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We are looking for a Legal Operations Manager to own how agreements move through the company. This is a hands-on legal operations role. You'll own the contract lifecycle end to end: intake, triage, routing to external counsel where needed, tracking, signature, filing, and follow-through on what we committed to. You will maintain our templates and playbooks, keep the contract tracker and reporting accurate, support compliance and customer security reviews, and use legal tech and AI tools to keep the work moving. You will also improve how it works.
What You'll Do:
Own the contract lifecycle end to end: intake, triage, routing to external counsel where needed, tracking, signature, filing, and follow-through on commitments.
Maintain company templates and playbooks.
Keep the contract tracker and reporting accurate.
Support compliance and customer security reviews.
Use legal tech and AI tools practically to keep work moving.
Continuously improve how legal processes work.

We are looking for an AI Engineer to build the backbone of our autonomous security platform.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
Youll design, build, and ship the AI systems behind Alex: production agents that reason over customer identity data, call real tools, and complete IAM tasks end to end. Starting from a cybersecurity need, youll frame the technical problem, choose an approach, and own the solution through production: architecture, implementation, evaluation, deployment, and iteration on real customer behavior.
Youll build on our companys shared agent infrastructure and extend it: new tools and integrations, workflow orchestration, context and memory management, evaluation harnesses, and the guardrails that keep an autonomous agent safe inside a customers environment.
This is a hands-on engineering role, not a research position. The goal is not to prove that an idea can work; it is to make it useful, reliable, and observable for customers in production.
What You'll Do:
Design, implement, and ship AI-powered features for complex cybersecurity workflows, from prototype to production.
Build the systems that make agents work in practice: tool integrations, planning and orchestration logic, context management, structured outputs, and recovery from failures.
Choose the right technical approach for each problem, combining models, deterministic logic, data, and conventional software where appropriate.
Define quality for each use case and build the evaluation pipelines that measure correctness, task completion, consistency, safety, latency, and cost, and wire them into CI and release.
Debug agent behavior in production: trace failures to their root cause in the prompt, tool, data, or architecture, and fix it.
Own the reliability, observability, and cost of the agent systems you build.
Collaborate with cybersecurity experts, product, and platform engineers throughout development.

We are looking for an experienced Backend Engineer to help build the core infrastructure behind our company's agentic AI system.
our company builds AI Digital Employees who help cyber teams close the execution gap. Our first AI Digital Employee, Alex, learns, understands and takes away the burden of Identity and Access Management (IAM) tasks - proactively completing the organization's cyber objectives.
About the Role:
We are looking for a strong Backend Engineer with 5+ years of experience to help build the core infrastructure behind our company's agentic AI system. This is not another workflow tool: we are building something new, in a category that does not really exist yet. You will work on the services, orchestration, integrations, data models, retrieval layers, guardrails, and evaluation infrastructure that let AI agents reason over enterprise context and take reliable action.
This role is deeply product-facing and infrastructure-heavy. Our customers are large enterprises that manage tens of thousands of identities, so the systems we build need to be secure, observable, reliable, and able to operate at real scale.
What You'll Do:
Build production backend services in Python that power our company's agentic AI platform.
Design and implement AI-agent orchestration, tool-calling infrastructure, workflow execution, guardrails, and evaluation loops.
Integrate with enterprise applications, identity providers, SaaS tools, and customer data sources so agents can understand context and execute tasks safely.
Build systems that ingest, model, and reason over organizational processes, permissions, policies, and internal knowledge.
Solve scale and reliability challenges for large enterprise environments with tens of thousands of identities.
Collaborate closely with product, AI, and customer-facing teams to turn ambiguous business processes into reliable automated experiences.
Own reliability, observability, performance, and security for production systems.

We are looking for a Software Engineer - Customer Solutions to help customers successfully integrate, configure, and deploy our platform. You will work directly with customers to understand their technical requirements, build integrations, and troubleshoot issues across APIs, data, authentication, and enterprise systems.
This role is ideal for someone who enjoys combining hands-on engineering with customer interaction. We are looking for strong technical fundamentals, curiosity, clear communication, and a practical approach to solving real-world problems.
What Youll Do:
Work directly with customers to understand their technical workflows and integration needs.
Build and configure integrations between our platform and customer systems.
Develop backend services, scripts, APIs, data transformations, and automation workflows.
Investigate technical issues involving APIs, databases, authentication, customer data, and infrastructure.
Participate in customer implementation meetings and help translate business requirements into technical tasks.
Test, deploy, monitor, and support customer-facing solutions.
Document integrations, troubleshooting steps, and implementation decisions.
Work closely with senior engineers and product teams to turn customer-specific needs into reusable capabilities.
Gradually take ownership of increasingly complex customer projects.

Were looking for a strategic and execution driven Senior Product Manager to join our team. You will own the product lifecycle from discovery to delivery, working closely with engineering, research, and go to market teams to shape and deliver our next generation cybersecurity platform. This role is ideal for someone with deep B2B cybersecurity expertise who can translate customer pain points into impactful product capabilities while navigating the fast moving dynamics of an early stage startup.
What Youll Do:
Define the product vision and roadmap based on market trends and competitive landscapes, not just a list of features.
Own the end to end user journey. Translate complex cybersecurity workflows into a clean, customer-facing interface that simplifies the users life.
Tackle deep technical challenges (AI agents, cloud environments) and distill them into clear, actionable product requirements and value propositions.
Work closely with R&D to deliver high quality releases in a fast paced startup environment.
Collaborate with large B2B enterprise customers to validate needs, ensure adoption, and build a product that sells itself through value and ease of use.

We are looking for a Technical Account Manager to be the trusted technical advisor for our customers. You will own the post sale journey from onboarding and deployment through long term adoption and growth. You will turn AI driven security capabilities into measurable value in every customer environment.
What You'll Do:
Own the post sale technical relationship end to end. You will take a clean handoff from Solutions Engineering at deal close and serve as the customer's primary technical point of contact from then on.
Lead technical onboarding and implementation from kickoff through full deployment, including integrations with security tools, cloud infrastructure, and CI/CD pipelines.
Translate customer requirements into implementation plans, timelines, and clear success criteria.
Act as a trusted technical advisor by guiding customers on best practices for configuration, policy setup, and getting the most out of the platform in their security environment.
Drive ongoing adoption and account health. You will identify opportunities to expand usage across new applications, teams, and use cases.
Run regular technical business reviews that show value, surface risks, and align on the roadmap for each account.
Troubleshoot and escalate technical issues with R&D and Security Research, while keeping ownership of the customer relationship.
Build and maintain documentation, runbooks, and reusable assets as the customer base scales.
Partner closely with Sales, Solutions Engineering, Product, and R&D to support renewals and expansion, share customer feedback, and flag technical or adoption risks early.
Track and report on time-to-value, adoption, and account health metrics across your portfolio.

We're looking for a sharp, curious Junior AI Security Researcher to join the team at the beating heart of our Autonomous Attacker. Our platform is powered by AI agents running real attacks against real environments every day: Web, Internal Networks, External Networks, Cloud. You'll work hands-on with AI and data at every layer of our platform, learn the system deeply, and help push it forward on whatever front moves the needle most. This is a rare entry point into both offensive security and applied AI. No prior cyber background required, just a sharp analytical mind, obsessive attention to detail, and the courage to chase a question until it answers back.
What You'll Do:
Work hands-on with the AI agents at the core of our platform: study their behavior, their reasoning, their data, and the environments they operate in.
Mine large volumes of AI-generated data to surface patterns and opportunities that only show up at scale.
Use AI as your own force multiplier: write prompts, build evals, cluster findings, and move faster than humanly possible.
Experiment with prompt engineering, fine-tuning, model selection, and agent architecture to push the platform further.
Translate what you find into concrete improvements: write specs, open PRs, and ship them. You may well touch production code.
Push things forward. Pull the right people into the room, ask the "stupid" questions, and never let a thread die.

We are looking for a highly motivated, growth-minded Financial Controller and strong team player to join our accounting team in a fast-paced, tech-first environment. If you thrive on learning, taking ownership, and shaping new processes in a rapidly growing bank that is transforming the financial industry, this role is for you.

In this position, you will be responsible for operating the bank's accounting function, including the preparation of financial statements and regulatory reporting to the Bank of Israel. You will report directly to the Chief Accountant while collaborating closely with key stakeholders across banking, product, and R&D, as well as with the Bank of Israel and external auditors.

Responsibilities
Prepare and edit financial statements in accordance with Supervisor of Banks directives.
Streamline financial reporting processes by designing automated reports and notes, alongside embedding SOX controls to minimize manual processes.
Manage month-end closing processes and prepare monthly/quarterly reports for management and the Board of Directors.
Manage periodic reporting to the Bank of Israel in accordance with regulatory guidelines.
Own credit loss models under CECL directives, collaborating with technology vendors to develop and automate the allowance model.
Track and implement regulatory and accounting updates.
Define accounting business requirements (BRD) for new products, map transaction flows to the GL, and conduct UAT and system testing.
Participate in ad-hoc projects and carry out additional accounting and financial tasks as required.

We are looking for a Senior DevOps Engineer to join our DevOps team at our company. You will own and evolve the infrastructure underpinning a healthcare AI platform serving patients and enterprise health system partners. This is a high-ownership role: you will architect and operate cloud environments across our company and its enterprise partners, lead complex infrastructure migrations, drive disaster recovery programs, and help build the next generation of AI-powered operations tooling. You will also mentor junior engineers and collaborate closely with product and engineering teams across the company. This is a hybrid role based in New York City (4 days/week in office) and includes participation in a daytime on-call rotation.

What you will do:
Own the design, implementation, and evolution of our GKE-based Kubernetes infrastructure across our company and enterprise partner environments.
Build and maintain our Terraform modular infrastructure library, including reusable modules with automated testing, across GCP, Cloudflare, and AWS.
Architect, build, and maintain GitLab CI/CD shared pipeline templates used by all engineering teams (build, test, security scanning, deployment).
Own and maintain self-hosted infrastructure software running in-cluster, including GitLab, ArgoCD, Langfuse, DependencyTrack, NGINX Ingress, and others.
Implement and support security and compliance controls across infrastructure and the software supply chain - secrets management, pipeline secret detection, container scanning, SOC2 and HIPAA.
Drive disaster recovery readiness: design failover scenarios, author runbooks, and lead periodic DR tests.
Lead development of AI-powered operations tooling and agentic infrastructure.
Monitor, troubleshoot, and improve production system reliability; respond to incidents during on-call shifts.
Mentor junior DevOps engineers and establish team-wide engineering standards.

We are looking for a Senior Software Engineer to help build the core engine and platform behind our autonomous attacker. In this role, you will bridge the gap between cutting edge AI and advanced security operations, designing secure, high performance applications and turning complex data into intuitive product experiences.
What Youll Do:
Design and develop responsive, high performance web applications and secure APIs/micro services.
Build sophisticated dashboards to present complex security data and AI driven insights clearly and intuitively.
Seamlessly integrate AI/ML models into user-facing applications and develop interfaces for complex security operations.
Work closely with Security Researchers and Product stakeholders to translate complex requirements into elegant technical solutions.
Ensure top tier application security, performance optimization, and scalability across the entire stack.

We are looking for a sharp, hands-on team leader to head the Demand team within our Israel Operations department. As Head Of Demand, you will directly manage a focused team of demand specialists, drive day-to-day execution, and serve as the operational and strategic anchor for everything demand-related - while working closely with broader Operations leadership.

This is a team lead role within a larger department - you will be both a player and a coach, equally comfortable diving into the data and developing the people around you.

Core Responsibilities

Team Leadership & People Development

Oversee the team's management of key demand partner relationships, ensuring KPIs are met and growth opportunities are captured
Collaborate closely with teams across Operations, Sales, Product, R&D, and Analytics
Stay on top of industry trends and bring relevant insights back to the team and department leadership
Directly manage and mentor the Demand team, setting clear priorities, workstreams, and performance expectations
Run daily operations smoothly, balancing immediate deliverables with longer-term team development
Provide ongoing coaching and feedback to support each team member's professional growth; foster a team culture built on ownership, curiosity, and results
Operational Excellence & Process Building

Design, implement, and continuously improve team processes and workflows - building the operational infrastructure that enables the team to perform consistently and efficiently in a high-volume, fast-paced environment
Establish clear standards and routines for task management, prioritization, and escalation, so the team can move quickly without sacrificing quality or visibility
Cross-Functional Leadership & Stakeholder Management

Lead and influence without direct authority -drive alignment and execution across cross-functional teams and stakeholders outside your direct management, using strong interpersonal skills, credibility, and clear communication
Navigate a matrixed organization - work effectively with multiple managers and department heads, managing competing priorities, aligning on shared goals, and ensuring the Demand team's work is connected to broader business objectives
Serve as the demand domain representative in cross-departmental forums, translating team-level insights into organizational decisions
Build and maintain trust-based relationships with key internal stakeholders - proactively aligning with leadership across departments to remove blockers, surface opportunities, and keep projects moving

we are looking for a Software Engineer.
What you'll actually do?
Own entire pieces of the product- from "here's a vague problem" to "it's running for enterprise customers".
Design systems that survive real scale: multi-tenant, high-volume, real-time, always-on.
Move fast with AI agents, and stay completely responsible for what lands in production.
Make the team better: your tooling, your workflows, whatever you figured out last weekend.

We are looking for an experienced Windows Kernel Engineer to lead the design and development of a Windows filesystem minifilter from scratch and integrate it with our existing agent.
The ideal candidate has deep expertise in Windows kernel internals and proven experience building and debugging either:
Filesystem minifilters
Filesystem drivers