Full-Time

Product Marketing Lead

Posted on 10/31/2025

Tavily

Tavily

51-200 employees

Search API for LLMs and RAG

No salary listed

New York, NY, USA

In Person

Category
Growth & Marketing (2)
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Requirements
  • 3+ years in product marketing at a technical, developer-first, or AI-focused company.
  • A strong grasp of APIs, infrastructure, or LLM-based products—and the ability to explain them clearly and compellingly.
  • Proven track record of taking products or features from concept to launch, especially in early-stage environments.
  • Excellent storytelling skills across formats—writing, visuals, presentations, video, and more.
  • Experience working cross-functionally with product, engineering, design, and GTM teams.
  • A self-starter who thrives in ambiguity and loves moving fast.
  • Based in NYC or open to relocating—we believe great things happen when smart people share space.
Responsibilities
  • Own and evolve our product positioning and messaging across developer, startup, and enterprise audiences.
  • Lead go-to-market efforts for new features, launches, and growth experiments, across self-serve, PLG, and sales-assisted funnels.
  • Partner closely with product, engineering, sales, and DevRel to build high-impact collateral: landing pages, one-pagers, docs, demos, decks, and more.
  • Drive narrative and content across channels—from case studies and blog posts to product videos and launch campaigns.
  • Develop a deep understanding of our users and ecosystem through interviews, usage data, and direct feedback.
  • Build and scale our content and community strategy, working closely across all departments.
  • Stay sharp on the competitive landscape, market trends, and emerging use cases.

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.

INACTIVE