Jobs in Tel Aviv-Yafo

The world of payment processing is rapidly evolving, and businesses are looking for loyal and strategic partners, to help them grow. Meet Nuvei, the Canadian fintech company accelerating the business of clients around the world. Nuvei's modular, flexible and scalable technology allows leading companies to accept next-gen payments, offer all payout options and benefit from card issuing, banking, risk and fraud management services. Connecting businesses to their customers in more than 200 markets, with local acquiring in 50 markets, 150 currencies and 700 alternative payment methods, Nuvei provides the technology and insights for customers and partners to succeed locally and globally with one integration. At Nuvei, we live our core values, and we thrive on solving complex problems. We’re dedicated to continually improving our product and providing relentless customer service. We are always looking for exceptional talent to join us on the journey! Your Mission We are looking for a Director of Pricing & Monetization, who will be responsible for defining and executing the company's pricing strategy to maximize revenue growth, profitability, and market competitiveness. This leader will develop scalable pricing frameworks, design bundled product offerings, lead willingness-to-pay research, and establish a data-driven approach to pricing across products, industries, customer segments, and geographies. The role sits at the intersection of Commercial, Marketing, Finance, Data Analytics & Product, ensuring pricing decisions balance customer value, competitive positioning, profitability, and growth objectives. Responsibilities Pricing Framework Development • Design and maintain the company's enterprise-wide pricing framework. • Develop attribute-based pricing models across products, industries, geographies, customer segments, and risk profiles. • Establish pricing governance, policies, guardrails, and decision-making frameworks. • Create methodologies for standard pricing, exception pricing, strategic discounts, and deal approvals. • Define pricing architecture for new products and market launches. Bundling & Monetization Strategy • Design and implement bundled product and service offerings that maximize customer value and company profitability. • Identify opportunities to unbundle and re-bundle products to improve monetization and customer segmentation. • Develop packaging strategies across core products, value-added services, premium features, and subscriptions. • Partner with Product Management to create tiered "Good-Better-Best" pricing structures. • Measure bundle performance and continuously optimize package economics. Willingness-to-Pay & Customer Research • Lead willingness-to-pay studies and pricing research programs. • Develop segmentation models based on customer value perception and purchasing behavior. • Conduct customer interviews, surveys, conjoint analysis, Van Westendorp studies, and other pricing methodologies. • Identify pricing drivers by industry, customer size, region, and product category. • Translate customer insights into actionable pricing recommendations. Market & Competitive Intelligence • Build and maintain a competitive pricing intelligence program. • Monitor competitor pricing structures, packaging strategies, discounting practices, and market trends. • Conduct benchmarking analyses to evaluate pricing position versus competitors. • Identify emerging monetization strategies and disruptive pricing models. • Provide executive recommendations on pricing actions required to maintain market competitiveness. Pricing Analytics & Optimization • Develop pricing elasticity models and price-volume curves. • Establish analytical frameworks to measure profitability, margin performance, and pricing effectiveness. • Evaluate revenue impact of pricing changes before deployment. • Track pricing KPIs and identify opportunities for revenue optimization. • Support AI-driven and data-driven pricing initiatives. Cross-Functional Leadership • Partner closely with Product, Finance, Commercial, Revenue Operations, Marketing, and Data teams. • Influence product roadmap decisions through monetization insights. • Support executive leadership on strategic pricing investments and initiatives. • Lead pricing councils, governance forums, and strategic pricing reviews. • Manage and develop a high-performing pricing team. Qualifications • 8+ years of experience in Pricing, Strategy, Product Management, Revenue Management, Consulting, or Commercial Excellence. • 4+ years leading pricing strategy or monetization initiatives. • Demonstrated experience building pricing frameworks and governance models. • Strong background in market research and willingness-to-pay methodologies. • Experience designing pricing bundles, packaging strategies, and commercial offers. • Experience driving pricing transformations in complex organizations. Preferred Experience • Payments, fintech, SaaS, software, technology, telecommunications, financial services, or marketplace experience. • Experience with CPQ platforms, pricing systems, and revenue management tools. • Knowledge of advanced pricing analytics, AI-driven pricing, and revenue optimization. Benefits Specific benefits and details about what compensation is included in the salary range listed above will vary depending on the applicant’s location and can be discussed in more detail during the interview process. Nuvei is an equal-opportunity employer that celebrates collaboration and innovation and is committed to developing a diverse and inclusive workplace. The team at Nuvei is comprised of a wealth of talent, skill, and ambition. We believe that employees are happiest when they’re empowered to be their true, authentic selves. So, please come as you are. We can’t wait to meet you. Working Language • English (written and spoken) is the language used most of the time, as work colleagues, clients, and strategic suppliers are geographically dispersed. ****Our recruitment process may use automated tools, including AI, to support application management and candidate shortlisting. The annual salary range for this role in the Netherlands is EUR 123,000 - EUR 130,000 (gross). This range represents the expected starting salary for candidates hired into this role in the specified location. If the position is filled in a different location, a different salary range may apply due to objective factors such as local labor market conditions and cost of living. This salary range may be inclusive of several career levels at Nuvei and will be narrowed during the interview process based on a number of factors, including the candidate’s experience, qualifications, and specific location. Applicants not located in the primary location may request the annual salary range for their location during the interview process.

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. proteanTecs is looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership — you are equally comfortable reviewing a Terraform plan and running a team retrospective. Requirements Experience & Background • 5+ years of experience in DevOps, Site Reliability Engineering, or a related field. • 2+ years in a team lead, tech lead, or senior individual contributor role with mentorship responsibilities. • Proven track record of leading small-to-mid-size engineering teams in a fast-paced environment. Technical Skills • Strong hands-on expertise with Kubernetes, Helm, Terraform, and Terragrunt. • Deep experience with CI/CD tooling — GitHub Actions, ArgoCD, or equivalent. • Proficiency in at least one major cloud platform: AWS, Azure, or GCP. • Experience with monitoring and observability stacks: Prometheus, Grafana, ELK. • Solid scripting skills in Python and/or Bash. • Knowledge of container security, Vault, and infrastructure cost management. • Familiarity with Ansible, Docker, and networking/DNS fundamentals. Leadership & Soft Skills • Excellent communication skills — able to translate complex technical topics to non-technical stakeholders. • Strong organizational skills with the ability to manage competing priorities and deadlines. • A collaborative, people-first mindset with a focus on team success over individual contribution. • Comfort working across time zones and with distributed, international teams. • Proactive problem-solver with a continuous improvement and automation-first mindset. Nice to Have • Experience with large-scale SaaS or data-intensive environments. • Familiarity with Apache Flink, ElasticSearch, Vertica, or hybrid cloud deployments. • Exposure to Keycloak (OIDC), Tableau, or enterprise identity management. • Customer-facing or on-site deployment experience. Responsibilities Team Leadership & Management • Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement. • Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members. • Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals. • Act as the primary point of escalation for technical challenges within the team. • Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives. Technical Execution • Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD. • Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes. • Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity. • Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed. • Champion infrastructure security best practices, including secrets management (Vault) and container security. • Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks. Process & Governance • Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team. • Drive post-incident reviews and implement learnings to prevent recurrence. • Monitor infrastructure costs and propose optimization strategies to the DevOps Director. • Maintain and improve technical documentation, runbooks, and operational playbooks.

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. proteanTecs is looking for a C++ Senior Software Engineer to join the ride as we spearhead the next revolution in electronics! Requirements • Bachelor’s degree in Electrical, Computer, or Software Engineering, or Computer Science. • 7+ years of experience in software design and development in C++11/14/17 for edge devices / host machines. • Experience with build systems, scripts, and tools (e.g., CMake, Bash Scripts, Docker, GitHub Actions). • Strong foundation in programming: data structures, algorithms, version control, performance, and testing. • Attention to coding standards, including formatting, conventions, and documentation. • Excellent team player with strong communication skills. Preferred Qualifications: • Familiarity with multiple programming languages, such as Python, Java, and C#. • Knowledge of SQLite3 for database management. • Experience working closely with customers on software integration and debugging. • Past experience as a post-silicon test engineer working with Advantest or Teradyne automated test equipment. Responsibilities • Design and implement multi-architecture and cross-platform software solutions in C++ for Linux and Windows OS. • Maintain software application interfaces in Java, Python, and C#. • Contribute to the full life-cycle development, integration, and deployment of software solutions in advanced testing equipment. • Collaborate within a multidisciplinary team environment across scientific and engineering disciplines. • Conduct code reviews to enhance software engineering quality.

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. We are looking for a Senior Machine Learning Algorithm Engineer who is passionate about solving complex, real-world problems at the intersection of hardware and software. Location: Tel-Aviv in hybrid model. Requirements • B.Sc. in Electrical Engineering – MUST • 5+ years experience in algorithm development, preferably in complex, data-intensive environments • Deep expertise in Python, including statistical and machine learning packages • Proven experience across all algorithm development phases: research, implementation, testing, deployment, and debugging· Familiarity with testing frameworks (e.g., unit tests, E2E tests, performance and memory profiling) • Intensive usage of AI coding tools like Cursor or equivalent (e.g., GitHub Copilot, CodeWhisperer) Advantage • M.Sc. or higher in Electrical Engineering, Computer Science, or a related field • Prior experience with: • HW/SW integration or ATE/Chip testing • Version control systems (e.g., Git) and CI/CD tools • Distributed compute frameworks (e.g., Spark, MLRun) • Containerization and cloud orchestration (e.g., Kubernetes, cloud APIs) • Business intelligence tools (e.g., Tableau or equivalent) • AI platforms and agents that interface with model training, data annotation, performance monitoring, or autonomous debugging • Familiarity with chip production or design methodologies Responsibilities • Develop advanced ML algorithms using data from proteanTecs Agents embedded in silicon. Example domains include: • Lifetime predictions • Clustering and dimensionality reduction • Parametric modeling and screening • Time-series forecasting • Lead end-to-end algorithm lifecycle: ideation → research → POC → design → implementation → validation → deployment. • Collaborate closely with cross-functional teams and directly with customers to continuously refine and enhance deployed solutions. • Drive integration of AI-enhanced tools and intelligent pipelines into ML workflows.

Description Chips Talk, We Listen proteanTecs is a game-changing startup that's giving advanced electronics the power to report on their own health. In a digital world built for autonomous driving, cloud computing, and AI, we depend on computing systems daily. But how can we guarantee their safety, reliability and functionality? proteanTecs is the first-ever company to provide visibility into next-gen chips while they are operating, based on the power of on-chip monitoring, machine learning, and data analytics. Here at proteanTecs, you'll be part of a team that's unlocking deep insights to make electronics more reliable, efficient, and high-quality. We're trusted by industry leaders in data centers, automotive, communications, and consumer devices – we work with the world's largest and most notable companies in tech. Why proteanTecs is a great place to work: • Fast-paced and impactful: We're a mission-driven startup, so you'll tackle new challenges daily, wear many hats, and see your work directly influence the future of electronics. • Supportive company culture: Learn from the best. Our 200+ team members are experts in their field with a proven track record of success, and they're committed to fostering a collaborative and supportive work environment. • International presence: We're a multinational company with a diverse team across multiple locations around the globe. You'll collaborate on projects with international impact, gaining a global perspective of the tech industry. • Work with industry leaders: Our solutions are used by the biggest names in tech. You'll be part of the team creating the next generation of groundbreaking products. • Cutting-edge playground: We use the latest machine learning, platforms, and tools to push boundaries and achieve breakthroughs. • Real-world impact: Our work keeps data centers, cars, and other critical systems running smoothly. Your work will directly contribute to safer, more reliable electronics. • We are here for the win: Backed by industry veterans and leading investors, we offer a stable and secure work environment with plenty of room for growth. We are looking for a Senior Product Engineer to join a global team of a Product Engineers that own a technical success and customer satisfaction across multiple high-impact projects. This role is deeply rooted in data analytics; you’ll be working at the intersection of silicon, systems, and software to deliver high-value insights to customers. Requirements • B.Sc. or M.Sc. in Electrical Engineering or a related discipline. • 3+ years in IC/system product, test, or yield engineering, including deep post-silicon analytics experience. • Strong track record in data analysis and root-cause debugging at the system or silicon level. • Deep understanding of IC manufacturing, characterization, and qualification processes. • Excellent communication and interpersonal skills — especially in customer-facing situations. • Strong organizational and prioritization skills with a results-oriented mindset. • Fluency in English (written and verbal) is a must. Preferred Qualifications • Expertise in data analytics platforms (e.g., JMP, Python, or similar). • Experience in ATE test development or digital simulation tools (e.g., HSpice, PrimeTime)- advantage. • Background in silicon lifecycle management, reliability physics, or embedded monitoring. • Familiarity with cloud platforms or ML-based analytical solutions is a plus. Responsibilities • Performing post-silicon and system-level data analysis and providing insights on data extracted from post-silicon stages • Supporting customers with analytics platform problems solving and new features introduction • Drive integration of proteanTecs’ analytics platform within customer environments, bridging silicon, test, and system-level domains. • Collaborate with R&D and data science teams to develop, validate, and improve advanced analytics algorithms. • Troubleshoot complex silicon/system issues through data-driven insights. • Partner with internal stakeholders (design, software, product) to influence roadmap and execution. • Act as a technical proffesional in customer onboarding, support, and ongoing engagement.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. Director, Product Management – Continuous Threat Exposure Management (CTEM) About the Role: CrowdStrike's Proactive Security portfolio helps customers continuously find, prioritize, validate, and reduce risk across endpoint, cloud, identity, and network domains. We are seeking a Director of Product Management to own the product strategy for Continuous Threat Exposure Management (CTEM) across the Falcon platform. The Asset and Risk Platforms are the foundational data layer of this portfolio. They provides the canonical asset inventory, enrichment pipelines, and graph infrastructure behind Exposure Management, Vulnerability Management, Cloud Security, and Identity capabilities. As Director, you will be accountable for the Platform and for the capabilities built on it. You will lead a team of product managers, and act as the senior product voice for CTEM with executives, customers, partners, and industry analysts. You will work closely with Engineering, Data Science, Design, Product Marketing, Sales, and Customer Success to deliver a platform that is a durable competitive advantage. This role is hybrid, on-site at one of the posted locations. Candidates should be comfortable visiting the office twice a week once the development center is established. What You'll Do: • Define and own the multi-year CTEM strategy, vision, and portfolio roadmap, including the Asset and Risk Platform and adjacent Proactive Security capabilities • Lead, coach, and grow a team of product managers. Set clear expectations and hold the team accountable for outcomes. • Recruit and retain top product talent, build succession depth, and shape the team structure as the portfolio grows • Set investment priorities and make trade-offs across the portfolio. Align roadmaps, resourcing, and dependencies with engineering and product leadership across Proactive Security • Serve as an executive voice with enterprise customers, partners, and industry analysts (e.g., Gartner, Forrester, IDC). Represent CTEM in analyst evaluations and executive briefings. • Partner with Sales, Product Marketing, and Customer Success on positioning, packaging, pricing, and go-to-market for the CTEM portfolio • Define and track portfolio-level business and product metrics, such as adoption, retention, revenue impact, platform health, API usage, and data quality • Evaluate and drive build, buy, and partner decisions, including third-party integration strategy and ecosystem partnerships • Build a culture of customer obsession, data-driven decisions, and disciplined execution across the PM organization What You'll Need: • 10+ years of product management experience in cybersecurity, including 5+ years in Exposure Management, Vulnerability Management, Asset Management, Cloud Security, or closely related markets • 3+ years of people management experience leading product managers, including managing senior or principal-level ICs. Experience managing managers is a plus. • Track record of owning strategy and outcomes for a multi-product or platform portfolio, not a single product • Deep understanding of CTEM, CAASM, and attack surface management concepts, and of the challenges of consolidating asset and exposure data from heterogeneous sources • Strong domain experience with cloud technologies (AWS, Azure, GCP), cloud security concepts, and asset discovery and normalization at scale • Demonstrated ability to influence across a large, matrixed organization and align executive stakeholders without direct authority • Experience presenting to senior executives and engaging with customers and industry analysts • Excellent verbal and written communication skills, with the ability to translate complex platform concepts for executive, technical, and go-to-market audiences • Proven experience using AI technologies to improve decision-making, streamline workflows, and drive business outcomes. Experience shaping AI-native or agentic product experiences is strongly preferred. • BS degree in an applicable field; MBA or Master's preferred Bonus Points: • Experience with graph databases, data lakes, and modern data architectures relevant to security telemetry at scale • Experience with adversary emulation, breach and attack simulation, or exposure validation • Experience scaling a product organization through rapid growth or a reorganization Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance. Find out more about your rights as an applicant. CrowdStrike participates in the E-Verify program. Notice of E-Verify Participation Right to Work For detailed information about the U.S. benefits package, please click here.

As a global leader in cybersecurity, CrowdStrike protects the people, processes and technologies that drive modern organizations. Since 2011, our mission hasn’t changed — we’re here to stop breaches, and we’ve redefined modern security with the world’s most advanced AI-native platform. We work on large scale distributed systems, processing almost 3 trillion events per day and this traffic is growing daily. Our customers span all industries, and they count on CrowdStrike to keep their businesses running, their communities safe and their lives moving forward. We're proud to work for a mission-driven company leveraging AI to transform the way we work. CrowdStrikers drive their careers through flexibility and autonomy while also being expected to contribute to a culture of responsible AI adoption, experimentation, and innovation. We use an AI-first mindset as a force multiplier to proactively and continuously accelerate execution, build expertise, uncover insights, and solve complex problems. We’re always looking to add talented CrowdStrikers to the team who have limitless passion, a relentless focus on innovation and a fanatical commitment to our customers, our community and each other. Ready to join a mission that matters? The future of cybersecurity starts with you. Falcon Shield is an industry leader in the emerging SaaS Security Posture Management (SSPM) market. Our culture is defined by great people with deep knowledge, integrity and values. Join our team and be a part of revolutionizing the way we help enterprises secure their SaaS ecosystem! This role involves building and maintaining state-of-the-art, highly scalable backend systems that process customers' data, fetched from a variety of sources. These systems give our customers visibility and insight into their security posture, risks and gaps. We are an AI-native engineering team. Claude Code is part of how we design, build, review, ship and operate our systems every day. We don't just use it: we build our own skills, plugins and MCP integrations on top of it, so our production knowledge and engineering standards are available to every engineer and every agent. We're a highly collaborative, friendly, inclusive and diverse group that prizes collaboration over competition. We provide opportunities to learn new skills, mentor fellow engineers, and contribute to the direction of both the team and the products for which we're responsible. We work in a distributed, high-trust environment where you manage your own time and have the flexibility to balance your work and personal life. This is a Hybrid position open to candidates in the Israel area. What You'll Do: • Develop and maintain backend systems at high scale, with emphasis on efficiency and scalability. • Work in a fast-paced environment, with high trust and independence to manage your own time. • Take an active part in shaping the decisions about the products you are building, from the design stage, through building and optimizing, to deployment, maintenance and monitoring. • Use Claude Code as a core part of your workflow: planning features, writing and testing code, reviewing PRs, profiling and benchmarking, and investigating production issues across logs, metrics and data stores. • Build and evolve our internal AI tooling. That means Claude Code skills, plugins, MCP servers and project context that encode our architecture, conventions and operational know-how for the whole R&D org. • Own the quality of everything you ship, whether you or an agent wrote it. Review, verify and test AI-generated code to the same bar as your own. • Work closely in peer-to-peer fashion with members of other teams, like Product, Customer Success/Support and more. • Keep services up and running in a healthy state. Tech Stack: • Python, Django • MongoDB, ElasticSearch • DuckDB, Parquet / PyArrow • Cloud (GCP: Pub/Sub, Cloud Storage, BigQuery, KMS) • Kafka • Linux • Claude Code, including custom skills, plugins, MCP servers and hooks What You'll Need: • 4+ years of experience in development of backend cloud systems with a high-level language, 3+ years with Python. • Proven experience working on large systems and handling scaling issues. • Hands-on experience using AI coding agents (e.g. Claude Code, Cursor, Copilot) as part of your day-to-day development workflow. • Strong engineering judgment to direct AI agents effectively: breaking down problems, critically reviewing their output rather than accepting it as-is. • Proven experience utilizing AI technologies to enhance decision-making, streamline workflows and processes, improve efficiency and drive business outcomes. • Bachelor's degree or equivalent work experience. - Proficiency with common algorithms, data structures, code whiteboarding. Bonus Points: • Deep familiarity with Python internals. • Experience with MongoDB. • Experience with Parquet files / DuckDB. • Experience in microservice infrastructure. • Experience extending AI coding tools: writing Claude Code skills, subagents, hooks or plugins, or building MCP servers. • Experience with context engineering (CLAUDE.md files, specs, prompt design) or with builddebugging, code review or operations. Benefits of Working at CrowdStrike: • Market leader in compensation and equity awards • Comprehensive physical and mental wellness programs • Competitive vacation and holidays for recharge • Paid parental and adoption leaves • Professional development opportunities for all employees regardless of level or role • Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections • Vibrant office culture with world class amenities • Great Place to Work Certified™ across the globe CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy-related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions--including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay-offs, return from lay-off, terminations and social/recreational programs--on valid job requirements. If you need assistance accessing or reviewing the information on this website or need help submitting an application for employment or requesting an accommodation, please contact us at [email protected] for further assistance.

Make a meaningful difference to patients around the world. Driven by a passion to help patients live healthier and more productive lives, our Sales teams embrace Edwards Lifesciences’ values to build trusting, lasting relationships with medical professionals and industry partners. Your insight and dedication will help deepen and broaden clinical knowledge of our company’s innovative technologies, while creating connections between providers and teams across our businesses to ensure patients receive the highest quality of care. How you will make an impact: • Strategic Account Leadership – Manage strategic accounts and lead executive engagement (e.g. GPOs) • SHD Execution Anchor & Commercial Integrator: - Partner with Public Affairs team on institutional relationships, governmental engagement - Day-to-day Country Leader support in running strategic account processes and manage offerings to SHD accounts - Leader and/or coordinate engagement with national societies, patient associations, other national and sub-national parties, etc. • Owner for certain capabilities such as bids & tenders, local congress & events execution • Country LT Leadership – lead the CLT governance • Cultural Stewardship – local engagement, strengthen Edwards cultural cohesion across teams, ESG implementation, etc. • Leads a team of territory/account managers and/or sales managers to achieve their financial goals, in alignment with Edwards business strategy while identifying and interpreting market trends and implications, applying this knowledge to management of the team • Hires, develops and retains talent in the Edwards sales organization while leading and representing a BU across a region of moderate strategic impact • Drives commercialization of Edwards products and services across the region of moderate size What you’ll need: • Bachelor Degree or above • Experience developing and executing complex strategies at country level • Experience in conducting health economics, patient-reported outcomes, retrospective data analyses, epidemiology or health services research projects highly preferred • Experience developing pharma/health-economic models, either for publication or for interactive use with customers • Excellent problem-solving, organizational, analytical and critical thinking skills including high discretion/judgment in decision making • Excellent written and verbal communication skills and interpersonal relationship skills including negotiating and relationship management skills with ability to drive achievement of objectives • Ability to read, write and speak English and Hebrew • Recognized as an expert within sub-function(s) and/or area(s) and broader organization with broad-based expertise across area and related functions What else we look for: • Experience working in a regulated industry • Proven successful project management leadership skills • Proven expertise in Microsoft Office Suite and related tools and systems • Strict attention to detail • Ability to interact professionally with all organizational levels and proactively escalate issues to appropriate levels of management in the organization • Ability to work and excel within a fast paced, dynamic, and constantly changing work environment • Adhere to all company rules and requirements (e.g., pandemic protocols, Environmental Health & Safety rules) and take adequate control measures in preventing injuries to themselves and others as well as to the protection of environment and prevention of pollution under their span of influence/control

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are seeking an experienced Algorithm Team Lead - Optimization to lead our data science and data engineering efforts and oversee a team of skilled data engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products. The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions — like demand forecasts — to drive revenue management decisions that actually move the needle. At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through an optimization engine that simulates the market — weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies — to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything. You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team. Responsibilities: • Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure. • Design, build, and maintain distributed data processing workflows (batch & streaming). • Drive best practices for data quality, validation, testing, and observability. • Own and evolve Fetcherr’s data architecture in alignment with business and product goals. • Manage sprint planning, task breakdown, code reviews, and performance feedback for your team. • Contribute hands-on to key development tasks and architecture decisions. • Recruit, mentor, and grow the data science engineering team. Requirements • Proven experience as a Data Scientist. • Proven experience designing and maintaining large-scale data platforms (hundreds of TBs) • 3+ years of proven experience leading and managing a team of data engineers (people management is required) • 4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience • Expertise with data orchestration tools (Airflow, Prefect, or Dagster) • Cloud platform experience — GCP preferred (AWS/Azure acceptable) • Familiarity with Docker • Strong communication, mentorship, and collaboration skills • BSc/MSc in Mathematics/ physics/ statistics/ Computer Science. • Fluent English (spoken and written) Nice to have: • Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) • Background working with ML pipelines or data science teams • Understanding of data contracts, lineage, and versioning tools • Knowledge of data structures and algorithms • Experience optimizing pipelines and databases for performance and cost • CI/CD pipelines (GitHub/GitLab) • Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar) • Exposure to airline, pricing, or GDS systems

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. Fetcherr is scaling rapidly, and we are transforming our internal infrastructure into a high-velocity, self-service product. This is a senior opportunity to architect the future of our platform, setting the technical standard for how we deliver services while ensuring reliability and developer independence across diverse global markets. Responsabilities: • Self-service enablement: Build secure, automated pathways that accelerate development while keeping organizational standards intact. • Architectural modularization: Design Kubernetes-native abstractions — controllers and operators — and decouple infrastructure into independent service lifecycles that support rapid iteration. • Everything as code: Treat infrastructure, policy, and configuration with the same SDLC as application software — versioned, reviewed, tested, and CI-gated. • Proactive reliability: Own production through robust observability, clear SLOs, and high operational hygiene; define alerting that fires correctly and lead blameless postmortems that fix the system. Requirements • Strong GCP experience at production scale (GKE, IAM, networking, Cloud SQL/BigQuery). No compromise here. • Kubernetes-native mindset: declarative-first, comfortable with controllers and operators, and a platform-engineering instinct for self-service and separation of concerns. • Everything-as-code discipline: any code ships through a defined SDLC (versioned, reviewed, tested, CI-gated). Terraform (KCC a plus), Helm, GitOps (ArgoCD or similar) in your toolkit. • Software engineering background, or proven strong development ability in Go and/or Python — you write production code, not just glue scripts. • Security awareness baked into how you build: least-privilege IAM, secret hygiene, policy and supply-chain gates, not bolted on after. • Production-first mindset: you design for reliability, observability, and recoverability, and you own what you ship. Nice to have: • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security tooling. • SLO/error-budget practice and DORA-based delivery measurement. • Multicloud experience (AWS / Azure) — GCP is home, but breadth helps. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow). • A point of view on AI-assisted and spec-driven development.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model, a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data, not personal data, with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are looking for an Engineering Team Lead to lead the MLOps efforts - drive the development of an internal machine learning platform for a group of ML teams. This is a hands-on leadership role: you will guide a small team of MLOps engineers that builds the automation and infrastructure powering our research (R&D) workflows and runs our pipelines to production. You will take ownership of end-to-end initiatives and drive the team toward critical infrastructure and model-lifecycle milestones, while staying close enough to the code to set technical direction and raise the bar by example. You will be responsible for building and maintaining the models and data pipelines behind our data science workflows, ensuring the accuracy, consistency, and efficiency of the data used for training and inference, working across structured and unstructured data from many sources on a large-scale, distributed platform. Responsibilities: • Lead, mentor, and grow a team of MLOps engineers, owning delivery and technical quality. • Take end-to-end ownership of infrastructure and pipeline initiatives across the LMM group, from design through production. • Stay hands-on: contribute to design and code, review work, and set engineering standards. • Drive the team through critical milestones in ML model-lifecycle and infrastructure ownership. • Partner with R&D and other stakeholders to translate research needs into robust, scalable systems. • Help evolve the platform, including our ongoing migration from Dask to Ray. Requirements • BSc or Master's degree in Computer Science, Mathematics, or Engineering. • At least 5 years of commercial experience in Python. • At least 3 years of hands-on commercial MLOps experience in production (not side projects). • Experience managing or leading a team of engineers, with ownership of both people and delivery. • Hands-on experience owning the ML model lifecycle (training, deployment, monitoring, retraining). • Experience with pipeline orchestrators such as Dagster or Airflow. • Experience with a major cloud provider such as GCP, AWS, or Azure. • Experience with distributed computing systems. • Experience with Docker. • Experience with Kubernetes. • Commercial experience writing and maintaining scalable ML systems. • Fluent in English, both written and spoken. Nice to have: • Experience with Dagster (Advantage). • Experience with Dask or Ray (Advantage). • Experience with Spark, including implementing distributed algorithms in Python (Advantage). • Experience with traditional predictive, forecasting, or pricing-optimization ML systems (Advantage). • Experience in aviation, demand forecasting, or price optimization (Advantage). • Good understanding of data structures and algorithms (Advantage).

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Model group (LMM) is looking for a Director of Data Science to lead its production engineering, overseeing MLOps, ML engineering and Data engineering. The Director owns the end to end ML lifecycle of the market model, from the data pipelines that feed it, through model training and serving, and on to the monitoring that keeps it healthy once it is live in customer systems. Crucially, the Director is responsible for setting the roadmap across these functions, alongside LMM management and senior executives, and for turning it into work each function can execute. We are looking for a manager who has led high paced, AI first groups, and who has carried deliveries for systems running live in front of customers. RESPONSIBILITIES • Decide priorities across the functions with their leads, and review the technical trade-offs yourself. • Manage the leads who run these functions and hold each of them to what their team has committed to. • Stay close to production. Own delivery dates, reliability, and what happens when something breaks. • Own the infrastructure for model training, serving, and large scale data processing, including its cost. • Decide which numbers (KPIs) the group is measured on, then track them and report them. • Report the group's progress and risks to senior management, to product, and to the commercial teams. • Work with the applied research team to move their results into production. • Hire and keep senior engineers, and decide how the group is staffed. • Set the engineering standards the group works to: CI/CD, automated testing, observability, and model monitoring. Requirements You'll be a great fit if you have: • 8+ years in engineering, with 5+ years leading teams and managers. • Worked in a multi group environment, leading projects that involve inter group dependencies • Production experience with time series forecasting, reinforcement learning, or large scale optimization. • Experience setting the direction for a machine learning or data engineering group • Enough depth in production ML systems to review architecture decisions with your senior engineers. • Experience holding managers to delivery dates and to the numbers their teams are measured on. • Hands-on familiarity with Python, PyTorch, Google Cloud Platform (GCP), and orchestration frameworks such as Dask and Dagster. • A Bachelor's degree in Computer Science, Engineering, Mathematics, or a relevant field. • The ability to explain a technical decision to a commercial audience, and a commercial constraint to your engineers. NICE TO HAVE • An MSc or PhD in Computer Science, Machine Learning, Statistics, Engineering, or a relevant field. • Experience taking a machine learning platform from an early prototype to something a business runs on. • Experience in airlines, travel, revenue management, or dynamic pricing. • Familiarity with real time inference and high volume data processing. If you want to run the engineering group behind models that set real prices in real markets, we'd like to hear from you.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. We are seeking an experienced Data Science Team Lead to lead our data science and data engineering efforts and oversee a team of skilled data scientists & engineers. This role combines hands-on technical leadership and team management, with responsibilities that include building and scaling data infrastructure to power real-time pricing, large-scale data pipelines, and machine learning products. The Price Optimization (PO) team is where insights become decisions. We work with large-scale customer data and market predictions — like demand forecasts — to drive revenue management decisions that actually move the needle. At our core, we build and maintain the decision-making engine. That means designing the data pipelines that bring customer data in, and running it through a price optimization decision model that simulates the market — weighing competition, pricing constraints, inventory availability, predictive models, and each client's unique business policies — to generate the best possible price recommendations. As the final step before recommendations reach the client, quality, reliability, and attention to detail aren't just nice to have. They're everything. You will lead the team through architecture decisions, development, and deployment of mission-critical systems—while growing and mentoring a high-performing team. Responsibilities: • Manage a team of data scientists and data engineers responsible for building robust, scalable, and high-performance data pipelines and infrastructure. • Analyzing existing models and algorithms, researching for new approaches in price optimization. • Design, build and maintain distributed data processing workflows (batch & streaming). • Drive best practices for data quality, validation, testing, and observability. • Own and evolve Fetcherr’s data architecture in alignment with business and product goals. • Manage sprint planning, task breakdown, code reviews, and performance feedback for your team. • Contribute hands-on to key development tasks and architecture decisions. • Recruit, mentor, and grow the data science engineering team. Requirements • 3+ years of proven experience leading and managing a team of data science / data engineers (people management is required). • 4+ years of experience in data science, including a strong Python programming background, advanced SQL skills, and data modeling experience. • Proven experience designing and maintaining large-scale data platforms. • Expertise with data orchestration tools (Airflow, Prefect, or Dagster) • Cloud platform experience — GCP preferred (AWS/Azure acceptable) • Strong communication, mentorship, and collaboration skills • BSc/MSc in Mathematics/ physics/ statistics/ Computer Science. • Fluent English (spoken and written) Nice to have: • Experience with Google Cloud Platform tools (BigQuery, Dataflow, Pub/Sub) • Background working with ML pipelines or data science teams • Understanding of data contracts, lineage, and versioning tools • Knowledge of data structures and algorithms • Familiarity with Docker • Experience optimizing pipelines and databases for performance and cost • CI/CD pipelines (GitHub/GitLab) • Hands-on experience with distributed data frameworks (Apache Beam, Spark, or similar) • Exposure to airline, pricing, or GDS systems

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The Large Market Modeling (LMM) team is the engine underneath Fetcherr's pricing intelligence. We're the ones who actually build and train the models — taking a chaotic world of market signals, customer behavior, and competitive dynamics and turning them into reliable, production-ready demand models. Other teams at Fetcherr work with the models; we're the ones who bring them to life. Think of us as the team that teaches Fetcherr's AI how people buy — so it can always recommend the right price at the right moment. We are seeking a talented and self-driven experienced Data Scientist to help advance our machine learning capabilities.This is a key role for someone passionate about leveraging machine learning to solve complex, real-world problems and deliver measurable business impact. Responsibilities: • Develop and implement state-of-the-art econometric and machine learning models for demand forecasting. • Conduct research and experimentation to evaluate novel approaches for improving accuracy, robustness, and scalability. • Collaborate with cross-functional teams (including product, data engineering, MLOPS and Platform) to deploy ML systems in production. • Clearly communicate complex technical findings to non-technical stakeholders, including product leaders and executives. Requirements • 5+ years of hands-on experience in data science and machine learning with a proven record of leveraging modeling into business outcomes. • Proficiency in Python and its ML/data stack (e.g., PyTorch or TensorFlow, Pandas, NumPy, Scikit-learn). • Expertise in time-series forecasting, ideally Deep Learning based, preferably in demand prediction or related areas. • Feature engineering, feature importance testing, explainability based experience. • Master’s or PhD in Computer Science, Machine Learning, Statistics, Engineering or a relevant field. • Solid understanding of ML production workflows (versioning, testing, reproducibility, and deployment). • Excellent communication and collaboration skills. Nice to have: • Publications in top-tier, peer-reviewed ML/AI venues (e.g. ICLR, ICML, NIPS, etc.) • Experience applying ML in domains like finance, trading, revenue management etc. • Familiarity with cloud based solutions on GCP platform (e.g., Vertex AI, PubSub, Cloud Run Functions). • Strong data visualization and exploratory data analysis skills. • Familiarity with code optimization, containerization (e.g., Docker), CI/CD, or cloud-native architectures. • Participation in competitive programming or data science challenges (e.g., Kaggle). If you're excited about building impactful AI systems in a high-growth startup environment, and want to help redefine how industries price, forecast, and optimize, we’d love to hear from you.

Description Fetcherr builds responsible AI that transforms market complexity into measurable profit growth. At the core of the company is the Market Model - a proprietary AI-powered model delivering accurate, granular demand predictions with 96% forecast accuracy and real-time decision intelligence for commercial teams. Built on a glass-box architecture, it uses market data - not personal data - with full transparency into logic and outcomes. First deployed in global aviation, the technology is industry-agnostic and scales across volatile markets. Fetcherr delivers a consistent average profit uplift of 7%, with corporate partners including Delta, Virgin Atlantic, WestJet, Viva, and Azul. The opportunity Our rapid growth into new verticals and markets presents a fantastic opportunity to evolve our platform. We are building on our initial successes by transitioning to a highly scalable architecture that seamlessly supports our expanding customer base across diverse industries. It’s an engineering opportunity to turn a carefully operated platform into a Kubernetes-native, self-service product. The goal is to serve internal customers first and deliver at high velocity with safe, capable self-service solutions aligned with the best practices of platform engineering. It's a leadership opportunity in equal measure: you'll build and grow the team that owns it, and have an impact on how platform engineering is done here as the company scales. What you'll own • Self-Service Enablement: Empower cross-functional teams with secure, automated pathways that accelerate development while maintaining organizational standards. • Architectural Modularization: Evolve our infrastructure into a decoupled, scalable architecture that supports rapid iteration and independent service lifecycles. • Unified Infrastructure Management: Implement a rigorous "Everything as Code" strategy, treating infrastructure, policy, and configuration with the same standards as application software. • Proactive Reliability: Foster a culture of operational excellence through robust observability, clear Service Level Objectives, high operational hygiene and safety. What success looks like: • In 6 months: Lead the transformation to a self-service infrastructure platform. Target a 30% reduction in deployment lead times and a 50% increase in self-service adoption among R&D teams. Implement platform-wide observability and SLO monitoring to ensure 99.9% uptime for core services. • In 12 months: Evolve the Platform Engineering team into a high-scale, autonomous unit that sets the standard for engineering excellence. Define technical domain ownership for core infrastructure and scale the global team. Who you are as a leader: • Your job is to deliver value sustainably — at a pace the team can hold indefinitely, not a sprint to burnout. • You empower, you don't assign. You give people context and autonomy, hold them accountable, and speak less so they speak more. • You build a learning team — retrospectives that turn data into action, postmortems that find root cause without blame, and deliberate work on growing each engineer and killing the bus-factor-of-one. • "The how" is non-negotiable: tested, reviewed, observable, highly available, staging-first. "Done" means in production, serving customers. • You stay hands-on enough to earn technical trust and make hard calls. Requirements What you bring • A strong record in Platform Engineering / DevOps, with deep hands-on Kubernetes in production. • Proven experience leading engineers: mentoring, hiring, and growing a team • Strong cloud-native and Kubernetes-native mindset: you reach for declarative, GitOps, controllers, and abstraction before bespoke scripts. • Fluency in Python, Go, and Bash sufficient to build tooling and review your team's work. • Hands-on with multi cloud at production scale (GKE, Cloud SQL, BigQuery). • Fluency in Infrastructure as Code (Terraform, KCC), Helm, and GitOps delivery (ArgoCD or similar) and opinions on doing them well at scale. • A product mindset toward platform: you treat internal engineers as customers and self-service as the goal. • A point of view on AI-assisted and spec-driven development, and how to make engineers faster with it while keeping change safe to ship. • A culture of learning from failure: blameless postmortems, real root cause, and fixing the system so the same incident can't recur. Nice to have • Multi-cloud experience (AWS / Azure) — GCP is home, but breadth helps. • Policy-as-code (OPA/Conftest, Kyverno) and supply-chain/CI security. • SLO/error-budget practice and DORA-based delivery measurement. • Big Data or MLOps exposure (Airflow, Dagster, Ray, Kubeflow).

Description About Cyera Come join the company building the security operating model for the age of AI. AI has changed how data is used — and security must change with it. Cyera's mission is to empower businesses to accelerate AI Adoption by defining a holistic approach to securing AI - from data to access to model. Instead of perimeter controls and static policies, Cyera provides a unified control plane that understands relationships between data, access, and behaviors across humans, systems, and AI. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data and AI security. About the Role The Senior Technical Support Engineer provides product-focused technical resolution for issues that require deep investigation. This role owns complex troubleshooting within defined product domains, reproduces issues, validates workarounds, improves escalation quality, and helps reduce repeat issues through documentation and product feedback. What You'll Do • Master complex technical challenges: Deep-dive into modern enterprise architectures across AI security, data discovery, classification, DLP workflows, and access analysis to solve high-stakes technical issues. • Drive complete technical ownership: Take full command of Support Tickets from initial discovery to resolution, acting as the primary technical authority and trusted advisor for our customers. • Engineer automation and internal tools: Write scripts and build custom diagnostic utilities to eliminate manual troubleshooting steps, streamline investigations, and scale team performance. • Drive product impact and cross-functional synergy: Partner with Product, Engineering, DevOps, and OCTO teams to feed real-world operational insights into the roadmap, deliver high-fidelity root cause analyses, and ensure efficient resolution of systemic platform issues. • Elevate documentation and knowledge standards: Scale institutional capability by architecting reusable runbooks and technical guides, while maintaining rigorous case management standards to ensure records remain accurate, actionable, and auditable. • Pioneer AI-driven support: Integrate modern AI tools and agents directly into daily troubleshooting workflows, refining custom prompts to continually accelerate case resolution and elevate support efficiency. • Champion customer success: Serve as a high-impact advocate for clients, managing relationships and representing the company with confidence when communicating with technical teams and executive stakeholders. • Mentor and elevate the team: Actively mentor Tier-1 engineers on technical troubleshooting, ticket hygiene, and escalation protocols to build a high-performance support culture. Requirements Who You Are Must Have • Education: Bachelor's degree in Computer Science, Information Systems, Cybersecurity, Engineering, or a related technical field (or Associate degree with equivalent practical experience). • Experience: 5+ years in technical support, support engineering, escalation support, or customer-facing technical roles within SaaS or cybersecurity. • Scripting & Automation: Hands-on experience with scripting languages such as Python, Bash, or PowerShell • Domain Knowledge: Direct experience in data security or cloud domains, such as DSPM, IAM, SIEM, CASB, CNAPP, CSPM, data privacy, or DLP. • Cloud & Security Infrastructure: Hands-on experience supporting enterprise cloud platforms (AWS, Azure, or GCP) and identity/authentication protocols (SSO, SAML, OAuth, SCIM, RBAC). • Technical Troubleshooting: Strong ability to analyze logs, inspect APIs and web services, work with SQL, and write root-cause analysis (RCA) summaries and runbooks. • Tooling: Direct experience managing tickets and escalations in enterprise platforms like Zendesk, ServiceNow, Jira, or Salesforce. • Execution & Communication: Exceptional written and verbal communication skills to translate complex technical findings for both non-technical customers and R&D engineers. • Adaptability: Demonstrated ability to work autonomously in ambiguous scenarios and prioritize high-volume workloads based on SLAs, urgency, and customer impact. • Availability: Willingness to participate in a scheduled on-call rotation, including evenings, weekends, or holidays as business needs require.

Description WHO WE ARE Come join the company at the center of how the world adopts AI securely. Cyera’s mission is to give enterprises the confidence to embrace AI safely — deciding exactly what it can see and do as it reaches deeper into the business. We started by solving the hardest problem in data security: finding and securing data faster and more precisely than anyone thought possible. That foundation is now the essential AI trust infrastructure for the Fortune 1000. We’re hiring mission-driven talent to put those leaders at the center of our story. THE OPPORTUNITY As a high performing Sales Engineer or Senior Sales Engineer, you will work with our prospects and clients to craft enterprise-wide cloud data security and data risk management solutions. This is a consultative role with deep analytical and business process skill sets and the ability to create insightful solutions using Cyera’s technology. RESPONSIBILITIES: • Drive incremental revenue through large, complex sales opportunities that maximize Cyera’s capabilities and integrated value proposition • Identify client business issues and desired outcomes and architect an information availability solution that utilizes all of Cyera's products and services • Deliver, manage, and run proof of values (PoV’s) and Use Case Demos (UCD) on customer sites, consult with key executive stakeholders, and drive sales via technical demonstrations • Manage internal resources via cross-functional communication and support sales drive to build a sustainable, repeatable business model • Act as the technical point of contact for the growing Cyera partner channel and represent Cyera at marketing events Requirements • Previous Cloud, TDR, CASB, DLP or data security experience in a Sales Engineer, Solutions Architect, or similar technical sales role. • Strong knowledge in one of the three major cloud provider environments related to roles/permissions/API (AWS and/or Azure preferred). • Fundamental network & database experience. • Strong understanding of data storage types and basic understanding of encryption techniques and key management, cloud IAM, and network design/engineering/protocol. • Fundamental understanding of: ML/AI, Data Regulatory Frameworks, Privacy and Data Retention programs. • Excellent communication, presentation, and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical audiences. • Knowledge of SFDC and opportunity tracking. • Results-oriented mindset and desire to thrive in a hyper-growth startup environment • Strong problem-solving skills and the ability to think creatively to address customer challenges. • Ability to travel up to 50% within assigned territory. Desired Certifications (one or more with higher level being the most preferred): • AWS Certified Cloud Practitioner - Foundational or Microsoft Certified Azure Fundamental • AWS Solution Architect - Associate or Professional • AWS Cloud Security Engineer or Architect • Azure Administrator Associate • Azure Security Engineer Associate • Azure Solutions Architect • CCSP - Certified Cloud Security Professional Why Join Us?  At Cyera, we care about collaboration, innovation, and agility. We take “teamwork” seriously—with our inclusive and supportive culture at the forefront—and we’re just as serious about nurturing Cyerans to grow, both personally and professionally. Feel free to apply even if your experience doesn’t tick every box. We’re building something special here—and we welcome Cyerans with diverse backgrounds, perspectives, and experiences.

Description Empathy is on a mission to build a more resilient society one hard moment at a time, which is why we have built the leading platform for life's hardest moments. With AI plus human care, Empathy supports people through those times that are emotionally charged and logistically hard — from caregiving and leave support to legacy planning and loss support. We partner with life insurers, wealth firms, and banks to bring Empathy to their clients, policyholders, and advisors in the moments that matter most. Backed by top-tier investors including General Catalyst, Index Ventures, Adams Street, Aleph and Entreé Capital. We've raised over $160 million to date, including a $72 million Series C, to expand our impact and scale our mission worldwide. About the Team The Finance team at Empathy is a key driver of the company’s growth and operational stability. We ensure robust financial management, compliance, and accuracy across all global operations while serving as strategic partners to the business. In this role you will We are looking for a highly motivated, proactive, and curious Assistant Controller to join our Israel team. This is a classic accounting role with significant room for growth, hands-on learning, and career development. In this role, you will take ownership of core financial operations, monthly close processes, and complex accounting standard implementations. We are seeking someone with strong critical thinking skills, high ownership, and an innovative mindset - someone who proactively leverages AI tools and automation to optimize financial workflows, improve efficiency, and maximize impact. This position reports directly to the Director of Finance. Key Responsibilities • Lead and execute core close processes (Monthly, Quarterly & Year-End), including journal entries, detailed balance sheet reconciliations, reserves, and supporting schedules. • Apply deep technical knowledge of ASC 606 (Revenue Recognition), ASC 842 (Lease), fixed assets management, and prepaids/accruals. • Oversee AP processes, vendor payments tracking, and expense workflows to ensure timely and accurate execution. • Proactively identify opportunities to optimize accounting processes, leveraging AI and automation tools to increase efficiency and data accuracy. • Drive strategic accounting projects, such as system implementations, capitalization of intangible assets (capitalized software), and internal control enhancements. • Partner with Finance leadership on tracking key business metrics, financial analysis, and supporting data-driven business decisions. Requirements • CPA qualification (CPA certified) - Big 4 background required (Tech or US/IL Tax department background preferred). • Strong technical expertise in US GAAP. • High level of curiosity, ambition, and a "can-do" approach with strong attention to detail. • Critical thinker with strong problem-solving capabilities and high execution capability. • Tech-savvy mindset with an enthusiasm for using modern finance tools and AI technologies to streamline operations. • Fluent English and Hebrew (written and verbal). Nice to Have • Prior experience in a tech company or a global, fast-paced environment. • Experience with ERP systems and modern cloud-based finance tools.

Site Specialist II - Israel - Hybrid ICON is a global healthcare intelligence and clinical research organisation united by a mission to bring new medicines and treatments to patients faster. As a values-driven organisation, integrity, collaboration, agility, and inclusion are at the heart of how we work and interact with each other, customers, patients and suppliers. As a Site Specialist II at ICON, you will independently manage a range of site support activities, acting as a key operational contact for sites and contribute to efficient study start-up and maintenance. What You Will Do: You will take responsibility for site management and operations deliverables, applying your skills to ensure quality and efficiency. Key responsibilities include: • Coordinating site-level document collection, review, and maintenance, ensuring accuracy and compliance for assigned sites or studies. • Acting as an operational liaison for site staff on documentation, systems, and process-related questions. • Maintaining up-to-date site status, metrics, and key milestones in clinical trial management tools. • Supporting planning and logistics for site meetings, investigator meetings, and monitoring visits. • Identifying opportunities to streamline site workflows and contributing to process improvement initiatives. • Providing guidance to Site Specialist I or junior colleagues, sharing best practices and supporting their development. Your Profile: You will bring relevant site management and operations experience, along with the following qualifications and skills. Required qualifications and experience: • Bachelor's degree in life sciences, healthcare, business, or a related field, or equivalent clinical research experience. • Relevant experience in site support, clinical administration, or similar roles within CRO, pharma, or healthcare. • Prior experience and background in local regulation and ethics • Good understanding of clinical trial processes, GCP, and site documentation requirements. • Exposure to contracts is preferential • Strong organisational and problem-solving skills, with the ability to manage multiple sites and priorities. • Excellent communication and interpersonal skills, with a proactive, service-focused mindset. • Comfort working independently while collaborating effectively with cross-functional teams. Employment with ICON is contingent upon having the legal right to work in the country where the role is based. Rewards & Benefits ICON offers a competitive and comprehensive total rewards package designed to support your health, wellbeing, and career development. Benefits may include: • Competitive base salary and performance related incentives • Health and wellbeing programmes including medical, dental, and vision coverage where applicable • Retirement and pension plans • Life assurance and disability coverage • Employee assistance programmes and wellbeing resources • Learning and development opportunities through structured training and career pathways Benefits may vary depending on role and location. Visit our careers site to read more about the benefits ICON offers. Inclusion and Accessibility ICON is an equal opportunity employer. We are committed to building an inclusive and accessible workplace where everyone feels valued and supported. If you require reasonable accommodations during the recruitment process, please let us know or submit a request here. Are you a current ICON Employee? Please click here to apply

JLL empowers you to shape a brighter way. Our people at JLL are shaping the future of real estate for a better world by combining world class services, advisory and technology for our clients. We are committed to hiring the best, most talented people and empowering them to thrive, grow meaningful careers and to find a place where they belong. Whether you’ve got deep experience in commercial real estate, skilled trades or technology, or you’re looking to apply your relevant experience to a new industry, join our team as we help shape a brighter way forward. Senior Data Scientist (Hybrid) – Tel Aviv About us JLL (NYSE: JLL) is a Fortune 200 company and a global leader in commercial real estate. We are a $20B+ business with over 100,000 employees worldwide and the stability and resources to invest seriously in AI. Under our Accelerate 2030 strategy, data and AI are the core pillars of how the company will operate and grow. The Tel Aviv technology hub is at the center of that effort. We design, build, and operate production-grade AI systems that shape how decisions are made across JLL's diverse businesses. The position We are looking for a Senior Data Scientist to join the Enterprise Data Science Group — an outstanding data scientist who thrives on complex problems that require critical thinking and rigorous evaluation, the kind that can’t be solved out of the box with vibe coding. You’ll code solutions end-to-end and shape how machine learning and AI drive business value at scale. You'll work across the full stack: dozens of data sources, billions of data points, closed and open-weight LLMs, fine-tuning LLMs, agentic workflows, and multiple cloud environments. Most of your projects go past research and into production, where the rest of the business depends on them. Representative projects: • GenAI-based entity resolution, linking companies and properties across dozens of sources using custom embeddings, LLMs at scale, fine-tuning, and clustering. • AI-generated global company taxonomies that rival purchased third-party solutions, across millions of companies and their domestic and global hierarchies. • Agentic, LLM-based, and ML-driven recommender systems for driving cross-sell and up-sell across our businesses. • Forecasting commercial lease rent dynamics and market trends from millions of leases and JLL's global transaction data. • Agents and MCP servers that put our research and data to work, plus exploratory tracks on tabular and time-series foundation models, multi-agent pipelines, reinforcement learning, and novel evaluation. We are looking for • 5+ years of industry experience, with original research and/or ML/AI solutions deployed in production. • Sound judgment in choosing the approach for the situation: when to use frontier model APIs, fine-tuned open-weight models, agentic workflows, classical ML, etc. • Strong foundations in ML and statistics. • A solid understanding of transformers and LLM internals, from attention, tokenization, and embeddings to how models are post-trained and served. • A rigorous evaluation mindset across classical and non-deterministic systems: error analysis, benchmark creation and ground-truth design, LLM-as-judge with human calibration. • Hands-on experience with agentic systems: tools and MCP design, RAG, multi-agent orchestration, and context engineering. • An MSc (PhD an advantage) in computer science, mathematics, or another quantitative field, or equivalent experience. Ways to stand out • Experience post-training open-weight models (e.g. Llama/Qwen-class): SFT, preference optimization and RL (DPO, GRPO, RLVR), LoRA vs. full fine-tuning, and synthetic data curation. • Hands-on experience scaling LLMs in training and inference: distributed training (FSDP, DeepSpeed), high-throughput serving (vLLM, SGLang), quantization (FP8/INT4), and KV-cache optimization. • Engineering with data at scale: pipelines, production deployment, and owning cost, latency, and monitoring in the cloud. • A public research footprint including publications, technical blogs, or conference talks. We're a tight-knit team of about 20 with a strong, fun, collaborative culture and a positive atmosphere, hybrid from our newly renovated Tel Aviv headquarters, a homelike space with team breakfasts and an on-site gym. We offer highly competitive compensation and benefits, including private health insurance. Location: On-site –TEL AVIV, ISR If this job description resonates with you, we encourage you to apply even if you don’t meet all of the requirements. We’re interested in getting to know you and what you bring to the table! At JLL, we harness the power of artificial intelligence (AI) to efficiently accelerate meaningful connections between candidates and opportunities. Using AI capabilities, we analyze your application for relevant skills, experiences, and qualifications to generate valuable insights about how your unique profile aligns with the specific requirements of the role you're pursuing. JLL Privacy Notice Jones Lang LaSalle (JLL), together with its subsidiaries and affiliates, is a leading global provider of real estate and investment management services. We take our responsibility to protect the personal information provided to us seriously. Generally the personal information we collect from you are for the purposes of processing in connection with JLL’s recruitment process. We endeavour to keep your personal information secure with appropriate level of security and keep for as long as we need it for legitimate business or legal reasons. We will then delete it safely and securely. For more information about how JLL processes your personal data, please view our Candidate Privacy Statement. For additional details please see our career site pages for each country. Jones Lang LaSalle (“JLL”) is an Equal Opportunity Employer and is committed to working with and providing reasonable accommodations to individuals with disabilities. If you need a reasonable accommodation because of a disability for any part of the employment process – including the online application and/or overall selection process – you may email us at [email protected]. This email is only to request an accommodation. Please direct any other general recruiting inquiries to our Contact Us page > I want to work for JLL.