Tavily

Role Overview We’re looking for a detail-oriented and systems-minded Accounts Receivable Manager to own Tavily’s end-to-end AR function. This role will be responsible for billing accuracy, collections, cash application, and AR reporting, while partnering closely with Sales, Customer Success, and Finance leadership to support growth and strong customer relationships. You’ll report directly to the CFO and play a key role in building scalable financial processes as Tavily continues to expand. Key Responsibilities • Own the full AR lifecycle: invoicing, collections, cash application, credits, and adjustments. • Ensure timely, accurate invoicing aligned with contracts, usage, and pricing terms. • Monitor AR aging, follow up on overdue balances, and drive consistent collections processes. • Maintain accurate customer AR records and resolve billing discrepancies efficiently. Cross-Functional Collaboration • Partner with Sales and Customer Success to ensure clean handoffs from contract to invoice. • Support customer conversations around billing questions with clarity and professionalism. • Work with Legal and Finance on contract terms that impact billing and revenue recognition. Reporting & Controls • Prepare regular AR reporting for the CFO. • Support month-end close activities related to AR and revenue. • Ensure compliance with internal controls, audit requirements, and accounting standards. Qualifications Required • 2+ years of experience in accounts receivable. • Strong understanding of invoicing and collections. • Experience partnering cross-functionally with Sales, Customer Success, and Finance. • High attention to detail with the ability to manage multiple priorities. • Strong communication skills, especially in customer-facing billing situations. Preferred • Experience in SaaS, usage-based pricing, or API-driven products. • Familiarity with Stripe or Tabs systems. • Experience supporting audits and month-end close. • Comfort operating in a fast-growing, ambiguous environment.

About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. The Role: Software Engineer We're looking for a Software Engineer to join our core engineering team and help build the infrastructure behind one of the fastest-growing AI APIs. You'll work on systems that handle massive scale across a distributed microservices architecture running on AWS. You'll ship fast, take ownership of critical systems, and solve hard infrastructure problems as we grow. This is a great role for an engineer who loves building ambitious systems from scratch, and wants to tackle the kind of scale and complexity challenges typically reserved for much larger companies. What You’ll Do • Design and build high-performance distributed systems • Design and implement backend infrastructure and API endpoints • Build and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors • Improve performance, monitoring, and reliability across the stack • Own core systems and contribute to key architectural decisions • Help shape a strong engineering culture focused on velocity and quality What You Bring • 5 years of professional software engineering experience • Strong backend development skills • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale • Hands-on expertise with AWS infrastructure and cloud-native services, bringing practical knowledge of deploying and managing services in real-world environments • Comfortable in a fast-paced startup environment with lots of ownership • Strong sense of ownership and accountability over outcomes • Curiosity about LLMs, retrieval and the future of AI systems, with a drive to stay at the forefront of new technology • Based in Tel-Aviv or open to relocating Nice To Have • Familiarity with DevOps practices, including CI/CD pipelines, infrastructure as code, Kubernetes orchestration, and modern monitoring tools

About Tavily - Search API Tavily is a cutting-edge company focused on providing a powerful and efficient Search API. We empower developers and businesses by delivering high-quality, relevant search results quickly and reliably. Join our team to help build the data infrastructure that supports and scales our core product. The Role We are seeking a highly motivated and experienced Data Engineer to join our growing team. You will be responsible for designing, constructing, installing, testing, and maintaining highly scalable data management systems. You will work closely with our engineering and devops teams to build and optimize the data pipelines that are crucial to the performance and accuracy of our Search API. Responsibilities • Design, build, and maintain efficient and reliable ETL/ELT pipelines for data warehousing. • Develop and improve our data infrastructure. • Ensure data quality, integrity, and security across all data platforms. • Optimize data systems for performance and scalability. • Troubleshoot and resolve issues related to data pipelines and data infrastructure. • Collaborate with cross-functional teams to understand data needs and deliver solutions. Minimum Qualifications • A degree in Computer Science, Statistics, Engineering, or a related quantitative field. • 3+ years of professional experience as a Data Engineer or in a similar role focused on data infrastructure. • Proficiency in Python. • Solid experience with relational databases (SQL) and NoSQL databases. • Experience with AWS and their data services. • Proven experience in building and optimizing data pipelines and data architectures. Preferred Qualifications • Experience with Mongo/Snowflake/Redis/S3 General/S3 Express. • Experience with big data technologies • Experience with Airflow. • Familiarity with containerization and orchestration tools (e.g., Docker, Kubernetes). • Experience working in a company focused on API services or search technology. • Knowledge of data governance and data security best practices.

About Tavily Tavily 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. The Role • You'll build the systems that power how AI interacts with the live web. • You'll 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. • You'll 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 Tavily's ability to provide AI agents with accurate, real-time knowledge of the world , bridging the gap between the open web and intelligent reasoning. • This position is based in Israel and requires existing legal authorization to work in Israel. Tavily is not able to provide visa sponsorship for this role. What You'll 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 Tavily's capabilities in resilience, speed, and authenticity of web interaction What We're Looking For • 3–5 years of experience as a backend or systems engineer, ideally working with large-scale, distributed, or web-facing infrastructure • Strong programming skills in Python or Node.js, with experience in Go or C++ considered a strong plus • Proven experience building and maintaining browser automation systems (Playwright, Puppeteer, or CDP) in production environments • Solid understanding of browser internals, network protocols, and web interaction mechanisms • Experience designing high-performance, resilient systems that handle scale, concurrency, and complex orchestration • Strong debugging and analytical skills - able to investigate edge cases, performance bottlenecks, and behavior under dynamic web conditions • Comfortable working in a fast-moving environment, collaborating closely with product, AI, and infrastructure teams to ship reliable systems quickly • Excellent documentation and communication skills to ensure smooth integration and operational visibility Nice to Have • Familiarity with cloud infrastructure, containerization (Docker), Kubernetes, and CI/CD • Experience integrating AI or retrieval systems into production pipelines

We are hiring a Data Analyst to join our data team, which drives cross-company insights and supports decision-making across GTM, Product, and Business functions. Responsibilities: • Analyze and interpret data to support strategic and operational decisions • Build and maintain reports, dashboards, and visualizations used across the company • Work closely with stakeholders to understand business needs and translate them into data solutions • Ensure data quality, consistency, and reliability across systems Requirements: • 3+ years of experience as a Data Analyst • Strong analytical skills and attention to detail • Proficiency in Python and SQL • Experience working with large-scale data environments • Hands-on experience with Snowflake and/or Databricks – required • Familiarity with AI coding tools (e.g., Claude Code, Cursor) • Experience working with Git Tech stack: • Snowflake / Databricks • Modern BI and data visualization tools • Experience working in scalable data infrastructure Education: • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required • Master’s degree in a relevant field – preferred Preferred qualifications: • Experience working with large and complex datasets • Strong business understanding and ability to translate data into actionable insights • This role is suited for someone who wants to be at the core of how data informs decisions across the organization.

About Tavily We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: DevOps Engineer • Managing Kubernetes clusters across multiple environments and regions • Owning infrastructure as code for all resources • Maintaining and improving CI/CD pipelines and GitOps-based deployments • Maintaining and optimize real-time data pipelines that process billions of events per day across distributed queues and stream processors • Building out monitoring, alerting, and observability • Debugging production issues across services • Managing cloud costs and capacity planning • Working closely with a small engineering team — you'd own infra, not a slice of it What we're looking for • ~3+ years in a DevOps or platform engineering role, working in production environments • Proven experience designing and operating large-scale, distributed systems, with a solid understanding of API design, reliability, and performance at scale • Strong Kubernetes experience in a managed cloud environment • Proficiency with infrastructure as code (Terraform or similar) • Experience with GitOps-based deployment workflows • Built or maintained observability stacks (logging, metrics, alerting) • Experience handling production incidents calmly and methodically Nice to have: • Multi-region deployments • Search infrastructure • Data pipeline experience (streaming, warehousing) • Proxy/networking infrastructure at scale Why Tavily? • Full ownership — small team, you own the entire infrastructure, not a slice of it • Real scaling challenges — bursty scraping workloads, cache invalidation, multi-region, millions of daily requests • AI-native company — your infra directly powers AI agents used by leading companies in the space

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed. We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. About the Role: We are looking for an IT & Security Analyst to join our team. This role sits at the intersection of IT operations, information security, and governance — ideal for someone who enjoys variety and problem-solving. You'll manage our endpoint and SaaS environment, support security operations, and contribute to our compliance and risk management program. Key Responsibilities: IT Operations • Administer Microsoft Intune for endpoint management, device enrollment, and compliance policies. • Manage user access provisioning and deprovisioning following least-privilege principles. • Maintain the SaaS application inventory, including license management and access reviews. • Support onboarding and offboarding, including identity lifecycle management. Information Security • Support the vulnerability management program — tracking, prioritizing, and coordinating remediation. • Monitor threat intelligence feeds and translate findings into actionable recommendations. • Assist with incident response and security tooling administration. GRC • Support compliance initiatives aligned with frameworks such as SOC 2, ISO 27001, or NIST. • Assist with the third-party risk management program, including vendor assessments. • Complete security questionnaires from customers and partners. • Maintain security policies and support evidence collection for audits. Required Qualifications: • 2+ years in an IT, information security, or combined IT/security role. • Hands-on experience with Microsoft Intune and endpoint management. • Experience managing user access and permissions in a corporate environment. • Familiarity with SaaS platforms and IT asset management. • Exposure to vulnerability management tools and processes. • Understanding of threat intelligence concepts. • Familiarity with at least one compliance framework (SOC 2, ISO 27001, NIST, CIS, etc.). • Experience with security questionnaires and/or third-party risk assessments. • Strong written and verbal communication skills.

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent — but also informed. We work with some of the most innovative teams in AI — from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it's powering sales assistants, research copilots, or internal knowledge tools, we're the missing link between LLMs and the real world. The Role: Data Scientist: We are hiring a Data Scientist to join our data team, which plays a central role in shaping cross-company decisions across GTM, Product, and Business functions. Responsibilities: • Develop, implement, and maintain machine learning models on business-related data • Apply statistical methods to analyze large, complex datasets and extract actionable insights • Partner with stakeholders across Product, GTM, and Business teams to identify opportunities and solve high-impact problems • Support deployment, evaluation, and monitoring of models in production environments Requirements: • 3+ years of experience in Data Science • Strong statistical background • Solid understanding of classical machine learning models and algorithms • Experience working with business data (e.g., product, marketing, revenue, user behavior) • Proficiency in Python and SQL • Experience with modern AI coding tools (e.g., Claude Code, Cursor) • Experience working with Git Tech stack: • Data warehouses and platforms such as Snowflake and/or Databricks – required • Experience working in modern data environments and pipelines Education: • Bachelor’s degree in Statistics, Mathematics, Computer Science, or a related field – required • Master’s degree in a relevant field – preferred Preferred qualifications: • Experience working in production environments • Strong problem-solving skills and ability to work in a cross-functional environment • This role is ideal for someone who wants to work at the intersection of data, product, and business, and have a direct impact on company-wide decisions.

About Tavily: We're building the infrastructure layer for agentic web interaction at scale. Our API is designed from the ground up to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting LLMs to high-quality, trustworthy web content, we help developers build agents that are not only intelligent - but also informed. We work with some of the most innovative teams in AI - from small startups shaping the ecosystem to the largest enterprises deploying AI at scale. Whether it’s powering sales assistants, research copilots, or internal knowledge tools, we’re the missing link between LLMs and the real world. About Nebius: Nebius is leading a new era in cloud infrastructure for the global AI economy. We are building a full-stack AI cloud platform that supports developers and enterprises from data and model training through to production deployment, without the cost and complexity of building large in-house AI/ML infrastructure. Built by engineers, for engineers. From large-scale GPU orchestration to inference optimization, we own the hard problems across compute, storage, networking and applied AI. Listed on Nasdaq (NBIS) and headquartered in Amsterdam, we have a global footprint with R&D hubs across Europe, the UK, North America and Israel. Our team of 1,500+ includes hundreds of engineers with deep expertise across hardware, software and AI R&D. The Role: 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. You’re 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. We expect you to have: • 5+ years of product management experience, with a meaningful portion in developer tools, API platforms, or search and retrieval infrastructure. • Track record of shipping products in fast-moving markets, working closely with engineering and design from concept through launch and iteration. • Strong understanding of LLMs, AI agents, and how search and retrieval systems fit into agentic workflows. Hands-on technical background is a strong plus. • Degree in computer science, engineering, or a related field, with the ability to engage deeply with technical architecture and tradeoffs. • Comfortable operating in ambiguity: you can context-switch between strategic thinking and tactical execution without losing the thread. • Proven ability to influence cross-functional stakeholders and drive alignment without formal authority. • Excellent written and verbal communication: you can explain technical concepts clearly to both engineers and business stakeholders. It will be an added bonus if you have: • Experience in search, information retrieval, NLP, or adjacent domains. • Background in API-first or developer-platform businesses with both PLG and enterprise motions. • Leadership experience in a high-growth technology company, especially post-acquisition or startup-within-a-larger-org environments. • People management or mentoring experience (building the skills of other PMs). Benefits & Perks: • Competitive compensation • Career growth and learning opportunities • Flexibility and work-life balance • Collaborative and innovative culture • Opportunity to work on impactful AI projects • International environment and talented teams What's it like to work at Tavily/Nebius: Fast moving - Bold thinking - Constant growth - Meaningful impact - Trust and real ownership - Opportunity to shape the future of AI.