Enterprise Customer Success Lead — AI Voice Platform

Giga AI INC; San Francisco (CA); On-site; USD 200,000 - 250,000; Full time

Benefits offered by this job

Equity

Job summary

Giga is seeking a Customer Success Lead to own consumption across enterprise production customers. You’ll drive usage to meet minimum commitments and expand scope through strategic customer conversations, coordinating with Forward Deployed Engineers and Enterprise Sales.

As the first CS hire, you’ll define the function, report to the CEO, and shape the playbook for future customers with a metrics-driven, cross-functional approach.

Qualifications

• 5+ years in customer success or account management at usage-based companies.
• Experience with AI platforms, CCaaS, or enterprise software is a plus.
• Strong data fluency and ability to translate usage into business impact.

Responsibilities

• Own consumption plans for every account and drive adoption to meet min commitments and beyond.
• Lead the timeline for expansions, coordinating with FDEs and Product to fix blockers and deliver value.
• Escalate and manage production issues with clear ownership and executive communication.
• Evangelize next use cases and quantify savings from new capabilities to buyers.
• Run monthly value reviews and quarterly business reviews with senior leaders.
• Make consumption metrics visible to the revenue org with regular updates.

Skills

Customer success

Account management

Escalation management

Cross-functional collaboration

SQL / data fluency

Education

Bachelor's degree or equivalent experience

Tools

Salesforce

Spreadsheet proficiency

Job description

Giga is seeking a Customer Success Lead to own consumption across enterprise production customers. You’ll drive usage to meet minimum commitments and expand scope through strategic customer conversations, coordinating with Forward Deployed Engineers and Enterprise Sales.

As the first CS hire, you’ll define the function, report to the CEO, and shape the playbook for future customers with a metrics-driven, cross-functional approach.