We are looking for a CS AI Business Partner to help Customer Success turn AI strategy into practical business impact.
As CS scales, operational complexity around support, escalations, incidents, customer communication, knowledge management, services, and proactive customer management continues to grow. AI creates a major opportunity to improve efficiency, customer experience, visibility, and proactive service - but capturing that value requires dedicated ownership close to the business.
The CS AI Business Partner will consume the company-wide AI strategy, standards, and operating model led by AI Mind, and tailor them to the specific needs of the CS department across People, Processes, Technology, and Performance.
This is a hands-on business partner role. The person will partner with CS leadership, CS Ops, CX Delivery, Support, Services, CXE, AI Mind, and AI RevOps to identify high-impact opportunities, build and operationalize AI-powered workflows, agents,
Requirements: 3+ years of hands-on experience working with AI - building AI-powered solutions, agents, automations, or AI-driven workflows in a professional setting.
3+ years in roles requiring both technical depth and business acumen - such as solution architecture, systems design, technical consulting, product, operations, CS Ops, customer operations, or technology-driven business transformation.
Strong understanding of Customer Success, support operations, customer operations, or post-sale customer journeys.
Ability to translate business problems into practical AI solutions that are adopted by real users.
Strong technical and architectural thinking, including workflow design, integrations, prompt logic, agent behavior, automation, and scalable systems.
Understanding of AI solution design, including prompt engineering, context engineering, agent design, orchestration, workflow automation, integrations, and runtime behavior.
Experience working with operational systems such as Zendesk, Slack, Notion, CRM, knowledge bases, data tools, workflow automation platforms, or similar tools.
Strong execution mindset, with the ability to move from problem definition to prototype, rollout, measurement, and continuous improvement.
Excellent communication and stakeholder management skills, including the ability to present to leaders, facilitate workshops, coach teams, and translate technical concepts into business language.
Strong analytical skills, with the ability to define KPIs, identify patterns, measure impact, and improve performance over time.
High adaptability, curiosity, and comfort working in ambiguity as AI tools and business needs evolve.
Technical education or equivalent practical experience in Computer Science, Information Systems, Industrial Engineering, Data, Operations, or a related field.
This position is open to all candidates.