Lavendo

Lavendo

Founding GTM, AI Equipment Technology (SF)

San Francisco

Sponsorship not specified$80k-$100kDetected 23 days ago
Agentic AIEmail MarketingHubSpotSalesforceCRMSalesNegotiationOutbound SalesLeadershipCommunication

About the role

  • 100,000+ equipment dealers and rental companies across North America.
  • A market that software has barely touched.
  • Just you, the founder, and a massive market that's wide open.

Responsibilities

  • Drive demand generation: Cold calls, LinkedIn outreach, email campaigns, and trade show attendance - targeting equipment dealers and rental companies across North America
  • Own the full sales cycle: First call, discovery, demo, negotiation, and close - independently, start to finish
  • Build the playbook - document what works, systematize the motion, and create the foundation that the next sales team will run on
  • Own the CRM - keep HubSpot/Salesforce clean and your pipeline honest
  • This is the first GTM hire at a YC-backed AI startup - meaning you own the revenue motion from day one: cold outbound, demos, negotiation, close.
  • Get in the field (1-2x/month) to meet customers, walk trade show floors, and build relationships with the people actually running these businesses
  • You identify the target, build the sequence, pick up the phone, and go.
  • Heavy outbound, field travel, building from zero.
  • You want to build something.
  • You'll work directly with the founder and have the opportunity to engage with the company's investors, including a seasoned operator with deep experience building and scaling sales organizations.

Requirements

  • 2-5 years in B2B sales as a BDR/SDR or early AE (no closing experience required!) - ideally at a startup where you had to figure it out with no playbook and no brand name opening doors for you
  • You can show your numbers - calls per day, meetings booked per week, pipeline generated from scratch.
  • You are not fighting for market share in a crowded category - you're opening a new one.

Nice to have

  • You don't wait to be told what to do.
  • High agency isn't a buzzword here - it's a survival skill.
  • You love the grind.
  • That's not a downside of this job - it's the job.
  • And you're into it.
  • You speak operator.
  • You understand how equipment dealers and rental company owners think, what they care about, and how to earn their trust.
  • The first GTM hire writes the playbook.

Compensation

  • $80k-$100k

Benefits

  • You've sold to real businesses - restaurants, home services, dental clinics, manufacturers, equipment dealers, or similar "non-tech" operators.
  • Early-stage equity.

Company info

  • Our client is a YC-backed AI startup operating at the intersection of artificial intelligence, industrial SaaS, and equipment technology.
  • With their team based in San Francisco's South Park neighborhood, they are a small, fast-moving founding team targeting one of the most underserved markets in North America.
  • Hundreds of thousands of equipment dealers and rental companies - the people who keep construction sites running, farms operating, and industrial fleets moving - are being left behind by software.
  • Our client is changing that by deploying AI agents that work 24/7 to help these businesses respond faster, sell more, and maximize fleet utilization.
  • The platform plugs directly into a dealer's existing tech stack to handle sales inquiries, rental requests, service follow-ups, CRM updates, and outbound communications - all without adding headcount.
  • This is not a pre-revenue idea.
  • There is real product-market fit, paying customers, and a massive greenfield market ahead.
  • And you're the first one in.
  • No SDR to hand you leads.
  • Lavendo partners with startups and high‑growth companies to help them hire top‑tier sales, GTM, and technical talent.
  • This role is with one of our clients; we'll share full details about the company and interview process as we get to know you and confirm mutual fit.

This listing is sourced directly from Lavendo's careers page and normalized into a canonical job model.