AI / Data Enterprise Sales Executive

4 Staffing Corp; Orlando (FL); On-site; USD 150,000 - 175,000; Full time

Benefits offered by this job

Competitive compensation

Revenue-based commission

Up to 20% travel

Job summary

A high-growth consulting firm is seeking an Enterprise Sales Executive to drive sales of AI, data analytics, and digital transformation solutions. This remote role requires engaging C-suite executives, leading strategic discussions, and closing complex consulting engagements. Ideal candidates have at least 7 years of B2B sales experience, with successful sales in data engineering and analytics services. Competitive compensation includes a base salary of $150,000 – $175,000, with significant commission opportunities.

Qualifications

• 7+ years in enterprise B2B sales; 5 years in consulting/professional services.
• Successful sales experience in Data Engineering/Generative AI/Analytics.
• Experience leading complex, multi-stakeholder enterprise sales cycles.

Responsibilities

• Deliver against revenue quota through new customer acquisition.
• Lead C-level conversations across business leadership.
• Drive opportunity strategy from initial discovery to contract close.

Skills

Enterprise B2B sales experience

AI solutions selling

Data Engineering knowledge

Analytics consulting

Digital transformation strategy

Tools

Databricks

Snowflake

Microsoft Fabric

Azure Synapse

Job description

Enterprise Sales Executive – AI, Data & Digital Transformation

Overview

Our client, a high-growth digital transformation and AI consulting firm helping enterprises turn complex data into actionable insights through secure, scalable AI and data platforms is seeking quota-carrying Enterprise Sales Executives with deep experience selling AI, GenAI, data analytics, and digital transformation services into enterprise accounts.

This role is ideal for a consultative seller who can engage C-suite and VP-level executives, lead strategic conversations around AI adoption, data modernization, automation, and cloud transformation, and close complex, services-led deals.

This is a remote role with a strong preference for candidates ideally based in Atlanta, Chicago, or Florida.

*No Visa Transfers/Sponsorship at this time

Key Responsibilities

• Own and consistently deliver against a revenue quota through new logo acquisition and expansion of existing enterprise accounts
• Lead C-level and VP-level conversations across Technology, Data, Analytics, Digital, and Business leadership
• Sell high-value consulting and services engagements including:
  • AI & GenAI solutions (LLMs, agentic workflows, cognitive automation)
  • Predictive analytics and advanced analytics
  • Data engineering, lakehouse, and data modernization initiatives
  • Cloud and platform transformation (Azure, AWS, GCP)
  • Intelligent automation, computer vision, and NLP solutions
• Act as a trusted advisor, translating business challenges into AI- and data-driven solutions with measurable ROI
• Partner closely with solution architects, delivery leaders, and executives to shape deals, define scope, and close complex engagements
• Drive opportunity strategy from initial discovery through proposal, pricing, and contract close
• Maintain accurate pipeline forecasting and reporting within CRM
• Represent the firm at executive briefings, industry events, and client workshops

Ideal Background & Experience

• 7+ years of enterprise B2B sales experience, with at least 5 years selling consulting or professional services
• Must Have: Successful Sales experience in Data Engineering/Generative and Agentic AI/Analytics
• Proven, recent experience selling one or more of the following:
  • AI / Machine Learning / GenAI solutions
  • Data & analytics consulting services
  • Digital transformation or cloud modernization engagements
• Strong familiarity with modern data and AI ecosystems, including:
  • Databricks, Snowflake, Microsoft Fabric, Azure Synapse
  • Azure AI / Azure OpenAI, AWS AI/ML, GCP AI
  • Data Foundry, lakehouse architectures, and analytics platforms
• Demonstrated success leading complex, multi-stakeholder enterprise sales cycles
• Comfortable discussing:
  • Data modernization strategies
  • AI adoption and governance
  • Automation and operational efficiency
  • Cloud transformation and multi-cloud architectures
• Background in or exposure to Microsoft Azure–centric environments preferred
• Experience selling into one or more of the following industries:
  • Professional Services
  • Healthcare & Life Sciences
  • Logistics & Supply Chain
  • Media, Advertising, and Digital Platforms
  • Energy, Utilities, or Smart Infrastructure
  • Education, Public Sector

Key Offerings You'll Sell

• AI Platforms & Workbenches: Secure, cloud-based environments for data processing, labeling, and model development
• AI & GenAI Solutions: LLM-powered applications, agentic workflows, NLP, and content automation
• Cognitive Automation: Intelligent document processing, workflow automation, and decision support
• Computer Vision: Image and video analytics, anomaly detection, and object tracking
• Data Engineering & Analytics: Scalable pipelines, data lakes, lakehouse architectures, and BI modernization
• Web Scraping & Data Acquisition: AI-powered, no-code platforms for compliant data extraction and enrichment

What Success Looks Like

• Building a strong, qualified enterprise pipeline within the first 90 days
• Closing complex, six- and seven-figure consulting engagements
• Establishing trusted relationships with senior enterprise buyers
• Expanding client footprint through cross-sell of AI, analytics, and platform services
• Partnering effectively with delivery teams to ensure client success and repeat business

Compensation & Location

• Base Salary: $150,000 – $175,000
• Commission: Revenue-based commission plan
• Location: Remote (preference for Atlanta, Chicago, or Florida)
• Travel: Up to ~20%

Why Join

• Sell cutting-edge AI, GenAI, and data solutions that solve real business problems
• Partner with a firm known for secure, scalable, and responsible AI delivery
• Work closely with technical leaders and innovators shaping the future of AI adoption
• Competitive compensation and significant upside tied to performance