Scaled CSM & Automation Lead: AI-Driven Growth

Juicebox; San Francisco (CA); On-site; USD 140,000 - 210,000; Full time

Benefits offered by this job

Equity

Employer-paid health care

Wellness stipend

Daily meals

Commuting stipend

Job summary

Juicebox is hiring its first Scaled Customer Success lead to own the customer journey, health scoring, lifecycle automation, and scalable programs. You will partner with our CS Programs team and VP of CS to drive adoption, retention and expansion across a growing managed base.

You will design automations and workflows, unify signals, and build an AI-powered customer experience that scales with the business, directly impacting NRR and ARR.

Qualifications

• 4+ years in Digital Customer Success, Scaled CS, Lifecycle Marketing, Customer Marketing, CS Strategy & Ops, Growth, or a CS leadership role at a high-growth SaaS company.
• Proven experience building scaled customer programs and automation from the ground up.
• Hands-on experience with AI and CS tooling such as Claude, HubSpot, Pylon, Gainsight, or similar platforms.

Responsibilities

• Own customer health scoring and risk detection with activation insights.
• Scale CS engagement with automations, sequences, and workflows from SMB to enterprise.
• Build onboarding, adoption, renewal, expansion, and re-engagement programs.
• Unify signals from product usage, Slack, Gong, and other data sources for actionable insights.
• Drive renewal, expansion, upgrade, and Agent activation motions to grow ARR.
• Partner with CS Programs, Growth, Product, and Marketing for an AI-powered customer journey.

Skills

Digital CS

Scaled CS

Data-driven

ambiguity handling

AI-native CS

Tools

Claude

HubSpot

Pylon

Gainsight

Job description

Juicebox is hiring its first Scaled Customer Success lead to own the customer journey, health scoring, lifecycle automation, and scalable programs. You will partner with our CS Programs team and VP of CS to drive adoption, retention and expansion across a growing managed base.

You will design automations and workflows, unify signals, and build an AI-powered customer experience that scales with the business, directly impacting NRR and ARR.