Senior Process Quality Engineer

Pano AI

1d • Hybrid

About The Position

Pano is hiring a Senior Process Quality Engineer to support the design, roll out, and continuous improvement of the operational processes that ensure our camera systems and AI-driven services meet high reliability and quality targets at scale. You will develop and implement process controls and verification across product deployment site selection and audits, manufacturing/assembly, installation, and maintenance/monitoring. You will also partner with human-in-the-loop operations to define QA for the alert review workflow and to improve tools, throughput, and accuracy of human adjudicators. This is a hands-on, cross-functional role that requires both process rigor and product empathy — you’ll dive into details while keeping the system-level risk picture front-and-center.

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.

Nice To Haves

• 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.

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.

Benefits

• In addition to base salary, full-time roles are eligible for stock options.
• Our benefits package also includes comprehensive medical, dental, and vision coverage, a matching 401(k) plan, and flexible paid time off.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level