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GoodData.AI is seeking a Customer Success Specialist to manage a scaled customer portfolio and drive continuous improvement in customer outcomes. You will operate as a hands-on practitioner, handling individual customer cases while building processes, automation, and content that enable the team to serve customers at scale.
Key Responsibilities:
- Manage day-to-day customer operations across a portfolio, ensuring smooth execution and timely resolution of customer needs
- Handle customer cases end-to-end, from business questions and risk mitigation to renewals and growth opportunities, via calls and written communication
- Collaborate cross-functionally with Sales, Finance, Support, and Product teams to resolve customer situations
- Monitor customer health signals (adoption, usage, engagement) and intervene proactively before issues escalate
- Contribute to customer-facing content including guides, how-tos, onboarding materials, and product communications
- Maintain accurate account data and CRM records that support team reporting and decision-making
- Identify recurring work patterns and help convert them into playbooks, reports, and automations
- Share portfolio insights and patterns with internal teams to inform product and support improvements
About GoodData.AI:
GoodData.AI builds an AI-native, full-stack data intelligence platform that empowers enterprises to turn raw data into business impact through agentic AI apps and embedded analytics. The company's mission is to put intelligence wherever decisions are made.
Requirements:
- Experience in a customer-facing role (Customer Success, Support, Account Management, or similar) in a B2B SaaS or tech company; earlier-career candidates welcome
- Strong customer-centric mindset: follow-up discipline, closure orientation, commitment to leaving every customer better off
- Excellent organizational and multitasking abilities to manage multiple customers and priorities simultaneously
- Comfort with data, spreadsheets, and data-driven decision-making
- Proficiency with CRM tools and standard business software, or quick ability to learn them
- Regular use of AI tools in daily work
- Fluent English (written and spoken) for customer interactions and cross-company collaboration
- Interest in managing customers at scale
Nice-to-Have:
- Experience with customer lifecycle management or mass communication platforms (e.g., HubSpot)
- Background in analytics, BI, or data products
- Exposure to renewal processes or other commercial workflows
- Experience creating customer-facing content (guides, release notes, newsletters)
- Interest in AI and automation
