VP / AVP Sales — Technology & AI

VP / AVP Sales — Technology & AI

Department: Strategic Sales Division

Sales Quota $5M

PART A — JOB DESCRIPTION

About Damco Solutions

Damco Solutions is a US-headquartered technology services firm delivering enterprise AI-led solutions, application development, product engineering, and technology modernization to mid-market and enterprise clients across North America, Europe, the Middle East, and Asia. The firm serves prominent clients across

Financial Services, Insurance, Manufacturing, Logistics, Healthcare, and Education verticals. Damco's Technology & AI practice is one of its fastest-growing capabilities, with an active track record in AI strategy and implementation, GenAI application development, agentic systems and MCP-based architecture, cloud-native product engineering, and enterprise application modernization. The firm builds real,

production-grade AI solutions — not strategy decks — and works with clients at the point where AI moves from experimentation to enterprise scale.

The Role

We are seeking a senior enterprise sales professional to join Damco's Sales function as VP or AVP of Sales — Technology & AI. This is a hunter-first role: the primary mandate is to originate, develop, and close new business across Damco's Technology and AI services portfolio, with a target of $5M in bookings in FY 2026–

27. The role reports to Partner – Enterprise Growth & Strategic Sales.

You are expected to run your own pipeline, engage directly with CTO, VP Engineering, CDO, and CISO-level buyers, and bring the kind of technical credibility that opens doors in a market flooded with AI consultancies making undifferentiated promises. The ability to have a genuinely informed conversation about AI

implementation — what is real, what is ready, and what creates enterprise-grade business value — is what will set you apart.

Key Responsibilities

PIPELINE & BUSINESS DEVELOPMENT

• Originate and develop a pipeline of new Technology & AI opportunities across Damco's target verticals, focusing primarily on net-new logo acquisition

• Own the full sales cycle from first contact through signed SOW — qualification, discovery, solution scoping, commercial negotiation, and close

• Build and maintain a $12M–15M pipeline to support $5M in annual bookings

• Identify and prioritize target accounts where AI-led development, agentic systems, or product engineering mandates are actively in scope

AI - LED SOLUTION SELLING

• Sell Damco's AI Strategy & Implementation services: enterprise AI readiness assessments, AI architecture design, and production-grade AI deployment programs

• Sell GenAI application development engagements: LLM-based product builds, Retrieval-Augmented Generation (RAG) implementations, multi-modal AI applications, and custom model fine-tuning

• Sell agentic AI and MCP (Model Context Protocol) development: autonomous agent frameworks, multiagent orchestration systems, and enterprise-grade MCP server development that enables AI systems to interact with business data and tools at scale

• Sell AI-native application development: cloud-native builds where AI is a first-class architectural component from day one, not a bolt-on addition to legacy systems

• Sell product engineering mandates: full-cycle product builds, QA automation (including AI-assisted testing), DevOps enablement, and platform engineering

• Engage as a credible peer at the executive level; translate complex AI and engineering capabilities into business outcome narratives — productivity gains, automation ROI, cost reduction, and competitive differentiation — that resonate with enterprise buyers

COLLABORATION

• Work within the Sales function alongside peer salespeople; participate in monthly pipeline reviews and contribute to overall targets

• Introduce cross-sell opportunities into existing accounts where Technology & AI capabilities are relevant alongside other practice areas

• Co-develop RFP responses, solution proposals, and client presentations with Damco's pre-sales, AI practice, and delivery leadership

MARKET INTELLIGENCE & GTM CONTRIBUTION

• Maintain deep awareness of the AI and enterprise technology landscape: LLM platforms (OpenAI, Anthropic, Google Gemini, Meta Llama), AI infrastructure (Azure AI, AWS Bedrock, Google Vertex), agent frameworks (LangChain, CrewAI, AutoGen), and the rapidly evolving MCP ecosystem

• Track enterprise AI adoption trends by vertical: where buyers are in their AI maturity curve, what use cases are generating ROI, and where the next wave of implementation spend is forming

• Provide market feedback to Sr. Leadership and the AI practice team to inform GTM strategy, service packaging, and capability roadmap

• Contribute to Damco's Technology & AI practice collateral, case study development, and thought leadership as the commercial voice of the practice

PART B — IDEAL CANDIDATE PROFILE

Who We Are Looking For

• The ideal candidate for this role is a senior enterprise technology services sales professional who is genuinely literate in AI — not someone who has added "AI” to a deck of legacy services, but someone who understands how production AI systems are actually built, what makes them succeed in enterprise environments, and where the real implementation complexity lies.
• They bring an established network of technology decision-makers — CTOs, VPs Engineering, CDOs, and Heads of Product — at mid-market and enterprise companies who are actively evaluating AI implementation partners. These are not cold contacts. They are people who will take this candidate's call because they have earned the right to make it.
• They are a hunter by nature and a practitioner by credibility. They have sold complex, multi-phase technology services engagements — not SaaS licenses — and understand the difference between a product pitch and a genuine services relationship. They can hold a substantive conversation about LLM architecture, agentic systems, and MCP frameworks with an engineering leader, and then translate that into a business case that a CFO will sign.

Non-Negotiable Requirements

• 8–15 years of enterprise technology services sales experience, with a consistent track record of closing $300K–$3M+ services engagements

• 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

• 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

• 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

• 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

• 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

• Comfortable with complex commercial structures: T&M engagements, fixed-price milestones, retainer based AI advisory, and hybrid delivery models

• US-based with unrestricted right to work

Highly Desired Attributes

• 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

• Experience selling into verticals where AI adoption is accelerating: Financial Services, Insurance, Healthcare Technology, Logistics & Supply Chain, or Enterprise SaaS

• 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

• Prior experience at a mid-size technology services firm (200–1,500 employees) where they drove significant new business independently — not just account management within a large SI's account team

• Network that extends into AI-forward buyer communities: AI / ML engineering leaders, CDOs, Heads of Product at companies with active AI development programs

• Experience selling offshore-leveraged delivery models to US buyers — comfortable navigating pricing, timezone, and quality conversations from first-hand experience

• Exposure to or relationships within the UAE or broader Gulf technology market (an advantage given Damco's established regional footprint) Personality & Working Style

What We Look For

AI-Literate : Genuinely curious about AI and follows the space closely. Can distinguish real enterprise use cases from hype, and holds that line with buyers.

Hunter Mentality : Drives pipeline creation from their own network and outreach. Not dependent on inbound leads or marketing-qualified lists.

Technical Credibility Can go one level deeper than the average salesperson in a technical conversation. Earns respect from engineering-led buyers without pretending to be an engineer.

Ownership Mindset Treats the $5M target as a personal commitment, not a corporate KPI. Knows their pipeline, knows their gaps, and takes action.

Executive Presence Confident at C-suite. Can hold a strategic AI transformation conversation, not just a vendor pitch. Comfortable presenting to boards.

Collaborative Works well within the broader Sales function. Shares market intelligence, supports peer salespeople on cross-sell, and contributes to joint pursuits.

Why This Role

• The enterprise AI market is generating genuine, accelerating demand in 2026 — buyers are moving from pilots to production, and skilled sellers in this space can build pipeline faster than at any prior moment in technology services history

• Damco builds real AI solutions — GenAI applications, agentic systems, and MCP implementations already in production — giving you credible proof points in a market full of consultancies selling AI strategy without delivery capability

• You will operate with significant autonomy, selling into accounts and verticals of your own identification, with direct access to Sr. Leadership and the CEO for strategic deal support

• The MCP ecosystem is an emerging and largely untapped commercial opportunity; being among the first commercial voices in this space for a firm that can actually deliver is a genuine first-mover advantage

• Compensation is competitive and structured to reward outperformance above the $5M base target

Compensation & Structure

Compensation Overview: Base + OTE on 100% quota ($5M) achieved + Incentive on booked revenue

Reporting Line: Partner — Enterprise Growth & Strategic Sales

Location: US-based, remote; travel to client sites and Damco offices as required

Start Date: Target: within 30 days of offer acceptance