The role asks for someone to build and scale the structure of a teleoperations team: defining roles, setting up processes, planning shifts across sites, and running the hiring pipeline from profiles to onboarding. A strong candidate has already helped an operational team grow, thinks in systems, and is comfortable with both people and spreadsheets. Working alongside site leads, project managers, and AI researchers is central, so translating their needs into team setup and priorities matters more than technical depth.
How it fits the AI era
The team being scaled supports robots that sense and act in warehouses and factories, so operations work sits close to where AI meets physical work. AI can help with scheduling, productivity measurement, and pipeline tracking, but organizing people, judging quality, and coordinating across sites stay human tasks. The role is less about building AI and more about making the human side of an AI robotics operation run well.
How it builds AI experience
Experience would come from running operations for a teleoperations team that supports AI driven robots, learning how shift coverage and productivity data connect to real deployments. Building it means getting fluent in measuring team output and understanding what the AI researchers and site leads need day to day. An interest in robotics or AI is enough to start; no technical background is required.
Worth showing
- Scaling operational teams
- Process and system design
- Shift and coverage planning
- Data and spreadsheet fluency
This is our own read, written from the employer's posting and the company's Spotlight. The employer's posting is the source of truth for the role.
About Sereact
Sereact builds AI software that gives robots the intelligence to pick, sort, and inspect objects in warehouses and manufacturing, per the company.
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