Zeitview 

Operations

• Manage the overall pipeline of sites in the telecom pipeline
• Track risks to client timelines, revenue delivery and address and escalate risks
• Review pipeline metrics, identify key findings and actions in collaboration with other responsible team members and representatives from other teams, present results in relevant weekly meetings
• Help to identify and strategize objectives, analyze and present OKRs for this area of the global business
• Address client requests (prioritization, timing requests, etc), manage pipeline of ad-hoc client requests
• Manage team-level resourcing, including training and staffing, with support
• Direct management of Telecom Lead Analyst (regional manager in APAC)
• Assist in meeting client needs by ensuring high quality analysis, monitoring quality metrics and taking appropriate actions, collaborating with flight and analysis teams

Manager, Global Telecom Analysis Operations

Customer Success Manager

• As a Customer Success Coordinator, you will be the main point of contact for your assigned clients. You will be responsible for day-to-day client engagement, coordination, platform onboarding, and problem-solving for your clients.
• Manage initiatives to refine and increase efficiency in the sales team’s processes where applicable.
• Understand clients' business needs and objectives to effectively serve their needs
• Collaborate with cross-functional teams to ensure a seamless customer experience
• Support account activities such as customer check ins, product calls and QBRs
• Facilitate non-conformities and ensure corrective actions are taken by appropriate parties
• Communicate customer needs and feedback to other internal teams through the customer listening program
• Support client onboarding and setup and facilitate ongoing customer training when needed
• Clearly communicate product updates, enhancements, and new offerings to clients
• Work closely with Sales, Marketing, and Product teams to align customer expectations and deliver a seamless experience
• Collaborate with the Technical Support team to resolve customer issues in a timely manner and provide ongoing education and guidance
• Support processes to monitor key customer success metrics (e.g., churn rate, customer satisfaction scores, NPS)

Customer Success Coordinator

Artificial Intelligence

• Design and develop novel AI computer vision models across multiple verticals such as solar, wind, and commercial properties
• Develop AI models that operate on a variety of sensor data ranging from RGB to thermal imagery
• Develop AI models that operate on a variety of image sources such as drones, fixed wing aircraft
• Design and implement VLMs and agentic AI systems to extend multimodal understanding and enable autonomous decision-making across inspection workflows
• Collect, organize, and analyze data for machine learning model development
• Utilizing cloud technologies such as AWS to train and deploy AI models
• Collaborating with and presenting model results to other members of the AI team and other cross-functional teams
• Write documentation and tests on how to run, test, and use various models and programs that you develop
• Mentor and coach more junior developers within the AI department

Senior AI/ML Scientist II

QA Engineer

• Assist with daily operations and enhance workflow efficiency
• Help analysts with internal and external clarifications and requests
• Keep team leaders informed of process and scope changes and assist in monitoring adaptation
• Assist in customer communications regarding project updates and follow ups
• Ensure seamless coordination between internal teams and clients
• Track and resolve QC issues, monitor QC rejections, and support next steps for resolution
• Define responsible parties for corrective actions and urgency/resolution timelines
• Analyze QC rejections by gathering data from multiple sources and document resolutions
• Communicate with Flight Operations team regarding recaptures
• Assist with analyzing recurring QC trends to prevent future issues
• Monitor and maintain high-quality data standards across the team and support corrective actions

QA Coordinator, Telecom

Full-stack Engineer

• Design, develop, and maintain backend services and APIs using Java and Spring
• Build scalable, reliable, and secure systems on AWS leveraging cloud-native services
• Optimize and maintain PostgreSQL databases, including schema design and query tuning
• Actively use AI coding assistants to accelerate development and improve code quality
• Write clean, maintainable, and well-tested code following engineering best practices
• Participate in technical design reviews, code reviews, and knowledge sharing
• Mentor junior engineers and contribute to a culture of learning and experimentation
• Collaborate closely with Product, Architecture, and Ops teams to deliver high-impact features
• Continuously improve system performance, observability, and developer productivity

Manager, Global Telecom Analysis Operations

Customer Success Coordinator

Senior AI/ML Scientist II

QA Coordinator, Telecom

Senior Software Engineer