Amer SDR

TavilyAustin, TX
Onsite

About The Position

Tavily is building the search engine for AI agents, providing an API designed to power Retrieval-Augmented Generation (RAG) and real-time reasoning in AI systems. By connecting Large Language Models (LLMs) to high-quality, trustworthy web content, Tavily helps developers build intelligent and informed agents. The company collaborates with innovative AI teams, from startups to large enterprises, powering various applications like sales assistants, research copilots, and internal knowledge tools. This role is for a Sales Development Representative (SDR) to expand on the success of the founding SDR team. The SDR will be responsible for converting high-volume developer inbound leads into qualified opportunities and developing an outbound strategy targeting teams creating cutting-edge agents and AI products.

Requirements

  • Recent graduate or early-career professional with a background in sales, analytics, data science, computer science, or a related technical field preferred.
  • Resilient, energized by building relationships, and genuinely excited to learn.
  • Genuinely curious about AI and enjoy learning what new products and teams are building, even if you’re not technical yourself.
  • Ability to balance high-volume outreach with thoughtful experimentation and feedback.

Nice To Haves

  • You are in Austin and excited about an in-person office environment (think 4 days per week).

Responsibilities

  • Promptly follow up with inbound and outbound prospects via email, LinkedIn, and calls to ensure no lead slips through the cracks.
  • Build a deep understanding of Tavily’s Ideal Customer Profile (ICP): AI engineers, data science teams, and product leaders building agentic systems to identify where they need grounded, real-time search in their product.
  • Qualify opportunities and book meetings for the Sales team, ensuring they are equipped with the correct information to win the deal.
  • Provide structured feedback on signals, workflows, and outputs to help improve Tavily based on real-life testing.
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