Founding Sales
LinkupNYC (NY), San Francisco (CA) or Paris (FR)Posted 27 March 2026
Job Description
Founding Sales
ABOUT THE ROLE
We’re looking for a top-tier sales to join our go-to-market team as the first account executive and work hand-in-hand with our founders and the rest of the GTM team.
You’ll play a key role in bringing Linkup, the search layer for AI agents, to market, working with some of the most advanced teams in AI.
Your core responsibilities will be to:
- Own the full sales cycle: from outreach and discovery to demo, negotiation, and close
- Partner with high-intent inbound leads across AI, data, and enterprise segments
- Run compelling product demos and solutioning sessions with technical teams
- Understand customer workflows deeply and position Linkup’s APIs and infrastructure as the foundation for their AI systems
- Collaborate closely with Product and Engineering to craft custom solutions and feed insights from the field
- Build repeatable playbooks for selling to AI-native teams and enterprise innovation groups
- Contribute to GTM strategy, pricing, and messaging based on market feedback
- Track and report key metrics across pipeline, win rate, and expansion opportunities
REQUIREMENTS
You’re a great match if you:
- Are excited to help build Google for AI agents, and believe in Linkup’s mission
- Have 4+ years of experience in B2B SaaS or technical sales (AI, developer tools, or data infra a plus)
- Are comfortable engaging with technical buyers, founders, CTOs, engineers, and data teams
- Bring a consultative approach, you focus on understanding pain points before pitching features
- Have a proven track record of closing multi-stakeholder, high-value deals
- Communicate clearly, tell a compelling story, and can tailor the narrative to any audience
- Thrive in a fast-paced, high-ownership startup environment
EXAMPLE PROJECTS
- Close a deal with an AI infrastructure startup building multi-agent workflows on Linkup
- Run discovery and expansion with a Fortune 500 innovation lab using Linkup for compliance-grade retrieval
- Build GTM playbooks for developer adoption, from first API call to paid usage
- Partner with Product and Marketing to refine messaging for enterprise buyers
DETAILS
The ideal candidate will play a central role in our GTM team, partnering closely with the founders to spearhead groundbreaking products. Your expertise will shape the future of AI‑powered applications and bring our vision to life.
We offer a flexible remote‑work policy- see the details here https://www.notion.so/Linkup-Remote-Work-Policy-d593322ac4c84988b1c7c327d6c4d39e?pvs=21.
Join us and leverage your expertise to push the boundaries of AI!
ABOUT LINKUP
OUR VISION
We believe in a future of AI agents and the agentic web. These digital entities can create more value for humanity than we ever could alone, but they depend on the internet to operate, collaborate, take action, and gather information.
AI agents need web search. To perform well, they require information that is current, reliable, and context‑specific—not the diffuse, steadily aging knowledge frozen at their last training cut‑off.
Modern web search is built for humans, not AIs. Instead of trusted facts, it serves links, ads, and click‑bait. People want visually engaging pages; AI systems need structured truth. An AI can absorb oceans of data, while human attention barely skims the surface. Humans think visually and intuitively; AI reasons in latent space.
Web 2.0 is sunsetting. The deck is being reshuffled, and the Bing‑Google search oligopoly is crumbling. Indexing ever more pages is no longer the goal; semantically organizing facts for AI systems is. In the coming agentic web, Google’s ad‑driven model has no natural home.
Search for AI must be rebuilt from the ground up. We are reconstructing the web as a rigorously structured knowledge layer, mapping every concept, entity, and claim into a coherent semantic graph. This foundation delivers verified facts and rich context to AI instantly, unlocking faster reasoning, higher accuracy ... (truncated, view full listing at source)
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