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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.

Tavily team is building the search engine for AI agents. We believe the future of work will be led by AI agents, and that requires restructuring how the web is accessed. Our Search API provides web access for AI agents, enabling real-time internet search optimized for LLMs and Retrieval-Augmented Generation (RAG). We are backed by leading investors and serve developers and enterprises worldwide. Our team is fast-moving and ambitious. We ship quickly, iterate constantly, and care deeply about impact.
As a Software Engineer - Scraping Specialist, youll build the systems that power how AI interacts with the live web. Youll design and implement large-scale, intelligent web acquisition pipelines, making sense of an ever-changing online ecosystem and transforming it into structured, high-quality data.
This role blends technical understanding of browsers, networks, and automation with hands-on engineering. Youll work on adaptive systems that navigate modern websites, understand evolving web interaction ,detection systems, and gather meaningful information safely, efficiently, and at scale.
Your work will directly shape Tavilys ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning.
What Youll Do
Build distributed data acquisition systems that capture and structure the live web
Investigate and analyze browser internals, fingerprinting, and anti-automation systems to develop stealthy, adaptive orchestration layers
Prototype and deploy intelligent automation frameworks using Playwright, Puppeteer, and low-level browser control protocols (CDP)
Conduct hands-on research into network flows, JavaScript-based protections, and emerging web standards affecting automation
Collaborate with AI and infrastructure teams to integrate real-time web data into retrieval pipelines and LLM-powered agents
Translate deep technical insights into production-grade components, balancing research freedom with engineering rigor
Continuously evolve Tavilys capabilities in resilience, speed, and authenticity of web interaction.

we are looking for a Senior Data & Business Analyst to lead analytics and business health indicators across our operational and company-wide domains. This is a senior individual contributor role combining strategic thinking, deep hands-on analytical execution, and strong cross-functional business partnership. Youre welcome to work in our office in Tel Aviv.
The role requires the ability to operate at two levels simultaneously: understanding the full business picture while diving deep into complex datasets and technical execution. You will work closely with Operations, Finance, and other cross-functional teams to improve efficiency, transparency, and decision-making across the organization.
Your responsibilities will include:
Own end-to-end analytics for core operational processes.
Define, build, and maintain company-level operational and business health KPIs.
Translate ambiguous, cross-functional business questions into structured analytical frameworks.
Write advanced, high-performance SQL to extract, model, and analyze complex datasets.
Lead deep-dive analyses to uncover operational inefficiencies, financial impact, and process gaps.
Connect data across systems and explain upstream and downstream business impact.
Independently identify high-impact problems worth solving, not only respond to requests.
Drive cross-functional analytical initiatives at a company-wide level.
Present insights, trade-offs, and recommendations to senior leadership.
Synthesize complex findings into concise executive-level narratives.
Influence decisions and drive measurable impact based on data.
Act as a central analytical partner across multiple business domains.
Lead initiatives and move stakeholders forward without direct authority.

We are seeking a highly organized and experienced Warehouse and Logistics Specialist to oversee and optimize logistics, warehouse management and asset-related processes.
This role will involve implementing and refining asset management processes, reviewing logistics and warehousing operations, setting up equipment certification, onboarding new partners and locations, and managing insurance and old asset sales.
Youre welcome to work in our office in Israel
Your responsibilities will include:
Oversee and optimize all logistics and warehouse management processes, ensuring efficiency and compliance.
Implement asset management processes to track the full lifecycle of assets.
Review and refine logistics/warehousing processes to identify areas for improvement.
Set up and manage equipment certification processes to meet operational and regulatory requirements.
Onboard new partners and locations, ensuring smooth integration into the logistics and asset management systems.
Manage insurance for assets, including claims, renewals and risk mitigation strategies.
Facilitate the sale and disposal of old assets in compliance with company policies and regulations.
Collaborate with cross-functional teams to ensure seamless asset management and logistics operations.
Monitor and report on key logistics and asset management metrics, providing insights for continuous improvement.