AI-Powered Customer Success Operations Lead

Bitsight; United States; Remote; USD 79,000 - 117,000; Full time

Job summary

Bitsight seeks a hands-on builder to launch an AI-native Customer Success Ops model. You’ll design AI-enabled workflows across lifecycle management, health, risk, renewal readiness, and executive engagement, partnering with CS, RevOps, Data, Support, and Product to wire data into scalable processes.

The role emphasizes prototype speed, tight feedback loops, and measurable improvements in CS productivity and customer outcomes. Email [e-mail] for inquiries.

Qualifications

• 2–6+ years in Customer Success Operations, Revenue Operations, Support Operations, or similar roles.
• Experience using AI tools to build practical workflows and internal tools.
• Strong builder/operator mindset with fast prototyping and iteration.
• Comfort with CRM, CS, support, revenue, or data systems.
• Ability to turn loosely defined ideas into structured execution.
• Strong systems thinking across process, data, tools, and UX.
• Ability to operate in ambiguity and make pragmatic tradeoffs.
• Excellent cross‑functional communication and documentation skills.
• Willingness to incorporate feedback quickly.

Responsibilities

• Build AI-powered workflows, automations, prompts, templates, and tools.
• Prototype and scale workflows like automated decks, renewal briefs, summaries, risk narratives.
• Operationalize CS operating model across lifecycle stages and health models.
• Connect data from Salesforce, Gainsight, and other systems into workflows.
• Establish prompt structures, QA checks, and documentation for reliability.
• Gather feedback from CS leaders and iterate based on usage.
• Reduce manual reporting and prep time for CS to boost engagement.

Skills

AI tools

Workflow prototyping

CRM systems

Cross-functional comms

Data systems

Ambiguity tolerance

Tools

Salesforce

Gainsight

Gong

Clari

Zendesk

Slack

Zoom

Google Workspace

Claude / ChatGPT / AI tools

Job description

Bitsight seeks a hands-on builder to launch an AI-native Customer Success Ops model. You’ll design AI-enabled workflows across lifecycle management, health, risk, renewal readiness, and executive engagement, partnering with CS, RevOps, Data, Support, and Product to wire data into scalable processes.

The role emphasizes prototype speed, tight feedback loops, and measurable improvements in CS productivity and customer outcomes. Email [e-mail] for inquiries.