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

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

Your responsibilities will include:

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

We are looking for a skilled Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role - you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.

You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network - a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.

We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows - and who want to be a driving voice in how we apply those technologies.

Your responsibilities will include:

Automation development

Design and develop automation workflows for incident response and SOC operations
Identify and eliminate manual processes through scalable automation
Build reusable components and maintainable automation patterns
Engineering & integration

Develop integrations using REST APIs, webhooks, and event-driven architectures
Write high-quality, maintainable Python for automation and orchestration
Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout

Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
Design the automation architecture and integration strategy for the team
Build automation capabilities in a greenfield environment - your decisions will shape the foundation
SOC collaboration

Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation

Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production

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.

In your first year, we expect you to set a clear quality bar for our search products that the team builds against, have a real influence on where our index goes next, and bring us a point of view on where search infrastructure is heading.

This is a hands-on senior IC role with real ownership, reporting to the Director of Product. You will work day to day with our search engineering and research teams, with the evaluation team, and with customer success, who bring us quality feedback from real accounts every week. Our search engineers are deeply experienced in large-scale retrieval, and the product team is small, so you will argue your case directly with the people building it. That only works if you have built at this scale yourself.

Your responsibilities will include:

Set the quality bar and release criteria for search: what good means per use case, and what a change has to clear before it ships. Our evaluation team owns the measurement, and you work closely with them on what to measure and why.
Own the depth, latency, and cost tradeoffs across our search products, and make them explicit and defensible.
Shape the direction of our index: what it needs to cover, how fresh it needs to be, and what quality bar it has to meet.
Build a point of view on where search infrastructure is going as agents, rather than people, become the main consumer, and turn that into a roadmap.
Know how we compare to the alternatives customers evaluate, and drive the work that closes the gaps that matter.
Work with customer success and directly with customers to understand where our results fall short in real workflows, and turn that into quality priorities.
Partner with the data and vertical product owners on what our corpus needs to contain and how results should be shaped per industry.

You will sit with customers in these industries, learn how they actually work, and turn their needs and pain points into clear specs. You will build with engineering, ship it, and make sure go-to-market knows how to sell it. You own the outcome, not just the handoff: from the first market call through to adoption and revenue.

The hard part is choosing. There are more verticals worth building than we can build, and the difference between a good year and a wasted one is knowing which ones to invest in and which to walk away from, even when a large customer is asking for another.

In your first year, we expect you to know our top use cases better than anyone here, ship a product built for one of them that customers will pay more for, and have a defensible view of what comes next.

This is a hands-on senior IC role with real ownership. You will work within a small PM team reporting to the Director of Product, alongside engineering, research, data, and go-to-market.

Your responsibilities will include:

Own the vertical roadmap. You decide where we invest, what we ship for each, and when a vertical is not worth it.
Shape the product surface on top of the data, so a customer gets something built for their job.
Find and evaluate the data behind each vertical, across public sources and paid providers, and decide what is worth investing in.
Sit with customers in these industries until you understand their workflow, then turn that into specs engineering can build.
Set what a good answer looks like in each use case, working with our evaluation team, who own how we measure it.
Work with customer success to learn what customers ask us for and what makes them leave.
Partner with the search owner on how results should be ranked and shaped for each use case.