Tavily

Lead foundational GTM enablement to scale sales productivity through onboarding, training, playbooks, and cross-functional programs with Sales, Product, and RevOps. Requires 5+ years in sales enablement or related GTM roles with experience in technical SaaS.

Owns strategy, roadmap, and execution for agentic search and retrieval infrastructure serving developers and enterprise customers. The role requires 5+ years of product management experience, technical fluency in LLMs and AI agents, and a computer science, engineering, or related degree.

The SDR will manage inbound and outbound prospecting, qualify opportunities, and book meetings while helping establish Tavily’s EMEA sales presence. The role requires London-based in-person work, professional German or French fluency, and strong curiosity about AI products.

Sales Development Representative responsible for qualifying inbound and outbound leads for an AI search API company, booking meetings for the sales team, and providing product feedback based on prospect interactions.

Analyzes large-scale data, builds dashboards and visualizations, and translates stakeholder needs into reliable data solutions. Requires 3+ years of experience, Python and SQL proficiency, Snowflake or Databricks expertise, and a relevant bachelor's degree.

Build backend infrastructure, APIs, and real-time data pipelines for a high-scale AI API. The role requires 5 years of software engineering experience, expertise with AWS and distributed systems, and strong ownership of reliability and performance.

The IT and Security Analyst manages endpoint and SaaS environments, user access, vulnerability management, security operations, and compliance activities. The role requires at least two years of IT or information security experience, including hands-on Microsoft Intune and endpoint management experience.

Owns and manages Kubernetes clusters, infrastructure as code, CI/CD pipelines, real-time data pipelines, monitoring, and production debugging for large-scale AI infrastructure. Requires 3+ years DevOps experience with distributed systems and cloud environments.

Builds and maintains machine learning models, applies statistical analysis, and delivers insights that guide product, go-to-market, and business decisions. The role requires 3+ years of data science experience, strong Python and SQL skills, and a bachelor's degree in a quantitative or computer science field.

Drives full sales cycle for enterprise accounts targeting AI, data platforms, and developer infrastructure buyers. Builds relationships with technical and executive stakeholders, leads complex deals, and exceeds revenue targets in a high-growth startup.

Owns full sales cycle for mid-market AI/tech companies, prospecting leads, building relationships with technical buyers, and closing deals on AI-powered search/data platform. Requires 3-7 years B2B SaaS sales experience and strong pipeline generation skills.

Build distributed, production-grade systems that acquire and structure live web data for AI search and retrieval pipelines. The role requires 3–5 years of backend or systems engineering experience, strong Python or Node.js skills, and production browser automation expertise.

Owns Tavily’s end-to-end accounts receivable function, including invoicing, collections, cash application, reporting, and controls. The role requires at least two years of AR experience and strong cross-functional communication with Sales, Customer Success, Finance, and customers.

Forward Deployed Engineer works directly with customers to design, prototype, and deploy Tavily API integrations into AI agent systems, spanning pre-sales to post-deployment. Requires 3+ years software engineering with AI expertise in RAG, LLMs, and agent stacks.

Builds and maintains developer/customer-facing web apps using TypeScript, React, and Next.js. Integrates auth (Auth0/RBAC), billing (Stripe), and backend services. Requires 2-5 years frontend experience, NYC-based.

Build and optimize scalable data infrastructure and ETL/ELT pipelines supporting a Search API. The role requires 3+ years of data engineering experience, Python, SQL and NoSQL expertise, AWS experience, and a quantitative bachelor's degree.

Guides enterprise customers through onboarding, adoption, and expansion of AI search platform. Monitors usage, drives renewals/upsells, and influences product roadmap while engaging technical and executive stakeholders. Requires 5+ years in technical customer success.