EyeQ Monitoring

• Design and execute a strategic sales plan that drives incremental revenue aligned to company goals • Implement and coach a methodology-based selling approach across the team • Recruit, hire, and develop a team of high-performing direct sales representatives • Lead onboarding and training for new sales team members • Own pipeline management and forecasting accuracy across your division • Provide ongoing coaching (virtual and in-person) to improve individual and team performance • Establish and track performance against key performance indicators (KPIs) • Partner with cross-functional leaders to align sales efforts with broader business objectives • Develop and deliver sales enablement resources, tools, and training for the team

• Design and build scalable AI/ML infrastructure for VLM training, tuning, deployment, and lifecycle management • Leverage agentic coding tools (e.g., Claude Code, Codex) to generate code, tests, and documentation • Direct AI-assisted development by crafting prompts, reviewing outputs, and ensuring production-quality results • Own code quality through reviews with a focus on scalability, performance, and maintainability • Contribute to backend systems, API design, and occasional full-stack development work • Collaborate closely with product, design, and engineering teams to deliver high-impact solutions

• Define and own the architecture for QA automation and software verification frameworks • Build scalable, high-quality automation and test harnesses across our product suite • Leverage agentic AI tools (e.g., Claude Code, Cursor, Codex) to generate, refine, and scale test automation • Guide and direct AI-driven test creation and validation strategies • Ensure performance, scalability, and maintainability of QA systems • Partner closely with engineering to embed testing into the development lifecycle • Collaborate with product, design, and DevOps teams to ensure high-quality releases • Continuously evaluate and improve QA processes, tools, and frameworks

• Build high-quality frontend applications using React + TypeScript • Use agentic AI coding tools (Claude Code, Cursor, AntiGravity) daily to generate code, tests, and documentation • Guide and direct AI output by writing strong prompts, reviewing results, and ensuring code quality • Own code reviews and ensure scalability, maintainability, and performance • Collaborate with backend engineers on API design and occasional full-stack tasks • Work closely with product, design, and engineering teams • Mentor junior developers and support a culture of AI-accelerated engineering

• Manage and maintain AWS environments using Infrastructure as Code (AWS CDK, VPCs, IAM, security, monitoring) • Use agentic AI tools daily to generate and refine IaC, scripts, documentation, and tests • Build and support AWS service-based components such as Lambda, S3, and microservices • Improve and maintain CI/CD pipelines (GitLab CI/CD) • Handle ongoing maintenance tasks including backups, patching, logging, certificate management, and monitoring • Partner closely with engineering teams to ensure secure, scalable cloud operations