This list contains only the countries for which job offers have been published in the selected language (e.g., in the French version, only job offers written in French are displayed, and in the English version, only those in English).
We're looking for our first Customer Success hire to build and lead our CS function from the ground up. You'll own customer relationships directly while creating the processes and infrastructure to scale. This is a rare opportunity to define how we deliver customer success at a fast-growing AI infrastructure company. You'll work directly with founders, have a massive impact, and build something that scales.
Job Responsibility:
Manage a portfolio of customers directly. Build deep relationships with technical and business stakeholders
Analyze usage patterns and create custom LLM optimization strategies for each customer
Guide customers on model selection, routing strategies, and cost/quality/performance tradeoffs
Stay ahead of the LLM landscape and educate customers on emerging capabilities and providers
Navigate technical discussions with engineering teams and strategic conversations with business stakeholders, including C-level executives
Build CS foundation from scratch—define strategy, metrics (NRR, GRR, CSAT), customer segmentation, and scalable playbooks for onboarding, adoption, expansion, and renewals
Set up the CS tech stack and operational workflows. Establish early warning systems and health scoring
Partner with Sales on account transitions and expansion plays
collaborate with Product and Engineering to represent customer feedback and influence roadmap
Advocate for customer needs with Product and Engineering teams and influence the roadmap based on customer insights
Requirements:
7+ years in Customer Success with experience building or scaling a CS function
Strong retention and expansion track record
Hands-on approach - excited to be in the trenches with customers while building for scale
Proven builder - you've created CS processes, playbooks, and teams from scratch
Technical depth - fluent with APIs, can read code, and understand technical architectures
Deep LLM/AI knowledge - understand models, providers, capabilities, tradeoffs, and the evolving landscape
Hiring experience - you've successfully recruited and developed CS talent
You have executive presence and can engage with C-suite stakeholders and technical teams equally well
Nice to have:
First or second CS hire at a startup that scaled
Experience at API-first or AI infrastructure companies
Technical background (engineering, data science, solutions architecture)
Experience with prompt engineering and LLM evaluation