Business Development Executive (AI Platform)

Role: Business Development Executive

Type: Senior/Seasoned Executive | Global (US, EU, APAC, ME)

BU: QpiAI AI Products (AgentHive, QpiAI Pro)

Position Summary

Lead enterprise and government engagements for QpiAI AI products, driving high-value

deployments ($1M+) with Fortune 1000, AI-intensive organizations, and public sector institutions.

Structure technical partnerships solving complex challenges beyond conventional AI

applications.

Key Responsibilities

• Identify and qualify opportunities with complex AI challenges across enterprise and government sectors.
• Navigate distinct procurement processes: enterprise (IT, security, legal) and government (RFP/RFQ, compliance, policy).
• Structure multi-phase engagements from discovery to production with flexible pricing models: platform licensing, consumption-based, outcome-based, deployed engineering, hybrid.
• Conduct technical discovery on AI architecture, complexity, and scaling bottlenecks.
• Navigate & quote ;build vs. buy & quote; by demonstrating time-to-value, risk mitigation, and technical advantages.
• Address technical validation: architecture reviews, POCs, security/compliance assessments.
• Build relationships with enterprise (CXOs, Heads of AI/ML) and government stakeholders (ministries, defense, national labs).
• Partner with system integrators, AI consultancies, and hyperscalers.
• Develop industry-specific narratives: pharma/biotech, fintech, manufacturing, scientific computing, defense.
• Create technical case studies, reference architectures, and thought leadership content.
• Collaborate with sales on account planning and deal orchestration.
• Provide marketing with insights, competitive intelligence, and messaging refinement.
• Drive product/market feedback loop for GTM and product development.
• Co-present with QpiAI technical leaders at customer engineering reviews.

Required Experience

• Experience at AI/ML platform startups during 0→1 or 1→10 scaling phases.
• Track record of enterprise/government customer acquisition and high-value complex technical sales.
• Deep understanding of production ML systems, agent architectures, and AI adoption challenges.
• Knowledge of modern AI monetization: consumption-based, outcome-based, licensing, deployed engineering, hybrid models.
• Ability to engage in architecture discussions with ML engineers and researchers.
• Understanding of LLMs, agent systems, multi-modal AI, and enterprise deployment considerations.
• Experience navigating long sales cycles with multi-stakeholder procurement and technical validation.
• Technical depth balanced with business acumen and creative deal structuring.
• Consultative selling focused on problem discovery.
• Startup operator mindset: scrappy, resourceful, comfortable with ambiguity.
• Strong stakeholder management and cross-functional collaboration.

KPIs & Success Metrics

• Annual bookings across revenue streams and market segments.
• Qualified pipeline (enterprise + government).
• Customer deployment success and strategic partnerships.
• Win rate on build vs. buy situations.

Ideal Candidate Profile

• You have: Scaled AI/ML products in enterprise/government markets, built credibility with technical buyers and executives, navigated early-stage product-market fit, and thrived in ambiguous environments.
• You are NOT: Expecting established playbooks, uncomfortable with technical depth or early-stage fluidity.