VP of Sales

NinjaTech AIMountain View, CA
$200,000 - $220,000Onsite

About The Position

NinjaTech AI is seeking its first VP of Sales to establish and scale the company's enterprise go-to-market strategy. This is a foundational role focused on building the sales architecture, hiring the initial sales team, creating the sales playbook, and driving revenue growth. The position involves selling a horizontal AI platform to C-suite and VP-level executives in large organizations, focusing on six and seven-figure deals with complex, consultative sales cycles. The ideal candidate will have experience scaling revenue at a platform company and understands how to sell infrastructure that becomes indispensable across an organization. Experience selling CRM or similar enterprise platforms is transferable to selling an intelligence workforce. The product is an "unmetered intelligence workforce" – autonomous AI agents designed to replace manual work across various departments. It's a platform solution, not a point solution, transforming how finance, sales, engineering, marketing, HR, legal, and operations teams function. The role requires a leader who can articulate the strategic imperative of an AI workforce to Fortune 500 executives and build a repeatable, scalable sales organization to support this vision.

Requirements

  • Enterprise Platform Sales Experience: Scaled revenue at a platform company selling into the enterprise (e.g., Salesforce, ServiceNow, Workday, Atlassian, Datadog, Snowflake). Understands multi-stakeholder, multi-use-case, land-and-expand enterprise platform selling with high-ACV deals, long cycles, and C-suite engagement.
  • Builder Track Record: Served as a founding or early commercial leader at a high-growth technology company, building an enterprise sales organization from 0-to-1 or 1-to-10. Experience hiring first reps, writing the first playbook, and closing seven-figure deals.
  • Enterprise Revenue Scaling: Demonstrable experience driving enterprise ARR from early revenue through significant scale (ideally $50M+ ARR), with direct accountability for an enterprise book of business.
  • High-ACV Deal Construction: Personally closed six- and seven-figure enterprise deals. Ability to multi-thread enterprise opportunities, engaging economic buyers, technical evaluators, security teams, procurement, and legal.
  • Strategic + Tactical Range: Ability to architect global enterprise sales strategy and close deals. Comfortable presenting to boards and performing live demos.
  • Cross-Functional Leadership: Experience working with product, engineering, marketing, and customer success teams.
  • Enterprise Procurement Fluency: Experience navigating enterprise security reviews, SOC 2 and compliance requirements, MSAs, DPAs, data residency constraints, and multi-stakeholder procurement processes.
  • Intellectual Curiosity: Genuine excitement about autonomous intelligence workforce technology. Ability to hold credible conversations with enterprise CTOs about technical aspects like isolated VMs and infinite context.

Nice To Haves

  • Experience selling into multiple verticals (client-agnostic enterprise selling motion).
  • Familiarity with self-serve + enterprise sales-led growth models (PLG + enterprise).
  • Existing network of enterprise buyers across Fortune 500 / Global 2000.
  • Experience with enterprise channel and partner go-to-market strategies (systems integrators, consultancies, VARs).
  • Background in or exposure to regulated industries (oil & gas, chemical, manufacturing, financial services, legal).
  • Experience with enterprise licensing agreements, multi-year contracts, and usage-based pricing models at scale.
  • MBA or equivalent from a top program, or equivalent real-world commercial education.

Responsibilities

  • Build the Enterprise Go-To-Market Engine: Design and implement the end-to-end enterprise sales architecture, including account segmentation, territory planning, pipeline management, deal desk, security and procurement navigation, commission structures, and forecasting for six- and seven-figure deals with 60-120 day sales cycles.
  • Own the Revenue Number: Take full accountability for enterprise ARR growth, including new logo acquisition, expansion, and retention. Set targets, build pipeline, and deliver revenue.
  • Hire and Develop the Founding Enterprise Sales Team: Recruit the first wave of enterprise Account Executives (AEs), Sales Development Representatives (SDRs), and Solutions Engineers. Establish the team's culture, compensation philosophy, and performance standards.
  • Sell the Platform, Not the Point Solution — Into the Enterprise: Build an enterprise sales motion that works across industries and departments, selling an intelligence workforce that replaces and augments human labor at scale. Engage multiple stakeholders (CFO, CTO, VP of Engineering, General Counsel, CHRO), navigate procurement and legal, and articulate organizational transformation.
  • Land and Expand Across the Enterprise: Architect the enterprise expansion motion, turning single-department pilots into enterprise-wide platform commitments. Negotiate enterprise licensing agreements and drive multi-year, multi-million-dollar expansions.
  • Build Strategic Enterprise Partnerships and Channel: Develop and manage the partner and channel ecosystem, including systems integrators, consultancies, VARs, and technology alliances.
  • Navigate Enterprise Security, Compliance, and Procurement: Manage security reviews, SOC 2 discussions, data residency requirements, and procurement negotiations. Build internal processes and collateral to facilitate smooth enterprise vetting.
  • Bridge Sales and Product: Serve as the voice of the enterprise market internally, channeling customer insights into product roadmap priorities, enterprise packaging, and pricing strategy.
  • Represent the Company: Act as an external-facing leader at conferences, in customer meetings, with investors, and in the press.

Benefits

  • Competitive compensation
  • Meaningful equity
  • Opportunity to build the enterprise commercial organization at a company defining the autonomous AI agent category
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