> Markdown version of [/jobs/ext/3814183-vp-avp-sales-technology-ai](https://www.wearedevelopers.com/jobs/ext/3814183-vp-avp-sales-technology-ai). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # VP / AVP Sales -- Technology & AI - **Company:** Damco Inc - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $10,400.0 - **Contract:** Permanent contract - **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Business Systems, Software as a Service, Cloud Engineering, Data Infrastructure, Machine Learning, Software Engineering, AI Infrastructure, Retrieval-Augmented Generation, Transfer Learning, Large Language Models, Multi-Agent Systems, Agentic-AI, Model Context Protocol - **Published:** October 18, 2026 - **Apply:** https://www.thejobnetwork.com/job/28947575-b44c-4ddb-9a6a-a4f73e7ad5df/vp-avp-sales-technology-ai ## About the Role * 8-15 years of enterprise technology services sales experience, with a consistent track record of closing $300K-$3M+ services engagements \n * Demonstrated ability to sell AI or data-led technology services: at minimum, experience positioning and closing engagements involving AI/ML development, GenAI application builds, data platform work, or cloud native application development \n * Active network of technology decision-makers (CTO, VP Engineering, CDO, Head of AI/Data, Head of Product) at US mid-market and lower-enterprise companies who are active buyers of technology services \n * Genuine familiarity with the AI implementation landscape: able to distinguish between LLM fine-tuning, RAG, agentic systems, and MCP-based architecture in a client conversation - without needing a technical pre-sales resource in the room \n * Proven ability to run an independent enterprise sales cycle: own a pipeline, qualify rigorously, manage multi-stakeholder deal dynamics, and close without heavy marketing or BDR support \n * Strong understanding of the technology services competitive landscape: can credibly position Damco against offshore-heavy SIs, boutique pure-play AI consultancies, hyperscaler professional services arms, and Big 4 advisory practices, * Hands-on experience selling GenAI application development or agentic AI systems to enterprise buyers - particularly engagements where the firm built and deployed LLM-based products, autonomous agents, or MCP server implementations in production \n * Experience selling into verticals where AI adoption is accelerating: Financial Services, Insurance, Healthcare Technology, Logistics & Supply Chain, or Enterprise SaaS \n * Familiarity with the MCP (Model Context Protocol) ecosystem and the emerging market for enterprise AI infrastructure that connects LLMs to live business systems, APIs, and data sources