Customer Success Director Jobs

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Director, Customer Success

OpenRouter
•$295,000 - $350,000

About The Position

OpenRouter is hiring a Director of Customer Success to build and scale an AI-native Customer Success organization. The role owns Customer Success strategy and execution across AI-native startups, enterprises, and strategic customers, and leads Customer Success Managers while partnering with Forward Deployed Engineering, Support, Sales, and Product. The organization will combine strong customer relationships, technical expertise, intelligent systems, automation, and scalable programs to drive adoption, retention, expansion, and measurable customer value. The Director will own the customer journey from onboarding through production adoption, value realization, retention, and growth. The position includes direct engagement with strategic customers as well as building AI-powered systems and programs for a large and growing developer and startup customer base. Success includes establishing an operating model, customer health and revenue visibility, scalable engagement workflows, and progress against adoption and retention goals.

Requirements

  • Experience leading and scaling Customer Success at a hyperscaling AI-native company, model lab, or developer-first infrastructure platform.
  • At least 8 years of experience in Customer Success, account management, or related post-sales functions.
  • At least 4 years of experience leading teams through significant growth.
  • Experience building scalable Customer Success programs, workflows, automations, or AI-powered systems that improve customer outcomes and team effectiveness.
  • Understanding of APIs, SDKs, LLMs, inference infrastructure, and the challenges of moving AI applications from experimentation into production.
  • A track record of driving retention, expansion, NRR, GRR, and consumption growth in usage-based or subscription businesses.
  • Ability to engage with developers, engineering leaders, founders, and C-level executives and translate technical adoption into measurable business value.
  • Experience building repeatable customer engagement models that support customer and revenue growth without proportional increases in headcount.
  • Ability to use product usage, customer health, adoption signals, and revenue data to prioritize engagement and drive outcomes.
  • High ownership, speed, comfort with ambiguity, and willingness to balance hands-on customer work with building long-term organizational capabilities.

Nice To Haves

  • Experience at a leading LLM model lab, AI inference platform, or developer-first AI infrastructure company.
  • Experience managing enterprise and AI-native startup customer segments.
  • Experience building AI agents, automated customer lifecycle programs, or intelligent customer engagement workflows.
  • Familiarity with model routing, inference economics, latency, reliability, and production AI workloads.
  • Experience building Customer Success organizations in consumption-based, product-led growth environments.
  • Experience partnering closely with Forward Deployed Engineering or technical implementation teams.

Responsibilities

  • Define and execute a Customer Success strategy that scales through intelligent systems, automation, and high-impact customer engagement.
  • Own the customer journey from onboarding through production adoption, value realization, retention, and expansion across customer segments.
  • Drive Gross Revenue Retention, Net Revenue Retention, customer health, and inference consumption growth; partner with Sales on strategic renewals and expansion.
  • Develop AI-powered workflows, customer intelligence, and lifecycle programs to identify risks, uncover growth opportunities, and provide personalized engagement at scale.
  • Build trusted relationships with developers, technical leaders, founders, and executives at strategic customer organizations.
  • Lead and develop Customer Success Managers with technical fluency, commercial acumen, and strong customer ownership.
  • Establish customer health frameworks, success plans, adoption milestones, executive business reviews, and measurable customer outcomes.
  • Partner with Sales, Forward Deployed Engineering, Product, and Support to accelerate customer activation, resolve adoption barriers, and identify growth opportunities.
  • Use product telemetry, inference usage, customer feedback, and business signals to guide proactive engagement and influence product strategy.
  • Develop a Customer Success operating model and roadmap for scaling customer engagement through AI, automation, and a capable team.

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