Pano AI is looking for 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. This is a hands-on, cross-functional role that requires both process rigor and product empathy, tackling the wildfire crisis with advanced AI and IoT.
What You'll Do
- 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 FMEAs, SOPs, installation checklists, and production and installation readiness gates that scale across regions and suppliers.
- Implement and operationalize KPIs & dashboards and use telemetry and ops data to detect process drift or systemic failures.
- Support root-cause investigations for process-related failures; 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 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.
What We're Looking For
- 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.
- 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.
- Excellent written and verbal communication skills.
Nice to Have
- 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.
- Familiarity with test/inspection tools, and data tooling for dashboards (SQL, Looker, Tableau, or Python).
- Prior experience building and scaling field operations processes across regions.
Technical Stack
- SQL
- Looker
- Tableau
- Python
Benefits & Compensation
- Stock options
- Comprehensive medical, dental, and vision coverage
- Matching 401(k) plan
- Flexible paid time off
Work Mode
This is a hybrid role based in San Francisco.
