Focalsystems
Field Service Technician (Installations) – London, UK (Fixed-Term, Minimum 20 Hours/Week)
London Region, United Kingdom. Posted 2 months ago
The role
The Field Service Technician will complete installations for customers. This involves mounting, connecting, and configuring camera hardware and onboarding products into the system.
What you will do
- Installation of camera hardware: mounting, connecting and configuring in accordance with company standards.
- Respond promptly to installation requests and ensure customer SLAs are met.
- Maintain accurate records of installation activities using company-provided tools.
- Onboarding/scanning products into the system.
- Operate power tools safely and efficiently to complete installations.
- Adhere to safety protocols and guidelines.
- Work collaboratively with team members to ensure timely completion of installations.
- Maintain a high level of attention to detail to ensure installation tasks meet quality standards.
- Meet or exceed speed and quality Key Performance Indicators (KPIs) consistently.
- Communicate effectively with supervisors and team members.
Required qualifications
- Proven Field Service Technician Experience
- Strong technical aptitude and troubleshooting skills
- Proficiency in using power tools and other installation equipment
- Physical Stamina: Strong physical stamina to work on feet and perform physically demanding tasks for extended periods (up to 9 hours)
- Detail-Oriented: Excellent attention to detail
- Time Management: Ability to work well under pressure and meet tight deadlines
- Communication Skills: Effective communication skills to liaise with supervisors, team members, and customers
- Valid driver's license
- Reliable transportation to travel to sites
- Ability to work nights and weekends
Nice to have
- Previous experience in field service, installation, construction, or a related field
Benefits
- Paid Time Off
- Pension
- Sick Leave
About the company
Focal Systems is the industry leader in retail AI solutions. Their mission is to automate and optimise brick-and-mortar retail using deep-learning computer vision.