Customer Support
Serving and retaining customers after the sale. Covers customer success, customer support/technical support, customer experience, implementation/onboarding, customer operations, renewals (retention-focused), professional services, and customer education/training.
Roles
The canonical roles within Customer Support.
Customer Success Manager
Customers Success Managers at AI companies serve as strategic advisors to enterprise and mid-market accounts, embedding themselves within customer organizations to understand business objectives and drive adoption of AI platform capabilities. They balance technical depth with business acumen, translating complex AI workflows into measurable outcomes while building relationships across multiple stakeholder levels—from individual contributors to C-suite executives. These roles sit at the intersection of customer retention and product influence, where insights gathered from deployments directly shape product roadmaps and go-to-market strategy. They typically operate within dedicated customer success teams that coordinate closely with sales, solutions architecture, and product to ensure seamless handoffs and identify expansion opportunities throughout the customer lifecycle.
Technical Support Engineer
Engineers in this role spend their days diagnosing and resolving complex technical issues for AI platform customers—from API integration failures and authentication problems to GPU cluster performance bottlenecks and model serving errors. They distinguish themselves by becoming deep product experts who understand not just how to fix problems, but why they occur across the full stack, then translate those insights into better documentation, runbooks, and product improvements. These engineers typically sit within customer success or customer experience teams at AI infrastructure and application companies, working closely with engineering and product teams to turn customer pain points into systematic fixes that prevent future issues.
Engagement Manager
This role oversees the full lifecycle of technical implementations and ongoing customer partnerships for enterprise AI platforms, managing multiple concurrent engagements while serving as the primary point of contact for strategic accounts. Engagement Managers distinguish themselves through their ability to balance project management rigor with trusted advisor relationships, embedding themselves within customer teams to drive adoption of AI capabilities—whether for data platforms, revenue intelligence systems, or enterprise search solutions. They typically sit within Professional Services organizations alongside Solution Architects and AI Engineers, operating at the intersection of delivery execution, customer success, and account growth.
Implementation & Deployment Specialist
Implementation & Deployment Specialists guide enterprise customers through complex technical integrations and go-live processes for AI-powered platforms and systems. They work hands-on to configure environments, troubleshoot deployment challenges, and translate customer business needs into technical solutions—often serving as the primary technical bridge between customer teams and internal engineering. What distinguishes this role is its dual focus: balancing deep technical acumen with strategic customer relationship skills, ensuring both flawless execution and long-term adoption across diverse infrastructure environments. These specialists typically embed themselves in customer organizations during critical implementation phases, then gradually transition customers toward self-sufficiency while capturing insights that inform product development.
Support Operations Specialist
This role builds and optimizes the operational backbone of customer support at high-growth AI companies. Support Operations Specialists design scalable workflows, configure AI-powered support tools, maintain knowledge systems, and analyze performance metrics that keep support teams running smoothly as products scale rapidly. Unlike frontline support agents, these specialists focus on infrastructure—improving how tickets flow through systems, training AI chatbots, integrating tooling, and identifying process gaps before they become problems. They typically sit within customer experience or operations teams, partnering closely with product, engineering, and support leadership to transform reactive support into a strategic competitive advantage that scales with the business.
Customer Enablement & Education Specialist
This role designs and delivers scalable training programs that accelerate customer adoption of AI products, translating technical capabilities into measurable business outcomes. Specialists work across the full customer lifecycle—from initial onboarding through advanced use cases—partnering with sales, product, and success teams to create structured enablement paths. What sets this apart from support is its focus on proactive skill-building and value realization rather than reactive problem-solving. These professionals typically embed within go-to-market or customer success functions at growing AI companies, serving as strategic advisors who blend technical fluency with instructional design to help enterprise customers maximize platform impact.
Account Manager
Account Managers serve as the primary commercial and strategic advisor to existing customers, owning the full post-sale lifecycle from adoption through renewal and expansion. These roles focus on protecting and growing customer accounts by understanding evolving business needs, uncovering new use cases for AI products, and navigating complex renewal negotiations with multiple stakeholders. Account Managers typically sit within dedicated account management teams alongside customer success and sales counterparts, acting as the quarterback between customers and internal product, engineering, and operations teams to ensure long-term partnerships deliver measurable business outcomes.
Recent Jobs
The latest Customer Support openings across the AI industry.