Computer Vision Sales Executive

Computer Vision Sales Role

A Computer Vision Sales role combines technical expertise in AI/image processing with sales strategy to drive revenue. Responsibilities include conducting technical discoveries, delivering product demonstrations, managing customer pilots, and selling AI-enabled solutions, particularly for sectors like manufacturing, building systems, and more.

Key Responsibilities

Revenue Generation & Sales Execution

• Achieve and exceed assigned revenue targets through new customer acquisition, account expansion, and retention within computer vision and AI-enabled solutions.
• Own and manage the full sales cycle, including prospecting, qualification, technical discovery, solution development, negotiation, and closing.
• Lead complex, multi-stakeholder sales engagements across enterprise and mid-market customers.
• Develop and execute strategic account plans to expand high-value relationships and drive long-term growth.
• Build and maintain trusted relationships with senior stakeholders, including technical and business decision-makers (e.g. Operations, Engineering, IT, and C-suite).
• Act as the primary point of contact across the customer lifecycle, ensuring alignment from pilot through production deployment.
• Maintain accurate CRM data, pipeline visibility, and forecasting; deliver reliable revenue projections and strategic insights.

Technical Sales, Discovery & Solution Design

• Conduct high-impact discovery sessions to understand operational challenges and identify opportunities for AI-driven vision solutions.
• Translate complex computer vision technologies (e.g., deep learning, image processing, edge AI) into clear, business-oriented value propositions.
• Collaborate with product and engineering teams to design tailored, scalable solutions aligned with customer requirements.
• Present and demonstrate AI-enabled software, vision systems, and integrated solutions to both technical and non-technical audiences.
• Support technical validation, feasibility assessments, and integration discussions throughout the sales process.

Cloud & Solution Selling

• Position and sell cloud-based, SaaS, AI/ML, and edge computing solutions aligned to customer business outcomes.
• Translate complex technical concepts (cloud architecture, analytics, machine learning) into business value propositions.
• Collaborate with technical teams to design and present tailored cloud and AI-driven solutions.
• Support technical validation, integration discussions, and solution architecture alignment during the sales process.
• Advise customers on AI adoption maturity, governance considerations, and scalable deployment strategies.
• Articulate responsible AI principles, data security, and compliance considerations as part of solution positioning.

Cross-Functional Collaboration

• Work closely with Product, Engineering, Marketing, and Customer Success to align offerings with customer needs.
• Provide feedback on market requirements, product performance, and competitive insights.
• Support internal stakeholders in developing proposals, pricing strategies, and overall deal structuring.
• Partner with Customer Success to ensure successful onboarding, adoption, and realization of AI solution value.

Pilot Execution & Customer Adoption

• Lead customer pilots and proof-of-concept initiatives, including defining success criteria and managing stakeholder expectations.
• Coordinate site readiness, hardware validation, and deployment considerations for vision-based systems.
• Drive pilot-to-production transitions, ensuring measurable ROI and successful adoption of AI solutions.
• Partner with Customer Success and delivery teams to ensure seamless onboarding and realization of business outcomes.

Industry & Market Development

• Identify and develop new business opportunities across target verticals such as manufacturing, logistics, smart infrastructure, and
• building systems.
• Analyze market trends, competitive positioning, and emerging AI use cases to inform sales strategy.
• Position computer vision solutions as part of broader digital transformation and automation initiatives.
• Develop territory and account-based growth strategies aligned with organizational objectives.

Partnership & Go-to-Market Enablement

• Build and manage relationships with strategic partners, including system integrators, hardware providers, and cloud platforms (e.g.,
• AWS, Azure).
• Drive joint go-to-market initiatives, co-selling strategies, and partner-influenced pipeline growth.
• Enable partners with knowledge, tools, and resources to effectively position and sell AI vision solutions.
• Leverage partner ecosystems and marketplaces to accelerate deal velocity and market penetration.

Cross-Functional Collaboration

• Collaborate with Product, Engineering, Marketing, and Customer Success to align solutions with customer needs and market
• demand.
• Provide feedback on product performance, feature gaps, and customer requirements to inform roadmap development.
• Support pricing strategies, proposal development, and deal structuring for complex opportunities.
• Contribute to continuous improvement of sales processes, tools, and methodologies.

Additional Responsibilities

• Participate in industry events, trade shows, and networking activities to increase brand awareness and generate pipeline within AI and computer vision markets.
• Stay current on advancements in computer vision, machine learning, edge computing, and related technologies to maintain subject matter expertise.
• Contribute to thought leadership initiatives (e.g., webinars, case studies, whitepapers) to position the organization as an innovator in AI solutions.
• Other Duties: Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals.
• Workplace Safety: Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being.
• Quality and Compliance: Ensure work is performed in accordance with established quality control and assurance processes.
• Ethics and Integrity: Adhere to the company's Values and Code of Conduct and uphold the highest standards of honesty, integrity, and ethical behavior in all business activities.

Qualifications

The successful candidate for this position must be able to perform each essential function satisfactorily with or without reasonable accommodation. The qualifications and working conditions listed below are representative of those required for the position.

Education/Experience:

Bachelor's degree in a relevant field (e.g., Computer Science, Engineering, AI/Data Science, Business, or Marketing) or equivalent experience.

Master's degree (technical or MBA) preferred.

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.

Experience in target industries (e.g., manufacturing, logistics, smart infrastructure) is a plus.

Knowledge/Skills/Abilities

Sales & Business Development Expertise

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.

Communication & Influence

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.

Technical & Domain Knowledge

Foundational understanding of computer vision, machine learning, or image processing technologies.

Familiarity with partner ecosystems (e.g., AWS, Azure, system integrators) preferred.

Ability to quickly learn and communicate technical concepts effectively.

Execution & Collaboration

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.

Certifications:

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.

Leadership

Ability to inspire confidence and credibility with both clients and cross-functional teams.

Skilled at clearly