Jobs at Tavily

As a Customer Success Manager, you will guide enterprise customers through onboarding, adoption, and expansion of AI-powered solutions, acting as both a product expert and trusted advisor.

The DevOps Engineer will manage Kubernetes clusters, own infrastructure as code, improve CI/CD pipelines, and maintain observability in a production environment.

The Data Scientist will develop machine learning models, analyze complex datasets, collaborate with teams, and support model deployment in production.

The DevOps Engineer will manage Kubernetes clusters, implement infrastructure as code, maintain CI/CD pipelines, optimize data pipelines, and ensure system observability while collaborating with a small engineering team.

The Forward Deployed Engineer will design and deploy integrations of Tavily's API, work directly with customers, and contribute to RAG applications.

Design, build, and maintain data management systems and ETL pipelines, ensuring data quality and collaborating with teams for optimal solutions.

Own the end-to-end accounts receivable function including invoicing, collections, cash application, credits, AR reporting, month-end close support, and cross-functional billing coordination with Sales, Customer Success, Legal, and Finance.

The Commercial Account Executive will manage the complete sales cycle, build relationships with clients, and collaborate with teams to drive AI sales in mid-market companies.

Responsible for owning the sales cycle, developing enterprise opportunities, and building relationships with technical and executive stakeholders in a fast-growing startup.

As a Sales Development Representative, you'll qualify leads, follow up with prospects, and help establish Tavily's EMEA presence while working closely with the US team.

The role involves building web acquisition systems for AI, focusing on browser automation, handling dynamic web conditions, and collaborating with diverse teams to improve real-time data retrieval.

As a Sales Development Representative at Tavily, you'll follow up with prospects, qualify opportunities, and provide feedback to support AI product development.

The Sr. Manager, GTM Enablement will develop onboarding and training programs, enhance sales processes, and improve rep productivity in AI sales cycles.

The Data Analyst will analyze data to drive strategic decisions, build reports and visualizations, and ensure data quality across systems.

Build and maintain fast, reliable front-end systems for real-time LLM workflows. Implement UIs using TypeScript/React/Next.js, collaborate with product, improve performance and reliability, own core systems, and contribute to architectural decisions in a fast-paced startup.

The Senior Product Manager will own a core product area, focusing on strategy, execution, and improvements in AI-powered search and retrieval systems, collaborating with engineering and go-to-market teams and handling customer engagement.

The Software Engineer will design and build distributed systems, optimize data pipelines, improve system performance, and contribute to architectural decisions.