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As a Research Engineer , you will design, develop, and implement algorithms and models that will enhance the products capabilities, performance, reliability, and scalability. Together with our algo and engineering team members, you will work closely with our product team members to implement algorithms that can be used to drive our business forward as well as the frontier of software development AI technologies.

Responsibilities:

Design, develop, implement and test algorithms and AI-empowered solutions for various product features and applications
Collaborate with cross-functional teams to understand business needs and translate them into algorithmic solutions
Perform research on emerging trends, algorithms, and cutting-edge technologies, and identify ways to incorporate them into our products pragmatically
Propose new and innovative solutions to complex problems and lead the development of algorithms in those areas
Design, cleanse, and utilize benchmarks throughout the process of the algorithm development

We are looking for a skilled QA Automation Engineer (backend oriented) to join our Parking domain. You will play an important role in ensuring the quality of mission-critical systems that serve millions of users daily.
The majority of the role is automated testing combing AI Skills but combines manual as well.
This is a great opportunity for somebody who want to enhance infrastructures, develop in engineering and great best practices and handle scaled distributed systems based on AWS.
Responsibilities
Design and develop automated tests end to end for new and existing features, execute mainly Backend orientation API tests, including automation for backend services.
Apply AI tools (e.g., Cursor, Claude Code) in day-to-day work to generate code, build automation, and continuously improve testing workflows.
Write and maintain detailed test cases and documentation.
Identify, record, and track software defects and issues, ensuring timely resolution.
Work with tools such as Qase.
Collaborate with cross-functional teams to understand product requirements and design effective testing strategies.

Were seeking a Security Lead to join our team. This role is ideal for someone who can shape security foundations from the ground up. Youll solely build, lead and scale our security program across product, infrastructure and internal operations. This is a hands-on leadership role in which you will define our security strategy, drive execution, take ownership of maintaining security within our cloud environment and ensure that our customers, partners and employees can trust our platform and data handling.

Responsibilities

Embed secure-by-design and secure-by-default practices into the SDLC, partnering with engineering on threat modeling, secure code reviews, SAST/DAST, vulnerability management, and integrating practical, developer-first security solutions directly into development workflows.
Manage hands-on application and cloud security execution, reviewing code, hardening services, improving AWS/GCP configurations, IAM, networking, and secrets management, building cloud posture management, and integrating security into CI/CD, containers, and infrastructure-as-code.
Drive LLM and GenAI security innovation, implementing guardrails, prompt injection protections, MCP authorizations, and AI-specific security controls to ensure resilient and safe AI-powered systems.
Own incident response and security operations end-to-end, including preparation, detection, mitigation, root-cause analysis, remediation, communications, and developing internal standards, playbooks, and automation to scale the function from scratch.
Lead privacy, data lifecycle, and compliance initiatives, owning SOC 2, ISO 27001, GDPR, and regulatory readiness, while representing security in customer and partner discussions and translating technical controls into business assurance.

In this role, you will take full ownership of complex backend projects end-to-end in a high-scale, consumer-facing domain. We value engineers who think ahead, identify problems before they surface, and drive solutions independently -- while collaborating effectively across teams.
Responsibilities
Own complex backend projects end-to-end: from functional spec through architecture, development, deployment, and production monitoring.
Design, develop, and maintain scalable backend microservices serving millions of daily users.
Build and manage cloud-native, event-driven architectures on AWS and distributed systems.
Design and build reusable AI-driven components (e.g., sub-agents, skills, and templates) to streamline workflows and improve system efficiency, leveraging modern AI tools and technologies
Proactively identify technical debt, performance bottlenecks, and architectural gaps -- and drive initiatives to address them.
Collaborate with cross-functional teams including Product, DevOps, Mobile, and QA.

Were looking for a DevOps Team Lead to own how engineering ships, scales, and operates in production.
This is a high-impact role at the core of our platform-combining deep DevOps ownership with the opportunity to help build and operate our next-generation AI platform and Agentic Development Lifecycle (ADLC).
Youll lead a team of DevOps engineers (including off-shore), stay hands-on, and drive both operational excellence and the evolution of our platform toward data and AI-driven systems.
This role sits at the center of how our company builds and scales its platform-impacting every production system and how every engineer ships code.
Responsibilities
Lead and grow a DevOps team, setting a high bar for ownership, execution, and engineering excellence
Own the reliability, scalability, and operation of our AWS-based, distributed production environment serving millions of users in real time
Own how engineering ships to production - driving CI/CD, automation, and developer experience to enable fast, safe, and efficient delivery
Establish strong observability, performance, and incident response practices across distributed systems
Partner with R&D to support both production systems and evolving platform capabilities, including data pipelines, AI services, and agent-based workflows.

Were seeking an exceptional Senior Backend Engineer to join our Platform team. This team is at the heart of what we do- building the tools and infrastructure that enable to scale rapidly while maintaining the quality and reliability our users depend on.

Responsibilities

End-to-End Ownership: Lead projects from design through production, taking responsibility for technical decisions and their outcomes
Platform Architecture: Design and evolve scalable backend systems that power our core products
Infrastructure & Reliability: Build robust, high-performance APIs and services that handle production workloads at scale
Developer Experience: Create internal tools and frameworks that accelerate development across the organization
Technical Leadership: Drive architectural discussions, mentor team members, and raise the bar for engineering quality

As VP Finance, you will bring both strategic vision and hands-on execution to every aspect of our financial operations, from long-range planning and investor relations to revenue operations and regulatory compliance. You are a builder who thrives in ambiguity, moves fast, and can zoom in and out between board-level narratives and ground-level detail.

What will you own?

Set the financial strategy and vision , in close partnership with the leadership team

Own full P&L accountability, annual budgeting, and multi-year financial planning

Lead and mature our FP&A function, building scalable forecasting processes, tracking burn, headcount, and key SaaS performance metrics

Translate complex financial data into clear strategic recommendations that drive growth, efficiency, and informed decision-making across the business

Serve as a key financial voice in VC board meetings, presenting performance, runway, and budget impact with confidence and clarity

Partner with the CEO, RevOps, and GTM leaders to model pricing strategies, optimize revenue, and design commission structures

Oversee financial compliance, risk management, and internal controls across our global operations

Ensure strong command of Israeli tax law and navigate US regulatory requirements as we scale internationally

We are seeking a experienced Recruiter with a proven track record in Data Center or Industrial hiring to join our growing Data Center Talent Acquisition team at our company.
The Role
As a Data Center Recruiter, youll play a pivotal role in scaling our Data Center operations globally. Youll partner closely with hiring managers and key stakeholders to deliver exceptional talent across multiple technical disciplines.
Key Responsibilities
Manage end-to-end recruitment processes for Data Center functions, including (but not limited to): Field Network Engineers, IT Technicians, GPU and Hardware Specialists, Logistics, Purchasing, Electrical, and Mechanical Engineers.
Drive high-volume sourcing and maintain robust pipelines for current and future hiring needs.
Build strong relationships with stakeholders across technical and operational functions, acting as a trusted Talent Partner.
Leverage market intelligence and data-driven insights to anticipate and fulfil future talent requirements.
Champion an exceptional candidate experience from application through offer stage.
Conduct effective screening calls to assess technical and behavioural competencies.
Write and optimise engaging job postings aligned to our companys tone of voice and role-specific requirements.
Use the ATS to manage pipelines, track progress, and ensure data accuracy.
Support and uphold our companys commitment to diversity, equity, and inclusion through fair and inclusive hiring practice.

Were looking for a Talent Acquisition Partner to join our People team. Someone experienced enough to lead hiring processes end-to-end - but still hungry to grow, constantly improve, and help shape what recruiting looks like in an AI-first company.

If youre looking to do more than recruitment- this is an opportunity to influence how we hire, who we hire, and how we scale.


What Youll Do

Own full-cycle recruiting across Engineering, Product, and GTM roles - from building pipelines across channels, through interviews, to closing
Partner closely with hiring managers to deeply understand needs (technical + cultural), shape roles, and guide hiring decisions
Work hand-in-hand with the Talent Acquisition Coordinator to run efficient, high-quality processes
Create exceptional candidate experiences - fast, sharp, human
Track and analyze pipeline data to continuously improve how we hire
Contribute beyond recruiting: employer branding, People initiatives, and anything else that moves the needle

We are looking for a Vulnerability Manager to join the Cyber Security organization, reporting to the Vulnerability Lead within the Cyber Security PMO under the CISO.
This role focuses on execution and operational management of the organizations vulnerability management activities. You will work closely with the Vulnerability Lead to drive day-to-day remediation efforts, ensure SLA compliance, and maintain continuous progress across teams.
The ideal candidate is execution-driven, detail-oriented, and experienced in vulnerability management processes within cloud, infrastructure, and application environments.
Responsibilities
Vulnerability Management Execution
Drive day-to-day execution of vulnerability management processes across cloud, infrastructure, SaaS, and application environments.
Track vulnerabilities from identification through remediation and validation.
Ensure SLA adherence and timely remediation across teams.
Execute prioritization based on risk, severity, and business impact as defined by the Vulnerability Lead.
Stakeholder Coordination
Work closely with Security, DevOps, Infrastructure, and Engineering teams to drive remediation efforts.
Follow up on tasks, remove blockers, and ensure continuous progress.
Provide regular status updates and reporting to the Vulnerability Lead and PMO.
Tracking & Reporting
Maintain accurate tracking of vulnerabilities, remediation status, and KPIs.
Support dashboards and reporting on SLA compliance, exposure trends, and risk reduction.
Process & Improvement
Support improvement of vulnerability management processes, workflows, and tooling.
Assist in audits, compliance activities, and documentation.

We are looking for a dynamic and driven Account Executive to join our growing sales team. This role is critical to our go-to-market success, focusing on acquiring new commercial customers, driving revenue growth, and shaping our sales playbook. The ideal candidate thrives in a fast-paced startup environment, has experience selling SaaS solutions, and is passionate about AI and developer tooling.

Responsibilities:

Own and drive the full sales cycle from prospecting to close, with a focus on enterprise and mid-market accounts
Develop and execute strategic account plans to maximize revenue opportunities
Engage with technical and business stakeholders (CTOs, VPs of Engineering, and technology leaders) to demonstrate value proposition
Build strong relationships with prospects and customers, guiding them through the evaluation and buying process
Manage pipeline effectively within CRM, ensuring accurate forecasting and deal progression
Collaborate with internal teams, including Solution Engineers, Customer Success, and Marketing, to refine our sales motion and messaging
Provide customer feedback to influence product development and roadmap

We are seeking a Solutions Engineer to become an integral part of its team, dedicated to offering technical guidance and assistance. The ideal candidate will have the chance to cultivate connections with pivotal clients and play a crucial role in advancing the sales of our products. If you aspire to collaborate closely with our sales, product and R&D team, delivering technical expertise, demonstrations, and solutions to our customers, we would love to hear from you!

What will you do?

Providing technical guidance and support to prospects and customers
Explaining products and services to customers and work closely with them to understand their technical requirements and translate them into effective solutions.
Assisting with product demonstrations, presentations and webinars.
Provide training to clients, both in person and remotely, to ensure they can effectively use our products.
Respond to technical inquiries and provide in-depth information to clients.
Support the closing of deals by addressing technical concerns and objections.
Gather feedback from clients and the sales team to help improve our products and services.

We are seeking a highly experienced Vulnerability Lead to join the Cyber Security organization, reporting directly to the Head of PMO under the CISO.
This role combines deep domain expertise in Vulnerability Management with strong project leadership capabilities. The primary focus is to lead and mature the organizations vulnerability management program, while also driving additional cross-functional security initiatives.
The ideal candidate brings hands-on experience in vulnerability lifecycle management, risk-based prioritization, and remediation at scale, along with the ability to operate across security, engineering, infrastructure, and product teams.
Responsibilities:
Vulnerability Management Leadership
Own and lead the organizations Vulnerability Management program across cloud, infrastructure, SaaS, and application environments.
Drive end-to-end vulnerability lifecycle: identification, assessment, prioritization, remediation, and validation.
Implement and enforce risk-based prioritization aligned with business impact and threat intelligence.
Define, track, and improve KPIs such as SLA adherence, remediation timelines, and exposure trends.
Work closely with Security, DevOps, Infrastructure, and Engineering teams to ensure effective remediation at scale.
Project & PMO Execution
Lead and deliver additional cross-functional cyber security projects under the CISO organization.
Define project scope, objectives, timelines, and success metrics aligned with security strategy.
Manage execution, dependencies, risks, and stakeholder alignment across multiple initiatives.
Prepare executive-level reporting and dashboards for the CISO and senior leadership.
Strategy & Improvement
Continuously improve vulnerability management processes, tooling, and governance.
Support audits, compliance requirements, and security risk reporting.
Act as a subject matter expert for vulnerability risk across the organization.

we are looking for a Senior Data Scientist to build and deploy time series forecasting and classical machine learning models that support core business planning and operational decisions. You will own problems end-to-end, from data exploration and feature engineering to model deployment and monitoring, working with large-scale, real-world datasets.
The role emphasizes strong statistical thinking, robust modeling, and production reliability over experimentation with trendy frameworks. Your work will directly impact forecasting accuracy, resource planning, and key business metrics.
Youre welcome to work in our offices in Tel Aviv.
Your responsibilities will include:
Time series forecasting. Design, build, and maintain forecasting models (e.g., demand, usage, capacity). Evaluate performance using appropriate metrics and improve accuracy over time.
Classical ML modeling. Develop and deploy models using regression,Binary classifcatiom , tree-based methods, and other well-established approaches where they provide the best trade-off between performance, interpretability, and maintainability.
Feature engineering & data preparation. Build robust pipelines for data cleaning, transformation, and feature generation (including time-based features, seasonality, and external signals).
Model evaluation & monitoring.Define evaluation frameworks, backtesting strategies, and monitoring to ensure models remain stable and reliable in production.
Production & MLOps. Deploy models into production environments, collaborate on pipeline orchestration, and ensure reproducibility and version control.
Exploratory analysis. Analyze large datasets to identify patterns, anomalies, and drivers of change in time-dependent behavior.
Stakeholder collaboration. Work closely with business and product teams to define forecasting needs, align on success metrics, and translate model outputs into actionable insights.
Cross-domain contribution. Contribute to adjacent data science areas (e.g., LLM-based systems) as needed, ensuring shared ownership and continuity across team responsibilities.

we are looking for a Senior Data Scientist (Applied AI / LLM) to design, build, and deploy production-grade AI systems based on large language models. You will focus on turning LLM capabilities into reliable, measurable business solutions, while also contributing to predictive modeling across different business domains.
Your work will include building evaluation frameworks, improving model accuracy, and developing agent-based systems that automate analytical and data workflows (e.g., data quality monitoring). The role emphasizes production readiness, robustness, and real business impact-not experimentation.
Youre welcome to work in our office in Tel Aviv.
Your responsibilities will include:
LLM system development. Design and deploy LLM-based solutions (e.g., RAG pipelines, agent workflows) for real business use cases.
Evaluation & reliability. Build evaluation frameworks to measure accuracy, consistency, and failure modes of LLM systems. Continuously improve performance based on real-world usage.
Agent-based automation. Develop agentic solutions to automate workflows such as data quality checks, anomaly detection, and reporting.
Applied predictive modeling. Apply classical ML and statistical methods to business domains such as HR and Finance (e.g., forecasting, classification, risk modeling).
Production & MLOps. Deploy and maintain models in production, ensuring monitoring, versioning, and scalability.
Stakeholder collaboration. Translate business needs into AI/ML solutions and communicate trade-offs, risks, and performance clearly.
Cross-domain contribution. Contribute to adjacent areas (e.g., forecasting models) to ensure team redundancy and shared ownership of critical workflows.