VP of Sales

NinjaTech AI • Mountain View, CA

2d • Onsite

About The Position

NinjaTech AI is seeking its first VP of Sales to build and scale the enterprise go-to-market engine. This is a foundational role focused on defining the sales architecture, hiring the initial sales team, establishing the sales playbook, and driving revenue growth. The target buyers are C-suite and VP-level decision-makers in large organizations, with deal sizes ranging from six to seven figures and involving complex, consultative, multi-threaded sales cycles. The product is an "unmetered intelligence workforce" – autonomous AI agents that function as a horizontal platform transforming operations across all departments, not a point solution. The ideal candidate will have extensive experience selling enterprise platforms (e.g., Salesforce, ServiceNow, Workday) and understand how to sell infrastructure that becomes indispensable. While AI expertise is not required, a deep understanding of enterprise platform sales, including multi-stakeholder engagement, land-and-expand strategies, and long-cycle, high-ACV deal construction, is crucial.

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 the enterprise sales organization from 0-to-1 or 1-to-10. Has hired first enterprise reps, written the first enterprise playbook, and closed initial seven-figure deals.
• Enterprise Revenue Scaling: Demonstrable experience driving enterprise ARR from early revenue through significant scale (ideally from single-digit millions to $50M+ ARR), with direct accountability for an enterprise book of business.
• High-ACV Deal Construction: Personally closed six- and seven-figure enterprise deals. Proficient in multi-threading enterprise opportunities, engaging economic buyers, technical evaluators, security teams, procurement, and legal simultaneously.
• Strategic + Tactical Range: Ability to architect global enterprise sales strategy and close seven-figure deals. Comfortable presenting to boards and performing live demos for CTOs.
• Cross-Functional Leadership: Experience working collaboratively with product, engineering, marketing, and customer success teams.
• Enterprise Procurement Fluency: Extensive 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 the concept of an unmetered intelligence workforce; 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, personally closing initial deals while building the scaling team.
• Hire and Develop the Founding Enterprise Sales Team: Recruit and lead the first wave of enterprise Account Executives, Sales Development Representatives, 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 is client-agnostic and horizontally applicable, 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 to turn 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, to amplify reach, add credibility, and accelerate deal velocity.
• Navigate Enterprise Security, Compliance, and Procurement: Build internal processes and collateral to ensure NinjaTech passes enterprise vetting, including security reviews, SOC 2 discussions, data residency requirements, and procurement negotiations.
• Bridge Sales and Product: Serve as the voice of the enterprise market, channeling customer insights into product roadmap priorities, enterprise packaging, and pricing strategy in collaboration with CEO, CPO, and engineering leadership.
• Represent the Company: Act as an external-facing leader at conferences, in C-suite meetings, with investors, and in the press, serving as the commercial face of NinjaTech AI.

Benefits

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

What This Job Offers

• Job Type: Full-time
• Career Level: Executive
• Education Level: No Education Listed