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Customer Success Architect (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Customer Success Architect (AI) (Rovo/Atlassian): Designing and deploying custom AI agents, enterprise connectors, and production workflows that turn Rovo adoption into measurable customer outcomes with an accent on discovery workshops, solution design, and technical enablement. Focus on building AI agents, operationalizing integrations, guiding sandbox-to-production deployments, and improving adoption across complex enterprise workflows.
Location: Remote, UK; this position is UK based. Travel up to 15% domestically and internationally for events and customer meetings.
Company
Provider of collaboration and work-management software, including Jira, Confluence, and Rovo, designed to help teams coordinate and deliver work.
What you will do
- Facilitate use-case discovery workshops with enterprise customer teams to identify high-impact AI opportunities across workflows, pain points, and measurable outcomes.
- Co-build custom Rovo agents and configure third-party connectors using Jira, Confluence, and Rovo Studio, with customers actively participating in implementation.
- Guide solutions from sandbox to production, validate agent performance and data flows, and enable customers to iterate and scale independently.
- Partner with Account Teams and Customer Success Managers to plan customer-specific activation journeys and hand off solutions for sustained growth.
- Share product friction and field patterns with Rovo Product, Engineering, and AI teams to improve adoption.
- Manage technical customer engagements, enable customers, and improve processes supporting customer satisfaction and operational efficiency.
Requirements
- 3–5 years of experience in Customer Success or account management, managing enterprise customers with complex SaaS portfolios.
- Experience with AI platforms, the ecosystem, Jira, Confluence, Rovo, and technical product demonstrations.
- Hands-on experience building AI agents, applying prompt engineering, configuring integrations between enterprise knowledge sources and AI systems, and helping organizations adopt and operationalize AI tools in production.
- Specialized knowledge of enterprise workflows in at least one of product development, IT service management, or business operations.
- Understanding of how AI agents and automation improve incident response, backlog management, knowledge discovery, and cross-team collaboration.
- Familiarity with third-party connector ecosystems such as Google Drive, SharePoint, Slack, and GitHub.
- Strong product mindset and ability to own technical problems end-to-end from discovery through deployment.
- Effective communication skills, including the ability to influence stakeholders and explain AI concepts to varied and non-technical audiences.
- Ability to deliver durable solutions while rapidly prototyping when needed and translating AI capabilities into tangible outcomes.
Culture & Benefits
- Choice of working from an office, from home, or through a combination of both, subject to hiring in countries with a legal entity.
- Health and wellbeing resources.
- Paid volunteer days and community-support initiatives.
- Benefits, bonuses, commissions, and equity may be available for the role.
- Equitable, explainable, and competitive compensation practices based on skills, knowledge, and experience.
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