AI Deployment Lead for Revenue Ops Implementations

FDE Times

San Francisco (CA)

On-site

USD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

Equity
Comprehensive benefits

Job summary

Nooks.ai is building AI-powered revenue agents and is assembling a foundational implementation team in San Francisco. This role leads post-sale deployments, collaborates with Rev Ops, Sales, and Marketing, and guides customers through configuration, testing, and adoption.

You will own project plans, drive value, and coordinate with Engineering for migrations. Ideal candidates have 2+ years in enterprise SaaS deployments, strong customer-management and communication skills, and experience with

Qualifications

  • 2+ years of enterprise SaaS implementation and onboarding with Fortune 500 customers.
  • Domain expertise in Revenue or Sales Operations.
  • Experience with the sales tech stack and integrations (e.g., Salesforce, HubSpot, Outreach, Salesloft).
  • Outstanding customer management, discovery, advisory, and stakeholder management skills.

Responsibilities

  • Lead customer deployments from kickoff to launch with multiple stakeholders.
  • Develop and manage project plans delivering quick time to value and on-time delivery.
  • Conduct discovery sessions to understand goals, metrics, GTM initiatives, and workflows.
  • Guide customers through configuration, testing, and adoption per requirements and best practices.
  • Coordinate migrations and integrations with Engineering during launches.
  • Set up AI-powered signals, workflows, and templates and ensure successful adoption.

Skills

Customer management
Communication
Project management
Problem-solving

Tools

Salesforce
HubSpot
Outreach
Salesloft

Job description

Nooks.ai is building AI-powered revenue agents and is assembling a foundational implementation team in San Francisco. This role leads post-sale deployments, collaborates with Rev Ops, Sales, and Marketing, and guides customers through configuration, testing, and adoption.

You will own project plans, drive value, and coordinate with Engineering for migrations. Ideal candidates have 2+ years in enterprise SaaS deployments, strong customer-management and communication skills, and experience with

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