Account Executive

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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…