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Weekday AI

Proactive software engineer recruitment via referrals

Maintenance Scheduler

Facilities ManagementConfirmed live in the last 24 hours
Full-timeStanford, CA, USANo salary listed

About the Job

Requirements

  • At least 1 year of experience.
  • Experience or skill in predictive maintenance and preventive maintenance.

Responsibilities

  • Collaborate with the Water Operations Associate Director and Water Systems Lead to organize and schedule workflows for corrective, preventive, and predictive maintenance tasks, project support, and routine operations addressing priority demands and long- and short-term projects.
  • Develop and maintain daily, weekly, and multi-week schedules for facility operations and maintenance activities.
  • Lead the creation and ongoing management of a preventative maintenance program for water operations systems.
  • Manage water system asset data and information to support effective operation of maintenance programs and related reporting requirements.
  • Provide prompt customer service for reactive work orders while balancing preventive maintenance schedules by assessing the situation and available resources.
  • Coordinate work and project timelines with customers through phone calls, emails, and calendar management.
  • Monitor, track, review, and analyze open work orders and their aging for assigned maintenance teams.
  • Enter, manipulate, analyze, and extract data using the Computerized Maintenance Management System (CMMS).
  • Design and prepare reports with statistical information to support process improvements.
  • Identify opportunities to improve processes, planning, or performance by analyzing workflows, project demands, and expectations.

Desired Qualifications

  • Schedule planning.

About the Company

Weekday AI

Proactive software engineer recruitment via referrals

Weekday.works helps companies hire software engineers through proactive outreach and peer-recommended candidates. Its platform automates tracking, pipeline management, and provides weekly updates, while it actively identifies engineers via peer networks, reaches out, shortlists, checks references, and schedules interviews. Differentiators include peer-backed vetting instead of traditional job boards, proactive outreach, and a passive-income reference feature that monetizes referrals. The goal is to reduce the time and effort of hiring by connecting companies with pre-vetted engineers who are open to new opportunities through a network-driven approach.

Company size
201-500
Company stage
Seed
Total funding
$2.3M
Headquarters
Bengaluru, India
Founded
2021

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