Computer Vision Sales Executive

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. - Collaborate with technical teams to design and present tailored cloud and AI-driven solutions. - 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. 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. 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. Partnership & Go-to-Market Enablement - Build and manage relationships with strategic partners, including system integrators, hardware providers, and cloud platforms (e.g., AWS, Azure, etc). - 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. QUALIFICATIONS Education/Experience: - 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. Knowledge/Skills/Abilities: - Strong consultative selling skills with the ability to articulate value and ROI. - Excellent communication and presentation skills, with the ability to engage technical and executive stakeholders. - Foundational understanding of computer vision, machine learning, or image processing technologies. - Ability to manage multiple complex sales cycles and work cross-functionally with technical teams. - Proficiency with CRM tools and pipeline management. - Willingness to travel within ASEAN.