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We are looking for talented students/engineers to help us develop the semiconductor platform which is based on revolutionary architecture. Take part in the development of cutting edge products within disruptive system architecture. Youll have the opportunity to work on the technologies that power the worlds largest Cloud provider, within a dynamic, open, and fast-paced environment. Our Web Services provides a highly reliable, scalable, low-cost infrastructure platform in the cloud that powers hundreds of thousands of businesses in 190 countries around the world. Become part of the group which is responsible for development of essential components for networking and storage functionality in the biggest cloud in the world (AWS).

Learn and influence how the cloud works "behind the curtain" today and be part of the innovation that defines how it will look tomorrow - make if more secure, faster and robust. This challenging and interesting job will allow you to contribute into different domains which include embedded development, host stacks and internal services. Get involved in using of cutting edge technologies in both kernel and user space. Being part of Annapurna's SW group will help to establish connections with many other AWS groups and contribute on a company wide scale.

We are looking for a Senior Product Manager to lead this evolution - building scalable, accurate, and context-aware classification capabilities.
At our company, we protect data from the inside out - helping organizations understand where sensitive data exists, who can access it, and how it is used.
Data classification is at the core of this mission. It is evolving from traditional detection into a more advanced, AI-driven capability that enables deeper understanding across structured and unstructured data.
Responsibilities
Own the product lifecycle end-to-end: strategy, roadmap, delivery, and launch
Define and drive the vision for data classification and data understanding
Gather and prioritize requirements through customer and market insights
Work closely with Engineering, Data Science, Sales, and other stakeholders
Focus areas
Evolve classification from pattern-based detection to AI-enhanced capabilities
Balance accuracy, performance, scalability, cost, and privacy
Translate complex data behavior into simple, usable product features
Improve classification quality and coverage across large-scale environments.

We're seeking a Senior Application Security Engineer who comes from a genuine software engineering background - someone who has designed, written, shipped, and maintained production code and then moved into security (or wants to formalize that move). You'll join the CISO organization as the security backbone of our R&D engine: owning the Secure SDLC end-to-end, embedding security into every stage of development, and partnering with R&D, DevOps, Architecture, and Product so that every line of code and every feature we ship - including our AI capabilities - meets the highest security standards.

This is a high-impact, hands-on role reporting directly to the CISO, with a clear growth path to AppSec Lead and exposure to GRC, cloud, and AI security.

What Youll Do

Secure SDLC & Application Security

Own and continuously evolve Secure SDLC (SSDLC), integrating security gates from design to deployment.
Lead threat modeling (STRIDE / PASTA / attack trees) for new features, architectural changes, and AI components.
Perform and oversee secure code reviews, design reviews, and security architecture reviews - and pair directly with developers on remediation, reference fixes, and reusable secure patterns / "paved-road" libraries.
Manage and operate the SAST, DAST, IAST, SCA, and secret-scanning stack; tune rules, triage findings, drive remediation, and reduce noise.
Define and enforce AppSec policies, secure-coding guidelines, and standards aligned with OWASP Top 10, ASVS, and SAMM.
Software supply-chain security: SBOM generation/analysis, open-source component risk, and dependency hygiene across R&D.

We seek an analytically driven and strategic Revenue Operations Manager to join our team. This role will be a critical partner to our C-level executives and revenue-focused leaders, leveraging data to identify growth opportunities, optimize processes, and drive actionable insights that enhance the customer journey and revenue performance.

Key Responsibilities:

Data-Driven Insights & Analytics

Serve as a trusted advisor to C-level executives, delivering regular, actionable insights based on in-depth analysis of key revenue, customer, and operational data.
Develop and maintain revenue forecasting models and predictive analytics to proactively identify opportunities, risks, and trends.
Analyze customer behavior, pipeline performance, and market data to recommend growth and operational improvement strategies.
Create and maintain dashboards and reports that provide visibility into KPIs covering the revenue funnel as well as customer-focused metrics such as churn, retention, and upsell opportunities.

We are looking for an experienced Cyber Security Architect (CISO Department) to join our Security Architecture team and help design, review, and guide the implementation of security controls across the organization.
The Cyber Security Architect will work closely with Security, IT, Engineering, Cloud, DevOps, Infrastructure, and business stakeholders to ensure that systems, applications, cloud services, SaaS platforms, and internal processes are designed and operated securely.
This role requires a strong combination of technical depth, risk-based thinking, practical security judgment, and the ability to translate security requirements into scalable architecture and actionable guidance.
Key Responsibilities:
Security Architecture & Risk Advisory
Design and review security architecture across enterprise systems, applications, cloud environments, SaaS platforms, infrastructure, and third-party integrations.
Define security requirements and assess architecture (including data flows, authentication models, network connectivity, APIs, and integrations) for new technologies, projects, and business initiatives.
Perform technical security reviews of systems, tools, vendors, and integrations, identifying gaps and providing practical, risk-based recommendations.
Clearly communicate security risks, business impact, and mitigation strategies to technical and non-technical stakeholders.
Act as a trusted security advisor to IT, Engineering, DevOps, Product, and business teams, balancing risk reduction with business enablement.
Identity, Access & Zero Trust
Define and improve identity and access control architecture across enterprise systems, cloud services, SaaS platforms, and internal applications.
Support implementation and improvement of controls such as SSO, MFA, conditional access, device posture, privileged access management, RBAC, and access governance.
Review authentication and authorization models for internal and external-facing applications.
Help drive Zero Trust initiatives across users, devices, applications, networks, and data.
Security Standards, Patterns & Governance
Contribute to policies and procedures related to data protection, AI usage, and secure development.
Document architecture decisions, exceptions, risks, compensating controls, and approved security patterns.
Support continuous improvement of security architecture processes, documentation, and intake workflows.
Partner with Governance, Risk & Compliance, Legal, Privacy, and Procurement teams as needed.
Security Operations & Detection Enablement
Ensure systems are designed with appropriate security logging, SIEM integration, and visibility requirements to support SOC monitoring and incident response.
Work with SOC, Detection Engineering, EDR/XDR, SIEM, and Incident Response teams to embed visibility and response requirements into architecture.
Support investigations and post-incident reviews when architecture improvements or control enhancements are required.

As organizations rapidly adopt AI assistants, copilots, agents, and autonomous workflows, they face new risks that traditional security tools cant address. we are building the industrys first fully autonomous Data Security Platform and defining the emerging category of AI Security. Were looking for an exceptional Product Manager to help build the next generation of AI Security products - identifying emerging challenges, shaping product strategy in a rapidly evolving market, and working with customers, CISOs, engineers, researchers, and executives to guide how enterprises securely adopt AI at scale.
If youre passionate about AI and experienced in building security products, this is your chance to influence a category thats only beginning to take shape.
How We Build Products
Our team operates differently:
Customer obsessed, not customer informed
Think in bets, not specs
Say no to protect yes
Urgency as default - fail fast, iterate
Own the interfaces
Be a product builder, not a roadmap manager
Responsibilities
Define and own product vision, strategy, and roadmap for AI Security
Drive products from concept through launch and adoption
Partner with engineering, data science, security research, and design
Work directly with customers, CISOs, analysts, and industry leaders
Translate customer needs, risks, and market insights into differentiated capabilities
Evaluate emerging AI technologies and turn innovation into customer value
Influence product and company strategy in a fast‑growing cybersecurity domain.

The role supports the Accounts Payable (AP) by ensuring accurate invoice processing, efficient payment execution, and reliable cash monitoring. The position works closely with internal teams to maintain smooth financial operations and contributes to the monthly closing process.
Key Responsibilities
Accounts Payable Operations
Manage the AP inbox to ensure timely receipt, review, and processing of invoices
Upload and process invoices in accordance with internal procedures
Handle vendor setup and maintain vendor master data
Coordinate internally to resolve invoice and processing issues
Payments Processing
Execute global payments across multiple methods (ACH, wire transfers, SEPA, SWIFT)
Ensure accuracy, compliance, and timely execution of all payment runs
Bank Reconciliation & Cash Monitoring
Record and reconcile daily and weekly bank transactions
Monitor cash movements and support cash tracking processes
Ensure alignment between bank activity and accounting records
Month-End Close Support
Assist in the preparation of monthly close packages
Post journal entries and accruals
Support variance analysis and review of financial data.

We are looking for a highly skilled and relationship-driven Junior Partner Technical Account Manager (TAM) to serve as the dedicated technical liaison for our premier Israeli partner, Consist.

What You'll Do

Sole Technical Point of Contact: Serve as the exclusive technical escalation point and strategic advisor for the Consist team, managing all complex issues, technical inquiries, and high-priority roadblocks.
Master of Customer Infrastructure: Develop a comprehensive understanding of the diverse architectures, IT environments, and unique business needs across Consists portfolio of 500+ end-customers.
Internal Advocacy & Prioritization: Serve as the voice of Consist and their customers . Liaise directly with our R&D and Product teams to push for faster prioritization of critical bug fixes, escalate pressing issues, and champion necessary feature requests.
Implementation & Best Practices: Guide the Consist team on best practices for Spaces and Copilot implementations. Proactively identify ways to optimize configurations, streamline deployments, and ensure their customers are extracting maximum value from our platform.
Strategic Engagements: Conduct regular syncs and technical workshops with the Consist team. Additionally, participate in joint meetings alongside Consist with their key end-customers to provide high-level architectural guidance and executive technical support.
Enablement & Knowledge Transfer: Empower Consist's L1 support and technical teams by sharing advanced troubleshooting techniques, product updates, and roadmap insights to help them serve their customers more effectively.

Perform intercompany billing calculations and support the quarterly close process across multiple legal entities within the Amdocs group.
Prepare quarterly analyses, reconciliations, and supporting schedules to ensure accurate reporting of intercompany billing and tax-related balances.
Act as a professional focal point for intercompany billing and corporate accounting tax matters, supporting internal stakeholders and helping drive consistent processes across the group.
Work closely with finance teams across Amdocs group legal entities to collect, review, and analyze tax data and ensure timely quarterly reporting.
Provide ongoing support to maintain strong financial processes and controls, and serve as a reliable accounting partner for corporate tax and intercompany billing topics.

We are seeking a highly skilled and experienced Security GRC Specialist to join our team. This position reports directly to the GRC Manager, as part of the CISO group. The ideal candidate should have a strong background in GRC, with a proven track record of successfully implementing GRC programs. This role requires a diligent professional who thrives in a fast-paced environment and can manage multiple priorities while maintaining attention to detail.
Key Responsibilities:
Develop, implement, and maintain GRC frameworks, policies, and procedures.
Manage ISO 27001/ISO27017/ISO27018 compliance by conducting gap analyses, maintaining ISMS documentation, and coordinating audits to ensure ongoing certification.
Respond to customer due diligence requests and support the review of security and compliance clauses in customer and vendor contracts,
Conduct third-party risk assessments and identify potential security threats and vulnerabilities.
Manage and maintain the GRC platform to ensure accurate compliance monitoring, documentation, and audit support
Collaborate with cross-functional teams to integrate GRC initiatives into business processes.
Provide guidance and support to internal stakeholders on GRC-related matters.
Stay up to date with industry trends and emerging threats to continuously improve the GRC program.

we're looking for has probably led a repositioning. Has built a messaging framework that held up under pressure from Sales and Product. Has grown people who went on to lead their own functions. And is already thinking about how AI changes what a content team can produce, and what it takes to make that output trustworthy.

One thing worth knowing: this team owns the content infrastructure that feeds AI-powered marketing engine. In a world where AI generates content at scale, the quality of the inputs determines the quality of everything downstream. That's not a technical problem; it's a leadership and editorial one. And it sits with you.

What you'll do

Own messaging framework, which is the single source of truth for how the company talks about what it does and why it matters.
Build and maintain persona-level, product-level, and industry-level positioning that holds up in the field, including in a sales conversation, an analyst briefing, a paid campaign, or a press interview.
Translate product releases, market shifts, and competitive moves into messaging updates that reach every function fast.
Own brand identity: visual standards, tone of voice, brand book, asset templates, and 10x our creative output.
Own the communications and PR strategy, specifically how shows up in press, analyst relations, and industry conversations.
Activate these narratives across every channel, in collaboration with Growth, to drive pipeline and brand awareness.
Grow and nurture your team, empowering them to achieve their targets and career goals.
Operationalize AI across every key content, creative, and GTM process.

our company MDR delivers 24x7x365 managed detection and response services, protecting customer data through advanced detection, investigation, and response at scale.
We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.

Financial planning and analysis to ensure accurate recording and enable decision-making, measurements, budget control and ongoing monitoring. With advanced data analysis capabilities

What will your job look like?
Collecting data from all relevant partners and reflecting financial data in the system and analyzing financial data, perform multiple scenarios, build models and identify trends
Extract major insights and conclusions from the analysis
Provide relevant key partners with main takeaways and recommendations
Supporting the business in decision making
Drive automation of day-to-day work processes and apply AI-oriented thinking to improve efficiency, scalability, and decision-making across existing workflows.

The MLIL DataPlane team is looking for a Software Development Engineer to own the design and implementation of our inference data plane. We build the software that makes large models run efficiently on custom hardware - spanning model execution, memory management, data movement, and serving integration.
Our work covers the full inference path: integrating serving engines with custom hardware, developing high-performance compute kernels, enabling efficient data movement, and driving models from early validation through production. We operate at frontier scale with large distributed models.
This is a ground-up effort with rapidly evolving hardware and software. We are looking for an IC who can write and optimize low-level code for custom hardware, validate model architectures end-to-end, build test and profiling infrastructure, and drive performance across the stack.

Key job responsibilities
- Develop and optimize compute kernels for a custom ML accelerator architecture, targeting production-level performance for large language model inference.
- Implement and validate LLM architectures (decoder-only, mixture-of-experts) end-to-end - from PyTorch model definition through distributed execution on custom hardware.
- Integrate custom accelerator backends into open-source ML serving frameworks (vLLM, PyTorch), including scheduler extensions, memory management, and model parallelism.
- Build and maintain test infrastructure for model correctness validation across CPU, GPU, simulator, and hardware targets.
- Profile and optimize inference workloads - identify bottlenecks, instrument critical paths, and drive latency and throughput improvements from simulation through hardware bringup.
- Own features end-to-end: from design through implementation, testing, and integration into the broader software stack.
- Contribute to CI/CD pipelines that gate model and kernel changes on correctness and performance regressions.