Customer Activation Manager | AI Spend

ABOUT RAMP

Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $275B in annualized spend flows in and out of 85,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.

The problems are high-stakes, data-dense, and unforgiving.

We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.

The median Ramp customer saves 7.5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.

If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.

ABOUT THE ROLE

Ramp is hiring a Customer Activation Manager for AI Spend Management https://ramp.com/ai-cost-monitoring and Router https://www.prnewswire.com/news-releases/ramp-launches-routercom-to-cut-companies-rising-ai-bills-302855572.html. AI Spend Management helps Finance and Engineering see connected AI spend, understand what changed, and assign it to the right owner; Router helps builders route AI model requests. You will guide customers through technical activation, connect the work of developers and AI administrators with the needs of Finance, and turn initial setup into a useful, repeatable workflow. You will lead the customer plan for AI Spend Management and coordinate with specialist Solutions partners when Router requires deeper code integration. This is an early product motion, so you will help build the implementation playbook as we learn.

WHAT YOU’LL DO

• Lead customer discovery and implementation planning, including provider connections, prerequisites, owners, usage visibility, first-use milestones, and adoption follow-through.

• Read API documentation and request/response evidence to investigate setup issues such as credentials, permissions, usage limits, model selection, and product behavior.

• Help technical and finance stakeholders understand AI usage, costs, and governance choices in language each group can act on.

• Coordinate with Sales, Customer Success, Technical Solutions, Product, and Engineering on deeper Router integrations or issues that require code-level work; give customers a clear owner and next step.

• Guide customers from a working connection to a useful usage-review or governance workflow, and verify that the workflow is used after launch.

• Capture recurring questions and failure patterns in customer guidance, troubleshooting steps, and internal playbooks.

WHAT YOU’LL NEED

• Roughly 4+ years of relevant experience in technical customer success, technical account management, implementations, solutions consulting, or a related customer-facing role; level is flexible based on experience.

• 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; production coding is not required for this role.

• 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, keeping both aligned on the launch plan.

• Comfort solving unfamiliar problems, escalating with useful evidence, and building a repeatable process in a changing product environment.

NICE TO HAVES

• Experience with AI gateways, model routing, provider integrations, token usage, AI spend controls, or API-key governance.

• Post-sale implementation experience at an AI-first or developer-facing software company.

Responsibilities

• Lead customer discovery and implementation planning, including provider connections, prerequisites, owners, usage visibility, first-use milestones, and adoption follow-through.
• Read API documentation and request/response evidence to investigate setup issues such as credentials, permissions, usage limits, model selection, and product behavior.
• Help technical and finance stakeholders understand AI usage, costs, and governance choices in language each group can act on.
• Coordinate with Sales, Customer Success, Technical Solutions, Product, and Engineering on deeper Router integrations or issues that require code-level work; give customers a clear owner and next step.
• Guide customers from a working connection to a useful usage-review or governance workflow, and verify that the workflow is used after launch.
• Capture recurring questions and failure patterns in customer guidance, troubleshooting steps, and internal playbooks.

Requirements

• Roughly 4+ years of relevant experience in technical customer success, technical account management, implementations, solutions consulting, or a related customer-facing role; level is flexible based on experience.
• 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; production coding is not required for this role.
• 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, keeping both aligned on the launch plan.
• Comfort solving unfamiliar problems, escalating with useful evidence, and building a repeatable process in a changing product environment.

Preferred Qualifications

• Experience with AI gateways, model routing, provider integrations, token usage, AI spend controls, or API-key governance.
• Post-sale implementation experience at an AI-first or developer-facing software company.