VP of Sales- AI/LLM

Define and execute a repeatable go-to-market strategy for AI/LLM compression and inference-cost reduction solutions targeting enterprise, ISV, and strategic channel partners.

Develop market segmentation, ICPs, pricing models, and sales motions for different buyer personas (ML/LLM engineers, platform owners, CTOs, procurement).

Own revenue forecasting, quota setting, and pipeline cadence to consistently meet and exceed targets.

Recruit, coach, and scale a distributed sales organization including account executives, solutions engineers, sales enablement, and channel/account managers.

Establish sales processes, playbooks, and KPIs that drive predictable growth while preserving a consultative, customer-first selling approach.

Cultivate a high-performance culture focused on diversity, inclusion, and continuous development.

Drive strategic enterprise deals and lead executive-level engagements to secure flagship customers and reference accounts.

Build and manage a partner ecosystem (cloud providers, systems integrators, resellers) to scale distribution and integration pathways.

Collaborate with product, engineering, and AI research teams to translate customer needs into product roadmaps and prioritized features.

Implement CRM discipline, sales metrics, and reporting to optimize conversion, sales cycle times, and deal economics.

Develop enablement programs and technical sales materials to empower sellers and solutions engineers on complex AI/LLM value propositions.

Partner with legal and finance on contracting strategies, enterprise procurement processes, and price governance.

Represent the company at industry events, conferences, and customer briefings to build market credibility and drive inbound demand.

Work with marketing on demand generation, case studies, and analyst relations to amplify product differentiation and commercial momentum.

15+ years of sales experience, with 7+ years in senior leadership (VP or equivalent) roles. Proven record of generating $12M+ in annual revenue through enterprise sales;

Demonstrated success in consultative selling to large corporates and blue-chip clients;

Previous experience in the AI industry and/or within top consulting firms (e.g., EY, Accenture, Deloitte, McKinsey). Strong commercial and strategic acumen, with the ability to translate complex technology into business value;

Startup or scale-up experience, comfortable working hands-on in fast-paced, evolving environments;

Deep understanding of enterprise sales cycles and solution selling;

Excellent relationship-building, negotiation, and presentation skills with senior executives;

Analytical, data-driven, and capable of influencing internal and external stakeholders effectively.

Strong operational discipline: forecasting, quota setting, CRM excellence, and pipeline hygiene.

Experience building and leading distributed, cross-functional teams and working closely with product and engineering counterparts.

Understanding of advanced AI technologies is a plus;

Excellent negotiation, presentation, and executive relationship-building skills.

MBA or a combination of technical (Science/Engineering) and business degrees;

Experience selling products that address technical buyers such as ML engineers, platform teams, or DevOps organizations.

Background in building partner ecosystems with cloud providers or systems integrators.

Track record in high-growth deep-tech or AI startups with complex, consultative sales cycles.