Full-Time

Vice President of Sales

Marty AI

Updated on 9/11/2026

Lavu

Lavu

No salary listed

Tampa, FL, USA

Remote

In-person work in Tampa is expected; relocation is possible for ideal candidates.

Category
Sales & Account Management (1)
Required Skills
Sales
Point of Sale (POS)
Data Analysis
Financial Modeling
Requirements
  • Previous sales pipeline was primarily self-generated, with a repeatable system for identifying accounts, creating urgency, and reaching decision-makers.
  • Experience closing middle-market deals in the $100,000 to $300,000 range within weeks to a few months.
  • Experience selling analytical products such as data, intelligence, business performance software, financial technology, or workforce analytics.
  • Ability to translate analytical findings into financial impact on a chief financial officer's profit-and-loss statement.
  • Ability to write concise, specific outbound emails without relying on templates.
  • Ability to build a commercial motion without revenue operations, content, or established brand infrastructure.
Responsibilities
  • Own the full sales cycle from pipeline creation through close and subscription conversion.
  • Build the outbound engine, including account list-building, trigger-event sourcing, Clay and Sales Navigator workflows, outreach sequences, and outbound emails.
  • Source pipeline from trigger events such as CFO, COO, and VP hires, private-equity acquisitions, minimum-wage increases, post-audit-season budget cycles, and Department of Labor activity.
  • Run discovery with senior financial and operating buyers and anchor value to identifiable cash exposure.
  • Close the initial audit engagement, coordinate delivery with the CEO, present findings, and convert customers to subscriptions.
  • Document loss reasons and winning patterns to create the sales playbook.
  • Provide market feedback that informs product direction, including objections, integrations, and positioning language.
  • Recruit and hire the sales team once the target profile is established.
  • Work directly with the CEO and participate on the leadership team.
Desired Qualifications
  • Experience selling into restaurant groups, hospitality operators, or multi-unit food service organizations.
  • Experience at a data or intelligence software company, restaurant technology company, business-intelligence platform, or workforce-analytics company.
  • Experience in a founder-led, pre-scale environment where the product and pitch were still evolving.
  • A personal network including CFOs, COOs, or multi-unit operators at restaurant groups with 10 to 200 locations.
  • Restaurant experience.

Company Size

N/A

Company Stage

N/A

Total Funding

N/A

Headquarters

N/A

Founded

N/A