Qadinc
Senior Account Executive - Champion AI
Chicago, IL, United States · Senior
Sponsorship not specified$130k-$150kDetected 15 hours ago
AWSAgentic AISalesAccount ManagementForecastingSupply ChainERPCustomer SuccessCadenceCommunication
About the role
- We value diversity and strive for an inclusive environment where everyone feels empowered to contribute to our success.
- This is a rare opportunity for a seasoned Senior Account Executive who thrives in a fast-moving, performance-oriented environment and is ready to make a measurable mark on a company at an inflection point.
- QAD | Redzone: 30+ Years of Manufacturing Domain Expertise QAD has spent over three decades earning deep trust within the industries it serves.
Responsibilities
- Drive Existing Customer Expansion: Own the end-to-end sales cycle from upsell identification to closure for QAD's Champion AI agents, upgrading to our Adaptive ERP platform on AWS and cross-selling our entire suite of products within our existing active customer base.
- Formulate AI Business Cases: Drive deep client engagement within existing accounts, leading meetings to uncover operational pain points and establishing the business case for agentic AI.
- Collaborate on Account Strategy: Partner closely with Customer Success Managers (CSMs) through a regular cadence of touchpoints (e.g., joint account planning) to ensure alignment and identify expansion triggers.
- Manage Complex Expansion: Own commercial engagement for high-value cross-sell opportunities within strategic accounts.
- Relationship Management: Maintain and foster deep relationships with executive sponsors and key stakeholders across your assigned customer portfolio.
- Tech-Savvy Practitioner: Demonstrated experience using AI tools within your own sales workflows and day-to-day processes to maximize efficiency.
- Self-Prospector: A proven ability to generate your own pipeline leveraging relationships, partners, outreach across various channels and leveraging modern tools & AI to increase results.
- Communication: Exceptional writing, presentation, and relationship-building skills.
Requirements
- 6-8 years of experience selling SaaS complex solutions, with a proven track record of over quota achievement.
- Ability to sell a highly technical, forward-looking solution based on measurable business outcomes and ROI, rather than product features.
- Proven Performer: 6-8 years of experience selling SaaS complex solutions, with a proven track record of over quota achievement.
- Account Management Background: Extensive experience in a customer account executive or expansion role
- AI Sales Acumen: A strong understanding of how to sell AI capabilities, position the value of agentic AI, and build business cases around predictive insights and intelligent automation.
- In order to survive and thrive, manufacturers must be able to innovate and change business models at unprecedented rates of speed.
Nice to have
- Ideally started as a BDR/SDR and successfully transitioned into a high-performing Account Executive or Sales Executive.
Skills
- Exceptional writing, presentation, and relationship-building skills.
Compensation
- $130,000 - $150,000 USD annually
- $260,000 - $300,000 USD (uncapped commission match)
- Placement within our pay range will vary based on knowledge, skills, experience, and market location variations as well as internal peer equity.
Benefits
- Maintain accurate forecasting, pipeline health, and deal hygiene in the CRM.
- QAD Redzone helps to enable QAD's vision for the Adaptive Enterprise.
Company info
- Target and pursue expansion opportunities within existing active customers to maximize the adoption of our AI solutions.
- Willingness to travel up to 50% as needed to meet with customers.
- Account Growth & Whitespace Analysis: Target and pursue expansion opportunities within existing active customers to maximize the adoption of our AI solutions.
- What We Are Looking For
- Travel: Willingness to travel up to 50% as needed to meet with customers.
This listing is sourced directly from Qadinc's careers page and normalized into a canonical job model.