Full-Time

Commercial Account Executive

Tavily

Tavily

51-200 employees

Search API for LLMs and RAG

No salary listed

United States

In Person

Category
Sales & Account Management (1)
Required Skills
Sales
Forecasting
Requirements
  • 3–7 years of B2B SaaS or technology sales experience, ideally selling to commercial or mid-market customers.
  • Proven ability to meet or exceed quota and manage a full sales cycle.
  • Strong prospecting and pipeline generation skills.
  • Experience selling into technical organizations or product-led companies.
  • Ability to clearly communicate the value of a technical product to both technical and business stakeholders.
  • Strong organizational, communication, and negotiation skills.
  • Self-starter mindset with the ability to operate in a high-growth startup environment.
Responsibilities
  • Own the full sales cycle from prospecting through close for commercial and mid-market accounts.
  • Identify and develop new opportunities through outbound outreach, inbound leads, and partnerships.
  • Build relationships with technical buyers, product leaders, and business decision-makers.
  • Lead discovery conversations and demonstrate how Tavily’s platform can solve customer problems.
  • Partner with Sales Engineering and Product teams to support technical evaluations and proof-of-concepts.
  • Manage pipeline, track opportunities, and maintain accurate forecasts in CRM.
  • Develop repeatable approaches for pipeline generation and deal execution.
  • Provide feedback from customers to help inform product development and go-to-market strategy.
Desired Qualifications
  • Experience selling AI, APIs, developer tools, or data infrastructure.
  • Familiarity with developer-led or product-led sales motions.
  • Experience working in early-stage or high-growth startups.
  • Knowledge of modern sales methodologies such as MEDDICC or MEDDPICC.
  • Comfort engaging with engineering teams, developers, and data platform leaders.

Tavily offers a search API for large language models (LLMs) and Retrieval-Augmented Generation (RAG) to access up-to-date, verifiable information from many online sources. The API returns optimized, contextually relevant results that AI agents can use to perform research, answer questions, and reduce confabulations. It differentiates itself by pairing a usage-based commercial API with an open-source project (GPT Researcher) that showcases practical use and builds a developer community. The goal is to become a core tool for AI development by providing reliable external knowledge and scalable, verifiable data access for AI agents and applications.

Company Size

51-200

Company Stage

Acquired

Total Funding

$320M

Headquarters

New York City, New York

Founded

2023

Simplify Jobs

Simplify's Take

What believers are saying

  • Nebius acquisition announced February 2026 integrates Tavily into AI cloud platform.
  • Snowflake Intelligence launch partnership enables secure external data fusion.
  • $25M Series A from Insight Partners fuels 30-person team expansion across cities.

What critics are saying

  • Nebius deal fails under EU/US antitrust scrutiny over Yandex ties.
  • OpenAI and Perplexity built-in search erodes Tavily API demand within 6 months.
  • Cohere and Groq internalize RAG layers, slashing Fortune 500 revenue by 50%.

What makes Tavily unique

  • Tavily delivers agentic search API optimized for LLMs and RAG workflows.
  • GPT Researcher open-source agent gained 20,000 GitHub stars driving adoption.
  • Assaf Elovic's ex-Google AI expertise powers real-time verifiable data retrieval.

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Benefits

Health Insurance

Dental Insurance

Vision Insurance

Hybrid Work Options

Paid Vacation

Growth & Insights and Company News

Headcount

6 month growth

-7%

1 year growth

-9%

2 year growth

1%
Industrial Engineer AI
Mar 3rd, 2026
Auto-Tool AI Turns Supplier Research into Quality Scorecards in Minutes

Auto-Tool AI turns supplier research into quality scorecards in minutes. Mar 3, 2026 Adversarial AI Pipeline Replace manual supplier research with AI-powered auto-tool selection that transforms basic vendor queries into structured quality scorecards - demonstrated turning 'how to evaluate project management suppliers' into summarized reports with step-by-step assessment criteria. Hatz AI's integration of Perplexity, Firecrawl, and Tavily scrapes supplier data, reads documentation, and synthesizes findings that would take procurement teams hours to compile manually. From the source. "You can take what would be a normal Google search with some research and reading articles and clicking around and saving tabs... but you can turn that into something that is more interactive, that's more of a conversation, and with AI can lead to truly actionable steps." - Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Its take. IndustrialEngineer.ai see procurement teams spending 4-6 hours per supplier on qualification research. When auto-tool AI compresses that to 20 minutes while delivering more comprehensive scorecards, the math is simple: a team evaluating 50 suppliers per quarter recovers 200+ hours annually. Key takeaways. * 019 out of 10 users report daily AI use for search/research - redirect this to structured supplier evaluation * 02Auto-tool selection intelligently chooses between Perplexity (summaries), Firecrawl (page scraping), and Tavily (filtered search) based on query type * 03Python code interpreter enables statistical analysis of supplier performance data with higher accuracy than LLMs alone * 04Transforms scattered Google results into actionable supplier assessment criteria and scoring frameworks * 05Secure chat foundation ensures supplier data and evaluation criteria stay confidential Watch the source. Automated Supplier Quality Scorecard (2 videos: Your First 5 AI Use Cases (AI Navigator Certification) | Hatz AI | Math & Spreadsheet Analysis for Data Insights) Video embedded above - watch without leaving the site Extracted and verified via Adversarial AI Pipeline Get the IE.AI weekly brief. Top 3 AI-distilled industrial engineering insights, every Sunday. No fluff. No spam. Unsubscribe anytime with one click.

Yahoo Finance
Feb 11th, 2026
Nebius Agrees to Acquire Tavily in $275 Million AI Search Deal

Nebius plans to buy AI agent search startup Tavily as it expands its neocloud services and software offerings.

Nebius
Feb 11th, 2026
Nebius announces agreement to acquire Tavily to add agentic search to its AI cloud platform

Discover the most efficient way to build, tune and run your AI models and applications on top-notch NVIDIA® GPUs.

Calcalist
Feb 11th, 2026
Nebius to acquire one-year-old Israeli AI startup Tavily in deal worth up to $400 mil | Ctech

The company’s agentic search layer is set to become the cornerstone of Nebius’s bid to build a full AI platform.

Bloomberg L.P.
Feb 10th, 2026
Nebius to acquire AI agent search company Tavily for $275M

Nebius Group, a cloud computing provider that split from Russian internet company Yandex in 2024, has agreed to acquire Tavily for $275 million. Tavily develops software that enables AI agents to search for current information needed for tasks including coding and financial trading. As part of the deal, Tavily founder and CEO Rotem Weiss and his team will join Nebius. The acquisition strengthens Nebius's position in the AI infrastructure space by adding capabilities that help AI systems access real-time data for decision-making tasks.