2 дня назад
Enterprise Customer Success Manager (AI)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Enterprise Customer Success Manager (AI): Driving technical adoption, value realization, and renewals for Prophecy's AI-native data preparation and analysis platform with an accent on modern data stacks, enterprise relationship management, and consultative value reviews. Focus on monitoring technical health, coordinating cross-functional solutions for complex data engineering problems, and translating customer requirements into the AI-driven product roadmap.
Location: United States (remote); up to 30% travel to visit key customers on-site
Company
develops an AI-native data preparation and analysis platform that helps enterprises generate, refine, deploy, and prepare trusted data insights at scale.
What you will do
- Drive customer adoption, technical value realization, production usage, and renewals.
- Track account health, adoption metrics, and technical milestones while identifying and mitigating stalled adoption or technical risk.
- Lead consultative value reviews and QBRs with Account Managers, presenting completed use cases, productivity gains, and roadmap alignment.
- Coordinate with Solutions Engineering, Product Management, and Professional Services to resolve complex data engineering problems.
- Translate customer feedback into actionable insights for Engineering and influence the AI-driven product roadmap.
Requirements
- 5+ years of experience in Customer Success or Account Management in B2B SaaS.
- Experience with the modern data stack, including SQL, ETL, Databricks/Spark, Snowflake, or cloud data warehousing.
- Experience managing Fortune 250 enterprise accounts and working with CIOs, CDOs, data engineering teams, and AI/ML teams.
- Strong consultative communication skills, including building consensus and translating technical complexity into business outcomes.
- Based in the United States and willing to travel up to 30% for customer visits.
Culture & Benefits
- Employee health insurance.
- Competitive compensation.
- End-to-end ownership of projects.
- Opportunity to contribute directly to an innovative AI-native platform.
- Inclusive culture with equal employment opportunity practices.
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