Hercules AI
Customer Operations Lead
San Francisco · Contract
Sponsorship not specified$100k-$250kDetected 149 days ago
Process ImprovementCustomer SupportCadenceCommunication
About the role
- Hercules' operating principles guide how we make decisions every day.
- Most of them are specifically choices that we as a company unique prioritize and so can be learned on the job.
- However, we do specifically filter for these principles our hiring process: 1.
Responsibilities
- We're hiring a Customer Operations Lead to run day-to-day customer operations and ensure fast, high-quality outcomes.
- You will own non-technical support, billing ops, triage into technical support, and a light support-to-success motion for renewals and upsells.
- You will also hire and manage contractors to scale support capacity.
- you drive outcomes, not just ticket closure
- WHAT WILL YOU LEAD?
- handle requests when AI support fails or users need human help
- classify issues, gather context, escalate to Technical Support/Engineering with clean repro details
- source, hire, onboard, schedule, and manage contractors; set QA standards, macros, and playbooks
- manage hot accounts and cross-team prioritization across support and engineering
Skills
- Strong understanding of billing and payments workflows (refunds, disputes, subscriptions)
- Experience managing other employees or contractors
Compensation
- What's the compensation?
Benefits
- define and run response SLAs, backlog health, and customer outcome accountability
- Healthcare, vision, and dental
- Take what you need vacation policy
Company info
- Our bias for action speeds our learning and delights our customers.
- We strive for excellence.
- We are hungry.
- We are willing to work hard and break through walls to achieve the outcomes we want.
- We are willing to operate at any level to get things done.
- We are politely relentless.
Apply directly at Hercules AI →Create a free account for alerts like thisView Hercules AI immigration profile
This listing is sourced directly from Hercules AI's careers page and normalized into a canonical job model.