About Our Client

The client is the leading Cloud and AI Cost Governance platform. From complex cloud architectures to modern AI workloads and AI agents, they empower engineering and FinOps teams to take full control of their enterprise spend. They don't just report numbers: they provide actionable intelligence and continuous cost optimization that directly impacts the bottom line. Trusted by industry giants like Ticketmaster and Bayer (who achieved a 20x ROI), their customers consistently see massive value within days.

Why Join Them?

This is a chance to own the technical success of the client's largest North American enterprise customers and to build the US side of their Customer Success practice. You'll work with platform engineers, DevOps leads, and FinOps practitioners up to the VP of Cloud Engineering and the CFO office, and you'll lead adoption of AI cost governance, their fastest-growing expansion motion. The CS team automates its own work with AI agents and assistants: you'll use them daily, improve them, and build your own.

Role Overview

You will own the technical success of the client's largest North American enterprise customers and build the US side of their Customer Success practice. This is a technical role: Your day-to-day counterparts are platform engineers, DevOps leads, and FinOps practitioners, and they expect you to understand their architecture, speak their language on cost and usage, and defend a rightsizing recommendation.

• Own technical onboarding: connecting cloud accounts, IAM roles and permissions, integrations with the customer's engineering tools, and validating that the data is complete and right.
• Navigate enterprise security and compliance: vendor questionnaires, SOC 2 and AI risk assessments, IAM and permission reviews; you know how to get a stalled security review moving.
• Build multi-threaded relationships from the FinOps lead and platform engineers up to the VP of Cloud Engineering, the CFO office, and procurement, and run quarterly executive business reviews that tie the company to the customer's own targets.

Non-Negotiables

• A hands-on cloud background: you have worked inside AWS, Azure, or GCP environments as an engineer, architect, or technical customer-facing person at a cloud security, infrastructure, observability, or FinOps company. You know what the main cloud services do and how they are charged, how IAM, Kubernetes, and tagging fit together, and you can hold your own with the engineer who owns the environment.
• A technical path into customer success: solutions engineer, technical account manager, cloud architect, DevOps or SRE, or FinOps practitioner, followed by at least 3 years owning outcomes for enterprise customers.
• Hands-on with the modern CS stack and a daily user of AI assistants and agents in your own work.
• Program management discipline: you run onboarding, escalations, and EBRs on a cadence, with written status, owners, and dates.

Nice to Have

• Fluent in data: you read usage and savings dashboards, build your own views, and you never bring a customer a health score you can't defend.
• Executive presence with VP and C-level sponsors, and equal comfort with the engineer who has to do the work.
• 5+ years in customer-facing roles for enterprise B2B SaaS, including experience owning strategic accounts ($150K+ ACV) or leading a CS team.
• You've built an automation or an agent that saved your team real hours, and you can show it.
• FinOps Certified Practitioner, or equivalent hands-on FinOps experience inside an enterprise or at a cloud cost, cloud security, or infrastructure platform company.
• Experience growing a CS function from a small team: playbooks, health scoring, renewal process, hiring.

Compensation & Benefits

On-Target Earnings: TBD (client finalizing range; flexible for the right person)

Benefits: TBD

Location

Remote (US): NYC, Connecticut, New Jersey, Pennsylvania areas preferred. Willingness to travel about 10% for on-site customer visits, meet with the team at headquarters in NYC and industry events.