a similar high-paced environment is an advantage.
• Proven track record of implementing impactful machine learning solutions in production.

Core attributes

• Strong analytical mindset, with the ability to tackle complex problems with creativity and efficiency.
• Excellent communication skills for conveying technical ideas to both technical and non-technical stakeholders.
• High level of attention to detail and quality in your work.
• Ability to work effectively in a team environment, while also being a self-starter when working independently.
• Curious and eager to keep learning about the latest trends in AI and machine learning.
• Comfortable in a fast-paced, dynamic work environment with changing priorities.

 About MyHeritage

MyHeritage is the leading global discovery platform for exploring family history. With billions of historical records and family tree profiles, and with sophisticated matching technologies that work across all its assets, MyHeritage gives users the joy of discovering their past and empowering their future. MyHeritage is the most popular DNA test and family history service in Europe. Since 2020, MyHeritage is also home to the world’s most advanced AI technologies for repairing, enhancing, colorizing, and animating historical photos. Learn more at www.myheritage.com. See what it’s like to work at MyHeritage on www.glassdoor.com.

Benefits at MyHeritage

Our employees enjoy a range of benefits to enhance work-life balance and well-being:

• Hybrid work model
• Modern, beautiful office in Or Yehuda with shuttle service from Tel Aviv and employee parking (for our Or Yehuda employees)
• On-site gym and pilates classes
• Dog-friendly office
• Well-stocked kitchens and a monthly meal allowance 
• Fully funded supplemental health insurance

#LI-Hybrid

About Us

At Unframe, we build AI-powered products that address real-world challenges.
Our platform team is at the core of this mission, developing the infrastructure, reusable components, and internal tools that enable rapid and reliable product delivery.

What You'll Do

As a Full Stack Software Engineer on the Platform team, you’ll work on the core of Unframe - building reusable AI services, scalable APIs, a dynamic UI engine, and shared infrastructure that powers every solution we deliver. We work on site from our Tel Aviv office, building fast and collaborating closely to support the entire product surface.

Responsibilities

• Design and implement core AI building blocks, backend services and frontend components.
• Work on platform-wide features such as user management, abstractions, and dashboards.

Requirements

• 4 + years of software-engineering experience.
• Ability to design clean APIs, services and reusable UI components.
• Proficiency with JavaScript, Node.js, Vue\React and PostgreSQL.
• Experience working on platforms, developer tools, or complex product environments.
• High standards for performance, maintainability and developer experience

Nice to Have

• Background in AI/ML, LLMs, or prompt-based apps.
• Experience with design systems or multi-tenant architecture.
• Familiarity with backend performance optimization and DB architecture.

About Unframe

Unframe is reinventing enterprise software for the AI era. We enable large organizations to deploy secure, production-grade AI solutions across dozens of use cases, quickly and at scale. Our platform allows enterprises to become AI-native without the heavy lift of traditional software development. We work on-site at our TLV offices.

We operate at high velocity. Our solutions continuously evolve. We build for enterprise scale from day one.

About the Role

This is a foundational hire.

As Unframe’s first Technical Writer, you will define how documentation works across the company. You will build the structure, standards, and AI-powered workflows that allow dozens of evolving enterprise AI solutions to scale clearly and consistently.

This role combines strategic ownership with hands-on execution. You will design and own a documentation engine while producing high-quality, client-facing materials that directly impact customer adoption, implementation speed, and our ability to scale across industries and use cases. All documentation and client-facing materials are produced in English.

Responsibilities

• Define and implement Unframe’s documentation strategy, architecture, and governance.
• Build scalable documentation frameworks to support multiple evolving AI solutions and product variations.
• Establish and drive cross-functional documentation processes across Product, Engineering, Solutions, and Customer teams.
• Create clear, accurate, and enterprise-ready client-facing materials including solution overviews, technical documentation, integration guides, implementation playbooks, and release notes.
• Write and maintain product microcopy and in-platform guidance where needed to improve clarity and usability.
• Translate complex AI systems, APIs, and integrations into structured, accessible content.Design and implement AI-assisted documentation workflows to improve speed, consistency, and maintainability.
• Create visual documentation assets including diagrams, architecture flows, and annotated screenshots.Ensure documentation remains accurate, versioned, and aligned with ongoing product releases.
• Manage multiple parallel documentation initiatives in a fast-moving environment.

Requirements

• Native English speakers or native-level written and verbal fluency in English is required.
• 3+ years of experience in technical writing, developer documentation, or solutions documentation within SaaS or enterprise environments.
• Experience building or significantly shaping a documentation function, not just contributing to one.
• Strong understanding of APIs, integrations, system architecture, and enterprise software environments.
• Demonstrated experience leveraging AI tools to augment or automate documentation workflows.
• Experience producing client-facing technical materials for enterprise audiences.
• Proven ability to manage multiple projects and shifting priorities in a fast-paced environment.
• High ownership mindset with the ability to operate independently.
• Exceptional writing skills with strong attention to clarity, structure, and precision.

Nice to Have

• Experience in AI or ML platforms.
• Background in engineering, computer science, or solutions architecture.
• Experience working with modular, customizable, or multi-solution platforms.
• Familiarity with documentation platforms such as Confluence, Notion, or documentation-as-code methodologies.
• Experience collaborating with design tools such as Figma.

Impact

As Unframe scales, clarity becomes a competitive advantage. This role is critical to turning rapid AI innovation into structured, enterprise-ready communication that supports growth across dozens of evolving solutions.

If you are excited about building systems, working at the frontier of enterprise AI, and transforming complexity into clarity at scale, we would love to speak with you.

Transmit Security gives businesses the modern tools they need to build secure, trusted and end-to-end digital identity journeys to innovate and grow. 

CX-focused, cybersecurity conscious leaders rely on Transmit Security’s xCIAM platform to provide their customers with smooth experiences protected from fraud across all channels and devices.

Transmit Security serves many of the world’s largest banks, insurers, retailers, and other leading brands, collectively responsible for more than $1.3 trillion in annual commerce. 

About the Role:

Transmit Security is a top player in its game and is heading for an exciting year.

In this role, you will take an integral part in the creation of a new and innovative SaaS product.

If you are a talented software engineer that likes to solve complex problems and looking for your next challenge we want you to join our team!

What you’ll do: As the Team Leader at Transmit Security, you will lead a talented team to design, implement, and deploy scalable data solutions for an innovative SaaS product. You’ll be responsible for shaping the direction of a system that impacts millions of users worldwide. If you're an experienced manager with a strong technical background, ready to lead in a dynamic, fast-paced production environment, we want you on our team!

Responsibilities:

• Collaborate effectively with cross-functional teams (Data Science, Security, etc.) to ensure alignment on business needs and security standards.
• Manage the technical backlog, make critical decisions on product milestones, and ensure timely, secure, high-quality delivery and deployment.
• Foster the growth of team members through mentorship, personal development opportunities, and the promotion of continuous improvement.
• Identify, manage, and mitigate security risks across the data platform, maintaining high standards in all initiatives.
• Define and implement methodologies to guarantee the performance, scalability, and quality of our data infrastructure.

What We're Looking For:

• 5+ years of software engineering experience, with at least 2 years in a leadership capacity.
• Extensive knowledge of distributed computing platforms (Flink, Spark, Beam) and cloud platforms (AWS, GCP, Azure).
• Proficiency in programming languages such as Python, Java, Scala, or Go.
• Demonstrated strong leadership abilities, including guiding teams, managing backlogs, and fostering effective cross-functional collaboration.
• Proven experience in managing security risks and ensuring high-quality, scalable, and compliant systems.
• Ability to maintain focus on key priorities and excel in a fast-paced, dynamic production environment.

Advantages:

• Bachelor’s degree in Computer Science or a related field.
• Experience with microservice architecture, data management tools (Kafka, Airflow, MLOps), and CI/CD processes.
• Familiarity with databases (Postgres SQL, Redis) and Kubernetes.
• Background in identity management, risk assessment, or fraud detection.

#LI-AM1 #LI-Hybrid

The role

We are looking for a Technical Project Manager to join our team and manage different projects and changes in data center. You will work with modern GPU clusters, responsible for execution of projects around IT infrastructure and equipment: GPU servers, high-speed network, compute and storage systems. Acting as a key link between the stakeholders, project and technical teams, you will drive operational activities across your responsibility area.

Your responsibilities will include: 

• Management and delivery of IT infrastructure projects, change requests in data centers

• Proactively identify and manage resolution of technical and operational issues

• Managing risks and dependencies in live environments

• Maintain clear operational documentation, including plans, risk logs, and issue trackers.

• Lead communication with all stakeholders: provide regular progress updates, escalate blockers, and manage expectations.

• Lead meetings and technical discussions with a focus on decision-making, clear next steps, and timely execution.

• Collaborate with cross-functional teams.

• Engage directly with data center engineers, vendors, and operations teams.

• Participate in related project tasks, including automation, process improvements, and design support as needed.

We expect you to have:

• Proven experience in data center infrastructure operations, preferably in high-performance or AI-oriented environments.

• Solid understanding of data center design and operations: racking, cabling, power planning, cooling considerations.

• Hands on experience working with IT hardware in data centers.

• Be comfortable in data center environments and during live operations.

• Experience in project delivery, team management, cross team collaboration

• Strong problem-solving skills; ability to troubleshoot technical and workflow issues in an IT stack.

• Ability to document processes, maintain tracking systems, and produce clear deployment reports.

• Activity, responsibility and purposefulness

• Ready for occasional business trips

It will be an added bonus if you have:

• Familiarity with structured project management or delivery frameworks (e.g., PRINCE2, PMI, Agile)

• Relevant technical certifications 

• In depth technical knowledge of GPU servers, compute nodes, high-speed networking

• Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
• Implement asset management processes to track the full lifecycle of assets.
• Review and refine logistics/warehousing processes to identify areas for improvement.
• Set up and manage equipment certification processes to meet operational and regulatory requirements.
• Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
• Manage insurance for assets, including claims, renewals and risk mitigation strategies.
• Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
• Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
• Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.

• 3-5 years of experience in logistics or logistics project management.
• Familiarity with logistics management systems, ERP software and asset-tracking tools.
• Strong project management skills with the ability to manage multiple tasks and priorities.
• Knowledge of logistics, warehouse operations and asset lifecycle management best practices.
• Strong attention to detail and organizational skills.

The role 

We are building our L3 Support Line from scratch to serve as the datacenter center of expertise for servers, firmware (BIOS/BMC), and deep Linux diagnostics across Europe and the US.

This is a senior technical role focused on deep investigations, cross-site pattern detection, and driving permanent fixes with R&D and ODM vendors. You will turn complex incidents into scalable solutions and elevate L1/L2 capabilities through strong technical enablement.

You’re welcome to work in our data center in Israel.

Your responsibilities will include: 

Deep Technical Investigation (Primary Focus)

• Lead root cause analysis beyond L2 depth (GPU failures, firmware issues, Linux-level faults, HW/SW interactions).

• Detect recurring patterns across sites and convert findings into durable fixes.

• Own technical workstreams during high-severity incidents.

Vendor & R&D Collaboration

• Build evidence packs and drive escalations with ODM and R&D.

• Push for firmware, component, and platform-level resolutions.

• Track outcomes and ensure knowledge flows back to operations.

Firmware & Platform Readiness (BIOS/BMC)

• Support validation and rollout of firmware updates (risk assessment, staging, rollback planning).

• Help operationalize platform standards across datacenters.

Knowledge & Enablement

• Create scalable runbooks, troubleshooting guides, and error catalogs.

• Turn investigations into playbooks that elevate L1/L2 teams.

Hands-on Support (As Needed)

• Travel to datacenters for complex troubleshooting, new platform readiness, or incident containment.

We expect you to have: 

• Strong hands-on experience with datacenter servers and deep Linux troubleshooting.

• Ability to diagnose across hardware, BIOS/BMC firmware, and Linux (logs, drivers, storage basics, performance triage).

• Structured incident response experience and clear communication under pressure.

• Experience driving evidence-based escalations with vendors/R&D.

• Fluent English (written and spoken).

It will be an added bonus if you have: 

• Strong familiarity with GPU server platforms and tooling (for example: nvidia-smi, dcgmi, Linux logs correlation).

• Experience with ipmitool and Redfish workflows, firmware lifecycle, and staged rollouts.

• Scripting skills (bash and basic Python) for log collection, triage automation, and simple reliability analysis.

• Exposure to OCP-based platforms and ODM manufacturing ecosystems.

• Experience supporting enterprise bare metal customers under contractual SLAs.

About Tavily Team

Tavily team is building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed.

We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world.

The role 

We are looking for an outstanding and diligent Technology Commercial Legal Counsel with an excellent track record, a strong work ethic, and exceptional attention to details to join our dynamic Legal team based in Tel Aviv.

You will take ownership of drafting, reviewing, and negotiating critical worldwide agreements that underpin Tavily’s business operations, while ensuring our compliance with global privacy and data protection regulations.

You’re welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include: 

• Draft, review, and negotiate a wide range of commercial agreements, including customer, vendor, consulting, referral, reseller and NDAs.
• Support and enhance Tavily’s privacy and data protection program, ensuring compliance with applicable regulations such as the GDPR, CCPA, and other global standards.
• Review and negotiate DPAs and provide ongoing legal guidance on privacy matters.
• Partner with cross-functional teams, including Product and R&D, to identify legal needs and implement best practices.
• Draft employment-related documents and advise on employment law matters.
• Provide legal support on corporate matters.
• Collaborate with stakeholders across the company to assess legal risk and develop practical mitigation strategies.

We expect you to have: 

• Bar admission in the U.S., EU or Israel.
• LL.B. or equivalent law degree, from a top-tier university.
• 3-6 years experience post internship/trainee program, practicing commercial and privacy law, at both leading law firm and as in-house counsel at a tech company.
• Strong experience in drafting and negotiating technology commercial agreements (including DPAs).
• Experience with global privacy regulations (such as the GDPR, CPRA, U.S. state privacy laws).
• Experience with U.S. copyright and intellectual property laws.

It will be an added bonus if you have: 

• Familiarity with global AI regulations
• Experience in corporate or employment law
  
  

The Role

We are seeking a detail-oriented and experienced Regional Asset Manager to oversee the management of our Data Center IT infrastructure assets. You will play a crucial role in ensuring efficient utilization, tracking, and management of IT equipment to support operational excellence in IT department.

Key Responsibilities:

• Be responsible for an inventory database for all IT assets, including servers, storage systems, networking equipment including data center IT components like GPUs, transceivers and many more.

• Conduct regular audits of physical and virtual assets to ensure accuracy and compliance with company policies.

• Manage the entire lifecycle of IT assets from procurement through deployment, maintenance, and eventual disposal.

• Manage RMA process for GPUs, Motherboard, Power supplies, and many more data centre components.

• Generate regular reports on asset utilization, performance metrics, and financial analysis related to the IT infrastructure.

• Analyze trends and provide recommendations for optimizing asset performance and reducing costs.

• Establish and enforce policies regarding asset management practices, including security, compliance, and risk management.

• Ensure adherence to industry standards and regulations concerning IT asset management.

• Work closely with IT departments, project managers, and other stakeholders to support projects and initiatives requiring asset allocation.

• Communicate asset status and potential issues to senior management and relevant teams effectively.

• Identify opportunities for process improvements in asset tracking, reporting, and life cycle management.

Requirements:

• Bachelor’s degree in Information Technology, Business Administration, or a related field.

• Proven experience in asset management, particularly within IT equipment assets.

• Strong understanding of IT infrastructure components and asset management tools.

• Excellent analytical, organizational, and problem-solving skills.

• Strong communication and interpersonal skills.

• Strong written and spoken fluency in English

• Excel at the advanced level (pivot tables, formulas, lists, graphs).

• Experience with budgeting and financial forecasting related to IT assets.

• Readiness for business trips.

It will be an added bonus if you have:

Relevant certifications like IAITAM CHAMP or equivalent.

The role

Nebius is looking for an experienced Security Architect Manager to join the Cyber Security organization, reporting to the Head of Security Engineering uner the CISO.

This role is responsible for leading the organization’s security architecture across corporate networks and cloud environments, ensuring secure design and implementation of enterprise infrastructure at scale.

The ideal candidate combines deep expertise in network and cloud security with strong leadership capabilities. You will define and drive security architecture across hybrid environments, working closely with IT, Infrastructure, Network, DevOps, and Security teams to ensure robust, scalable, and resilient security controls.

Your responsibilities will include: 

• Lead and manage the security architecture domain, including security architects and/or senior engineers.
• Define and maintain security architecture standards, guidelines, and reference designs across corporate and cloud environments.
• Act as the primary authority on enterprise security architecture across networks, identity, endpoints, and cloud platforms.
• Design and evolve secure enterprise network architectures, including segmentation, Zero Trust, and hybrid connectivity.
• Define and enforce security controls for corporate networks, data centers, and remote access solutions (ZTNA, proxies, NAC).
• Lead architecture and selection of network security technologies (e.g., firewalls, secure gateways, access control solutions).
• Lead security architecture across cloud platforms and hybrid environments.
• Define secure reference architectures for cloud networking, identity, and workload protection.
• Ensure proper implementation of cloud security controls, including IAM, segmentation, encryption, and monitoring.
• Define security architecture for endpoints and identity, including EDR/XDR, device hardening, SSO, MFA, and privileged access.
• Ensure secure baseline configurations and access control mechanisms across corporate and cloud environments.
• Identify architectural risks and security gaps and drive mitigation strategies across infrastructure and cloud environments.
• Establish and enforce architecture review processes and governance for new systems and changes.
• Collaborate with SOC, Vulnerability Management, IT, and Infrastructure teams to improve overall security posture.
• Contribute to the cyber security strategy and roadmap, including adoption of modern models such as Zero Trust.

We expect you to have: 

• 7+ years of experience in cyber security, with a strong focus on network and cloud security.
• 2+ years of experience leading or managing security architects or senior security engineers.
• Deep expertise in enterprise network security (firewalls, segmentation, VPN, proxies, NAC, etc.).
• Strong hands-on experience with cloud platforms (AWS, GCP, Azure) and cloud security best practices.
• Strong understanding of identity and access management (IAM), Active Directory / Entra ID, and privileged access controls.
• Experience securing hybrid environments (on-premise + cloud).
• Hands-on experience with enterprise security technologies (e.g., Palo Alto, Check Point, Cisco, Zscaler, CrowdStrike, Microsoft Defender).
• Strong understanding of Zero Trust architecture principles.
• Experience working cross-functionally with IT, Infrastructure, Network, DevOps, and Security teams.
• Excellent analytical, problem-solving, and communication skills in English.

It will be an added bonus if you have: 

• Experience designing and implementing Zero Trust or network segmentation programs.
• Familiarity with cloud-native security tools (e.g., Wiz, Prisma Cloud, Defender for Cloud).
• Experience with enterprise identity platforms (Entra ID / Azure AD, Okta, etc.).
• Knowledge of regulatory and compliance frameworks (ISO 27001, SOC 2, NIST, etc.).
• Experience in large-scale enterprise or high-growth environments.
• Relevant certifications such as CISSP, CCSP, or equivalent.
• BSc in Computer Science, Information Security, or a related field.

The role

Nebius is looking for a an experienced SOC Manager to join the Cyber Security organization, reporting to the Head of Detection & Response under the CISO.

This role is responsible for leading the organization’s Security Operations Center (SOC), overseeing 24/7 monitoring, detection, and response activities across cloud, infrastructure, SaaS, and enterprise environments.

The ideal candidate is both operationally strong and strategically minded, with hands-on experience in security operations, incident response, and team leadership. You will drive continuous improvement of detection and response capabilities while ensuring effective collaboration with Security, DevOps, Infrastructure, and Engineering teams.

 You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

SOC Operations Leadership

• Lead and manage day-to-day SOC operations, including monitoring, detection, triage, and incident response.
• Oversee security alerts and incidents across SIEM, EDR/XDR, cloud security, and other detection platforms.
• Ensure timely and effective response to security incidents in accordance with defined SLAs and severity levels.
• Manage SOC analysts (internal or external), including task prioritization, shift coverage, performance, and professional development.

Incident Response & Handling

• Own the full incident response lifecycle: detection, analysis, containment, eradication, and recovery.
• Act as the primary escalation point for complex or high-severity security incidents.
• Coordinate cross-functional response efforts with Security, IT, DevOps, Infrastructure, and Engineering teams.
• Ensure proper documentation, incident tracking, and execution of post-incident reviews (lessons learned).

Detection, Monitoring & Improvement

• Continuously improve detection capabilities, including development and tuning of use cases and alerting rules.
• Reduce false positives while increasing detection coverage, accuracy, and operational efficiency.
• Drive onboarding of new log sources and security telemetry into SIEM and monitoring platforms.
• Promote automation and orchestration (SOAR) to improve response times and reduce manual effort.

Governance, KPIs & Reporting

• Define, track, and report on SOC KPIs such as MTTD, MTTR, alert volumes, and incident trends.
• Build and maintain dashboards and executive-level reporting for the CISO and senior leadership.
• Develop and maintain SOC playbooks, runbooks, and standard operating procedures.
• Support audits, compliance activities, and alignment with security frameworks and policies.

We expect you to have: 

• 5+ years of experience in cyber security operations, SOC, or incident response roles.
• 2+ years of experience managing or leading SOC teams (internal or MSSP).
• Hands-on experience with SIEM platforms (e.g., Splunk, Sentinel, QRadar) and EDR/XDR tools.
• Strong understanding of incident response processes and security operations workflows.
• Experience working in cloud environments (AWS, GCP, Azure) and modern infrastructure.
• Strong analytical and problem-solving skills with high attention to detail.
• Experience working cross-functionally with Security, DevOps, IT, and Engineering teams.

It will be an added bonus if you have: 

• Experience building or scaling SOC capabilities in a growing organization.
• Familiarity with SOAR platforms and security automation.
• Knowledge of threat intelligence and threat hunting methodologies.
• Experience working within a CISO organization or Security PMO.
• Familiarity with regulatory frameworks (ISO 27001, SOC 2, NIST, etc.).
• Background in SaaS, cloud-native environments, or large-scale enterprise systems.
• BSc in Computer Science, Information Security, or a related field.

About the Product 

Token Factory is focused on building a next-generation platform that enables companies to seamlessly integrate AI into their products and workflows. Our vision is to create a powerful, open, and scalable alternative for deploying and managing AI systems—making advanced AI infrastructure more accessible to both fast-growing startups and large enterprises. 

We work with a wide range of customers, from AI-first companies to established technology organisations, helping them run AI workloads reliably at scale. Our goal is to become a leading platform for high-performance AI inference, delivering predictable latency, strong reliability, and the ability to scale to meet demanding production needs. 

Customer feedback plays a central role in how we build—our development process is highly iterative and closely aligned with real-world use cases. 

 About the Team 

We are a fast-growing, distributed team of engineers and product professionals based primarily in Europe. The team brings together strong backend, frontend, product, and business expertise, with a shared focus on building impactful, scalable systems. 

While we initially started without deep specialisation in AI/ML, the team has rapidly grown into the  space—demonstrating strong ownership, curiosity, and the ability to tackle complex technical challenges. 

Technology & Environment 

Our work is deeply integrated with a broader cloud and infrastructure ecosystem. We primarily use Go and Python to build and scale backend systems and collaborate closely with teams focused on areas such as infrastructure, observability, billing, and AI research. 

The platform continues to evolve from a lightweight integration layer into a more comprehensive system, including custom infrastructure, optimisations, and deeper control over performance and reliability. 

What We’re Working On 

• Scaling distributed systems: Expanding our platform to handle significantly increased workloads while maintaining performance and reliability  

• Improving reliability: Enhancing system stability and uptime to meet enterprise-grade expectations  

• Optimising AI performance: Continuously adapting to new models, hardware, and runtime improvements  

• Expanding platform capabilities: Building beyond inference into broader AI infrastructure, including data pipelines, customization, and advanced usage features  

We expect you to have:

• 5+ years of professional software development experience.
• Strong software engineering skills (we mostly use Python and Go).
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing.
• Experience with developing web services.
• A commitment to maintaining extreme rigor in all job-related activities.

Nice to have:

• Previous experience working with language models or other similar NLP technologies.
• A track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment.
• Strong engineering skills, including experience in developing large distributed systems or high-load web services.
• Open-source projects that showcase your engineering prowess.

Why It’s Interesting 

This is an opportunity to work at the intersection of distributed systems, cloud infrastructure, and applied AI, tackling real-world scalability challenges and shaping how companies adopt AI in production environments. 

The role

Nebius is looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. You’re welcome to work in our office in Tel Aviv.

The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.

Your responsibilities will include: 

• Own end-to-end analytics for core operational processes.
• Define, build, and maintain company-level operational and business health KPIs.
• Translate ambiguous, cross-functional business questions into structured analytical frameworks.
• Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
• Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
• Connect data across systems and explain upstream and downstream business impact.
• Independently identify high-impact problems worth solving, not only respond to requests.
• Drive cross-functional analytical initiatives at a company-wide level.
• Present insights, trade-offs, and recommendations to senior leadership.
• Synthesize complex findings into concise executive-level narratives.
• Influence decisions and drive measurable impact based on data.
• Act as a central analytical partner across multiple business domains.
• Lead initiatives and move stakeholders forward without direct authority.

We expect you to have: 

• Experience as a Data Analyst, Business Analyst, or similar analytical role.
• 5+ years of experience in data or business analytics within operational or financial domains.
• Expert-level SQL skills, including complex joins, CTEs, window functions, and performance optimization.
• Experience working with ERP or operational systems data.
• Experience operating at both high-level strategic view and deep hands-on analytical execution.
• Experience leading cross-functional initiatives and influencing stakeholders without direct authority.
• Experience operating at a company-wide level, not only within a single function.
• Demonstrated ability to deliver measurable business impact such as cost reduction, efficiency gains, process improvements, or revenue optimization.
• Strong executive-level presentation and communication skills.
• Demonstrated ability to challenge assumptions and influence senior stakeholders using data.
• High ownership, independence, and strong execution mindset.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience with NetSuite or similar ERP systems.
• Experience with operational workflow or spend management tools.
• Experience with BI tools such as Looker, Tableau, or Power BI.
• Experience partnering with Finance or FP&A teams.
• Background in operational efficiency or cost optimization initiatives.

The role

Nebius is looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.

The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.

You’re welcome to work in our offices in Tel Aviv.

Your responsibilities will include: 

• Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
• Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom ,  tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
• Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
• Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
• Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
• Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
• Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
• Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

We expect you to have: 

• Experience as a data scientist working in production environments (5+ years).
• Experience with time series modeling and forecasting techniques.
• Experience building reliable data pipelines and working with large datasets.
• Experience with modern data science tools and ecosystems using Python (e.g., NumPy, Pandas, Scikit-learn, deep learning frameworks).
• Strong SQL skills and experience working with large datasets.
• Strong foundation in statistics and machine learning fundamentals.
• Background in Computer Science, Statistics, Mathematics, Industrial Engineering, Economics, or a related field (Master’s degree or equivalent).
• Demonstrated ability to take models from idea to production and ensure ongoing value.
• Demonstrated ability to apply structured thinking and robust evaluation in forecasting problems.
• Strong communication skills and ability to explain model outputs, uncertainty, and limitations.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

• Experience working in cloud environments (preferably Azure).
• Experience with MLOps tools and production model lifecycle management.
• Experience with workflow orchestration tools such as Apache Airflow.
• Familiarity with LLM-based systems (e.g., evaluation, RAG pipelines) in applied settings.

The role

Nebius is looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.

Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact—not experimentation.

You’re welcome to work in our office in Tel Aviv.

Your responsibilities will include: 

• LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
• Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
• Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
• Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
• Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
• Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
• Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.

We expect you to have: 

• Experience as a data scientist or applied ML practitioner (5+ years).
• Experience building and deploying LLM-based systems in production.
• Experience working in production environments with model monitoring and iteration.
• Experience with modern data science and ML ecosystems using Python.
• Experience working with large datasets and strong SQL skills.
• Understanding of LLM evaluation, prompt design, and system behavior.
• Strong foundation in statistics and machine learning fundamentals.
• Demonstrated ability to deliver production-grade AI systems end-to-end.
• Demonstrated ability to translate business needs into AI/ML solutions and communicate clearly.
• Working knowledge of spoken and written English.

It will be an added bonus if you have: 

•  Experience with RAG architectures and retrieval systems.
• Experience designing or working with agent-based workflows.
• Experience with MLOps tools and production ML systems.
• Experience working in cloud environments (preferably Azure).

Role Overview

Nebius is seeking a talented Senior Legal Counsel to join our dynamic legal team. In this role, you will support Nebius’ expanding operations across EMEA. You will work closely with our business development teams supporting global investment and M&A transactions, and in addition you will be handling other IL and MEA matters. All to support our fast global growth.

Key Responsibilities

• Draft, review advice and negotiate asset purchase agreements, investment transactions and mergers and acquisitions
• Draft, review advice and negotiate SaaS, Paas and IaaS/HaaS agreements
• Draft, review, advise, negotiate and manage a broad range of commercial agreements
• Draft, review, advise, negotiate on some labor related matters independently or with the aid of external counsels
• Coordinate and manage external counsel to ensure cost-effective, high-quality legal support
• Monitor specific regulatory developments affecting Nebius’ activities
• Collaborate with cross-functional teams to optimize processes and risk management
• Hands-on, diligent, and solution-oriented

Key Qualifications & Experience

• License to practice law in Israel and/or the US
• At about 7 years of relevant experience as a senior associate in a top-tier law firm or as an in-house legal counsel
• B from a top tier university
• Proven experience in the legal work on APAs, M&A transactions and investment transactions (for lead investor)
• Proven experience in supporting Hi Tech companies (in various stages of growth), in various aspects (from labor through corporate)
• Experience in technology agreements SaaS, PaaS and IaaS/HaaS agreements, SLAs T&Cs and the like
• Strong understanding of commercial and corporate law
• Able to work under short deadlines
• Excellent communication and contract negotiation skills in English
• Proactive, pragmatic, and business-oriented approach with the ability to work independently
• Understanding privacy and AI legislation and trends are an advantage

Competencies & Behavioral Traits

• Proactive problem-solving and ownership mindset
• Ability to collaborate across teams and cultures

The role

This role is for Nebius AI R&D, a team focused on applied research in AI. Examples of applied research that we have recently published include:

• applying reinforcement learning for agent training in long-context multi-turn scenarios
• dramatically scaling task data collection to power reinforcement learning for SWE agents
• building a decontaminated evaluation for SWE agents that is regularly updated
• investigating how test-time guided search can be used to build more powerful agents

The results often lead to collaboration with adjacent teams where our research findings are applied in practice.

We are currently looking for senior- and staff-level ML engineers to work on research in areas such as:

• Guided search and reinforcement learning for agentic systems
• Reinforcement learning for reasoning models
• Web-scale problem collection for training agents
• Efficient model distillation

Some examples of what your responsibilities might include are:

• Conducting experiments to figure out efficient ways to train a large language model on traces of interactions with various environments
• Exploring methods of guided generation and search in the trajectory space
• Coming up with ways to mine relevant data at web scale and figuring out efficient ways to use this data in model post-training
• Conducting experiments with different reinforcement learning configurations in verifiable domains
• Exploring methods to train AI agents on tasks with non-verifiable reward signals

We expect you to have:

• A profound understanding of theoretical foundations of machine learning and reinforcement learning
• Deep expertise in modern deep learning for language processing and generation
• Substantial experience with training large models on multiple computational nodes
• Strong software engineering skills (we mostly use python)
• Deep experience with modern deep learning frameworks (we use jax)
• Strong communication and leadership abilities
• Experience designing, executing, and analyzing machine learning experiments with proper statistical rigor
• Ability to formulate research questions, design experiments to test hypotheses, and draw meaningful conclusions from results
• Ability to document research findings clearly and contribute to technical publications or report

Nice to have:

• Experience with deep reinforcement learning for LLMs, including techniques such as reward modeling, DPO, PPO etc
• Familiarity with important ideas in LLM space, such as RoPE, ZeRO/FSDP, Flash Attention, quantization
• Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field Master’s or PhD preferred
• Track record of building and delivering products (not necessarily ML-related) in a dynamic startup-like environment
• Experience in engineering complex systems, such as large distributed data processing systems or high-load web services
• Open-source projects that showcase your engineering prowess
• Excellent command of the English language, alongside superior writing, articulation, and communication skills
• Proficiency in contemporary software engineering approaches, including CI/CD, version control and unit testing

About the role:

Token Factory is a part of  Nebius Cloud, one of the world’s largest GPU clouds, running tens of thousands of GPUs. We are building an inference platform that makes every kind of foundation model — text, vision, audio, and emerging multimodal architectures — fast, reliable, and effortless to deploy at massive scale.

Responsibilities:

• Develop and optimize low-level kernels and runtime components for AI inference 

• Improve performance of inference engines GPU platforms 

• Profile and debug system-level and hardware-level performance issues 

• Integrate support for new hardware architectures (Hopper, Blackwell, Rubin) 

• Collaborate with ML and backend teams to optimize end-to-end execution 

Required Qualifications:

• Strong proficiency in C++, OR expertise in GPU programming with a focus on low-level high-performance coding and memory management 

• Experience in GPU programming or systems-level software development, e.g. operating system internals, kernel modules, or device drivers 

• Hands-on experience with profiling and debugging tools to identify performance issues on both CPUs and GPUs, and the ability to optimize code based on those findings. 

• Solid understanding of CPU/GPU architecture and memory hierarchy 

Preferred Qualifications: 

• Experience with GPU computing programming: CUDA, ROCm, CUTLASS, Cute, ThunderKittens, Triton, Pallas, Mosaic GPU 

• Familiarity with ML inference runtimes (e.g. TensorRT, TVM) 

• Knowledge of Linux internals, drivers, or compiler toolchains 

• Experience with tools like perf, VTune, Nsight, or ROCm profiler 

• Familiarity with popular inference engines (e.g. such as vLLM, sglang, TGI) 

We conduct coding interviews as part of the process.