Scott Trump

Building the GTM strategy, revenue engine and sales-delivery team for an inference-first AI consultancy elevating enterprise adoption to production-ready AI as a strategic platform. Most enterprise AI today lives in context-thin foundation model API layers and narrow LLM wrappers. We help organizations expand beyond that - promoting governed, domain-adapted strategies spanning Operational AI (workflow automation, productivity, efficiency) and Strategic AI (growth, innovation, differentiation). We believe in outcomes, not just algorithms.

AI is not overhyped; it's underutilized. Enterprise AI often falls short not because of the technology, but because solutions end up either too simple to create meaningful value or too bespoke to scale. Treva helped enterprises find that middle ground where business value emerges. Treva cut through AI complexity - giving Builders the simplicity, control, and context to build what they actually needed. Our no-code framework let customers rapidly construct tailored, domain-adapted workflows - maximizing business value and scalability without engineering overhead. Treva Labs, our advisory and integration arm, helped clients validate use cases, define expected business outcomes, and ground Treva in their existing data and runtime environments. Built for simplicity, trust, and extensibility.

Sales and GTM lead for North America AI/ML team driving enterprise adoption of GenAI and GPU-accelerated workloads. Developed and executed sales, GTM, and ecosystem strategies across multiple industry verticals, partnering with enterprise and midmarket customers to move AI from experimentation to scalable, production-ready deployments with measurable business impact. Owned AI vision and GTM strategy across hundreds of cloud sales, engineering, and cross-functional teams. Served as de facto partner enablement lead, translating complex AI capabilities into partner-ready strategies and use cases. Built agile partner strategies with NVIDIA, AI labs, GSIs, and ISVs to accelerate adoption. Helped customers architect, adapt, and deploy custom AI solutions—focusing on business value, production readiness, and risk mitigation.

Consult, advise, and incubate early-stage startups and transformational ventures within enterprise organizations. Partner with leadership on business ideation, GTM strategy, market positioning, product-delivery vision, revenue models, partner ecosystems, and organizational structure—often serving in interim CxO roles. Help startups translate their innovation into enterprise value by understanding market segmentation, vertical use cases, AI usage patterns, production architectures, and go-to-market frameworks that resonate with enterprise buyers. Client solutions built on AI/ML applications, GPU/ASIC platforms, context engineering, inference, Responsible AI, public cloud, and quantum computing. Formerly WildRobot Labs.

West Coast sales leader for first enterprise sales team, specializing in data platforms and early cloud AI solutions in Google's public cloud. Partnered with strategic enterprise accounts across multiple industries to adopt public cloud architectures and managed services. Managed key Tech and Life Sciences accounts. Co-founded cross-disciplinary working groups for enterprise business strategy and healthcare/life sciences initiatives. Served as GCP sales liaison to Alphabet business units and Google Engineering product teams.

Partnered with enterprise, midmarket, and startup accounts to adopt AWS' public cloud architectures and managed services. One of the first four AWS hires in California, building foundational sales processes and establishing early partner relationships during AWS' commercial expansion.

Artificial Intelligence - Implications for Business Strategy