below marketmost similar roles pay hereabove market
This role pays less than
80%
of similar roles. Most pay
$160,300–$222,675
— the blue band above.
At the midpoint, this role pays about
$152k
versus about
$191k
for comparable roles.
Based on 240 similar postings.
Employer
About Ramp
Ramp is a corporate spend management platform providing corporate cards, expense management, and accounts payable automation tools to help businesses control spending and operate more efficiently. Industry: Financial Technology & Corporate Spend Management
Ramp currently has
26 open roles
on FindRole.
Listed pay typically runs
$189,000–$325,000
across 22 roles with salary data.
The Customer Activation Manager | AI Spend joins the team to lead technical activation for AI Spend Management and Router products. This role involves guiding customers through complex implementations, connecting the needs of developers and AI administrators with Finance requirements to create repeatable workflows. You will lead customer discovery, manage provider connections, and investigate setup issues by reading API documentation and analyzing request/response evidence. Key responsibilities include coordinating with Sales, Product, and Engineering on deep integrations, capturing failure patterns, and building implementation playbooks. Required skills include experience in technical customer success, knowledge of AI provider tradeoffs like cost and latency, and the ability to communicate with both technical and finance stakeholders. You will solve problems regarding AI spend controls, model routing, and API-key governance.
Lead customer discovery and implementation planning for AI Spend Management and Router products.
Investigate setup issues by reading API documentation and analyzing request/response evidence.
Translate AI usage, costs, and governance concepts for both technical and finance stakeholders.
Coordinate with internal teams on deep code integrations and provide customers with clear next steps.
Guide customers from initial technical connection to active usage-review or governance workflows.
Document recurring questions and failure patterns to build internal playbooks and troubleshooting steps.
Build the implementation playbook for early product motions as new customer needs emerge.
What we're looking for
4+ years of relevant experience in technical customer success, technical account management, implementations, solutions consulting, or a related customer-facing role.
Experience owning technical customer launches from handoff through verified first use and sustained adoption.
Ability to read API documentation and reason through request/response evidence, authentication, permissions, and integration issues.
Working knowledge of multiple AI providers and the customer tradeoffs around capabilities, cost, latency, reliability, usage limits, and data handling.
Ability to communicate credibly with developers or AI administrators and plainly with Finance leaders.
Comfort solving unfamiliar problems, escalating with useful evidence, and building a repeatable process in a changing product environment.
Experience with AI gateways, model routing, provider integrations, token usage, AI spend controls, or API-key governance (preferred).
Post-sale implementation experience at an AI-first or developer-facing software company (preferred).
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