Talent Acquisition Scheduler & Ops Lead

Parallel Web Systems; Palo Alto (CA); On-site; USD 90,000 - 130,000; Full time

Benefits offered by this job

Generous equity

Visa sponsorships

401K plans

Daily lunch & office snacks

Dinner at the office

Unlimited vacation

Caltrain pass reimbursement

Job summary

Parallel Web Systems seeks a Recruiting Coordinator to run scheduling and admin for every team, coordinating interview loops across multiple calendars and time zones. You will be the main candidate contact from first screen to signed offer, ensuring smooth onboarding with People and maintaining real-time accuracy in Ashby.

You have prior experience coordinating high-volume hiring, keeping ATS clean, and handling compensation details with discretion while building scalable systems for future

Qualifications

• Experience coordinating high-volume hiring across multiple teams.
• Ability to manage interview loops and scheduling in fast-moving environments.
• Maintains a clean ATS and handles onboarding logistics with discretion.

Responsibilities

• Run scheduling and admin for recruiting across Engineering, GTM, and G&A.
• Manage interview loops, calendars, and time zones; coordinate work samples and panels.
• Be the main candidate contact from screen to offer; ensure accurate data in Ashby.
• Collaborate with People for onboarding logistics and track recruiting metrics.

Skills

Recruiting coordination

Scheduling across time zones

Candidate experience

ATS management

High-volume hiring

Cross-team coordination

Discretion in offers

Education

Bachelor’s degree or equivalent

Tools

Ashby

Job description

Parallel Web Systems seeks a Recruiting Coordinator to run scheduling and admin for every team, coordinating interview loops across multiple calendars and time zones. You will be the main candidate contact from first screen to signed offer, ensuring smooth onboarding with People and maintaining real-time accuracy in Ashby.

You have prior experience coordinating high-volume hiring, keeping ATS clean, and handling compensation details with discretion while building scalable systems for future