Computer Vision Sales Executive
$150,000–$150,000 year
On-siteSan Clemente, California, United States
Job Summary
Drive revenue through new customer acquisition, account expansion, and retention within computer vision and AI-enabled solutions. Own the full sales cycle, leading complex, multi-stakeholder engagements with technical and C-suite decision-makers from discovery through production deployment. Conduct high-impact discovery sessions to translate deep learning and edge AI concepts into clear business value, collaborating with engineering to design tailored cloud and SaaS solutions. Manage customer pilots and proof-of-concept initiatives, ensuring seamless transition to production with measurable ROI. Build strategic partnerships with system integrators and cloud providers like AWS and Azure to accelerate go-to-market efforts. Maintain accurate CRM data and forecast reliable revenue projections while articulating responsible AI principles and data security considerations.
Required Qualifications
- Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, AI/Data Science, Business, or Marketing) or equivalent experience
- 5+ years of B2B sales experience with a consistent track record of meeting or exceeding quotas
- Experience managing complex, multi-stakeholder sales cycles, preferably in enterprise environments
- Proven success selling AI/ML, computer vision, SaaS, cloud, or other advanced technology solutions
- Strong consultative selling skills with the ability to articulate value and ROI
- Proven ability to develop and close new business in AI, computer vision, or advanced technology solutions
- Excellent communication and presentation skills, with the ability to engage technical and executive stakeholders
- Ability to translate complex AI and computer vision concepts into clear business outcomes
- Strong negotiation and influencing skills
- Foundational understanding of computer vision, machine learning, or image processing technologies
- Ability to quickly learn and communicate technical concepts effectively
- Ability to manage multiple complex sales cycles and work cross-functionally with technical teams
- Ability to lead consultative sales engagements, including discovery, demonstrations, and pilot/POC programs
- Proficiency with CRM tools and pipeline management
- Must be willing and able to travel as needed to support customer meetings, sales presentations, and business development activities (up to 40% travel is required)
Desired Qualifications
- Master's degree (technical or MBA) preferred
- Experience in target industries (e.g., manufacturing, logistics, smart infrastructure) is a plus
- Familiarity with partner ecosystems (e.g., AWS, Azure, system integrators) preferred
- Certifications in cloud platforms such as AWS Certified Cloud Practitioner, AWS Solutions Architect, or Microsoft Azure Fundamentals (AZ-900)
- AI/ML certifications (e.g., Microsoft Azure AI Engineer Associate, Google Professional Machine Learning Engineer)
- Sales methodology certifications (e.g., MEDDICC, Challenger Sales, SPIN Selling)
- Any certification in data, analytics, or AI tools/platforms is a plus
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