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[Remote] Computer Vision Sales Executive

Remote · Nigeria Full-time

Note: The job is a remote job and is open to candidates in USA. TDK SensEI is seeking a Computer Vision Sales Executive to leverage technical expertise in AI and image processing to drive revenue. The role involves managing the full sales cycle, conducting technical discoveries, and delivering product demonstrations to customers in sectors such as manufacturing and building systems.

Responsibilities

  • 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 effectively position and sell AI vision solutions
  • Leverage partner ecosystems and marketplaces to accelerate deal velocity and market penetration
  • 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
  • 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
  • Perform other related duties and ad hoc projects as assigned to support departmental and organizational goals
  • Maintain awareness of and follow all workplace safety guidelines and promote a culture of well-being
  • Ensure work is performed in accordance with established quality control and assurance processes
  • 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

Skills

  • 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
  • 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
  • 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
  • Ability to inspire confidence and credibility with both clients and cross-functional teams
  • Skilled at clearly presenting ideas and gaining buy-in from technical and business stakeholders
  • Demonstrates ownership and accountability in managing complex sales cycles and customer outcomes
  • Proactive and results-driven, with a strong focus on driving customer success and long-term value
  • Master's degree (technical or MBA)
  • 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

Company Overview

  • At TDK SensEI, we offer an Edge AI platform, complete with the tools, services, expertise, and systems to transform your industrial operations. It was founded in 2012, and is headquartered in Mountain View, California, USA, with a workforce of 51-200 employees. Its website is http://www.qeexo.com.
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