Senior Process Quality Engineer

Pano AI is a growth-stage hybrid-remote start-up focused on early wildfire detection and intelligence. The Senior Process Quality Engineer will support the design and improvement of operational processes to ensure high reliability and quality of camera systems and AI-driven services.

Responsibilities:

• Own process quality across the product deployment lifecycle: site selection & audits → manufacturing/assembly → installation & commissioning → maintenance & monitoring, as well as human-in-the-loop operations
• Develop and maintain process FEMAs, SOPs, installation checklists, and production and installation readiness gates that scale across regions and suppliers
• Implement and operationalize KPIs & dashboards (e.g., first-pass yield, install success rate, MTTR) and use telemetry and ops data to detect process drift or systemic failures
• Support root-cause investigations for process-related failures (incoming defects, installation errors, field incidents); own containment and durable corrective actions and verify effectiveness
• Partner with human-in-the-loop operations: define QA for alert adjudication workflows, design audits for human review accuracy, and contribute quality requirements to tools and SOPs used by operators
• Coach and enable field teams (installers, technicians, ops) with training, checklists, job aids, and feedback loops to continuously improve execution quality
• Work cross-functionally with Operations, Hardware, Software, Customer Success to ensure traceability between process controls, system risks, and verification evidence

Requirements:

• BS in Mechanical Engineering, Electrical Engineering, Industrial Engineering, Manufacturing Engineering, Systems Engineering, or equivalent experience
• 7+ years' experience in process quality, manufacturing process engineering, field operations quality, or similar roles for products that combine hardware, firmware and software (embedded + cloud + AI)
• Proven track record developing and maintaining process artifacts (e.g. FMEAs, installation/commissioning checklists, supplier audits, production readiness gates, and acceptance criteria)
• Strong experience running RCAs (root-cause analysis), CAPA/8D follow-through, and proving effectiveness of corrective actions
• Experience instrumenting and using operations/telemetry data to detect process issues and drive continuous improvement
• Hands-on experience with field installs, audits, or supplier site visits — comfortable traveling for hands-on assessments
• Excellent written and verbal communication skills — able to present technical findings and risk decisions to both engineers and executive stakeholders
• Prior experience with camera systems, telecom/tower installs, enterprise security cameras, industrial IoT, or telecom infrastructure operations
• Experience designing QA programs for human-in-the-loop monitoring/alerting (operator QA, audit sampling, accuracy KPIs)
• Familiarity with test/inspection tools (e.g., handheld test rigs, ICC/ISP verification checks), and data tooling for dashboards (SQL, Looker, Tableau, or Python)
• Prior experience building and scaling field operations processes across regions