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We are seeking an experienced Security Engineering Lead to join the Cyber Security organization, reporting to the Corporate Security Engineering Manager under the CISO.

This is a senior technical lead role focusing on engineering and execution without direct people management responsibilities. This role combines hands-on security engineering to deliver end-to-end protection across corporate, cloud, and SaaS environments. You will not only define strategy and standards - you will build, configure, tune, and operate the technical controls that enforce them.

You will be responsible for implementing, managing, integrating and maintaining security systems across the organizations IT landscape. The role requires deep technical proficiency in multiple platforms and tools, combined with the ability to collaborate with Security, IT, Engineering, Product, GRC and other business units to reduce risks and embed strong security practices.

Your responsibilities will include:

Engineer, deploy, and continuously tune systems such as Identity & Access, Threat Detection & Response, Cloud & Network Security.
Define, enforce and maintain security policies & configurations across endpoints, email, SaaS, network, and cloud platforms.
Design and implement solutions to gain continuous visibility into systems and processes, sensitive data, data flows, misconfigurations, and exposure risks across cloud and multi-cloud environments.
Monitor, triage, and investigate security alerts and risks, collaborating with Security, IT, Network teams on escalation and remediation.
Conduct risk assessments and identify gaps in security controls across systems, pipelines, and business processes.
Support compliance and regulatory requirements (e.g., GDPR, ISO 27001, SOC 2) related to security and privacy.
Collaborate with Engineering, IT, Product, and GRC teams to embed security controls into systems, and workflows.
Maintain documentation, runbooks, and guidelines for operations, security posture management, and security practices.

The Security Operations & Coordination Manager serves as the operational backbone of the Security Operations function, ensuring the seamless planning, coordination, execution, and oversight of all departmental activities.
This role is responsible for translating strategic operational objectives into executable plans, coordinating resources, managing vendors, maintaining operational readiness, and supporting leadership throughout every phase of an operation.
Acting as the central coordination point between headquarters, field personnel, vendors, executives, and external stakeholders, the position ensures that every operation is fully prepared, efficiently managed, and supported in real time while maintaining the highest standards of confidentiality, professionalism, and operational excellence.

Your responsibilities will include:

Lead the operational planning and coordination of all security activities prior to execution, ensuring readiness across personnel, logistics, vendors, and supporting functions.
Coordinate operational plans, timelines, contingency measures, and communication processes before, during, and after each activity.
Serve as the primary operational coordination point between headquarters, field teams, executives, and external stakeholders.
Provide real-time operational support during ongoing activities, acting as an operational command and coordination function to monitor execution, facilitate decision making, and respond to changing operational requirements.
Prepare operational contingency plans and ensure readiness for multiple scenarios, maintaining business continuity and operational resilience.
Manage all external vendors and service providers supporting the Security Department, including performance oversight, operational coordination, contractual follow-up, and service quality.
Manage the departments operational budget, including planning, tracking expenditures, cost control, and coordination with relevant internal departments.
Support the Head of Security Operations in managing departmental priorities, strategic initiatives, executive coordination, and daily operational activities.
Coordinate cross-functional activities with internal business units to ensure operational alignment and timely execution.
Maintain accurate operational documentation, reporting, schedules, and departmental records while ensuring proper handling of confidential information.
Ensure compliance with organizational standards, legal requirements, internal procedures, and security governance.
Support continuous improvement initiatives by identifying opportunities to optimize operational processes, coordination mechanisms, and departmental efficiency.
Assume responsibilities similar to the Security Operations Manager role, with a primary focus on operational coordination, planning, administration, and command support rather than physical field execution.

The Security Operations & Coordination Manager serves as the operational backbone of the Security Operations function, ensuring the seamless planning, coordination, execution, and oversight of all departmental activities.
This role is responsible for translating strategic operational objectives into executable plans, coordinating resources, managing vendors, maintaining operational readiness, and supporting leadership throughout every phase of an operation.
Acting as the central coordination point between headquarters, field personnel, vendors, executives, and external stakeholders, the position ensures that every operation is fully prepared, efficiently managed, and supported in real time while maintaining the highest standards of confidentiality, professionalism, and operational excellence.

Your responsibilities will include:

Lead the operational planning and coordination of all security activities prior to execution, ensuring readiness across personnel, logistics, vendors, and supporting functions.
Coordinate operational plans, timelines, contingency measures, and communication processes before, during, and after each activity.
Serve as the primary operational coordination point between headquarters, field teams, executives, and external stakeholders.
Provide real-time operational support during ongoing activities, acting as an operational command and coordination function to monitor execution, facilitate decision making, and respond to changing operational requirements.
Prepare operational contingency plans and ensure readiness for multiple scenarios, maintaining business continuity and operational resilience.
Manage all external vendors and service providers supporting the Security Department, including performance oversight, operational coordination, contractual follow-up, and service quality.
Manage the departments operational budget, including planning, tracking expenditures, cost control, and coordination with relevant internal departments.
Support the Head of Security Operations in managing departmental priorities, strategic initiatives, executive coordination, and daily operational activities.
Coordinate cross-functional activities with internal business units to ensure operational alignment and timely execution.
Maintain accurate operational documentation, reporting, schedules, and departmental records while ensuring proper handling of confidential information.
Ensure compliance with organizational standards, legal requirements, internal procedures, and security governance.
Support continuous improvement initiatives by identifying opportunities to optimize operational processes, coordination mechanisms, and departmental efficiency.
Assume responsibilities similar to the Security Operations Manager role, with a primary focus on operational coordination, planning, administration, and command support rather than physical field execution.

This is a senior, hands-on individual-contributor role with end-to-end ownership of security risk assessments, the security risk register, remediation tracking, risk acceptance, and risk reporting. The successful candidate will work closely with engineering, cloud infrastructure, product, security, compliance, legal, and business teams to ensure that material risks are identified early, assessed consistently, and driven toward clear treatment decisions.

The role requires strong judgment, technical understanding, and the ability to influence stakeholders without relying on formal authority.

Your responsibilities will include

Risk Assessment

Lead security risk assessments for infrastructure, cloud environments, products, applications, business processes, and major technology changes.
Conduct risk assessments for new initiatives, systems, and significant changes, including supporting M&A-related risk assessment work alongside the due diligence team.
Evaluate the design and effectiveness of controls and identify residual risk following mitigation.
Identify emerging and systemic risks that may affect multiple services, regions, or business functions.
Risk Register & Tracking

Maintain the security risk register: log new risks, update status, track owners, and follow items through to remediation or formal risk acceptance.
Support the ongoing refinement of risk assessment and risk register processes, contributing improvements as the practice matures.
Coordinate with other GRC functions on findings and gap assessments that carry risk implications, and independently determine whether a given finding warrants a risk register entry.
Metrics & Reporting

Maintain and improve security risk assessment, scoring, prioritization, and acceptance processes.
Define and monitor meaningful Key Risk Indicators and risk trends.
Translate complex technical risks into clear business impact for senior leadership and governance forums.
Prepare risk reporting that supports security posture reviews, strategic decision-making, and Board-level reporting.
Support auditors, customers, and internal stakeholders on security risk management matters.
Cross-Functional Coordination

Work closely with other GRC functions to ensure risk assessments reflect current operating reality.
Partner with engineering and business stakeholders to embed risk thinking into day-to-day decisions, building trust through clear, practical communication rather than formal authority.
Build trusted relationships with risk and remediation owners while maintaining independent and objective judgment.

Were looking for a Senior Backend Software Engineer to help develop our hyperscaling platform.
We have a lot of tasks on Golang and little less on Java and Python.

In this position, your responsibility will be to:
Developing fault-tolerant, reliable cloud services: cloud infrastructure, managed databases, managed Kubernetes, billing, monitoring systems, ML service and more.

We are looking for a Senior Data Engineer to own substantial parts of our data platform and deliver complex data products end to end. You will turn ambiguous business needs into pragmatic technical solutions, make architecture and implementation trade-offs, and improve the reliability, scalability, and usability of our data ecosystem.

You will work closely with product, platform, and business teams, helping them use data effectively while ensuring that our systems remain maintainable and trustworthy grows.

Your responsibilities:


Own the design, delivery, and operation of complex data pipelines, datasets, and platform components.
Translate business and analytical requirements into scalable data models, reliable data products, and clear technical plans.
Design and evolve data architecture, storage, processing, and orchestration patterns for large-scale workloads.
Improve data quality, observability, lineage, and incident response for critical datasets and pipelines.
Investigate and resolve challenging performance, reliability, and data-correctness issues in production.
Establish reusable tools, conventions, and automation that improve engineering productivity and reduce operational risk.
Work with product teams and business stakeholders to define data contracts, priorities, and success criteria.
Contribute to technical direction through design reviews, thoughtful trade-offs, and documentation.
Support and mentor other engineers through reviews, pairing, and knowledge sharing.
Participate in the on-call rotation and take ownership of improving the operational health of the systems you support.

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

Guided search and reinforcement learning for agentic systems
Reinforcement learning for reasoning models
Web-scale problem collection for training agents
Efficient model distillation
Some examples of what your responsibilities might include are:

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

We are building an inference & fine-tuning platform that makes every kind of foundation model - text, vision, audio, and emerging multimodal architectures - fast, reliable, and effortless to train & deploy at massive scale.

Some directions we currently working on and which you can be a part of:
Advanced Fine-Tuning: Enhancing fine-tuning methodologies - both LoRA-based and full-parameter - for cutting-edge LLMs (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-4.7), focusing on both model quality and training efficiency.

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

We are building a high-performance inference and fine-tuning platform designed to push foundation models to their hardware limits. Our mission is to maximize throughput, minimise latency, and optimise cost-per-token across tens of thousands of GPUs.



Some directions we are currently working on, and which you can be a part of:

Inference Optimization: Identifying LLM inference bottlenecks to drive production speedups. Squeezing the maximum performance for a wide range of LLM architectures at scale (e.g., GPT-OSS, Kimi K2.5, DeepSeek V3.1/V3.2, GLM-5).
Inference engines support: Implement novel speculative decoding architectures, optimise components of various LLM designs (dense/MoE, autoregressive/parallel), and contribute to open-source inference engines.
Low Precision Training & Inference: Design and productionise low-precision (FP8, NVFP4/MXFP4) training and inference pipelines with measurable gains in throughput and cost-efficiency.

We are looking for a Senior Product Manager to join our Agentic Search team, building the search and retrieval infrastructure that powers AI agents and LLM-based applications at scale.

This is a hands-on IC role with real ownership. You will take full end-to-end responsibility over a core product area, from defining strategy through shipping and iterating based on real usage data. You will work within a small PM team reporting to the Director of Product, alongside engineering, design, and go-to-market, shaping how AI agents discover, retrieve, and act on web information in real time.

The product serves both a developer-facing PLG motion and a growing enterprise customer base, so you will need to be equally comfortable digging into API design and search quality as you are running customer discovery calls and informing competitive positioning. We are looking for someone who can operate as a senior strategic partner, not just an executor, and who has the potential to grow into a principal-level PM over time.

Youre welcome to work hybrid from Tel Aviv, Israel.

Your responsibilities will include:

Own a core product area end-to-end: strategy, roadmap, execution, and iteration based on real usage signals and customer feedback.
Drive search quality and relevance improvements by working closely with engineering and research to define evaluation frameworks, benchmarks, and release criteria.
Engage directly with enterprise customers and developer users to validate ideas, understand pain points, and shape product-market fit across both PLG and enterprise motions.
Monitor the competitive landscape in agentic search and AI-powered retrieval, identifying shifts, threats, and opportunities that should inform product decisions.
Collaborate with go-to-market teams (sales, solutions, growth) to ensure product positioning, ICP definitions, and enablement materials reflect product reality.
Contribute to product strategy as a senior voice on a small, high-impact team, challenging assumptions and bringing independent judgment to key decisions.
Lead product experiments and rapid iteration cycles, moving from hypothesis to prototype to production with clear success criteria.