Tavily
Real-time search engine for AI agents
Tavily builds APIs for search, extraction, crawling, and research to connect AI agents to real-time web data. It serves developers and enterprises, enabling accurate reasoning without hallucinations by providing fresh, structured context. This powers production-grade AI applications handling billions of queries.
Sr. Manager, GTM Enablement
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.
DevOps Engineer
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.
Enterprise Account Executive
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.
Commercial Account Executive
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.
Forward Deployed Engineer
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.
Front-End Engineer
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.
Enterprise Customer Success Manager
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.